Third-party cyber evaluations involving OpenAI models
openai.com·13h ago
Cloud & Infrastructure
The New Stack·Jun 14·5 min read
What your logs can’t tell you when an AI agent acts alone
TL;DR
Logs have traditionally been underutilized, often ignored until issues arise. The article highlights the need for better log analysis tools that can provide actionable insights.
✦ Why It Matters
Engineers can enhance system reliability by adopting structured logging and advanced analysis tools for proactive issue resolution.
Key Takeaways
- Ensure logs capture detailed context around actions taken by both humans and AI.
- Implement immutable and structured logging for better queryability and trust.
- Make audit logs easily accessible within your product to enhance user experience.
- Regularly review and update logging practices to meet evolving regulatory standards.
How It Works
Effective logging now requires capturing not just the action taken, but also the identity of the actor, whether human or AI, and the authorization chain that enabled the action. This comprehensive approach allows organizations to reconstruct events accurately during security incidents.