EnforceAuth

EnforceAuth is the AI Security Fabric — a unified authorization platform that governs what AI agents can do, not just what they say.

Every major enterprise is racing to deploy AI agents that read databases, execute transactions, move money, and make autonomous decisions. But there's a critical gap: the entire industry spent billions teaching AI to be polite (AI safety), while nobody built the security layer that controls what agents are actually allowed to do (AI security). Traditional identity and access management was designed for humans clicking through web apps — not autonomous systems executing thousands of actions per second with zero human oversight. Meanwhile, regulations like the EU AI Act, DORA, and NIST AI RMF now mandate governance for autonomous systems, and enterprises have no tooling to comply.

EnforceAuth provides fine-grained authorization policies for both human and non-human identities — AI agents, LLMs, copilots, and microservices — enforced through a unified policy engine that is OPA-native with Cedar (AWS) and Zanzibar (Google) compatibility. The platform covers four enterprise layers: GenAI/agentic AI, applications, infrastructure, and data — all from a single control plane with sub-50ms decision latency.

Key capabilities include: AI agent authorization with chain-of-custody verification across the full reasoning path (user input → model reasoning → tool access → output); prompt injection defense and context-aware data loss prevention; real-time decision logging with audit trails and regulatory mapping for EU AI Act, DORA, and NIST AI RMF; and deployment flexibility (SaaS + on-prem) for regulated industries.

Consumption-based pricing — priced per policy decision, not per user or seat. Revenue scales directly with customer AI adoption. Free tier (1M decisions/month) drives developer adoption; enterprise contracts are annual. Additional revenue through our PAC.labs partner channel for implementation and migration services.

Product went GA on February 4, 2026. Currently in active enterprise proof-of-concept engagements with Fortune 500 financial institutions and global banks, with traction across 7 of the top 100 global banks. Our Styra migration toolkit provides a direct onramp for enterprise customers orphaned by Apple's acqui-hire of Styra's founding team in August 2025.

Our GA announcement generated 50,000+ LinkedIn impressions, Associated Press coverage, and 90,000+ YouTube views. The platform is the only product aligned with Forrester's AEGIS framework for AI governance.

We sit at the logic level — governing the intent and authority of AI agents — while competitors secure the pipe (AI gateways) or the key (identity providers). We are the only platform that unifies authorization + AI governance in a single product, with native MCP support and integrated guardrails at the decision layer. We have 4 patents (1 pending, 3 filing) covering our Decision Telemetry Engine and Chain of Custody verification.

Our founding team includes deep domain expertise across authorization, Zero Trust architecture, and enterprise go-to-market:

The AI cybersecurity market is growing from $34B (2025) to $235B by 2032 at 31.7% CAGR. Our addressable TAM across AI governance, AI guardrails, policy-as-code, and agentic AI governance: $10.78B in 2026, expanding to $66.4B by 2030 (+520% growth). Four converging forces — the AI agent explosion, regulatory mandates, the Styra vacuum, and rapid market formation — create a once-in-a-decade platform opportunity.