Scope & authorize
Agree on objectives, owners, boundaries, exclusions and the evidence needed to answer the question.
Assess new capabilities before risk scales.
Assess security risks introduced by AI-enabled applications, data flows, and modern technology integrations.
Illustrative imageOverview
Organizations adopting AI-enabled tools face familiar infrastructure risks and new application-level failure modes. Scoped assessments can examine trust boundaries, sensitive-data handling, integrations, and abuse cases.
An assessment is time- and scope-bounded. Findings describe the tested conditions; they do not establish the absence of all vulnerabilities or guarantee a security outcome.
What the engagement examines
- AI application threat modeling
- Prompt injection and misuse scenario assessment
- Secrets and sensitive-data exposure review
- Agent, plugin, and external tool trust boundaries
- Secure deployment and governance recommendations
The work in practice
Map what the model can read, what tools it can call and which actions require human approval. Test the application boundary, not only the quality of model answers. A retrieved document should not acquire permission to change system behavior merely because it appears in context. Record evaluation inputs, observed outcomes and limitations. Recommendations may include narrower permissions, explicit approvals and validation outside the model rather than more prompt wording alone.
Useful outputs. Not vague assurances.
- AI threat model and scope summary
- Observed risk scenarios and evidence
- Guardrail and design recommendations
- Prioritized remediation and validation plan
What you receive
- Understand risks beyond ordinary app testing
- Clarify boundaries for data and tool access
- Support responsible AI deployment choices
Clear decisions. Traceable delivery.
Review & validate
Perform the authorized work and record observations. Escalate critical findings through the agreed channel.
Explain & prioritize
Connect technical observations to business impact, practical actions and remaining uncertainties.
Handover & follow up
Review findings with your team and agree on any implementation or retest as a separate, traceable step.
Your workflow, connected.
Request receivedValidate the inputReview
Human approvalReview exceptionsReview
Update the systemRecord the outcomeReview
Insights
Business automation that stays under control.
A successful workflow needs more than a working demo. Design the permissions, exceptions, evidence and recovery path before allowing software to act on your behalf.
Read Full GuideBefore we get started.
Service scope, delivery terms and availability are agreed individually.
Is AI security testing different from normal app testing?
AI-enabled applications add concerns such as prompt injection, untrusted content, data leakage, and agent actions alongside conventional application flaws.
Do you certify AI models as safe?
No. An assessment evaluates defined risks and controls and is not a blanket safety or compliance certification.
What is needed before an engagement starts?
A confirmed scope, authorized owners, relevant access and agreed operating constraints. We do not begin intrusive testing based only on a general enquiry.
Will an assessment automatically change production systems?
No. Assessment and implementation are separate permissions. Any change requires approval, validation and an appropriate recovery plan.
Connected expertise.
IoT & OT Security Reviews
Risk-focused reviews for connected devices, operational networks, and technology with uptime constraints.
View Service DetailsRed Team Operations
Objective-led adversary emulation to test how people, processes, and technology respond to realistic attack paths.
View Service DetailsBlue Team Defense
Improve monitoring, detection logic, investigative workflows, and day-to-day defensive readiness.
View Service DetailsLet’s make technology work better for you.
Tell us about the problem, the project or the next step. We’ll start with the scope — not a one-size-fits-all package.