In today’s digital age, personal and professional data are constantly being stored, transferred, and backed up across various devices. Among these devices, hard drives and smartphones often contain an immense amount of sensitive information—data that, if left unprotected or improperly discarded, can pose significant cybersecurity threats.

As people upgrade their technology, it’s easy to forget that the devices they no longer use still contain vast amounts of data. Whether you’re clearing out old hard drives, passing along smartphones, or simply discarding outdated technology, you might be unknowingly opening the door to a host of cybersecurity risks. Let’s dive into why old devices can be a cybersecurity minefield and how to protect your data from potential breaches.

The Data Dilemma: Why Old Devices Are Cybersecurity Hazards

1. Residual Data on Hard Drives

When a hard drive is no longer needed, many people make the mistake of simply deleting files, formatting the drive, or tossing it away. However, these actions don’t fully erase the data. When you delete a file, the operating system marks the space as available for use, but the actual data remains intact until overwritten by new information. Without specialized tools, recovering these files is relatively easy.

Cybersecurity Risk: If an attacker gains access to an old hard drive, they can recover sensitive information like passwords, banking details, business files, and even personal communications. This data can be used for identity theft, financial fraud, corporate espionage, or further cyberattacks.

2. Smartphones: A Treasure Trove of Personal Information

Old smartphones, especially when they are sold or donated without proper data erasure, can be a goldmine for cybercriminals. A smartphone doesn’t just store your contacts and photos; it may also contain sensitive information such as passwords, email accounts, banking apps, GPS history, and more.

Cybersecurity Risk: If a device is sold or disposed of without clearing all data, the new owner can easily access personal information. Smartphones are often not just personal, but interconnected with various services like social media accounts, cloud backups, and even your workplace’s internal networks. If not wiped correctly, an attacker could use the data for malicious activities such as social engineering, theft, or identity fraud.

3. Inadequate Factory Resets

People often believe that performing a factory reset on their smartphones or laptops will completely remove all data from the device. However, factory resets are not foolproof. In some cases, the data remains on the device in a recoverable format. While a factory reset does delete data from the operating system, it may leave traces of your information in other areas of the device, especially in hidden or encrypted storage locations.

Cybersecurity Risk: Without fully erasing or encrypting data before disposing of a device, there’s always the risk that critical data will remain intact and accessible by malicious actors. It’s not uncommon for thieves to buy old smartphones or hard drives and use advanced data recovery software to retrieve sensitive files.

4. Weak Security on Older Devices

Old hard drives and smartphones may also suffer from outdated security protocols. As hardware ages, manufacturers stop updating the device’s software, leaving it vulnerable to known exploits and security loopholes. For example, older smartphones that are no longer supported by the manufacturer may still run outdated operating systems with security flaws, making them easy targets for hackers.

Cybersecurity Risk: These outdated devices, when connected to a network, can act as a weak point in a larger system. If a cybercriminal gains access to an old device with outdated security, they might be able to exploit vulnerabilities to infiltrate networks, gain unauthorized access to files, or launch attacks on other devices.

How to Safeguard Your Data: Best Practices for Old Devices

To ensure that your sensitive data doesn’t fall into the wrong hands, it’s essential to take certain precautions when dealing with old hard drives and smartphones.

1. Use Data Destruction Tools

Simply deleting files or doing a factory reset isn’t enough to safeguard your data. Specialized data destruction software, such as DBAN (Darik’s Boot and Nuke) for hard drives, can overwrite data multiple times to ensure it is unrecoverable. This software uses secure algorithms to render the data irretrievable.

For smartphones, apps like iShredder or Factory Reset Protection can help completely wipe your device clean before disposal. If possible, use encryption to make sure that even if data is recovered, it remains unreadable without the decryption key.

2. Physically Destroy the Device

For high-value or extremely sensitive data, physical destruction of the device may be the best option. You can crush, shred, or melt down hard drives to render them unusable. For smartphones, remove the battery (if possible), smash the device, and ensure the internal memory is destroyed. While this may seem extreme, it’s the most secure way to ensure that the data is completely unrecoverable.

3. Don’t Trust Factory Resets Alone

If you decide to use a factory reset, it’s important to encrypt your device first, especially on smartphones. Encryption adds an extra layer of protection by ensuring that even if the data is somehow retrieved, it will be unreadable. After encrypting, perform a factory reset, and if possible, do a second reset to further reduce the chances of residual data.

4. Recycle Devices Properly

Instead of simply discarding old devices, consider donating or recycling them. Many organizations offer secure data destruction services and may even provide certificates of data destruction for peace of mind. Certified recycling centers ensure that your devices are properly wiped or destroyed before being disposed of.

5. Be Aware of Data on External Storage Devices

It’s not just hard drives and smartphones that pose risks. External storage devices like USB drives, SD cards, and even cloud backups can harbor old, sensitive data. Always ensure that any external storage devices are fully wiped using trusted data-erasure tools before you part with them.

The Bottom Line

Old hard drives and smartphones are much more than just outdated technology; they are storage devices that may contain an alarming amount of personal, financial, and professional data. Whether you’re upgrading your phone or clearing out your old storage devices, always take the time to ensure that your data is securely erased.

The cybersecurity risks posed by improperly disposed of devices are real, and the consequences can be severe, ranging from identity theft to corporate espionage. By following best practices for data destruction and remaining vigilant about device security, you can significantly reduce the likelihood of your old devices becoming a gateway for cyberattacks.

