Threat Intelligence - AI Safety - Research

AI-Powered Intelligence for Critical Systems

We help governments, enterprises, and public institutions understand emerging risks, evaluate AI safety, and deploy trusted AI solutions - bridging the gap between frontier technology, public sector delivery and security.

Government & Defence AI Safety Evaluation Information Operations
A spin-out from University of Oxford Oxford University Innovation
01 - About

Research-led.
Operationally focused.
Secure AI systems.

pattrn.ai is a research and technology company operating at the intersection of AI safety, threat intelligence, and public sector resilience. Grounded in years of research experience at world-leading universities, we combine expertise in data science, machine learning, and open-source intelligence to identify risks that cut across traditional boundaries.

We are an Oxford University spin-out. Our team studies coordinated information campaigns, develops rigorous evaluation frameworks for frontier AI systems, and assesses AI-enabled simulation tools. We deliver structured, evidence-based intelligence to governments, public institutions, and allied partners - and we operate at the pace of the technology itself.

02 - Capabilities

One continuous AI workflow: monitor, evaluate, deploy.

From understanding the threat landscape to testing AI systems and deploying them safely, our products support every stage of the AI lifecycle.

01
Monitor - Threat Intelligence

Information environment monitoring.

Track coordinated information operations, cybercrime and radicalisation threats, and adversarial behaviours across open information spaces - with structured evidence, severity context, and early-warning signals.

Explore our live Information Operations Monitor
Information Operations Monitor
Information operations monitoring dashboard preview
Claim assessment
Analyst view of a claim assessment interface
02
Evaluate - AI Safety

Evaluation workflows for frontier AI risk.

Expert-in-the-loop evals and safety testing across branching conversations and synthetic social environments - from malicious misuse of AI models to inadvertent harm against vulnerable users.

Explore our InfoOpsBench safety benchmark
Conversation explorer
Conversation explorer evaluation workflow preview
Synthetic environments
Synthetic environments evaluation workflow preview
03
Deploy - Trusted AI

Deploy AI systems with confidence.

Our AI assurance toolkit evaluates whether AI systems are safe, ethical, accurate and aligned with organisational goals and values, enabling organisations to deploy trusted AI with confidence.

Assurance metrics
AI assurance dashboard showing model evaluation metrics
Harm dimensions
AI assurance harm dimensions dashboard preview
03 - Blog

Latest from the blog.

Research notes, talks, and publications from the pattrn.ai researchers.

View all posts
04 - Who we are

Team

Backgrounds in academic research, government, defence, and the technology industry.

Professor Philip Howard
Professor Philip Howard
CEO & Co-Founder

Strategic leadership and business development. Background in technology ventures, government partnerships, and scaling research-led organisations.

Dr. Jonathan Bright
Dr. Jonathan Bright
CTO & Co-Founder

Technical architecture and platform development for threat intelligence and AI safety. Former Head of AI for Public Services at the Alan Turing Institute.

Dr. Lisa-Maria Neudert
Dr. Lisa-Maria Neudert
COO & Co-Founder

Operations, delivery, and client engagement. Experience in managing complex programmes across government, defence, and intelligence settings.

Dr. John Gallacher
Dr. John Gallacher
Head of Threat Intelligence & AI Safety

Information operations monitoring and AI safety evaluation. Background in cyber security, government and military environments, and applied research.

Dorian Quelle
Dorian Quelle
Senior AI Security & Threat Intelligence Researcher

Machine learning research focused on AI safety evaluation and threat intelligence. Background in mathematical modelling and computational social science, with experience across academic research institutions.

Dr. Kye Allen
Dr. Kye Allen
AI Safety Researcher

Focused on counter-terrorism, political extremism, and AI safety. DPhil in International Relations from Oxford University, with experience spanning academia, industry, and policy research.

John Francis
John Francis
AI Data Engineer

Data scientist specialising in AI technologies, remote sensing applications and creating AI applications for the public sector.

Dr. Stephanie Cussans Moran
Dr. Stephanie Cussans Moran
Threat Analyst

Research on democratic harms across academia and industry. Background in digital and data analytics, tracking and analysis, and AI, with expertise in narrative analysis and cognitive literary theory.

Alex Hogan
Alex Hogan
Threat Analyst

Research and entrepreneurship focused on propaganda and social sciences. Background in physics and mathematics, with experience in modelling, analysis, and software design across multiple sectors.

Tvesha Sippy
Tvesha Sippy
AI Safety Researcher

Focused on AI safety evaluation across the fraud and deception landscape. MPhil in Criminology from Cambridge University, with experience in online safety, financial fraud and scams.

Dr. Bence Kollányi
Dr. Bence Kollányi
Threat Analyst

Research in AI applications for the social sciences. Background in large-scale social media data collection, automated systems, and propaganda analysis, with experience in teaching programming and machine learning methods.

We're hiring
Join the team

We are always on the lookout for talented individuals with experience in online safety or AI testing.

Get in touch