Strike Graph, an AI-native compliance platform, has announced significant enhancements to its suite of artificial intelligence features, designed to optimize compliance management, accelerate audit readiness, and provide precision in a complex regulatory landscape.
Enterprise teams increasingly face security risks, regulatory complexity, and expanding compliance frameworks. This environment creates pressure to validate growing volumes of evidence, operate within rapidly changing enterprise configurations, and prevent inaccuracies that can lead to audit exceptions or rejected vendor submissions. Traditional Governance, Risk, and Compliance (GRC) platforms often rely on predefined integrations and siloed frameworks, struggling to adapt to dynamic real-world systems, collect accurate evidence, or scale across multiple frameworks.
Strike Graph addresses these issues with its AI-native architecture, built on a dynamic, graph-based data model. The recent enhancements across its integration and AI features aim to deliver deeper automation, real-time validation, and scalable compliance without the limitations of rigid connectors. Justin Beals, CEO and Founder of Strike Graph, stated, “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. 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.”
The company’s AI Security Assistant, an AI-native compliance consultant, now offers real-time guidance for configuring secure integration connections. This functionality helps teams connect to various systems and capture precise evidence required for framework compliance. Users can describe the desired evidence, automate integration setup with context-aware guidance, receive custom code for data retrieval, identify gaps, strengthen controls, and prepare for additional frameworks, thereby reducing manual effort.
Micah Spieler, Strike Graph’s Chief Product Officer, commented, “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. 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.”
Further enhancing its platform, Strike Graph introduced the Evidence API, a new REST API that enables security and compliance leaders to automatically push evidence from any cloud system, multi-cloud environment, database, CI/CD pipeline, internal application, or legacy environment. This eliminates reliance on rigid, 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 performs 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, and identifies control failures and current risk exposure. It can also replicate functionality across various teams, systems, and environments.
With the Evidence API, organizations gain unlimited evidence ingestion from internal or external systems, real-time analysis through Verify AI, continuous compliance monitoring across changing environments, flexible integration strategies for modern, legacy, and hybrid architectures, and automated, persistent audit readiness driven by scalable data collection.
Beals added, “Rigid integrations might pull data, but they can’t tell you whether it’s the right evidence or whether it will pass an audit. 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.”
Strike Graph’s AI-native compliance management platform is designed to transform GRC in three critical areas for enterprise compliance teams.
First, its flexible architecture, built on a dynamic, graph-based model, supports modern, hybrid, and legacy environments without imposing rigid integrations or predetermined workflows. It scales across frameworks such as SOC 2, ISO 27001, CMMC, PCI DSS, HIPAA, and DORA, making it adaptable to overlapping requirements and evolving enterprise infrastructure.
Second, AI validation via Verify AI automatically tests evidence against control requirements, aiming 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 audit readiness.
Third, intelligent recommendations and guided automation through AI Security Assistant offer contextual advice 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, enabling deeper and safer automation than traditional GRC tools.
Founded in 2020 by technologist and serial entrepreneur Justin Beals, Seattle-based Strike Graph has helped hundreds of organizations reduce compliance timelines by over 86% and achieve 100% clean audit reports. The company operates its own AI models with privacy-first principles, ensuring customer data remains secure. All new updates are available across Strike Graph’s Certify, Scale, and Enterprise product plans. Further information can be found at www.strikegraph.com.
