How frontier LLMs are changing vulnerability discovery, and why security teams need more than another model to keep up.
Frontier AI can surface vulnerabilities and accelerate exploitation, but it cannot reliably decide what matters in a specific environment or govern what happens next. This whitepaper explains why the AppSec bottleneck has shifted from discovery to context, prioritization, execution, and governance and evidence.
See how Checkmarx One combines trusted scanning, Attackability-based triage, Risk Orchestration, AI-assisted remediation, supported GitHub fix pull requests, and AI Assist Usage Analytics to turn AI-scale findings into governed decisions, review-ready proposed fixes, and measurable outcomes while preserving human review and accountability.
Triage Assist and Remediation Assist support risks in Checkmarx One. Approved performance claims include up to 95% lower MTTR and more than 65% of findings fixed on the first attempt.
Use the citations approved for the final whitepaper. Product availability and workflow support vary by eligible finding, scanner, repository integration, vulnerability type, language, and configuration. Proposed code changes require human review and approval. Performance results may vary.