New AI-guided integrations with robust data ingestion, compliance recommendations, and real-time evidence validation improve continuous compliance for organizations across any environment or framework

Strike Graph, the AI-native compliance platform that helps organizations achieve and maintain audit readiness with unmatched speed and precision, today announced significant enhancements to its suite of AI features that are purpose-built to streamline compliance management.

Amid increasing security risks, regulatory complexity, and expanding compliance frameworks, enterprise teams face mounting pressure to validate growing volumes of evidence, work within rapidly changing enterprise environments, and prevent inaccuracies that lead to costly audit exceptions or rejected vendor submissions. Yet most GRC platforms are still built around predefined, vendor-controlled integrations and siloed frameworks that can’t adapt when real-world systems and configurations inevitably change. They struggle to collect the right evidence, lack meaningful automation, and fail to scale across multiple frameworks.

Strike Graph directly addresses these challenges with its AI-native architecture—built on a dynamic, graph-based data model—and new enhancements across its integration and AI features that deliver deeper automation, real-time validation, and scalable, flexible compliance without the limitations of rigid or insecure third-party connectors.

“Compliance has outgrown the one-size-fits-all model. Enterprises operate in complex, distributed environments where rigid integrations and siloed frameworks simply can’t scale,” said Justin Beals, CEO and Founder of Strike Graph. “With our innovations to our agentic AI tools like Security Assistant and Verify AI, we’re delivering a truly enterprise-grade, AI-native compliance management platform. Strike Graph adapts to your architecture—not the other way around—so companies can automate and validate with speed and precision while maintaining audit readiness across any framework.”

AI Security Assistant: Your AI Compliance Consultant

Strike Graph’s AI Security Assistant, the AI-native compliance consultant that continuously aligns compliance, risk, evidence, and controls across the enterprise, now provides real-time guidance for configuring secure integration connections, enabling teams to connect to most systems and capture the precise evidence to satisfy framework requirements.

With AI Security Assistant, users can:

• Describe the evidence desired to prove control operation
• Automate integration setup with real-time, context-aware guidance
• Receive custom code that finds and sorts the correct data from third party systems
• Identify gaps, strengthen controls, and prepare for additional frameworks
• Reduce manual effort so compliance teams can focus on strategy and outcomes

“AI Security Assistant doesn’t just tell you how to configure an integration; it writes the code, guides the setup, and ensures it’s correct and secure before it goes live,” said Micah Spieler, Strike Graph’s Chief Product Officer. “It brings the intelligence and adaptability of our AI-native platform directly into the integration process, eliminating the rigid, one-size-fits-all integration models that have kept other compliance platforms from scaling with real enterprise environments.”

Verify AI: Enterprise-Scale with Unlimited Automated Evidence Collection

Strike Graph’s new REST API, Evidence API, provides security and compliance leaders with the ability to automatically push evidence from any cloud system, multi-cloud environment, database, CI/CD pipeline, internal application, or legacy environment—eliminating reliance on rigid, limited pre-built integrations. Once evidence is ingested, Verify AI, the company’s patent-pending AI-native internal auditor, analyzes it instantly for alignment, flags potential concerns, and delivers automated testing and gap analysis—streamlining workflows for CISOs, compliance directors, and enterprise risk teams.

Verify AI automatically:

• Validates attachments against customer-defined evidence requirements
• Performs automated testing for relevance, completeness, and accuracy
• Identifies control failure and current risk exposure
• Can replicate functionality across teams, systems, and environments

With the Evidence API, organizations gain:

• Unlimited evidence ingestion from any internal or external system
• Real-time analysis through Verify AI to eliminate manual review
• Continuous compliance monitoring across changing environments
• Flexible integration strategies for modern, legacy, and hybrid architectures
• Automated, persistent audit readiness driven by scalable data collection

“Rigid integrations might pull data, but they can’t tell you whether it’s the right evidence or whether it will pass an audit,” said Beals. “With Strike Graph, organizations finally get both flexibility and certainty—evidence from any system, automatically tested for accuracy and readiness the moment it’s collected.”

Enterprise-Grade Value: Designed for Real GRC Architectures, Not One-Size-Fits-All Templates

Strike Graph’s AI-native compliance management platform transforms GRC in three critical areas for enterprise compliance teams:

1. Flexible architecture that adapts and scales with any compliance program
   
   Strike Graph’s dynamic, graph-based architecture supports modern, hybrid, and legacy environments without forcing customers into rigid integrations or predetermined workflows. It scales seamlessly across SOC 2, ISO 27001, CMMC, PCI DSS, HIPAA, DORA, and dozens of additional frameworks, making it easy to manage overlapping requirements and evolving enterprise infrastructure.
2. AI validation for accuracy, completeness, and audit readiness
   
   Verify AI automatically tests evidence against control requirements to eliminate inaccuracies, reduce audit exceptions, and maintain continuous compliance as systems change. Evidence is reviewed in real-time for alignment, completeness, and correctness to ensure every control remains audit-ready.
3. Intelligent recommendations and guided automation through AI Security Assistant
   
   The AI Security Assistant offers contextual recommendations to strengthen controls, close gaps, and prepare for new frameworks. It guides integration setup with real-time prompts, generates secure code snippets, and adds validation safeguards—helping teams automate deeper, faster, and more safely than traditional GRC tools.

While many compliance tools rely on pre-defined integrations and fixed control mappings, Strike Graph takes a fundamentally different approach. Its AI-native platform, powered by dynamic ontologies and flexible evidence ingestion, meets enterprises where their infrastructure lives—across multi-cloud, hybrid, and legacy systems—while delivering continuous, accurate validation across all frameworks.

Availability

Enterprise teams looking to modernize their compliance management and maintain continuous audit readiness, no matter how complex, can begin leveraging Strike Graph immediately. All updates are available across Strike Graph’s Certify, Scale, and Enterprise product plans.

To explore which plan best supports your compliance program or to see these capabilities in action, visit www.strikegraph.com.

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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