Posts tagged LLM Security

An 80-Run Benchmark of AI Login Agents

Eight models ran the same five-user login task 10 times. We measured authentication success, cost, latency, tokens, and execution strategy.

Kimi K2.6 vs GPT-5.5 in Authorization Testing

What two real authorization traces showed us about persistence, restraint, and the evidence gates Tahr needs around both.

Insight: Model choice changes how hard an agent pushes before evidence promotion.

Creativity and verification don't live in the same agent

Most AI security systems constrain every attack agent. We take a different approach: let some agents explore widely, then rely on a downstream verifier to keep only what is real.

Insight: Exploration and verification work better when different agents own each job.