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In a troubling development for enterprise cloud users, federal authorities are investigating a major data breach involving Oracle—one of the world’s leading cloud infrastructure providers. Hackers reportedly gained unauthorized access to Oracle systems, stealing sensitive client login credentials including usernames, passkeys, and encrypted passwords. According to a Bloomberg report, this is Oracle’s second cybersecurity disclosure in just a month, raising serious concerns about the security of cloud platforms and what businesses should do in response.

The incident is being jointly investigated by the FBI and cybersecurity firm CrowdStrike. Early findings suggest that the attacker may have demanded an extortion payment from Oracle, highlighting the growing trend of cybercriminals using ransomware-style tactics even against major tech giants.

So what does this breach mean for Oracle’s cloud customers—and potentially for any business relying on third-party cloud services?

For one, it’s a harsh reminder that even the biggest cloud providers are not immune to breaches. And when credentials are compromised, the fallout can cascade across systems, especially if those credentials are reused or tied to critical business operations. It underscores the urgent need for cloud customers to revisit and strengthen their security posture.

Akash Mahajan, cybersecurity expert and CEO of Kloudle, outlines five immediate actions companies should take if they believe they may have been affected by the Oracle breach—or if they want to proactively guard against similar threats.

1. Force Password Resets Across All Systems

If your organization uses Oracle services, assume credentials may be compromised. Immediately reset all passwords associated with these accounts. Adopt strong password policies—minimum 16 characters, complex combinations, and absolutely no reuse across systems. Consider deploying password managers to help staff generate and store secure credentials.

2. Implement Multi-Factor Authentication (MFA)

Even if attackers have stolen credentials, MFA can act as a critical line of defense. Enable MFA across all systems, especially cloud services, administrative accounts, and remote access portals. Mahajan recommends using app-based authenticators or hardware tokens over SMS, which is more vulnerable to interception.

3. Audit Access Logs for Suspicious Activity

Comb through your logs for red flags—unusual login times, logins from unfamiliar IP addresses, or unexpected data exports. Focus on systems connected to Oracle and accounts that share similar credentials. Pay close attention to privileged accounts, which are prime targets for attackers.

4. Review and Restrict Third-Party Integrations

If your Oracle environment connects with other systems—whether through APIs, OAuth tokens, or service accounts—those credentials could also be exposed. Audit all third-party connections and revoke or rotate any potentially compromised tokens. Apply the principle of least privilege to limit access and reduce the blast radius of any future breach.

5. Implement Enhanced Monitoring and Threat Detection

This isn’t a one-and-done scenario. Set up systems to detect brute force attacks, credential stuffing, or other signs of compromise. Configure alerts for any login attempts using known compromised credentials. Lock out accounts after a set number of failed attempts and consider implementing behavior-based monitoring to spot anomalies.

A Breach With Lingering Consequences

“This breach is particularly concerning because of the potential for credential reuse across multiple systems,” warns Mahajan. He advises organizations to not only take immediate protective steps but also to conduct a full security assessment, engage their cyber insurance provider, and explore tools like privileged access management (PAM) solutions.

It’s also worth remembering: attackers don’t always strike immediately. Stolen credentials may lie dormant for weeks or months before being used. That’s why long-term vigilance—backed by strong monitoring, incident response planning, and regular security audits—is essential.

As the investigation into the Oracle breach unfolds, one thing is clear: trust in the cloud must be accompanied by a strong, proactive security strategy.

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In today’s increasingly digital world, concerns about the safety and security of personal and corporate data are paramount. With high-profile incidents in the media, terms like “data breach” and “data leak” are often used interchangeably. However, there are significant differences between the two, each with unique implications for businesses and individuals. Understanding these differences is crucial for responding effectively to these incidents and protecting sensitive information.

What is a Data Breach?

A data breach refers to an intentional or unintentional incident where unauthorized individuals or entities gain access to sensitive or confidential data. The key aspect of a data breach is that it involves malicious or unauthorized access to protected data. This can happen in a variety of ways, such as through hacking, phishing attacks, or the exploitation of vulnerabilities in a system.

Examples of data breaches include:

•    Hackers gaining access to a company’s database and stealing sensitive customer data.
•    A company insider improperly accessing or misusing confidential information.
•    Ransomware attacks where data is encrypted and held hostage until a ransom is paid.

Data breaches can involve anything from email addresses to financial records, healthcare data, or intellectual property. Once the breach has occurred, the stolen or exposed data can be used for malicious purposes, such as identity theft, fraud, or even corporate espionage. Due to the intentional nature of the access, data breaches often have legal consequences, including fines, lawsuits, and reputational damage.

Key Characteristics of a Data Breach:

•    Unauthorized access to data, often by cybercriminals or insiders.
•    Malicious intent or exploitation of vulnerabilities.
•    Often results in stolen data being used for illegal activities.
•    Affected parties are often notified because of legal obligations.

What is a Data Leak?

A data leak, on the other hand, typically occurs when data is accidentally exposed or unintentionally made accessible to the public or unauthorized individuals. Unlike a data breach, there is usually no malicious intent behind a leak. The exposed data may have been left unprotected due to poor security practices or simple human error.

Examples of data leaks include:

•    A cloud server misconfiguration that makes sensitive files publicly accessible.
•    Employees accidentally emailing confidential documents to the wrong recipient.
•    A company’s website that inadvertently exposes user data due to coding errors or security flaws.

While data leaks do not involve the malicious theft of data, they can still have serious consequences. Exposed data can be accessed by anyone, including criminals, competitors, or hackers. In some cases, the leak may go unnoticed for an extended period of time, leaving the exposed data vulnerable to misuse.

Key Characteristics of a Data Leak:
•    Data is exposed due to human error or poor security practices.
•    There is no malicious intent behind the exposure.
•    Affected data is often accessible by anyone with the right access.
•    The exposed data may be accidentally found, without any criminal action.

