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Strike Graph has announced significant enhancements to its AI-native compliance management platform, introducing deeper automation and real-time validation capabilities. The updates feature an upgraded AI Security Assistant for guided integration setup and a patent-pending Verify AI for automated evidence testing, aiming to deliver enterprise-grade precision and scalability across complex, hybrid IT environments.
Strike Graph enhances its AI-native compliance platform with new AI Security Assistant and Verify AI features.
AI Security Assistant provides real-time guidance for configuring secure integrations and can generate custom code.
Verify AI automatically validates evidence against control requirements for accuracy and completeness.
A new Evidence API allows unlimited evidence ingestion from any internal or external system.
The platform uses a dynamic, graph-based architecture to scale across frameworks like SOC 2, ISO 27001, and CMMC.
The goal is to eliminate rigid integrations and manual review, ensuring continuous audit readiness.
The enhanced AI Security Assistant acts as a real-time consultant for compliance teams. It guides users through configuring secure integration connections to various systems, providing context-aware instructions and even generating custom code snippets to extract the precise data needed as evidence. This moves beyond pre-built, rigid integrations to offer flexibility for complex enterprise environments. “It brings the intelligence and adaptability of our AI-native platform directly into the integration process,” said Micah Spieler, Chief Product Officer at Strike Graph.
A core innovation is Verify AI, described as a patent-pending "internal auditor." When evidence is ingested via the new Evidence API (or other methods), Verify AI automatically analyzes it against defined control requirements. It performs automated testing for relevance, completeness, and accuracy, flagging potential concerns, gaps, or control failures in real-time. This aims to eliminate manual evidence review and prevent audit exceptions due to inaccurate or insufficient documentation.
The newly introduced Evidence API provides a flexible conduit for automated evidence collection. It allows organizations to push evidence into Strike Graph from any source—cloud systems, CI/CD pipelines, databases, or legacy applications—without reliance on limited pre-built connectors. This, combined with Verify AI's instant analysis, is designed to create a scalable, continuous compliance monitoring system that adapts as the IT environment changes.
Strike Graph's platform is built on a dynamic, graph-based data model rather than siloed frameworks. This allows it to map controls and evidence across multiple compliance standards (SOC 2, ISO 27001, CMMC, etc.) simultaneously, helping organizations manage overlapping requirements. The AI-native approach is positioned as an alternative to traditional GRC tools that struggle with the complexity of modern, hybrid enterprise architectures.
By focusing on AI-driven validation and flexible data ingestion, Strike Graph aims to transform compliance from a periodic, manual audit preparation exercise into a continuous, automated, and integrated business process.
About Strike Graph
Strike Graph is an AI-native compliance management company empowering organizations of any size to eliminate redundant work, accelerate audits, and achieve trust. Strike Graph’s next-generation platform transforms GRC through its purpose-built graph-based architecture, patent-pending agentic evidence validation technology, Verify AI, intelligent recommendation engine, Security Assistant, and dynamic mapping across 30+ compliance frameworks. Built with privacy-first principles, Strike Graph hosts its own AI models rather than relying on third-party services, ensuring customer data remains secure and siloed. Founded in 2020 by technologist and serial entrepreneur Justin Beals and backed by top-tier investors, Strike Graph has helped hundreds of organizations reduce compliance timelines by more than 86% while achieving 100% clean audit reports.
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