Evals & Reliability
All things Evals & Reliability on Edge.
Building Interoperable Standards for Advanced AI Systems
OpenAI is co-founding the Appia Foundation to translate high-level AI safety frameworks into modular, open technical specifications that enable consistent, third-party evaluation across the global AI supply chain.
Debugging Production AI Agents via Record and Replay
Stop chasing bitwise determinism in LLMs. Instead, implement a record-and-replay architecture to capture agent state transitions, enabling deterministic debugging and regression testing of non-deterministic production failures.
The Promptware Kill Chain: Understanding AI Malware
Promptware exploits the lack of separation between instructions and data in LLMs to execute a multi-stage attack, requiring a zero-trust approach where AI agents are treated as hostile runtimes.
IBM TechnologyStress-Testing AI Agents with Simulated Digital Environments
Patronus AI is using 'digital world models' to simulate complex environments, allowing developers to stress-test autonomous agents through reinforcement learning and automated verification.
Red-Teaming and Security for Agentic AI Systems
AI security requires a shift from traditional cybersecurity to treating LLMs as untrusted, alien intelligence. As agents gain autonomy, automated red-teaming tools like Gray Swan's 'Shade' are becoming essential for identifying vulnerabilities that human testers miss.
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