Strike Graph has landed a coveted spot in the AWS Startups: Building with Llama program, a six-month, invite-only initiative created by AWS and Meta to accelerate innovation on Llama, Meta’s fast-growing open-source AI ecosystem. Only 33 startups nationwide made the cut—just 3% of more than 1,000 applicants—placing Strike Graph among the top AI companies shaping real-world enterprise solutions.

For a sector long plagued by checklists, spreadsheets, and reactive controls, Strike Graph represents a radically different vision of compliance: one fueled by agentic intelligence, dynamic data models, and continuous verification.

Reimagining Compliance With Adaptable AI

Founded in 2020 by technologist Justin Beals, Strike Graph was built around a simple but disruptive premise: compliance frameworks shouldn’t be static. Regulations shift, attack surfaces evolve, and enterprise systems change too fast for manual processes. Strike Graph addresses that gap with an AI-native platform designed to adapt in real time.

Instead of treating compliance elements as isolated artifacts, the company uses dynamic ontologies and graph-based data models to map risks, controls, evidence, and frameworks as interconnected but distinct entities. This architecture unlocks AI-driven automation at scale, allowing agentic systems to interpret, test, and validate compliance requirements continuously.

The result is a platform engineered not just to pass audits but to transform compliance into a strategic, ongoing advantage.

The AI Features Behind Strike Graph’s Momentum

Strike Graph’s placement in the Llama program underscores the maturity of its AI stack. Several capabilities stand out:

• Agentic AI Architecture: Powers adaptive, context-aware workflows that evolve with regulatory and business environments.

• Verify AI: A patent-pending internal auditor that monitors and validates controls in real time.

• AI Security Assistant: Delivers instant, privacy-safe answers to compliance queries and assists in incident response.

• AI Automation: Syncs evidence collection with cloud deployments to speed audit readiness.

• Multi-Framework Mapping: Automatically correlates controls and evidence across 40+ frameworks to eliminate redundancy.

• Zero-Trust AI Stack: Keeps compliance data fully encrypted and avoids external third-party dependencies.

These tools give enterprises automated visibility across complex environments and allow teams to shift from reactive reporting to proactive assurance.

A Strategic Boost From AWS and Meta

With access to Llama experts from both AWS and Meta, Strike Graph will be able to accelerate development around automated evidence collection, contextual risk analysis, and real-time compliance verification. For companies wrestling with sprawling regulatory demands, these enhancements could dramatically reduce manual workload and improve audit accuracy.

CEO Justin Beals says the recognition validates the company’s mission. “Joining the Building with Llama program allows us to push our AI capabilities even further, all in service of helping companies build and maintain trust with their customers,” he noted.

For AWS and Meta, investments like this also signal a broader trend: open-source LLMs are increasingly becoming the backbone of enterprise-grade automation. By selecting startups with deep technical foundations, the program aims to catalyze the next era of AI-native software—especially in highly regulated sectors.

Strike Graph’s inclusion suggests one thing clearly: in the race to modernize compliance, the companies tying AI directly into the foundation of their architecture will be the ones defining the category.

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