About Shrike

Governance Should Be Independent.

AI agents are making decisions at machine speed. Governance needs to operate at the same speed. Shrike screens every interaction against your policies — before data leaves, before actions execute, before risk becomes incident. Deterministic pattern checks answer in under 15ms; deep semantic analysis follows in seconds.

Our Mission

Independent trust layer for AI. Not a feature inside your model provider. Works across every model, every protocol, every execution surface.

9-layer cognitive detectionNVIDIA InceptionNIST CAISI

Your Policies

You define what gets allowed, blocked, or escalated for human review.

Your Approval Workflows

Human-in-the-loop controls for high-risk AI actions across your organization.

Your Compliance

SOC 2, GDPR, HIPAA, EU AI Act, and NIST alignment built in.

How We Build

Shrike is shaped by real incidents — the ones where governance was an afterthought until it was too late. Every layer, every pattern, every guardrail traces back to a public failure we studied and refused to let happen inside our customers.

Governance at Machine Speed

Deterministic policy checks in under 15ms on every interaction; deeper semantic analysis in seconds. Not frameworks and PDFs — runtime enforcement that executes before data leaves.

Independence by Design

Governance must be independent of the systems it governs. Shrike runs outside the AI model's reach via hardware-isolated enforcement.

Built for Builders

Open-source SDKs and MCP tools. Drop-in integration. No workflow changes. Security teams get visibility without slowing engineering.

Credentials & Recognition

Industry validation from the organizations that define AI governance standards.

NVIDIA Inception

NVIDIA Inception Member

Active member of NVIDIA's startup accelerator for AI-driven companies.

NIST CAISI Contributor

Comment NIST-2025-0035-0074 — Contributing to national AI safety and governance standards.

View on regulations.gov →

W3C WebMCP Security Proposal

Submitted to the Web Machine Learning Community Group for MCP security standardization.

Six Areas of Original Research

Cognitive detection, hardware-isolated enforcement, self-approval prevention, session-aware correlation, security knowledge graph, and runtime-neutral threat adaptation.

OWASP LLM Top 10 Aligned

Detection and governance mapped to all OWASP LLM Top 10 threat categories.

By The Numbers

The depth behind the platform.

14MCP Governance ToolsPurpose-built for agentic AI
9Evaluation LayersPattern matching through cognitive reasoning
6,500+Adversarial Variants647 base templates × 5 mutation strategies
3Public BenchmarksAdvBench, JailbreakBench, HarmBench
5Compliance FrameworksSOC 2, HIPAA, GDPR, PCI DSS, ISO 27001
6Integration ChannelsREST, MCP, LLM Gateway, Python SDK, TypeScript SDK, Browser Extension (private beta)

Ready to Take Control?

Start with the free community tier, or apply for our design partner program for hands-on onboarding.

Questions? Reach us at info@shrikesecurity.com