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AgentArmor v1.3.1

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@github-actions github-actions released this 29 Jun 20:53
v1.3.1
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Learn about vigilant mode.

AgentArmor v1.3.1 — Detection stack overhaul

Release focused on detection accuracy, reproducibility, and enterprise-ready policy hooks.

Added

  • Echo-aware scoring — L1/L2 echo stripping; tiered compliance assertions (Sprint 1)
  • ONNX/FAISS hardening — tokenizer bundles, index versioning, honest fallback (Sprint 2)
  • Regression harness — 70 fixtures, agentarmor eval detection, baseline JSON (Sprint 2)
  • Unified judge — JudgeService with legacy config migration (Sprint 3)
  • Rule catalog — single YAML source for L1/L2/L4 (Sprint 3)
  • Per-probe thresholds + meta calibration scaffold (Sprint 4)
  • Detector plugins — SDK, marketplace --trust, LLM-rubric assertions (Sprint 5)
  • Webscan partial-stream gate — completeness-aware WARN/FAIL (Sprint 5)
  • Policy engine, evidence spans, version stamps, active-learning queue (P5)

Fixed

  • Meta scorer hard-signal floor for clear L1/L4 hits
  • Webscan partial streams no longer blanket-WARN when hard outcomes are present

Windows (recommended)

Download AgentArmor_1.3.1_x64-setup.exe or AgentArmor_1.3.1_x64_en-US.msi from the assets below.

  1. Run the installer
  2. Open AgentArmor — no Python install required
  3. Choose a scan profile → run scan → review grouped findings → download reports
Assets 4
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