AI Security and Privacy

AI Agent Red Team

Challenge the boundaries that matter to your workflow. Test agreed attack scenarios against agent instructions, tools and data access.

Test hostile paths inside an agreed authorisation boundary

Untrusted content
Locate the entry point for the agreed attack scenario.
Agent authority
Identify which privileged action the content may influence.
Tool effect
Inspect the attempted disclosure or state change.
Containment rule
Define stop conditions and evidence handling in advance.
The scope, team and timing are agreed before an engagement begins.

Engagement boundary

Agree the work and its boundaries together

The engagement boundary

In scopeUntrusted content
Define authorised targets, attack scenarios, stop conditions and evidence handling.
DependencyAgent authority
The inputs, authorised access and client participants are confirmed before scheduling.
Client responsibilityAuthorised test owner
Retains organisational decisions and risk acceptance.
BoundaryAdditional implementation
A retest covers agreed remediations rather than an unlimited second campaign. Live incident response, exploit publication and testing of third-party systems are not included without separate authorisation.
Only the agreed workflow, environments and activities form the engagement.

What the work covers

  • Define authorised targets, attack scenarios, stop conditions and evidence handling.
  • Exercise agreed prompt-injection, tool-abuse and disclosure scenarios.
  • Reproduce material findings and propose scoped mitigations and retests.

Scope boundaries

  • Formal certification, legal conclusions and guarantees of safe or compliant behaviour.
  • Implementation or ongoing operation beyond the agreed scope.
  • A retest covers agreed remediations rather than an unlimited second campaign. Live incident response, exploit publication and testing of third-party systems are not included without separate authorisation.

Decision and fit

Test hostile paths inside an agreed authorisation boundary

Compare the engagement with the decision you face

Useful decisionA question worth resolving
Test hostile paths inside an agreed authorisation boundary.
NeededAn accountable participant
Security leads who need adversarial evidence about specific ways an agent could misuse tools, expose data or cross an authority boundary.
PrerequisiteInspectable source material
The relevant owners can make workflow evidence and agreed inputs available for examination.
Different needA scope mismatch
The requested outcome is a guarantee that attacks can never succeed.
Discuss fit and prerequisites together; a different need may require a separately scoped engagement.

The engagement

Challenge the boundaries that matter to your workflow. Test agreed attack scenarios against agent instructions, tools and data access. A time-bounded, authorised adversarial exercise with named targets, scenario priorities and stop conditions.

The decision at stake

Happy-path testing leaves unanswered questions about hostile content, tool abuse and unintended disclosure.

Suitable situations

  • Security leads who need adversarial evidence about specific ways an agent could misuse tools, expose data or cross an authority boundary.

Less suitable situations

  • The requested outcome is a guarantee that attacks can never succeed.

Working sequence

How the work moves from question to handover

What each stage should leave your team with

  1. Agree the attack surface

    Authorised surfaces and stopping rules.

  2. Construct attack hypotheses

    Attack hypotheses tied to business consequences.

  3. Execute controlled probes

    Attempt records and observed business effects.

  4. Reproduce and debrief

    Reproducible findings and focused retests.

The sequence is tailored to the agreed workflow, evidence and acceptance criteria.

How the work proceeds

  1. Agree the attack surface. Name trusted and untrusted inputs, tools, memory stores and business effects within the authorised boundary.
  2. Construct attack hypotheses. Prioritise injection, delegated-authority abuse, data disclosure and persistence scenarios relevant to the workflow.
  3. Execute controlled probes. Record each attempt, evidence and resulting state; stop or escalate when the agreed limits are reached.
  4. Reproduce and debrief. Validate material findings, explain impact and provide scoped mitigations with retest cases.

Worked situation

Follow one situation through to a bounded next decision

Illustrative working situation

Illustrative scenario

  1. Starting condition

    A retrieved document asks an agent to send records elsewhere.

  2. Question to examine

    Exercise the authorised scenario and inspect the tool request.

