1
Preventative Guardrails
Implements security guardrails across AI tools, prompts, and code at the point of creation to prevent vulnerabilities before production.
2
Context Intelligence Graph
Provides a unified model correlating signals across the application development lifecycle, static analysis, supply chain security, and posture management to identify real risk exposure.
3
AI-Driven Remediation Orchestration
Uses Maestro to orchestrate AI agents that confirm exploitability, generate pull request-ready fixes, and automate vulnerability remediation at machine speed.
4
Comprehensive Security Coverage
Converges static application security testing (SAST), software composition analysis (SCA), infrastructure as code (IaC) scanning, container security, secrets detection, and CI/CD pipeline posture management.
5
AI Visibility and Governance
Detects shadow AI usage, manages AI policies, and enforces governance to secure AI-assisted development workflows.
6
Extensible Architecture
Offers open APIs and integration with managed code protection (MCP) servers to bring context and agent intelligence into any AI development tool.
7
Continuous Compliance and Evidence
Supports compliance with standards like NIST SSDF 1.2 by providing measurable controls, connected evidence, and remediation workflows.
8
Enterprise Scale and Performance
Onboards and scans over 160,000 repositories rapidly with 94% fewer false positives and 17x faster mean time to remediation for critical vulnerabilities.