Key Differences Between a Data Breach and a Data Leak

While both incidents result in the exposure of sensitive data, there are important distinctions between a data breach and a data leak:

1. Intent:

@   A data breach involves malicious intent or unauthorized access by cybercriminals or insiders.

#    A data leak is typically caused by human error or a lack of proper security protocols.

2. Cause:

@    A data breach is the result of deliberate actions, such as hacking or exploitation of system vulnerabilities.

#    A data leak usually occurs because of poor security practices, like leaving files publicly accessible or making inadvertent mistakes.

3. Consequences:

@    A data breach often involves the stolen data being used for fraudulent or malicious activities, such as identity theft, blackmail, or financial fraud.

#  A data leak may expose data, but typically there is no immediate malicious use, though it can still lead to reputational damage or legal action.

4. Discovery:

#  A data breach often takes longer to detect, as cybercriminals may cover their tracks or continue accessing the system without detection.

# A data leak is usually noticed sooner because it is typically accidental and can be easily accessed by anyone.

5.Legal Ramifications:

# A data breach often requires immediate notification to affected individuals, regulatory bodies, and possibly legal consequences for the organization responsible.

# A data leak might not involve the same level of legal responsibility if it’s due to negligence, though regulations like GDPR require organizations to address such issues.

Why Understanding the Difference Matters

For businesses, the distinction between a data breach and a data leak is crucial for determining their response strategies, liability, and the appropriate measures to take to prevent further exposure. Data breach protocols typically include immediate investigation, legal notifications, public disclosures, and credit monitoring for affected individuals. On the other hand, while data leaks may still require corrective actions, the primary focus is often on improving security measures and addressing any vulnerabilities.

For consumers, understanding the difference can help them better gauge the risk and potential impact of a data exposure incident. Whether it’s a breach or a leak, taking immediate steps to protect personal information, such as changing passwords, monitoring accounts, and staying informed, is essential.

Final Thoughts

Though the terms “data breach” and “data leak” are often used interchangeably, they represent distinct types of incidents with different causes, consequences, and responses. While data breaches involve deliberate criminal activity aimed at stealing sensitive information, data leaks typically result from accidental exposures or poor security practices. Both can have serious implications for privacy, security, and compliance, making it crucial for organizations to maintain robust cybersecurity measures and data protection protocols to safeguard sensitive information.

By understanding these differences, individuals and businesses can take appropriate steps to protect their data and respond effectively in the event of an incident.

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In what has become a significant and concerning information security incident, the Office of the Comptroller of the Currency (OCC), a key branch of the United States Treasury Department tasked with overseeing currency transactions within the nation’s banking system, has officially disclosed a serious breach involving its email systems. In a formal statement released recently, the OCC confirmed that it had notified Congress of the incident, which took place earlier this year in February.

The breach, which remains under investigation, involved an unknown malicious actor who successfully infiltrated the OCC’s email systems. According to the OCC, the cybercriminal(s) gained unauthorized access and potentially stole sensitive information linked to over 160,000 employees of the agency. The OCC’s statement underscored the gravity of the breach, which raises serious concerns about the security of sensitive governmental and financial data.

Cybersecurity Insiders have since learned that the intrusion into the OCC’s email systems might have started as early as June 2023. During this time, the hackers are believed to have accessed and exfiltrated over 150,000 emails, containing possibly confidential data. These activities appear to have gone undetected by the agency’s IT teams, raising questions about the effectiveness of its cybersecurity measures and the extent of the threat.

As of now, the OCC has not provided further details on the specific nature of the compromised data or whether it has impacted other critical systems within the Treasury Department. However, the scale of the breach and the sensitive nature of the agency’s role in monitoring financial transactions nationwide have made this breach particularly alarming.

New Regulations Impacting Data Transfers Across Borders

In related news, a new regulatory measure, which came into effect on Tuesday, April 8, 2025, imposes strict restrictions on businesses operating in key sectors, including manufacturing, technology, finance, and cloud storage. Under this new rule, companies in these industries are now prohibited or severely restricted from transferring bulk data to countries deemed to pose a national security threat. The list of such countries includes Russia, China, Iran, Cuba, North Korea, and Venezuela.

This regulation mandates that businesses, particularly those in the cloud storage sector, must ensure that no data—whether personal, business-related, or otherwise—is transferred to these nations. The data restrictions cover a wide range of sensitive information, including but not limited to, personally identifiable information (PII), biometric data, genomic information, geolocation data, metadata, and any form of government-related data. This also includes crucial information often stored by cloud services such as backup data, data analysis, and even metadata related to communication and activities.

The implications for non-compliance are severe. Companies that fail to adhere to these regulations face significant civil penalties, which could range up to $377,000. In some cases, the penalties could escalate to double the value of the transaction involved, and depending on the situation, violators could also face fines as high as $1 million. Additionally, there are provisions in the law that allow for criminal prosecution, potentially leading to jail terms of up to two years for individuals responsible for breaches of these rules.

The introduction of these new guidelines reflects the growing concerns around national security and the need for stronger control over data flows, particularly in light of rising geopolitical tensions. Businesses operating in these high-risk sectors must now review their data transfer practices carefully to ensure they remain in compliance with these new regulations.

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Alex Quilici CEO of YouMail  

This Identity Management Day, be skeptical, not scared. By now, your identity is already out there. Your phone number, job title, connections, even your social security number — all publicly available. The genie is out of the bottle, and pretending otherwise only puts you at greater risk.

