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Traceable compliance evidence from existing scanners, plus a policy-governed AI agent runtime

Agnostic Security positions the Agnostic Compliance Suite as a tool for auditors rather than a replacement for them. It takes a no-rip-and-replace approach to vulnerability data, with fourteen input adapters covering scanners including Tenable, Qualys, and AppCheck, code and dependency tools such as Snyk, Semgrep, Checkmarx, Veracode, and Trivy, and cloud posture sources including AWS Security Hub, Microsoft Defender for Cloud, and Google Security Command Center. Findings are normalized from standard formats, deduplicated across overlapping tools, and mapped to compliance controls, with each one traceable to a specific file, line, and code snippet. Coverage spans 30 frameworks across seven packs in ten languages, and the evidence chain is tamper-evident, which is the part that matters when an auditor asks how a control was demonstrated.

Yashigani is the company's AI-side product, a runtime that wraps each agent in a uniform security sidecar carrying its own identity, governed in both directions, so every action is evaluated against policy before it executes rather than reviewed afterward. Version 4.1.2 added a first-party interface with a visual agent builder and workflow composer, multi-platform GPU support across NVIDIA, AMD, Apple Silicon, and Intel, and per-agent usage metering with enforceable caps. A 5.0 beta moves inference onto KUROSHIO, the company's own engine, for offline-capable operation without third-party runtime dependencies. The code is published on GitHub, consistent with the company's stated preference for inspectable evidence over black boxes.

Market Segments:

ComplianceVulnerability ManagementAI Security

Categories:

Compliance AutomationVulnerability ManagementAI GuardrailsAgent Security