October Product Roundup: Advancing AI-Powered Risk Management with Strike Graph

Strike Graph’s latest Product Roundup with CEO Justin Beals and VP of Product Micah spotlights major advancements in AI-driven risk management, showcasing how the platform continues to evolve for real-time compliance visibility and proactive risk mitigation.

🚀 Key Highlights
1. Advanced Risk Scoring Methodology
Strike Graph introduces a new NIST 5-point matrix for risk scoring, now available across frameworks like SOC 2, ISO 27001, and NIST CSF. 

2. Real-Time Risk Tracking and “Needs Attention” Alerts
Strike Graph automatically flags risks when related controls or evidence fall out of compliance ensuring teams never miss emerging exposures.

3. AI-Enhanced Evidence Coverage Analysis
Strike Graph’s AI-native architecture is designed for real-time compliance management, not just automation.  Verify AI analyzes your evidence library and identifies gaps or incomplete coverage. AI Security Assistant automatically recommends and drafts new evidence items, enabling one-click additions to strengthen compliance posture.

4. Continuous Compliance, Not Annual Check-Ins
With automated evidence testing and instant exposure detection, teams can monitor their security and compliance posture continuously. Strike Graph’s intelligent infrastructure transforms static assessments into living risk programs, reducing time, cost, and risk for compliance teams.

5. Built for AI-Native Security Operations
Justin and Micah emphasize that Strike Graph’s AI integrations are self-hosted—keeping data secure—and built to solve compliance problems, not just generate text. This ensures customers gain trustworthy automation that enhances security, rather than introducing new risks.