Cybersecurity
AI red teaming
Where an assessment follows a checklist of risks, an AI red team picks goals, such as extracting another customer’s data or making an agent send money, and tries to reach them with whatever works.
The problem this service solves
Defenses that look sound in design often fail against creative input: encoded instructions, multi-turn manipulation, instructions hidden in documents, role-play, or abuse of tools that were not designed for hostile callers. Static checklists miss these.
A red team exercise gives you a realistic estimate of effort and impact, and produces concrete attack transcripts that engineers can turn into regression tests.
What is in scope
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Objectives
Specific harms agreed with you: data theft, unauthorized actions, policy bypass, fraud, abuse of cost.
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Attack library
Direct, indirect, multi-turn, encoded and multimodal techniques, adapted to your system.
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Tool and integration abuse
Chaining model weaknesses with weaknesses in connected tools and APIs.
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Guardrail evaluation
How filters, classifiers and policy prompts perform, and what bypasses them.
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Monitoring and response
Whether abuse is detected and how your team responds.
How the work runs
Plan
Define harms.
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1
Objective workshop
Agree what must not happen and rank the harms.
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2
Rules of engagement
Authorization, test data, rate limits, content boundaries and stop conditions.
Attack
Pursue objectives.
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3
Exploration and exploitation
Probe the system, develop working attacks and chain them.
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4
Checkpoints
Share progress and safety concerns with your contacts.
Improve
Turn into controls.
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5
Report and workshop
Walk through attacks and prioritize mitigations.
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6
Regression suite
Provide attack cases for continuous testing.
What you receive
- Executive summary against agreed objectives
- Attack transcripts and techniques
- Mitigation priorities
- Regression test cases for your pipeline
- Workshop with your team
Tooling and technique
Tool categories describe how we work. They are not a claim of vendor partnership or certification.
Standards we map to
Mapping findings to a framework is not the same as certification against it.
Before we start
What we need from you
- Objectives and harm priorities
- Test environment and accounts
- Contact for safety concerns during testing
What this service is not
- Fairness or bias auditing
- Model safety evaluation for a model provider
What changes afterwards
- You know which harms are reachable and at what effort
- Mitigations rest on evidence
- Regression tests keep fixes in place
Questions people ask
How is this different from an LLM assessment?
An assessment systematically reviews risk categories. A red team works toward specific goals and goes deeper on the paths that look promising.
Will you generate harmful content?
Only what is needed to show a weakness, within agreed boundaries. Sensitive content is handled and stored under the rules of engagement.
Related
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LLM security assessments
Test chatbots, copilots and LLM-backed features for prompt injection, data leakage, unsafe output handling and excessive permissions.
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Red teaming
Objective-based adversary simulation that tests people, process and technology together against a realistic attacker over several weeks.
Need to understand your security exposure?
Speak with a security expert
Talk through your environment and goals. We reply to scope the work before anything is tested.
Speak with a security expertPlan an assessment
Answer a few questions and get a structured preliminary scope you can send us.
Use the plannerUnder attack right now?
Call the US office and tell us what you are seeing. Do not wait for a form reply.
Incident response