Capsule Runtime Security for AI Agents vs Enkrypt AI Guardrails: Side-by-Side Comparison (2026)

Capsule Runtime Security for AI Agents: Runtime security platform for AI agents with discovery, observability, and enforcement. built by Capsule Security. Core capabilities include Agentless AI agent discovery across home-grown, SaaS, and endpoint environments, Agent Security Graph mapping agent-tool-data relationships at runtime, Real-time observability into agent actions, decisions, and execution paths..

Enkrypt AI Guardrails: Runtime security layer for AI agents, RAG, and MCP with real-time controls. built by Enkrypt AI. Core capabilities include Real-time approval, modification, or blocking of AI agent actions, Prompt injection defense at input boundary, RAG retrieval filtering with source constraints and redaction..

Both serve the Agentic AI Security market but differ in approach, feature depth, and target audience.

Capsule Runtime Security for AI Agents differentiates with Agentless AI agent discovery across home-grown, SaaS, and endpoint environments, Agent Security Graph mapping agent-tool-data relationships at runtime, Real-time observability into agent actions, decisions, and execution paths. Enkrypt AI Guardrails differentiates with Real-time approval, modification, or blocking of AI agent actions, Prompt injection defense at input boundary, RAG retrieval filtering with source constraints and redaction.

Capsule Runtime Security for AI Agents is developed by Capsule Security. Enkrypt AI Guardrails is developed by Enkrypt AI. Vendor maturity, funding stage, and team size can be important factors when evaluating long-term viability and support quality.

Capsule Runtime Security for AI Agents and Enkrypt AI Guardrails serve similar Agentic AI Security use cases: both are Agentic AI Security tools, both cover LLM Guardrails. Review the feature comparison above to determine which fits your requirements.