The question isn’t how to hide your identity. It’s how to operate safely in a world where your personal and professional information is already exposed. Assume attackers know more than they should. They’re using publicly available data to impersonate company leaders, target employees, and launch social engineering campaigns that feel alarmingly real. Add in voice cloning and AI-generated deepfakes, and the risk multiplies fast.

Your personal cell phone is often the softest target. It’s the entry point for malware, impersonation attempts, and data exfiltration. And when that device blurs the line between work and personal life, it becomes even more dangerous.

This is where tools make a difference. Not just to block suspicious calls or scan for anomalies, but to give you visibility into what’s being exposed and how it’s being used. The goal isn’t to lock down every piece of information — that’s no longer realistic — but to reduce the blast radius when something goes wrong.

Stop chasing perfect privacy and focus instead on proactive protection. That means using technology to monitor for threats, automating offboarding to close access gaps, reassigning ownership, rotating credentials, and putting guardrails in place to detect unusual activity early.

Rom Camel, CoFounder and CEO of Apono 

This Identity Management Day, let’s spotlight the evolving role of identity security in an increasingly digital and AI-driven world. With remote work, cloud adoption, and digital transformation accelerating, organizations face mounting challenges in managing access to sensitive data and systems.

Emerging technologies like zero trust architecture, decentralized identity, passwordless authentication, and AI-driven security are reshaping identity management. In particular, Large Language Models (LLMs) and AI-powered automation are transforming how organizations make access decisions—analyzing vast amounts of data in real-time to detect anomalies, enforce least privilege, and streamline identity governance.

By embracing cloud-based identity and access management (IAM) and leveraging AI for dynamic, context-aware access control, organizations can strengthen security, enhance efficiency, and maintain compliance—without adding friction to user experiences.

Identity is the foundation of cybersecurity. By prioritizing AI-driven innovation and proactive security, we can build a resilient, adaptive digital future for all.

Piyush Pandey, CEO of Pathlock

Identity Management Day is a reminder that the conversation around identity has changed fundamentally. For decades, traditional identity governance has been primarily focused on driving operational efficiencies through identity lifecycle management, which addresses the joiner-mover-leaver model. However, amid rapid digitalization, this approach has started to fall short, as reality dictates its own terms – with access risks continuously emerging in the myriads of business applications as user roles change throughout their careers.

Our highest-risk, regulated business processes are no longer effectively controlled. Traditional identity frameworks simply can’t keep up with today’s dynamic risk landscape.

Potential negative consequences of overlooking these identity-related risks include excessive access, data breaches, compliance failures, and corporate fraud.  

Identity security for high-risk applications must now focus on compliant provisioning and continuous controls monitoring. It’s not just about ensuring the right people have the right access at the right time – it’s about proactively preventing internal fraud, audit failures, and reputational damage, while responding to risks in real time. And while automating audits saves time and money, securing identity access today must go well beyond compliance. 

Kris Bondi, CEO and Co-founder, Mimoto

The concept of identity is at an inflection point where it will explode into multiple areas. Today, most people still consider identity to be synonymous with a credential or authorized person. That is quickly changing. 

Organizations are realizing the adherent danger in this assumption. According to the IBM data loss prevention report, 95% of malicious activity has a human element. We see this illustrated with the increase in compromised credentials, deepfakes, account takeovers, and internal malicious activity that is missed or the opposite, a tidal wave of false positive alerts.

I predict two changes we’ll see before the Identity Management Day 2026. First, the nuance of the term identity will become widely used. For example, machine-to-machine identity management, workload identities, and person-based identity are all terms used in some DevOps or SOCs that will become more widely understood and used. Second, instead of focusing on protecting “identities,” aka credentials, highly accurate person-based credentials will be used to identify malicious activity in real-time with an understanding of context that hasn’t been possible until now. It is the difference between there is something to investigate with Jack’s account, or, Jane is using Jack’s credentials to access financial systems that she isn’t approved to view.  

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In recent years, the rise of AI-generated art and animation has sparked a revolution in how creative content is produced. Among the most notable examples is the trend of creating artworks inspired by Studio Ghibli’s iconic animation style. With its distinct aesthetic, emotional storytelling, and enchanting visuals, Ghibli’s art has inspired a global audience and is now being replicated by AI tools that can generate similar animations. However, this new wave of technology has raised important cybersecurity concerns that need to be addressed as the line between human creativity and artificial intelligence blurs.

The Rise of AI-Generated Art

AI-driven art tools, such as DALL·E, MidJourney, and other image generation platforms, have made it possible for anyone with a computer to create artwork in the style of famous artists or animation studios. One particular trend that has emerged is the fascination with Studio Ghibli’s signature art style — with its lush landscapes, imaginative creatures, and whimsical characters. Fans of Ghibli, as well as digital artists, have eagerly embraced the opportunity to use AI to generate their own Ghibli-inspired creations, often using keywords or prompts like “Ghibli-style landscapes” or “Studio Ghibli character design” to guide the AI’s output.

While these AI tools have opened up new avenues for artistic expression, they also raise significant cybersecurity concerns that cannot be overlooked.

Intellectual Property Issues

One of the primary concerns surrounding AI-generated Ghibli-style content is intellectual property (IP) infringement. Studio Ghibli has built its reputation over decades by creating original works, such as My Neighbor Totoro, Spirited Away, and Princess Mononoke. These films have become deeply embedded in global culture, and their unique art style is instantly recognizable.

When AI systems are used to generate artwork that mimics the Ghibli aesthetic, it raises the question of whether this constitutes a violation of copyright laws. AI can be trained on large datasets that include Ghibli-style imagery, but it’s still debated whether replicating this style is an infringement on the studio’s intellectual property. For instance, is a Ghibli-inspired work a derivative of an existing copyrighted creation, or does it stand as a new, independent piece of art?

