
Here is the link to our review for the GL.iNet router and others: https://cloudseclabs.com/most-insecure-soho-routers-and-what-to-upgrade-to-in-2026/

Here is the link to our review for the GL.iNet router and others: https://cloudseclabs.com/most-insecure-soho-routers-and-what-to-upgrade-to-in-2026/
Anthropic is broadening access to its Project Glasswing program, adding approximately 150 organizations in 15 countries, the company announced Tuesday, as its restricted Claude Mythos Preview model has already surfaced more than 10,000 high- or critical-severity software vulnerabilities since the program launched in early April.
The expansion follows an initial cohort of roughly 50 partners that were announced when Anthropic first unveiled the initiative. Those members included technology companies such as Amazon Web Services, Cisco, CrowdStrike, Google, JPMorganChase, the Linux Foundation, Microsoft, NVIDIA, and Palo Alto Networks, among others.
According to the announcement, the new group covers sectors that were underrepresented in the first wave, including power, water, healthcare, communications, and hardware. Many of the new partners are vendors whose codebases underpin critical infrastructure systems.
The company did not give any further details on what companies or organizations were part of the new cohort.
The scale of what Mythos Preview has already found is drawing attention across the security industry. Cloudflare identified 2,000 bugs across its critical-path systems, including 400 rated high or critical, with a false-positive rate the company described as better than that of human testers. Mozilla found and fixed 271 vulnerabilities in Firefox 150 while testing the model, more than 10 times the number found in a previous Firefox version using an earlier Anthropic model. Several other partners reported that their rates of bug discovery increased more than tenfold after deploying the model.
Anthropic also used Mythos to scan more than 1,000 open-source projects, flagging 23,019 potential vulnerabilities, 6,202 of them estimated as high or critical. Of 1,752 high- or critical-rated findings independently reviewed, over 90% were confirmed as valid.
The findings have shifted what Anthropic describes as the central issue in cybersecurity. Despite the enhanced ability to discover flaws, the company admits there are challenges with verifying, disclosing, and patching them before attackers can take advantage.
“The bottleneck in fixing bugs like these is the human capacity to triage, report, and design and deploy patches for them,” the company said in its blog post.
That bottleneck has broader implications. A joint report from the Cloud Security Alliance, the SANS Institute, and OWASP concluded that organizations are “likely to be overwhelmed” in the near term by threat actors using AI to find and exploit vulnerabilities faster than defenders can patch them.
Anthropic has said it will not release Mythos-class models to the general public, citing the absence of safeguards sufficient to prevent serious misuse. In the interim, it has released Claude Security, a product using its publicly available Claude Opus 4.8 model that has been used to patch more than 2,100 vulnerabilities in three weeks.
The program’s expansion comes as the Trump administration’s AI security efforts remain unsettled. A highly anticipated executive order addressing AI cybersecurity and frontier model oversight was pulled hours before a planned signing in May. The draft order had proposed a voluntary framework requiring AI developers to submit advanced models to a government review up to 90 days before public release, with the National Security Agency holding final say over which systems qualified as “covered frontier models.”
It was not immediately clear when the White House signing might be rescheduled.
The post Anthropic expanding access to Project Glasswing appeared first on CyberScoop.
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https://ift.tt/ARnJZBy exploitation timelines are rapidly shrinking, and they are not going to stop shrinking. Vulnerabilities are being discovered, reproduced, and weaponized faster than ever in the history of enterprise security. As a result, the window between a vulnerability being disclosed and indiscriminate exploitation observed across the internet is now measured in hours, not days.
The industry’s
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A new Mini Shai-Hulud supply chain attack campaign, codenamed Miasma, has compromised @redhat-cloud-services packages to steal credentials and secrets from developer machines and deliver a self-propagating worm.
“This is effectively a Mini Shai-Hulud campaign: it uses the same core tactics of install-time execution, credential harvesting, CI/CD targeting, encrypted exfiltration, and potential
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Monday hit like a cron job with anger issues.
A busted auth path here, a repo-side faceplant there, some “patched-ish” thing already getting chewed on in the wild, and then the usual bonus round: poisoned dev tools, sketchy forum chatter, phishing kits pretending to be productivity, and AI lowering the bar for people who already thought ‘curl | sh’ had a personality.
The vibe is simple: old
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As cloud infrastructure becomes increasingly integral to business operations, organizations face a rapidly evolving threat landscape dominated by AI-powered attacks and sophisticated supply chain vulnerabilities. The shift toward hybrid and multi-cloud environments has created new security gaps, forcing enterprises to rethink traditional perimeter-based defenses in favor of zero-trust architectures and continuous verification protocols. Identity and access management has emerged as the critical battleground, with stolen credentials and compromised credentials remaining the leading vectors for unauthorized cloud access. While advancements in encryption, behavioral analytics, and automated threat response have strengthened defenses, the shortage of skilled security professionals continues to leave many organizations under-resourced and reactive rather than proactive. Looking ahead, success in cloud security will require a combination of emerging technologies, cultural shifts toward security-first mindsets, and strategic investment in both tools and talent.
As more organizations integrate vibe coding and AI-assisted coding into their application development processes, it’s important to remember to put security first.
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Why every company needs a clear, enforceable AI policy — now.
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Organizations increasingly use agents to automate mundane tasks and address an overwhelming amount of sensitive data. However, adoption requires strict security strategies that keep humans in the loop for now.
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Securing AI systems represents cybersecurity’s next frontier, creating specialized career paths as organizations grapple with novel vulnerabilities, regulatory requirements, and cross-functional demands.
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