Autonomous AI agent that continuously detects, triages, and remediates security issues for small teams

Autonomous AI agent that continuously detects, triages, and remediates security issues for small teams targets a $24.0B = 2,000,000 organizations × $12K ACV (targeting endpoint/MDR/security ops needs across SMBs and mid-market) total addressable market with medium saturation and a year-over-year growth rate of 12% CAGR (MarketsandMarkets/IDC estimates for cybersecurity & MDR market, 2023–2028).

Key trends driving demand: Automation-first security — Security teams are adopting automation and playbooks to scale protection which creates demand for autonomous agents.; Developer-driven security — Dev and DevOps teams are assimilating security tools into CI/CD and cloud workflows, creating openings for developer-friendly agents.; LLMs and agents in ops — Recent LLM/agent advances make natural-language triage, context extraction, and automated response practical at lower cost.; Cloud telemetry expansion — More cloud and SaaS platforms expose richer event streams and APIs that agents can consume for continuous monitoring.; Security talent shortage — Shortage of trained SOC analysts increases willingness to buy automated detection and triage for SMBs..