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AI Agents Compress Exploit Discovery to Minutes After Rumour

AI Agents Compress Exploit Discovery to Minutes After Rumour

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 8.2 Schneier on Security

AI agents can now discover and develop exploits from minimal information — even an unverified rumour of a vulnerability — dramatically compressing the window between disclosure and active exploitation. This fundamentally breaks existing open-source embargo and coordinated vulnerability disclosure practices, which assume days or weeks of secrecy. The security community must rethink disclosure workflows and invest in defensive automation that matches attacker speed.

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Prompt Injection Flaws in Salesforce and Microsoft AI

ATLAS OWASP HIGH Significant risk · Prioritise patching ▲ 8.2 Dark Reading

Prompt injection vulnerabilities in Salesforce Agentforce and Microsoft Copilot were patched after researchers demonstrated that external attackers could exploit them to exfiltrate sensitive user data. The flaws highlight systemic risks in enterprise AI agent deployments, where insufficient input sanitisation allows malicious content to hijack agent behaviour. Both vendors have issued patches, but the incidents underscore the growing attack surface introduced by agentic AI systems operating with elevated privileges.

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