Airlock Digital Agentic AI Control & Governance vs Raven Runtime AI Agents: Side-by-Side Comparison (2026)
Features, pricing, ratings, and pros and cons, compared head to head.
Airlock Digital Agentic AI Control & Governance is a commercial agentic ai security tool by Airlock Digital. Raven Runtime AI Agents is a commercial agentic ai security tool by Raven. Compare features, ratings, integrations, and community reviews side by side to find the best agentic ai security fit for your security stack. Independent and vendor-neutral: our scores and rankings are earned, never bought — sponsored placement is always labeled.
CST VerdictBased on our analysis of NIST CSF 2.0 coverage, core features, integrations, company size fit, here is our conclusion:
Mid-market and enterprise security teams deploying AI agents in production need visibility into shadow AI that code review won't catch, and Raven Runtime AI Agents discovers and monitors agents without requiring registration or SDK changes across Java, Node.js, Python, and Go environments. The passive instrumentation model means you get real-time agent behavior tracking and policy-based blocking without the overhead that kills production workloads. Skip this if you're looking for agent governance at the development or pre-deployment stage; Raven is explicitly a runtime control tool, not a supply chain solution.
Data verified Aug 2026
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Airlock Digital Agentic AI Control & Governance
Endpoint platform to discover, govern, and monitor AI agent behavior in real time.
Raven Runtime AI Agents
Runtime platform to discover, monitor, and control AI agents in production apps.
Side-by-Side Comparison
Feature
Airlock Digital Agentic AI Control & Governance
Raven Runtime AI Agents
Pricing Model
Commercial
Commercial
Category
Agentic AI Security
Agentic AI Security
Verified Vendor
Deployment & Fit
Deployment Type
Hybrid
On-Premises
Company Size Fit
Mid-Market, Enterprise
Mid-Market, Enterprise
Company Information
Company
Airlock Digital
Raven
Headquarters
Use Cases & Capabilities
Agentic AI Security
AI Governance
Shadow AI
AI Observability
Policy
Visibility
Whitelist
GenAI Security
LLM Security
Runtime Security
Observability
Instrumentation
NIST CSF 2.0 Coverage
NIST CSF 2.0 Mapping
Access NIST CSF 2.0 data from thousands of security products via MCP to assess your stack coverage.
Access via MCPCore Features
- Automatic discovery of AI agents and agentic AI applications across endpoints
- Real-time AI agent command evaluation and policy enforcement
- Centralized policy management for applications and AI agents with version control
- Session-level and command-level visibility into AI agent activity
- Monitoring of file access, credential exposure, token usage, and cost
- Centralized dashboard for policy decisions, risk activity, and AI sessions
- Granular role-based control over policy management
- Communication of policy decisions back to AI agents to adjust behavior
- Automatic runtime discovery of AI agents in production without registration or tagging
- Real-time monitoring of agent behavior including data access, API calls, and code paths
- Policy-based runtime controls to alert or block unsafe agent actions
- Developer attribution tracing agent actions to owning service, deployment, code change, and author
- Shadow AI agent detection without requiring code changes or SDK instrumentation
- Support for polyglot environments including Java, Node.js, Python, and Go
- Low-overhead passive runtime instrumentation designed for production workloads
Integrations
Microsoft Copilot
Claude
Codex
No integrations listed
Community
Community Votes
0
0
Bookmarks
User Reviews
No reviews yet
No reviews yet
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Airlock Digital Agentic AI Control & Governance vs Raven Runtime AI Agents FAQ
Common questions about comparing Airlock Digital Agentic AI Control & Governance vs Raven Runtime AI Agents for your agentic ai security needs.
Airlock Digital Agentic AI Control & Governance: Endpoint platform to discover, govern, and monitor AI agent behavior in real time. built by Airlock Digital. Core capabilities include Automatic discovery of AI agents and agentic AI applications across endpoints, Real-time AI agent command evaluation and policy enforcement, Centralized policy management for applications and AI agents with version control..
Raven Runtime AI Agents: Runtime platform to discover, monitor, and control AI agents in production apps. built by Raven. Core capabilities include Automatic runtime discovery of AI agents in production without registration or tagging, Real-time monitoring of agent behavior including data access, API calls, and code paths, Policy-based runtime controls to alert or block unsafe agent actions..
Both serve the Agentic AI Security market but differ in approach, feature depth, and target audience.
Airlock Digital Agentic AI Control & Governance differentiates with Automatic discovery of AI agents and agentic AI applications across endpoints, Real-time AI agent command evaluation and policy enforcement, Centralized policy management for applications and AI agents with version control. Raven Runtime AI Agents differentiates with Automatic runtime discovery of AI agents in production without registration or tagging, Real-time monitoring of agent behavior including data access, API calls, and code paths, Policy-based runtime controls to alert or block unsafe agent actions.
Airlock Digital Agentic AI Control & Governance is developed by Airlock Digital. Raven Runtime AI Agents is developed by Raven. Vendor maturity, funding stage, and team size can be important factors when evaluating long-term viability and support quality.
Airlock Digital Agentic AI Control & Governance and Raven Runtime AI Agents serve similar Agentic AI Security use cases: both are Agentic AI Security tools, both cover Agentic AI Security, Shadow AI, AI Observability. Review the feature comparison above to determine which fits your requirements.
Have more questions? Browse our categories or search for specific tools.
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