  3. Possible next action

    Record the observed path and define a scoped mitigation retest.

Constructed example of the reasoning; no result or client engagement is claimed.

Decision artefacts

Leave a record the next owner can use

Attack finding

Illustrative working format

Subject and version
Identify the workflow, configuration or proposal examined.
Untrusted content
Record the relevant requirement and supporting material.
Tool effect
State the observation, supporting evidence and remaining uncertainty.
Authorised test owner
Record the next decision, follow-up and unresolved question.
Illustrative structure; final deliverables are agreed for each engagement.

What the work can produce

  • Authorised attack scenario plan
  • Reproducible findings with traces
  • Prioritised mitigations and retest cases

Working together

Your team and our team need a clear working agreement

Who contributes and who decides

Client sponsor
Confirms the decision, priorities and people needed to resolve it.
Client technical or process owner
Provides the agreed evidence, access and review of findings or deliverables.
Softlander delivery lead
Coordinates the agreed activities, review points, handover and open actions.
Authorised decision-maker
Accepts deliverables against the agreed criteria and separately decides operational or business action.
Client owners retain business, release and risk-acceptance decisions.

What the work depends on

  • The system owner supplies a representative environment, synthetic or approved data, architecture context and an escalation contact. Written rules of engagement define allowed techniques, off-limits systems and how to stop testing.

Engagement availability

The start date, named delivery roles, review points and fee basis are agreed after confirming the inputs and scope. Duration depends on evidence access, system complexity and the time your decision-makers need to review the work.

Engagement and handover

Agree the delivery model and what completion means

A clear agreement from scope to ownership

Scoped work
Define authorised targets, attack scenarios, stop conditions and evidence handling.
Indicative handover
Authorised attack scenario plan; Reproducible findings with traces
Review and acceptance
Review the agreed deliverables and record any open items, owners and conditions.
Ongoing work
Assign maintenance and operational ownership; agree additional scope and coverage explicitly.
The statement of work confirms milestones, review responsibilities, fees and change control before the engagement starts.

A time-bounded, authorised adversarial exercise with named targets, scenario priorities and stop conditions.

Material findings include the tested configuration, attack path, observed effect and reproducibility conditions. The debrief distinguishes demonstrated behaviour from plausible but unconfirmed paths and assigns remediation owners.

A retest covers agreed remediations rather than an unlimited second campaign. Live incident response, exploit publication and testing of third-party systems are not included without separate authorisation.

Relevant reading

A little more clarity

Questions worth asking.

Start with the questions that shape a better decision.

When is AI Agent Red Team useful?

Happy-path testing leaves unanswered questions about hostile content, tool abuse and unintended disclosure. Security leads who need adversarial evidence about specific ways an agent could misuse tools, expose data or cross an authority boundary.

How would we engage your team?

A time-bounded, authorised adversarial exercise with named targets, scenario priorities and stop conditions. The statement of work confirms the deliverables, review points, fee basis and responsibilities before work begins.

What does our team need to contribute?

The system owner supplies a representative environment, synthetic or approved data, architecture context and an escalation contact. Written rules of engagement define allowed techniques, off-limits systems and how to stop testing.

How do we accept the work and take ownership?

Material findings include the tested configuration, attack path, observed effect and reproducibility conditions. The debrief distinguishes demonstrated behaviour from plausible but unconfirmed paths and assigns remediation owners.

What happens after the engagement?

A retest covers agreed remediations rather than an unlimited second campaign. Live incident response, exploit publication and testing of third-party systems are not included without separate authorisation.

How are timing and fees agreed?

We scope the work around the evidence and access available, technical complexity and the people needed for review. The proposal confirms milestones and whether fees are based on a defined scope, agreed delivery capacity or a recurring remit. Extra workflows, tests or integrations are agreed as changes rather than assumed to be included.

Discuss ai agent red team

Tell us about the decision you are facing and we will confirm whether this service is the right starting point.