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Compliance & Tamper-Evident Audit

"Govern, Secure and Control every AI Action"

Overview

For regulated AI, “we think nothing was changed” isn’t an answer an auditor accepts. DeepintShield writes every runtime and administrative decision to a hash-chained audit log, where deleting, modifying, or reordering a record breaks the chain and is detectable at audit time – the difference between asserting integrity and proving it. Each decision carries cross-walk references to the frameworks your team reports against, and the platform’s AI Bill of Materials is sealed with a verifiable signature. Because everything runs self-hosted with no data egress, self-hosted deployment removes data-residency concerns rather than adding a review cycle.

Challenges

1
New AI-specific frameworks
OWASP Agentic ASI Top 10 and the EU AI Act address risks traditional security tooling doesn’t.
2
No verifiable AI record
Teams can’t prove what agents and models were allowed to do, or when.
3
Agent supply-chain risk
Unverified tools and MCP servers, with no SBOM equivalent for agents.
4
Residency exposure
DPDP/GDPR risk when AI traffic leaves your environment for evaluation.
5
Compliance as a manual project
Reporting treated as a recurring manual effort rather than a built-in export.

Solutions

1
1. Standards-mapped policy packs
OWASP LLM Top 10 (2025), OWASP Agentic ASI Top 10 (2026), and AI-TRiSM runtime governance, with coverage badges in the UI.
2
Hash-chained tamper-evident audit
Every decision, with each record carrying NIST AI RMF, ISO/IEC 42001, EU AI Act, and MITRE ATLAS cross-walk references.
3
Signed CycloneDX AIBOM
An Ed25519-signed AI Bill of Materials enumerating every tool with its contract fingerprint and pin status - a verifiable SBOM analog for agents (OWASP ASI04).
4
Self-hosted, no data egress
Data never leaves your VPC and follows all security compliance.
5
Evidence exports
CSV/JSON exports for audit logs and guardrail findings turn compliance reporting into an export, not a quarterly project.
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