1
AI-Powered Risk Detection at Design Phase
Uses a native private LLM to analyze feature requests in ticketing systems for risks before code is written, generating automated threat modeling stories and mitigation strategies.
2
Risk Graph™
Patented Deep Code Analysis combined with code-to-runtime matching and a risk engine to contextualize and prioritize risks based on business impact and likelihood.
3
Unified Risk Visibility and Prioritization
Aggregates and normalizes security findings from multiple tools and across the software development stack for a comprehensive risk overview.
4
Native Contextual Security Scanners
Includes native scanners for software supply chain security, secrets detection, and open source security to extend coverage beyond integrations.
5
Seamless Integration with SCM and CI/CD
API-based integrations build continuous inventory of codebases, linking risks to commits, branches, pull requests, and runtime environments.
6
Automated Risk-Based Policy Engine
Enables embedding of security guardrails into pull requests and builds, automating workflows and triggering remediations based on risk policies.
7
Extended Software Bill of Materials (XBOM)
Provides complete and continuous visibility across applications and software supply chains to support regulatory compliance and risk management.
8
Risk Graph Explorer and Custom Policies
Allows creation of customized risk policies and toxic combinations to focus on relevant risks and minimize noise in alerts.
