Certiv vs DapplePot: Side-by-Side Comparison (2026)

Certiv: Runtime security platform for discovering, monitoring, and controlling AI agents. built by Certiv. Core capabilities include AI agent discovery and inventory across endpoints, Real-time agent session monitoring and chain-of-thought analysis, Continuous behavioral risk scoring and anomaly detection..

DapplePot: AI agent fleet security platform for runtime monitoring and threat detection. built by DapplePot. Core capabilities include Real-time session monitoring of every LLM call, tool use, and agent decision, Session replay with frame-by-frame event timeline, Inline threat detection mapped to OWASP LLM Top 10 and Agentic AI Top 10 (147+ sub-checks)..

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

Certiv differentiates with AI agent discovery and inventory across endpoints, Real-time agent session monitoring and chain-of-thought analysis, Continuous behavioral risk scoring and anomaly detection. DapplePot differentiates with Real-time session monitoring of every LLM call, tool use, and agent decision, Session replay with frame-by-frame event timeline, Inline threat detection mapped to OWASP LLM Top 10 and Agentic AI Top 10 (147+ sub-checks).

Certiv is developed by Certiv. DapplePot is developed by DapplePot. Vendor maturity, funding stage, and team size can be important factors when evaluating long-term viability and support quality.

Certiv integrates with Claude Code, Cursor, GitHub Copilot, OpenAI, Anthropic and 2 more. DapplePot integrates with Slack, Microsoft Teams, Anthropic (Claude), OpenAI (GPT-4o). Check integration compatibility with your existing security stack before deciding.

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