Against the backdrop of the artificial intelligence surge, most African organizations have some form of cybersecurity awareness training but fail to test frequently and don’t trust the results.
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Against the backdrop of the artificial intelligence surge, most African organizations have some form of cybersecurity awareness training but fail to test frequently and don’t trust the results.
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Authentication in MCP — the backbone of agentic AI — is optional, and nobody’s implementing it. Instead, they’re allowing any passing attackers full control of their servers.
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Security often lags behind innovation. The path forward requires striking a balance.
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After years of hanging out in the wild, confidential computing is getting closer to an AI model near you.
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While many organizations are eagerly integrating AI into their workflows and cybersecurity practices, some remain undecided and even concerned about potential drawbacks of AI deployment.
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Experts recommend enhanced AI literacy, training around the ethics of using AI, and verification protocols to maintain credibility in an increasingly AI-influenced courtroom.
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McDonald’s hiring platform was using its original default credentials and inadvertently exposed information belonging to approximately 64 million job applicants.
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A prompt-injection vulnerability in the AI assistant allows attackers to create messages that appear to be legitimate Google Security alerts but instead can be used to target users across various Google products with vishing and phishing.
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Critical security vulnerabilities affect different parts of the Model Context Protocol (MCP) ecosystem, which many organizations are rapidly adopting in order to integrate AI models with external data sources.
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