Agentic Security Harness v1.1.0
Agentic Security Harness v1.1.0
Agentic Security Harness v1.1.0 adds the first shipped provider-neutral Agent Host
workflow contour while preserving the stable trace schema 1.0 and corpus 1.0.0
contracts.
Highlights
- Canonical, authority-free Agent Host recordings with per-event and whole-record
commitments. - Deterministic evaluation of all 24 frozen corpus patterns into
pass,finding,
inconclusive, oradapter_error. - An explicit privacy-minimized Python instrumentation API for an owned workflow.
ash agent-host-quickstart, producing 48 protected/vulnerable cases in one atomic,
content-bound bundle.- Shared validation, closed JSON schemas, adversarial topology/tamper tests, and
installed-wheel Linux Python 3.11-3.13 coverage with Windows compatibility. - Hash-locked TestPyPI/PyPI smoke installs that verify the exact published universal
wheel digest without resolving package dependencies from TestPyPI.
Start here
Install from PyPI:
python -m pip install agentic-security-harness==1.1.0
ash agent-host-quickstart --out reports/agent-host-quickstart
ash validate reports/agent-host-quickstartThe built-in workflow is deterministic, synthetic, and no-network. Public evidence
contains safe metadata and digest references rather than raw prompts, tool arguments,
tool results, credentials, endpoints, exception text, or local paths.
Evidence and limitations
The release workflow reproducibly builds and smoke-installs the wheel and sdist, produces
SHA-256 checksums and an exact-subject CycloneDX 1.6 SBOM, and creates independently
verified GitHub/Sigstore attestations before package-index promotion.
This release does not dynamically load or execute an arbitrary external agent host. It
does not add native OpenAI, Anthropic, or Google SDK collectors, authenticate an evidence
producer, certify a deployed system, enforce policy, or claim complete protection. A
clean result is not a production safety certification.
Independent standards validation and independent maintainer review remain unclaimed.
Full changes: CHANGELOG.md. Release procedure:
release-checklist.md and
release-to-pypi.md.