As the definition of machine identities broadens, AI agents working on behalf of the user and gaining access to various services blurs the lines of non-human identities even more.
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As the definition of machine identities broadens, AI agents working on behalf of the user and gaining access to various services blurs the lines of non-human identities even more.
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Though rudimentary and largely non-functional, the wryly named "Skynet" binary could be a harbinger of things to come on the malware front.
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The servers that connect AI with real-world data are occasionally wide-open channels for cyberattacks.
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Malicious actors are exploiting AI-fabricated software components — presenting a major challenge for securing software supply chains.
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IBM integrates its governance and AI security tools to address the risks associated with the AI adoption boom.
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An AI security researcher has developed a proof of concept that uses subtle, seemingly benign prompts to get GPT and Gemini to generate inappropriate content.
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In a market where security budgets flatten while threats accelerate, improving analyst throughput is fiscal stewardship.
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Security teams are no longer just the last line of defense — they are the foundation for responsible AI adoption.
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A vulnerability in the popular Python-based tool for building AI agents and workflows is under active exploitation, allowing for full system compromise, DDoS attacks, and potential loss or theft of sensitive data
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Agentic AI was everywhere at Gartner’s Security & Risk Management Summit in Washington, DC, this year, as the AI security product engine chugs ahead at full speed.
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