Pattrn provides AI‑driven threat intelligence and safety evaluation services for governments, defence ministries, and other public sector organizations. It continuously monitors open‑source and social media data to detect coordinated information campaigns and assesses the robustness, alignment, and operational safety of frontier AI models. The company delivers structured intelligence reports and independent assurance testing to help decision‑makers prioritize risks and deploy AI systems with validated safety guarantees.
Funding
Funding not disclosed
Founders
Product
Problem
Governments and public sector organizations often lack timely, evidence-based insight into coordinated information campaigns, emerging AI risks, and the safety implications of deploying advanced AI systems, leading to delayed responses and potential security gaps.
Solution
Pattrn delivers AI‑driven threat intelligence and safety evaluation services tailored for critical public sector use. By continuously monitoring open‑source data, social media, and other online channels, the platform identifies adversarial narratives and information operations in real time. It applies rigorous, research‑backed frameworks to assess the safety, resilience, and performance of frontier AI models before they are integrated into operational environments. Structured intelligence reports and assurance testing enable decision‑makers to prioritize risks, design strategic countermeasures, and deploy AI agents with validated safety guarantees. The service operates at the pace of emerging technology, ensuring that public institutions can maintain security and trust in AI‑enabled systems.
Target Audience
Primary customers are government agencies, defence ministries, and public institutions that require advanced threat intelligence and AI safety assurance for critical operations.
Features
- Real‑time monitoring of information operations using machine‑learning pipelines that ingest and analyze open‑source and social media data
- Structured threat intelligence reports that map adversarial narratives, attribution, and potential impact on public sector assets
- Independent AI safety evaluation framework that tests model robustness, alignment, and compliance with sector‑specific risk criteria
- Assurance testing for AI deployment, including performance benchmarking, resilience assessment, and secure validation protocols
- Evidence‑based recommendations and actionable guidance for policymakers, defence planners, and enterprise security teams
- Integration of findings into existing security workflows via API and exportable analytical dashboards