Runtime Governance for AI Agents

ABS Core is a runtime enforcement layer that sits between your AI agent and the tools it wants to execute. Before any database write, API call, or file operation happens, ABS Core evaluates the request against your compliance policies and creates cryptographic proof of the decision.

Think of it as a firewall for AI agents—except instead of filtering network packets, we're filtering LLM tool invocations.

Choose Your Track

Business Value: Why ABS Core?

Enterprises need to trust AI agents before deploying them in critical operations. ABS Core provides the technical foundation for that trust.

The Value Pillars

• Runtime Enforcement: We don't just observe what happened; we prevent malicious or non-compliant actions before they happen.
• Compliance-as-Code: Enforce internal and regulatory policies (like LGPD, HIPAA, SOC2) at the infrastructure layer.
• Cryptographic Audit Trail: Every decision is signed and logged in a SHA-256 hash chain, providing a tamper-proof forensic trail.
• Self-Hosted First: Deploy on your own infrastructure, ensuring data never leaves your network and avoiding vendor lock-in.

Investor Note: ABS Core's defensible differentiation lies in its pre-execution enforcement model combined with a cryptographic audit trail. This is critical for regulated industries (fintech, healthcare) where agent actions have significant legal and financial consequences.

Technical Architecture: The Octagon

The system is a modular monorepo following the Octagon design pattern.

Total Latency: The full governance loop adds ~25ms median overhead (~1-3% of a typical LLM call).

Quick Start: 30 Seconds to Governance

Use the free scanner or deploy the full engine via Docker.

Free Security Scan (No Installation)

npx @oconnectortechnology/abs-cli scan

Production Deployment (Docker)

# Clone, configure .env, and deploy
docker compose up -d
curl http://localhost:3000/health

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