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As generative AI becomes more and more central to business operations, it brings with it a new wave of threats, from prompt injections and logic flaws to data leaks and infrastructure compromise. Such risks can lead to serious disruption if left unchecked.
Group-IB’s AI Red Teaming service helps detect and close vulnerabilities before they can be exploited. Our team simulates real-world adversarial behavior to assess how your AI applications perform under pressure and provide clear, actionable insights that will strengthen your defenses.
The Group-IB team examines various layers of your GenAI stack, with a focus on exploitable behavior, system misconfigurations, and high-impact risks.
Test your LLM’s resilience to crafted prompts that bypass system controls and extract sensitive data.
Evaluate how your system handles malicious inputs designed to cause unexpected behavior or result in unintended information disclosure.
Detect threats from tainted training data that could introduce backdoors or hidden behavior.
Identify vulnerabilities from third-party models, APIs, and datasets.
Determine how easily attackers could extract information about sensitive models: system prompts, training data, internal parameters, and proprietary implementation details.
Make the most of key insights that will help you secure your GenAI future. Explore how attackers are weaponizing AI — and how defenders can fight back. Get expert tips, stats, and a readiness test to help you assess and improve your AI security strategy.
More than 20 years of experience in incident response, threat hunting, and red teaming
In-depth AI-specific methodology aligned with the OWASP Top 10 standard, Gartner AI TRiSM, MITRE ATT&CK® ATLAS, ISO 42001, and NIST AI RFM
Trusted by leading enterprises in fintech, SaaS, and critical infrastructure
Multidisciplinary team combining cybersecurity, ML engineering, and threat intel
Engagements that are customized to your architecture, goals, and risk landscape
Long-term experience in building secure AI-powered solutions
AI Red Teaming is a specialized security service that simulates real-world attacks to detect and eliminate vulnerabilities in your GenAI systems. It targets AI-specific risks and helps you strengthen your models, applications, and infrastructure against real-world threats.
Traditional Red Teaming involves human-driven attack simulations targeting physical systems, networks, and endpoints. AI Red Teaming, by contrast, targets generative AI technologies, including large language models (LLMs), AI APIs, and supporting infrastructure. AI Red Teaming uncovers risks unique to your GenAI use cases that standard assessments may miss.
Vendor vetting addresses generic risks. However, your specific configurations, integrations, and business logic can introduce new vulnerabilities. Group-IB’s AI Red Teaming uncovers context-specific risks such as prompt injection, data leakage, or logic flaws in how your systems interact with LLMs.
Our team works in five phases:
You can purchase Group-IB AI Red Teaming as a standalone service or receive it at no additional cost if you have unused hours in your Service Retainer.
No. All testing is performed responsibly. We tailor the scope to your environment and run all assessments in a way that ensures zero disruption to production systems or model integrity.
Yes. Our findings are aligned with leading AI and cybersecurity frameworks including:
