Cognitive Security
for Every AI Interaction.
From employees using ChatGPT to agents executing code — see every AI interaction, control what's allowed, prove it at audit time.
Not pattern matching. Not static rules. A 9-layer cognitive pipeline that adapts as fast as the threats evolve.
Discover
Find every AI tool, model, and interaction across your organization — sanctioned or shadow
Govern
Every AI interaction governed in real time — allow, approve, or block — before data leaves or actions execute
Prove
Audit trail for every AI interaction — compliance-ready at all times
Vendor-Agnostic — Works Across Every AI Provider
Engineered for High-Assurance Environments
The Security Gap Is Documented, Quantified, and Widening
From employees using ChatGPT to agents executing code — AI interactions are happening without governance.
Shadow AI
92% of developers use AI tools daily. Most organizations have zero visibility into what data employees share with AI models.
Kiro Incident
Amazon's Kiro agent bypassed two-person approval and deleted a production environment (Dec 2025)
OpenClaw Exposure
180K+ GitHub stars. 512 vulnerabilities. 135K+ exposed instances. No governance layer.
23% Enforcement
Only 23% of organizations have inline enforcement for AI interactions (Cybersecurity Insiders, 2026)
Enterprise Push
NVIDIA pushing NemoClaw enterprise adoption at GTC 2026. AI going mainstream without security.
See What Gets Caught Before It Reaches the Model
Sensitive data flows into AI tools every day — often without anyone realizing. Try it — enter a prompt with PII or a jailbreak attempt and watch Shrike enforce your policy in real time.
Enter a prompt to analyze, or select one of our guided examples to see the agent in action.
Imagine this running on every AI interaction across your organization.
Protect Every AI Interaction in Your Browser
Deploy the Shrike browser extension across your organization. Instant visibility into every ChatGPT, Claude, Gemini, and Copilot interaction. Sensitive data is detected and redacted before it reaches the model.
- No infrastructure changes required
- No workflow disruption — your team keeps using AI
- PII detected and redacted before it leaves the browser
- Full audit trail of every AI interaction
Employee prompt:
"Draft outreach for these customers: john@acme.com, sarah@corp.io [EMAIL_1], [EMAIL_2]"
Employee continues working. Data never reaches the model. Full audit trail logged.
One Platform. Every AI Interaction.
Employees, developers, agents, and chatbots — all protected through the same platform.
Employee using ChatGPT
Marketing manager pastes customer email list into ChatGPT to draft outreach. Contains names, emails, and purchase history.
Browser extension detects PII before it reaches the model. Redacts sensitive fields. Manager continues working.
Developer using Copilot
Engineer uses AI coding assistant with proprietary codebase open. Assistant sends code context to cloud API.
SDK scans prompts for proprietary code patterns. Blocks or redacts before code leaves the environment.
AI Agent Executing Actions
Customer service agent autonomously queries database, drafts response, and initiates refund. No human reviewed the refund.
Full lifecycle governance. Database query scanned. Response checked for PII. Refund requires human approval above threshold.
Customer-Facing Chatbot
Company chatbot answers customer questions. Attacker injects prompt through support ticket to extract system instructions.
Scan detects injection attempt. Response blocks system prompt leakage. Incident logged with full context.
Six Guarantees for Your AI Security Program
From discovery to compliance — everything a CISO needs to say yes to AI in production.
Discover
Find every AI tool, model, and shadow usage across your organization. Know what's sanctioned and what's not — before it becomes a breach.
See
Real-time visibility into every agent action, tool call, and data flow. Know what your AI is doing — right now, not after the incident report.
Control
Borderline actions require human approval. Prohibited actions are blocked instantly. Every violation creates an incident — input and output.
Fast + Untouchable
Sub-15ms enforcement in a hardware enclave the LLM cannot access or modify. Not software. Not bypassable. Tamper-proof by design.
Plug In Today
Proxy, MCP, A2A, SDK, browser extension — meet your enterprise where it is. No rip-and-replace. Whatever protocol your agents speak.
Prove It
Audit trail for every AI interaction. Every policy decision mapped to SOC 2, HIPAA, NIST, and EU AI Act. Compliance-ready at all times.
Built on Zero Trust principles — every agent action verified, every data flow tokenized, every policy enforced in a hardware enclave no model can access. Zero knowledge by design — clean interactions are verified and released, never stored. Only violations are retained, encrypted at rest. We don't keep what we don't need.
Deploy anywhere — cloud, VPC, air-gapped, sovereign. Your data never leaves your control.
Three Products. One Platform.
Complete AI security coverage — from discovery to defense to governance.
Security Operations Center
Investigate, respond, and report — all in one place.
- Real-time dashboard & analytics
- Incident management
- Red team testing (2,200+ patterns)
- Audit trails & compliance reports
Real-Time Threat Prevention
Block attacks before they reach your models.
