Enterprises running autonomous AI agents lack runtime controls: Secure, local agent-proxy that scans every tool call, blocks threats, provides tamper-evident audit logs, LLM cost tracking, and SIEM forwarding. Local-first, open-source with optional cloud for consolidated B2B views.
Target Audience
Security, DevOps, and platform engineering teams running autonomous agents (RPA/LLM agents) or building internal agent tooling. Initially target SMBs and startups with security-conscious engineering teams, then expand to mid-market and enterprise SOCs needing SIEM-grade logs.
Market Size
$12.0B = 120,000 mid-large ent...
Competition
medium
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Protect autonomous agent tool calls with local runtime scanning & tamper-evident logs targets a $12.0B = 120,000 mid-large enterprises x $100K ACV (enterprise security + SIEM + agent governance budgets) total addressable market with medium saturation and a year-over-year growth rate of 25-35% annual growth driven by AI adoption and security spend.
Key trends driving demand: Autonomous agents -- broad adoption of agents (Auto-GPT, LangChain orchestration) increases runtime attack surface and demand for middle-tier controls.; Privacy & data-locality -- enterprises demand on-prem/local solutions so telemetry and PII don't leave customer networks, creating demand for local-first security.; SIEM centralization -- mature SIEMs and observability stacks accept external telemetry and want structured, enriched logs to power detection and compliance.; LLM-cost visibility -- as companies pay millions in model spend, cost-tracking tied to agent behavior becomes a measurable ROI lever for security products..
Key competitors include LangChain (open-source), Splunk, Datadog, Open Policy Agent (OPA), Fiddler AI.
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Analysis, scores, and revenue estimates are for educational purposes only and are based on AI models. Actual results may vary depending on execution and market conditions.