As more content creators use AI to produce Ghibliesque works, the lines between homage, imitation, and infringement become increasingly blurry. Additionally, without proper regulation, these AI-generated artworks could be monetized without fair compensation to the creators who originally pioneered the style.

Data Privacy and Security Concerns

The use of AI tools for generating artwork also brings with it potential privacy and security risks. Many AI-driven platforms require users to input data — including personal information, preferences, and even prompts for the artwork they wish to create. This data is often processed through cloud-based systems, which could be vulnerable to cyberattacks.

If hackers gain access to these platforms, they could potentially exploit user data for malicious purposes. For instance, personal information could be used for identity theft or sold on the black market. Furthermore, as AI tools become more widely used, the data they generate could be misused, especially when it comes to content creation that mimics established works. Hackers could use AI-generated art to create counterfeit products or pirated content, which could flood the digital market with fake items, impacting legitimate artists and studios.

Moreover, there’s also the risk of AI systems themselves being compromised or manipulated. Cybercriminals could tamper with AI-generated content, creating fake artwork that might deceive audiences into believing it’s an official release from Ghibli. This could lead to the spread of misinformation and pose challenges to content authenticity and security in the creative industry.

Deepfake and Synthetic Media Threats

One of the more alarming cybersecurity concerns surrounding AI-generated Ghibli-style content is the potential for deepfakes and synthetic media. Deepfake technology has already been used to create hyper-realistic but fake videos, images, and audio, often for malicious purposes. As AI tools advance, it’s conceivable that similar techniques could be used to produce synthetic Ghibli-style animations that mislead audiences into thinking they are authentic Ghibli works.

For example, an AI could create a new, convincing Ghibli-style video that seems like a new release from the studio. If such videos were shared widely on social media, it could cause confusion among fans and even lead to the spread of fake news about future projects from the studio. In extreme cases, these AI-generated works could also be used to defraud viewers or advertisers by promoting fake content as legitimate.

As the technology continues to evolve, it will become increasingly difficult to differentiate between authentic Ghibli content and AI-generated imitations, leading to potential reputational damage for the studio and loss of trust in the creative industry as a whole.

The Need for Regulation and Ethical AI

To address these growing cybersecurity concerns, the implementation of regulations governing AI-generated art is crucial. Artists, creators, and companies like Studio Ghibli need to advocate for stronger copyright protections for digital works generated by AI, as well as better security practices to safeguard users’ data. AI companies themselves must also take responsibility by adopting ethical guidelines to ensure that their tools are not used for malicious or deceptive purposes.

On the ethical front, it’s important that AI-generated art does not replace the human element of creativity. While AI can be a powerful tool for assisting artists, it should not overshadow the originality and human touch that define true artistry. For creators looking to explore AI as a means of generating Ghibli-style content, it’s essential to acknowledge the balance between inspiration and imitation, ensuring that new works do not exploit or infringe upon the intellectual property of the original creators.

Conclusion

As AI technology continues to make strides in the world of art and animation, the generation of Ghibli-inspired content is an exciting frontier. However, it also brings to light critical cybersecurity concerns surrounding intellectual property, data privacy, and the authenticity of digital media. To preserve both the creative integrity of the industry and the security of users, it’s vital that clear ethical guidelines and robust regulations be put in place. In the end, AI should serve as a tool that complements human creativity, rather than replacing it, while ensuring that the digital landscape remains safe and secure for

 

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Kubernetes has become the backbone of modern cloud native applications, and as adoption grows, organizations increasingly seek to consolidate workloads and resources by running multiple tenants within the same Kubernetes infrastructure. These tenants could be internal teams, or departments within a company that share a Kubernetes cluster for development and production. Alternatively, they could be external clients, which are SaaS providers hosting customer workloads on shared infrastructure.

While multitenancy offers cost efficiency and centralized management, it also introduces security and operational challenges. The three considerations users must take into account include:

• How do you ensure strong isolation between tenants?
• How do you manage resources and prevent one tenant from affecting another?
• How do you meet regulatory and compliance requirements?

To address these concerns, practitioners have three primary options for deploying multiple tenants securely on Kubernetes. Here, we will dive into the three options and outline the main considerations for each.

How to Deploy Multiple Tenants on Kubernetes

Namespace-Based Isolation with Network Policies, RBAC and Security Controls

Namespaces are Kubernetes’ built-in mechanism for logical isolation. This approach uses:

• Namespaces: Logical boundaries for separating tenant workloads.
• RBAC (Role-Based Access Control): Restricts tenant access to their namespace and resources.
• Network policies: Controls ingress and egress traffic between pods and namespaces.
• Resource quotas: Limits CPU, memory and other resources to prevent noisy neighbors.

Advantages include cost-effectiveness, as tenants share the cluster infrastructure. What’s more, this approach is simple to manage with centralized operations within a single cluster. Limitations include security risks if misconfigurations occur in RBAC or network policies.

Below is a deeper dive with additional considerations when it comes to the Namespace-Based Isolation approach.

• Isolation Level: Logical isolation using namespaces, RBAC and network policies. Relies on proper configuration.
• Security: Vulnerabilities in shared components (such as API server) or misconfigured policies can lead to breaches.
• Resource Contention: All tenants share cluster resources like nodes and control planes, leading to potential resource contention.
• Scalability: Adding new tenants requires creating a new namespace and applying policies within the existing cluster.
• Cost: Shared cluster resources reduce infrastructure and operational costs.
• Operational Complexity: Single cluster to manage, but requires careful configuration of namespaces, RBAC and network policies.
• Performance Isolation: Tenants share control plane and node resources, potentially affecting performance during resource spikes.
• Management Overhead: Centralized control over tenants within one cluster.

