When we founded Strike Graph five years ago, we set out to build a modern governance, risk, and compliance (GRC) system designed for the digital age. We knew that companies needed a more flexible, scalable, and efficient way to manage compliance—one that could grow with their business, adapt to new security frameworks, and support the increasing complexity of security operations.

From the outset, our approach was fundamentally different.

We watched as competitors built rigid “one-size-fits-all” compliance automation tools, which essentially limited their ability to develop powerful AI features. When every company looks the same within a system, there’s little room for meaningful insight or adaptability.

Strike Graph took a different path. Our data ontology, or “graph database” is designed to precisely fit any organization's unique security posture.  By structuring compliance data in a way that remains both dynamic and highly adaptable, we’ve been able to rapidly develop intelligent features that provide real value—making AI a core pillar of our solution.

The architectural decisions we made five years ago have become one of our greatest strengths, positioning Strike Graph as the leader in AI-driven compliance we are today.

A fundamentally different architecture

There is plenty of software out there that claim to be modern approaches to compliance, and while some of their approaches may be novel, they are also at their core unable to meet the challenges of their customers as they outgrow the concepts of “compliance in a box”. Many of our competitors have built their platforms centered around the singular idea of audit prep through cloud monitoring. These solutions operate with a tightly coupled structure where framework criteria, controls, and evidence are bound together in a rigid system. This approach might work for organizations with simple compliance needs, but it quickly becomes inefficient and restrictive for companies managing multiple frameworks or complex security programs.

Strike Graph’s approach is fundamentally different. 

We designed our platform with unique data structures for each compliance element:

• Evidence items are structured independently from controls (yet are interconnected) 
• Controls are separate from framework requirements.
• Risks are separate from mitigating controls.
• All elements span across the entire security program and are not tied to one compliance framework.

Our data ontology - spanning risks, controls, evidence, and frameworks - is built on a many-to-many model, allowing relationships to be dynamically created or adjusted. Each risk, control, and evidence can be updated, added, or disabled based on its relevance to an organization’s operations. To develop powerful AI, you need not just a large dataset, but one rich in variation. By precisely modeling compliance activities, our AI tools can deliver highly accurate predictions.

This modular design provides a level of flexibility that rigid compliance models simply cannot match. When an organization needs to comply with multiple frameworks—whether SOC 2, ISO 27001, NIST CSF, CMMC, or beyond—Strike Graph eliminates redundant effort. With this strong foundation, Verify AI can accurately predict whether a company will pass its audit, transforming compliance from a reactive process into a strategic advantage.

The real opportunity for compliance lies in this evolution. Effective assessments lead to accurate outcomes, and accurate outcomes drive better security, efficiency, and trust.

Real impact for multi-framework compliance

Consider a company that needs to comply with three different security frameworks. In a rigid compliance system, this would mean installing three frameworks, each with separate but overlapping controls and each control with its own evidence requirements. The result? A bloated, inefficient compliance program that creates unnecessary complexity.

With Strike Graph, every control, piece of evidence, and framework requirement remains distinct yet interconnected. This means organizations can:

• Reuse the same controls across multiple frameworks without duplication.
• Maintain a single source of truth for evidence.
• Easily adapt their security program as new frameworks and requirements emerge.

This capability is invaluable for enterprise customers with distributed compliance needs. For example, manufacturing companies with multiple plants often need to apply the same security framework across different locations, with different teams responsible for various aspects of compliance.

Strike Graph’s architecture effortlessly supports this complexity—something no other solution on the market can do as effectively.

Built for growth, designed for the future = AI-powered

Over the past five years, our commitment to flexibility and scalability has allowed us to grow and evolve with our customers. As security requirements continue to expand, regulatory landscapes shift, and technology evolves, organizations need a compliance solution that can keep pace. 

Because of our foundational architecture, Strike Graph has been able to quickly introduce new features without disrupting existing workflows, seamlessly support customers as they expand into new frameworks and regions, and enable truly right-sized security tailored to the unique needs of each organization.

Looking ahead, our focus remains the same: empowering organizations to build and maintain effective security programs with ease, and leaning into leveraging AI and automation to create even more efficiencies for our customers. 

Our journey has only just begun, and we’re excited to continue innovating, growing, and delivering the most flexible AI-powered GRC solution on the market. If you'd like to see this in action, schedule some time with one of our compliance experts today. 

Here’s to the next five years—and beyond.