- Prompt & response scanning
- PII redaction & tokenization
- MCP tool protection
- LLM Gateway
Security Posture Management
Know your AI attack surface before adversaries do.
- Shadow AI discovery
- Model inventory & risk scoring
- Posture monitoring
- Misconfiguration detection
Built on 6 provisional patents · Cognitive detection, hardware enforcement, self-approval prevention, and security knowledge graph
Autonomous Agents. Human Governance.
AI agents can book flights, move money, and query production databases. Shrike ensures consequential actions require human approval before execution.
Context-Aware — Not All Data Requires the Same Response
Protect the Person
PII like emails or SSNs gets redacted. Users continue working without interruption.
Protect the System
Jailbreaks and prompt injections get blocked entirely to prevent infrastructure compromise.
Empower the Agent
Allow agents to execute complex tools (SQL, File IO) by validating the intent, not just text.
Human-in-the-Loop Approval
Agent Proposes Action
Agent requests a financial transaction or data deletion
Human Reviews & Decides
Approver reviews with full context via dashboard, Slack, or API
Approved
Full audit trail recorded.
Rejected
Justification logged.
Configurable Approval Policies For
Agents cannot self-approve their own actions. Severity-based enforcement ensures critical decisions always require human judgment.
Meet Your Enterprise Where It Is
No rip-and-replace. Plug Shrike into your existing stack today — whatever protocol your agents speak.
REST API
Direct API integration for any stack. Full scan, policy, and audit endpoints.
POST /api/v1/scanMCP Server
Native Model Context Protocol support. Works with Claude Desktop, Cursor, Windsurf.
npx shrike-mcpLLM Gateway
Change one URL, scan everything. Zero-code integration for all LLM providers.
base_url = "proxy.shrikesecurity.com"SDKs
3 lines of code. Native Go, Python, and TypeScript with drop-in OpenAI wrapper.
pip install shrike-guardBrowser Extension
Protect every employee. Intercepts sensitive data in ChatGPT, Claude, and Gemini.
Chrome · EdgeA2A Protocol
Secure agent-to-agent communication. Scan messages and validate AgentCards before trust.
scan_a2a_messageCircuit breaker with configurable fail mode — you decide if security or availability wins during degradation. Sub-15ms median. 95% handled by deterministic layers.
Secure your Agent in 3 lines of code.
Import the SDK, initialize the client, and wrap your LLM calls. We handle the latency, caching, and PII redaction automatically.
Why Traditional Security Can't Govern AI
Pattern matching was built for a world of known threats. Autonomous agents create novel ones. Cognitive security reasons about what it hasn't seen before.
| Capability | Static Scanners | Shrike Security |
|---|---|---|
| Detection approach | Pattern matching (static rules) | Cognitive reasoning (LLM + 9 deterministic layers) |
| Novel threat response | Manual rule updates (days–weeks) | Detected on first encounter — adapts without rules |
| Detection pipeline | Single-layer regex or LLM | 9-layer cascade (regex → semantic → session → reasoning) |
| Session awareness | Each scan isolated — no memory | Multi-turn correlation across full conversation lifecycle |
| Self-approval prevention | None | Patent-pending server-side enforcement |
| Enforcement model | Software (bypassable) | Hardware TEE (tamper-proof) |
| Output security | Limited or none | Full response intelligence |
| Adaptive defense | Manual rule updates after each bypass | ThreatSense — auto-generates patterns from bypass attempts |
| Deployment options | Cloud only | Cloud, VPC, Air-gapped, Sovereign |
Simple, Scan-Based Pricing
Start free. Scale as your AI footprint grows.
For teams getting started with AI security — protect your first AI interactions in minutes.
- 1,000 scans / month
- MCP server + REST API
- 9-layer detection pipeline
- Community support
For teams that need full protection across employees, developers, and AI tools — with compliance reporting.
- 25,000 scans / month
- Human-in-the-loop approvals
- Compliance dashboards & audit trails
- MCP server, browser extension + SDK
- Priority support
For organizations governing AI across the enterprise — from shadow AI discovery to autonomous agent lifecycle management.
- Everything in Pro
- SIEM connectors (Splunk, CrowdStrike, Sentinel)
- Security knowledge graph + cross-org threat intel
- Air-gapped, VPC, & sovereign deployment
- SSO / SAML + advanced RBAC
- SLA & dedicated support
- Available on GCP Marketplace — use existing committed spend
- Native Vertex AI integration
Ready to govern every AI interaction?
Technical Resources
View all documentationThe "Scan Sandwich" Pattern
Architecture guide for implementing input/output filtering in Agentic workflows.
SDK Reference (Python/TypeScript)
API documentation for the Shrike Guard SDKs and middleware integration.
NIST IR 8596 Alignment
How Shrike maps to the new NIST Cybersecurity Framework Profile for AI.