Cluster-Level Isolation

The cluster-level isolation approach assigns each tenant a dedicated Kubernetes cluster, ensuring complete physical or virtual isolation. Tools like Rancher, Google Anthos and AWS EKS simplify managing multiple clusters.

Advantages of this approach include strong isolation, as tenants do not share any cluster components. The levels of security are also high, with no risk of cross-tenant data leakage or resource contention. 

Limitations exist, however, such as high cost: each cluster incurs control plane and node costs. Additional limitations include operational complexity and scalability challenges. Managing, upgrading and monitoring multiple clusters is resource-intensive, and provisioning new clusters can delay tenant onboarding.

Here are more details and considerations with regard to the Cluster-Level Isolation approach.

• Isolation Level: Physical or virtual isolation; no shared cluster components.
• Security: High security, as one tenant’s vulnerabilities do not affect others.
• Resource Contention: Dedicated resources for each tenant ensure no resource interference or contention.
• Scalability: Adding new tenants requires provisioning and managing new clusters, making scalability limited.
• Cost: Separate clusters increase infrastructure, operational and monitoring costs.
• Operational Complexity: Managing multiple clusters adds significant operational overhead and requires specialized tools.
• Performance Isolation: Performance is isolated due to dedicated clusters.
• Management Overhead: Separate control planes and clusters increase management overhead.

Virtual Clusters

Virtual clusters provide tenant-specific control planes within a shared physical cluster. Each tenant gets their virtual Kubernetes environment while sharing the worker nodes and physical infrastructure.

Advantages include strong logical isolation, meaning that tenant workloads operate independently. This approach is also cost efficient, as shared worker nodes reduce infrastructure costs. Another advantage is scalability, as virtual clusters can be provisioned quickly–often in seconds.

Limitations include higher complexity due to infrastructure-level isolation compared to namespace-based isolation, and performance impact if worker nodes are over-committed.

The list below includes additional considerations with the Virtual Clusters approach.

Virtual Clusters

• Isolation Level: Each tenant gets a virtual Kubernetes cluster running inside a shared physical cluster.
• Security: Virtual clusters provide tenant-specific control planes, reducing risk of cross-tenant issues.
• Resource Contention: Shared worker nodes but isolated control planes reduce contention for control-plane-related operations.
• Scalability: New virtual clusters can be provisioned quickly within the existing physical cluster.
• Cost: Shared infrastructure reduces costs compared to physical clusters but higher than namespace isolation.
• Operational Complexity: Centralized management simplifies operations compared to physical clusters, but still involves managing virtual clusters.
• Performance Isolation: Control planes are isolated; however, shared worker nodes affect performance.
• Management Overhead: Simplified management compared to physical clusters but more overhead than namespaces.

What Are the Implications of Leaving Multitenancy Unaddressed?

Implementing a robust multitenancy strategy is critical. Failing to do so can lead to devastating consequences in terms of security, compliance, and operational inefficiencies. Specific issues include:

• Security breaches: Misconfigurations in shared clusters can allow one tenant to access another’s workloads or data.
• Resource contention: A single tenant can monopolize shared resources, degrading performance for others.
• Non-compliance: Inadequate isolation can result in failure to meet regulatory requirements like HIPAA or PCI-DSS.
• Operational inefficiency: Poorly designed multitenancy increases management overhead and risks cluster downtime.

Secure multitenancy in Kubernetes is essential for maintaining the security posture of Kubernetes clusters for compliance and security requirements. Multitenancy consolidates workloads and resources efficiently and saves money with centralized management, but introduces significant security and operational challenges that must be addressed through best practices such as namespace-based isolation or secure deployment of virtual clusters. 

Failing to properly secure multitenancy can lead to compliance violations and security gaps, making implementing robust security measures and isolation techniques paramount for maintaining a secure and efficient multitenant environment in Kubernetes.

# # # 

Author Bio

Ratan Tipirneni is President & CEO at Tigera, where he is responsible for defining strategy, leading execution, and scaling revenues. Ratan is an entrepreneurial executive with extensive experience incubating, building, and scaling software businesses from early stage to hundreds of millions of dollars in revenue. He is a proven leader with a track record of building world-class teams.

 

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Cloud services have revolutionized the way businesses operate, delivering instant access to data, applications and resources at the touch of a mouse. Accessibility through a mix of public cloud services, SaaS applications, private clouds, and on-premises infrastructure has become the norm, helping companies to operate with greater agility, scale faster and reduce IT costs. It should come as no surprise, then, that 90% of organizations are predicted to adopt a hybrid cloud approach by 2027. 

As beneficial as hybrid and multi-cloud environments are, however, they present their own fair share of challenges—particularly when it comes to security, management, and cost control. 

Remote and hybrid workforces—made largely commonplace in the wake of the COVID-19 pandemic —have cast a light on the complexity of multi-cloud adoption, raising important questions about how best to navigate latent connectivity concerns, security and data privacy risks and cloud management strategy, among others. As businesses continue to make this shift, it’s critical to consider the unique nuances of a hybrid deployment and leverage infrastructure and resources that proactively address these challenges while simultaneously delivering the efficiencies and advantages that we’ve come to expect from multi-cloud environments. 

The Hidden Cybersecurity Threats in Hybrid Environments

Cyber threats thrive in complex, multi-cloud environments. With workloads spread across different platforms—each with its own security protocols—gaps are inevitable. In fact, 61% of organizations reported experiencing cloud security incidents in 2024. 

