safety security
The Safety Harness Learned From Its Own Failures
SHE turns failed agent trajectories into targeted revisions of prompts, rules, memory and tool policy.
Summary
SHE turns failed agent trajectories into targeted revisions of prompts, rules, memory and tool policy.
Safety Harness Evolution divides an agent harness into four accountable artifacts, diagnoses rollout failures and applies localized boundary changes only after safety-versus-utility checks. On Agent-SafetyBench, the authors report a 3.1-fold reduction in attack success compared with a static SafeHarness, alongside improved benign utility. They also report transfer to held-out risks and other agent models. The evidence is benchmark-based preprint work, not a production security guarantee.
Why it matters
SHE turns failed agent trajectories into targeted revisions of prompts, rules, memory and tool policy.
Limits and context
- Safety Harness Evolution divides an agent harness into four accountable artifacts, diagnoses rollout failures and applies localized boundary changes only after safety-versus-utility checks.
- The evidence is benchmark-based preprint work, not a production security guarantee.
Key claims
SHE turns failed agent trajectories into targeted revisions of prompts, rules, memory and tool policy.
Qualification: Safety Harness Evolution divides an agent harness into four accountable artifacts, diagnoses rollout failures and applies localized boundary changes only after safety-versus-utility checks.
Evidence: source-2026-08-11-004
Sources
- arXiv preprint 2608.09885arXiv · primary research
Corrections
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