1
Hybrid Scanning Engine
Combines deterministic rules and AI reasoning to detect known and emerging vulnerabilities across all attack surfaces with high precision.
2
Unified Risk Intelligence
Correlates findings across scanners and enriches them with business context to prioritize risks based on exploitability and real-world impact.
3
AI-Powered Security Agents
Integrates AI agents into developer workflows to detect, explain, and automatically remediate vulnerabilities in real time within IDEs and CI/CD pipelines.
4
Application Security Posture Management (ASPM)
Provides continuous visibility and governance across human-written and AI-generated code, open-source dependencies, containers, and runtime environments.
5
Security for AI Components
Inventories and governs AI models, MCP servers, agents, SDKs, datasets, and prompts to manage risks in AI software supply chains.
6
Developer-First Integration
Seamlessly integrates into existing IDEs, source control, CI/CD tools, and ticketing systems to enforce security without disrupting developer workflows.
7
Automated Remediation Assistance
Generates merge-ready fix recommendations inline to accelerate remediation and reduce backlog and developer rework.
8
Runtime Security Testing (DAST)
Simulates real-world exploits against running applications and APIs to validate vulnerabilities beyond static analysis.
