Detecting missed code vulnerabilities using AI-powered security scanning

Detecting missed code vulnerabilities using AI-powered security scanning targets a $12.0B = 500K development teams × $24K ACV total addressable market with high saturation and a year-over-year growth rate of 15% YoY (industry estimates for application security market; sources include Gartner and Forrester growth projections).

Key trends driving demand: Shift-left security — organizations are moving security earlier into the SDLC, creating demand for developer-integrated scanning that reduces late-stage fixes.; AI for code understanding — improved LLMs enable deeper cross-file and data-flow reasoning, unlocking detection of complex vulnerabilities that previous static tools missed.; Regulatory and insurance pressure — regulators and cyber-insurers increasingly require demonstrable secure development practices and evidence, making security tooling a procurement priority.; Consolidation toward platform vendors — buyers prefer unified platforms that cover SAST, SCA, and runtime telemetry, creating an opportunity for integrated offerings that reduce vendor sprawl..