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AI Red Teaming

Stress test your AI against real-world threats

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AI misuse is happening now - and it's evolving

As Artificial Intelligence (AI) systems become more powerful and accessible, so do the opportunities for misuse. From chatbots to generative tools, organisations are increasingly facing challenges around how their systems can be manipulated, misled, or exploited.

Threat actors are already exploring and sharing ways to exploit AI to generate harmful, illegal, or misleading content. At the same time, today’s AI safety testing often relies on predefined test cases that don’t reflect the creative, evolving tactics often used by threat actors in the real world.

What is AI Red Teaming?

Our AI Red Teaming service is a simulated cyber and digital harms threat assessment built to uncover how adversaries could exploit your AI systems in the real world. We simulate credible, malicious use cases using threat actor techniques and real-world intelligence to stress test your models' resilience under pressure.

Our approach combines threat intelligence, adversarial emulation, and expert analysis to uncover hidden vulnerabilities in your systems and help our clients stay ahead of evolving threats.

Whether you’re deploying a generative chatbot, large language model, or multimodal AI interface, our structured and thorough approach helps to protect your organisation against high-impact misuse, including:

  • Child safety: Threat actors using AI to generate Child Sexual Abuse Material (CSAM) or facilitate the grooming of minors.
  • Violent extremism: Threat actors using AI to facilitate terrorism, such as encouraging others to commit acts of violence, or create extremist propaganda and recruitment material.
  • Scams and fraud: Threat actors using AI to facilitate online fraud including phishing, identity theft, and creating scam formats and scripts.

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Who is it for?

PGI’s AI Red Teaming service is designed for organisations deploying AI in ways that could impact users, business decisions, or sensitive data. If you’re using AI in high-risk scenarios this service is designed to stress test and protect those systems.

It’s especially crucial for organisations whose AI systems:
Are publicly accessible 
Handle sensitive, personal, or regulated data

Could be targeted for misuse or manipulation
Are relied on for decision making
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Our methodology

Our methodology for red teaming AI systems involves a structured and systematic approach to provide a comprehensive view of the potential risks your organisation faces:

Techniques

We use advanced techniques, including OSINT and threat emulation, to simulate threat actor behaviours and test AI guardrails. Our techniques also include monitoring AI model performance, analysing data integrity, and assessing system robustness to gather comprehensive intelligence on vulnerabilities.

Threat actor profiling

We build detailed profiles of relevant threat actors by examining their behaviours, methods, and goals. This includes analysing their tactics, techniques, and procedures (TTPs) to understand their strategies and motivations.

Analysis

We examine the methods used by threat actors to manipulate AI models, the platforms they use to disseminate malicious outputs, and the impact of their activities. 

We contextualise the impact of these behaviours on your specific operations and reputation to provide a comprehensive view of the potential risks your organisation faces.

Reporting

We provide detailed reporting including tailored recommendations for strengthening security postures, including best practice controls such as encryption, access controls, and incident response plans. 

Our recommendations are designed to protect against identified threats, ensuring that clients can safeguard their AI systems and data.

Why choose PGI?

Unlike automated platforms, we use a human-centric approach to simulating real-world adversaries in order to better capture the complexity and unpredictability of human behaviour.

By identifying exploitable behaviours, guardrail gaps, and unexpected outputs, our AI Red Teaming service helps you:

  • Reduce the risk of reputational, operational, legal, or ethical harm from AI exploitation
  • Build smarter safeguards and more resilient AI guardrails
  • Align your system’s outputs with safety, trust, and regulatory expectations
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