Checkmarx

Checkmarx — Technical Use Cases

1. High-Fidelity SAST at Scale Engineering and AppSec teams processing large codebases can leverage Checkmarx's hybrid scanning engine — combining rules-based precision with Anthropic AI — to achieve an 11% higher true-positive rate and 2.5x higher F1 score than average SAST tools. At 800B+ lines of code analyzed monthly across its customer base, the platform is proven at enterprise scale.

2. AI-Augmented Vulnerability Triage The Triage & Remediation Assist agent automates the classification and prioritization of findings, reducing analyst toil on false positives and surfacing actionable, high-confidence vulnerabilities for remediation.

3. Developer-Embedded Remediation Developer Assist integrates directly into IDE and PR workflows, providing contextual fix guidance at the point of coding and code review — shifting security left without disrupting developer velocity.

4. AI Supply Chain Security For teams building AI-native applications, Checkmarx provides AI-BOM generation, LLM component scanning, and MCP scanning to identify risks introduced through AI models, third-party LLM integrations, and Model Context Protocol servers.

5. Unified ASPM Across Attack Surfaces Security engineers and AppSec managers can consolidate risk intelligence across all scanning surfaces into a single posture management view, enabling prioritized remediation and compliance reporting.

6. MCP Server Security Native MCP Server integration allows security tooling to participate in AI-agent workflows, enabling security checks to be embedded within agentic development pipelines.