Attack demonstrates how LLM agents can combine known exploitation techniques with real-time reasoning to automate complex, multi-stage intrusions.
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Agentic AI Security: Wrong Context, Wrong Decisions at Machine Speed
Context is the central plank of AI in general, and agentic AI in particular. If an AI system doesn’t have the correct context, it cannot make the correct decisions.
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Security of 100 AI Agents Tested and Ranked – What You Need to Know
The AI Risk Quadrant evaluates AI agents based on three factors: how vulnerable they are to compromise, the potential impact of a breach, and the strength of their security defenses.
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Raising the Cybersecurity Stakes: Ante up for the Agentic Era
CISOs are now facing machine-speed attacks and asking, “How do I agent?” The industry must provide remediation at scale.
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Why Cybersecurity Must Rethink Defense in the Age of Autonomous Agents
From autonomous code generation to decision-making systems that initiate actions without human intervention, the industry is entering a new phase.
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Rethinking Security for Agentic AI
When software can think and act on its own, security strategies must shift from static policy enforcement to real-time behavioral governance.
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Microsoft Highlights Security Risks Introduced by New Agentic AI Feature
Without proper security controls, AI agents could perform malicious actions, such as data exfiltration and malware installation.
The post Microsoft Highlights Security Risks Introduced by New Agentic AI Feature appeared first on SecurityWeek.
Secure.com Raises $4.5 Million for Agentic Security
The cybersecurity company has launched Digital Security Teammate (DST), AI agents that investigate, triage, and escalate incidents when needed.
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Anthropic Says Claude AI Powered 90% of Chinese Espionage Campaign
A state-sponsored threat actor manipulated Claude Code to execute cyberattacks on roughly 30 organizations worldwide.
The post Anthropic Says Claude AI Powered 90% of Chinese Espionage Campaign appeared first on SecurityWeek.
Follow Pragmatic Interventions to Keep Agentic AI in Check
Agentic AI speeds operations, but requires clear goals, least privilege, auditability, red‑teaming, and human oversight to manage opacity, misalignment, and misuse.
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