Real-time code security analysis
Security optimized for AI-powered development
Language-agnostic security analysis and remediation
AI-driven security for modern dev teams
Integration with AI coding assistants
Signal connects with popular AI coding assistants including Claude Code, Google Gemini, and GitHub Copilot via Model Context Protocol (MCP), so you can run security scans directly in your AI-driven workflows.
Your agentic AppSec team on demand
Role- and task-based agents extend your team, so you can find and fix security issues and defects in human- and AI-generated code.
Fast, incremental analysis of new code
Signal secures code as it’s created, so developers and coding assistants can review and apply verified fixes before it’s checked in.
Less noise, more clear insights
Built-in exploitability analysis eliminates false positives and low-risk findings, so teams can focus on critical issues.
Secure code in any language
Signal’s LLM-based analysis detects code defects in any language, from COBOL to Java to Rust, so you stay secure even when adopting the latest programming language.
Powered by ContextAI: The model for building secure software
Built on 20+ years of security expertise, ContextAI™ validates and enhances AI-based findings with human-validated security intelligence to make security more predictable, reliable, and cost-effective.