For organizations operating in flexible multi-cloud environments, one security flaw or oversight can quickly overshadow any agility benefits. Misconfigured cloud settings, insufficient encryption, and weak identity and access controls, for example, can introduce significant risks into a hybrid cloud ecosystem. Poorly managed permissions can expose sensitive data to unauthorized users, while unprotected data moving between clouds can become vulnerable if not safeguarded properly. Not to mention gaps in identity management systems, which can lead to account takeovers and data breaches.

Unfortunately, we see these scenarios too often. The dangers of an ill-secured cloud environment, as recently evidenced by a newsworthy ransomware attack, call attention to the need for standardized multi-cloud security protocols to ensure careful and consistent protection of corporate data, whether it sits in a public cloud, private data center, or cloud-based web application or is traversing the gateways of all three. 

Cloud security risks like these are particularly concerning for companies operating in highly regulated environments, where stringent compliance requirements, such as HIPAA (healthcare) and GLBA (banking), demand that organizations implement, review and maintain security controls and procedures to protect sensitive information. With over 80% of data breaches involving data stored in the cloud, the stakes are high. Organizations in these industries must be vigilant in managing their cloud environments to avoid significant compliance penalties as well as legal, financial and reputational consequences.

Balancing Cost Efficiency with Performance in Hybrid Cloud Environments

Although the emergence of the cloud initially led to a flurry of cost-savings as businesses transitioned from hefty on-premise infrastructure investments to predictable OpEx-driven budgets, the growing complexity of hybrid and multi-cloud environments has begun to re-introduce cost challenges. Managing multiple cloud providers and integrating various platforms can lead to unexpected expenses across cloud services, such as underutilized resources, data transfer fees, and disparate pricing models. In 2024 alone, 69% of IT professionals reported budget overruns within their organization’s cloud spending.

To effectively manage these costs, businesses need a solution that simplifies the complexity of connecting and managing diverse cloud environments. This singular approach, by way of a managed connectivity solution, can not only ensure better resource allocation but also reduce the overhead associated with managing multiple cloud and ISP providers. Implementing a centralized, flexible cloud connectivity solution can significantly streamline operations, optimize spending, and pave the way for more secure and scalable cloud architectures.

Optimizing Multi-Cloud Connectivity for Security and Scalability

Think of managed connectivity as the backbone of any secure and effective hybrid or multi-cloud environment. Operating as a private, scalable, and redundant multi-cloud connectivity solution, it acts as a “glue”, providing businesses with a centralized hub through which they can build secure, direct connections to public clouds, SaaS applications, data centers, and office sites. 

Consider these benefits: 

• No need to rely on the slow, costly process of purchasing individual ISP lines to each cloud provider or site. Managed connectivity streamlines the process, enabling faster deployment and cutting down on latency.
• No need to predict the specific capacity requirements for each cloud provider or location. Multi-cloud connectivity means one flexible connection dynamically scales as new cloud services are added, simplifying access and cutting down on unnecessary costs. 
• No internal training or management needed. Managed connectivity solutions are operated by experienced IT service providers who not only handle initial deployment and connect you to the cloud services you need, but take on the responsibility of ISP vendor management, further easing your administrative burden of IT.

Enhancing Business Growth through Effective Cloud Connectivity

Hybrid and multi-cloud environments offer incredible benefits and will continue to do so as the future of digital transformation unfolds. But managing a complex cloud architecture effectively requires not only considering your business as it stands today, but future-proofing your environment in a meaningful way that that simplifies security, reduces complexity, and helps control costs without sacrificing performance. 

To ensure lasting success, businesses operating within hybrid or multi-cloud ecosystems should consider the value managed connectivity solutions can offer to enable more secure, scalable and manageable cloud operations. Relying on a trusted IT partner with the knowledge and expertise to design, implement, and manage a multi-cloud strategy will ultimately reduce headaches and allow businesses to concentrate on core operations and growth. 

About Mike Fuhrman

Mike Fuhrman is CEO of Omega Systems and has more than 30 years of operations, product development and leadership experience in the IT industry. He leverages his deep knowledge of business operations and his passion for technology to foster an environment that helps customers, employees and organizations thrive. Mike is a veteran of the U.S. Air Force and a graduate of The Citadel, where he is a current member of the executive advisory board for the School of Engineering.

 

 

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Global investment in edge computing is expected to rise to close to US$400bn by 2028, meaning this market will have almost doubled in just five years. For sectors where secure, reliable data processing is vital to critical decision-making harnessing the benefits while also managing the inherent risks will be essential, according to a report from Allianz Commercial.

Cloud computing has long been the foundation of modern IT infrastructures, offering businesses flexible, scalable solutions for data storage and processing. Over the past decade, the cloud has enabled organizations to outsource the maintenance and management of IT resources. But as businesses generate ever increasing volumes of data, largely driven by the growth of the Internet of Things (IoT), cloud infrastructures are struggling to keep pace.

Edge computing was developed as a solution to these challenges. By processing data at or near the source, it reduces latency, alleviates bandwidth constraints, and enhances data security. Edge computing is not a replacement for cloud computing; rather, it is a complementary solution that decentralizes some computing tasks. In this hybrid model, edge devices are responsible for preliminary data processing and analysis, while the cloud remains the primary location for long-term storage, advanced analytics, and larger-scale data aggregation.

