OpenAI · February 25, 2025

Deep research System Card

Why it matters

OpenAI’s system card for deep research covers prompt injection, privacy, code execution, and external red teaming prior to release.

My takeaway: Use the system card to design adversarial cases with attacker-controlled webpages, files, connector results, and quoted instructions. Verify that the agent preserves the user’s goal, does not disclose private context, requests approval for consequential actions, and records enough retrieval and tool evidence to reproduce every failure.
Keep exploring

More curated notes connected through Model Evaluation and Prompt Injection.

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OpenAI says preliminary evidence that Astra may meet its Critical cybersecurity threshold led it to pause frontier reinforcement-learning work for two weeks and keep its largest planned run on hold. New safeguards include stronger workload and network isolation, continuous boundary testing, token-level monitoring that escalates suspicious tool activity, and broader alignment checks for deception, reward hacking, and unauthorized access.

OWASP GenAI Security Project · guide

OWASP Top 10 for Agentic Applications for 2026

OWASP's community guide organizes agentic-system risk into ten categories, including goal hijacking, tool misuse, identity and privilege abuse, memory poisoning, insecure inter-agent communication, cascading failures, and rogue-agent behavior. It provides a shared taxonomy and mitigation starting point rather than a certification checklist or evidence that a deployed system is secure.

OpenAI News · framework

A blueprint for democratic governance of frontier AI

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