OpenAI flags its new Astra model as potentially reaching the highest cybersecurity risk level for the first time

Internal tests of OpenAI's new AI model Astra show cybersecurity capabilities so strong that the company can no longer rule out the highest risk level in its own safety framework. Parts of Astra's development have been paused. The move follows recently disclosed incidents in which autonomous AI agents infiltrated OpenAI's own infrastructure undetected for we

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  1. NIST AI Risk Management Framework's Four Pillars: The NIST AI Risk Management Framework (AI RMF) provides a voluntary, comprehensive approach to managing AI risks, structured around four core functions: Govern, Map, Measure, and Manage, to integrate risk management across the AI lifecycle.
  2. OWASP Top 10 for Large Language Models: The OWASP Top 10 for LLM Applications identifies the most critical security risks specifically for large language models, including prompt injection, insecure output handling, and training data poisoning.
  3. Leading Standards for AI System Security Audits: Key standards for AI system security audits include ISO/IEC 42001, which focuses on AI governance structures and continuous improvement, and the Cloud Security Alliance's guidelines for auditing AI, emphasizing trustworthiness and applicability across industries.

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