Edge computing is set to be a game-changer in the world of data processing, offering significant benefits in terms of performance, efficiency, and real-time capabilities. The adoption of edge computing presents new opportunities for industries to enhance customer experiences, improve risk management, and offer more personalized products. However, the transition towards decentralized data processing also presents a range of new challenges, particularly in the context of cyber security.

Competitive advantages

For businesses in sectors such as manufacturing, healthcare, retail, and finance, the ability to process data locally provides a competitive advantage, according to the report.

In the manufacturing sector, edge computing facilitates real-time monitoring of production lines, enabling operators to respond rapidly to potential issues. This results in reduced downtime, increased efficiency and, ultimately, cost savings. The capacity to act on real-time data is of particular importance in industries where even a few seconds of delay can result in significant losses.

In the healthcare sector, edge computing is transforming the way patients are monitored in real-time and how diagnostics are conducted. The generation of data from wearable devices and smart medical equipment can be processed ‘at the edge’, providing healthcare providers with instant feedback and improving patient outcomes. With telemedicine, real-time processing of health metrics enables doctors to make prompt decisions, which is crucial in emergency situations.

Edge computing is also proving beneficial for retailers and financial institutions. In the retail sector, edge computing is facilitating the delivery of personalized customer experiences through the processing of data at the point of sale, enabling the provision of real-time product recommendations and dynamic pricing adjustments. In financial services, edge computing can improve fraud detection and speed up transaction processing, enhancing both security and customer satisfaction. Among the specific benefits for the insurance industry and its customers are faster claims processing, more accurate pricing, and enhanced customer engagement.

Navigating cyber security risks and liability challenges

Despite its advantages, edge computing introduces significant cyber security risks, the report also notes. Its decentralized nature increases the attack surface, potentially making devices more vulnerable to breaches, data theft, and disruptions. Meanwhile, liability determination in edge environments is particularly complex. Responsibility for breaches often spans device manufacturers, software providers, and users. 

Edge computing frequently involves processing data across multiple geographic regions, each with its own set of regulatory requirements. Meeting these diverse regulations, such as GDPR (General Data Protection Regulation) in Europe or HIPAA (Health Insurance Portability and Accountability Act) in the US, can be complex. Organizations must develop comprehensive data governance strategies to guarantee that data processed is protected in accordance with local laws.

Edge computing is unlocking unprecedented opportunities across industries, empowering organizations to process data closer to the source, drive real-time decision-making, and create more efficient, secure, and personalized experiences for customers, ultimately transforming the way businesses operate and innovate.

To learn more, download Allianz Commercial’s edge computing report here.

Rishi Baviskar is Global Head of Cyber Risk Consulting at global insurer Allianz Commercial, based in London.

Mehdi Meyer is a Cyber Risk Consultant at global insurer Allianz Commercial, based in Paris.

 

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While organizations have spent years fortifying human identity security, a critical vulnerability has been growing in our digital infrastructure. For every human identity in today’s enterprise, there are now approximately 50 machine identities operating in the shadows. These non-human identities (NHIs) – from API keys to service accounts, from certificates to automation bots – have become a major security weakness that many organizations overlook.

The string of high-profile breaches, including incidents at Okta, Cloudflare, and the Internet Archive, all share a common thread: compromised machine identities. Yet many organizations continue to treat NHI security as an afterthought.

Industry research reveals the scope of this challenge: 46% of organizations know they have had non-human accounts or credentials compromised, with an additional 26% suspecting they might have experienced such compromises. Even more concerning, 66% of enterprises have experienced successful attacks resulting from compromised machine identities. These aren’t just isolated incidents – 25% of organizations have faced multiple such attacks.

The problem is threefold:

• First, we’re dealing with an unprecedented scale. Cloud transformation and AI have created an explosion of machine-to-machine communications. Every containerized application, every microservice, and every automated workflow needs its own identity. As enterprises accelerate their AI adoption and deploy more Enterprise Agents, this proliferation of machine identities and secrets will only accelerate. These identities aren’t just growing linearly – they’re multiplying exponentially. And all these identities need to access each other on a regular basis for applications to run.
• Second, traditional security tools weren’t built for this reality. While organizations have invested heavily in human IAM solutions, many lack the fundamental capabilities needed for NHI management: detection, lifecycle management, and granular access control. Current tools often fall short in securing modern infrastructure.
• Third, and perhaps most critically, there’s a dangerous disconnect between security teams and DevOps. In the rush to accelerate development cycles, machine identities are often created ad-hoc, with default permissions that violate least-privilege principles. This creates significant security gaps across cloud environments.

The implications are clear. With 57% of NHI security incidents requiring board-level attention, this isn’t just a technical problem anymore – it’s a business-critical issue that demands immediate attention.

Three critical actions can help organizations address these challenges:

1. Implement continuous discovery and inventory of machine identities. Comprehensive visibility is essential, including understanding relationships, permissions, and usage patterns across the environment.
2. Adopt a unified approach to secrets management and machine identity security. Treating these as integrated rather than separate domains reduces complexity and improves visibility.
3. Embrace “secretless” architectures and ephemeral credentials where possible. Modern security architectures provide Zero Standing Privileges (ZSP) with dynamic, short-lived credentials and also support emerging “secretless” frameworks like SPIFEE that limit potential compromise impact.

Machine identity Management has become the new security frontier. As AI and autonomous systems continue to evolve, the ratio of machine-to-human identities will only increase. Organizations that fail to adapt their security strategies accordingly face significant risks.

The data speaks for itself – secrets and machine identity security demands immediate attention. With boards already focused on this issue, security leaders must act now to protect their organizations’ future.

About: Oded Hareven is the CEO and Co-founder of Akeyless Security, the world’s first unified secrets and machine identity platform.

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