Cyvora / AI security assessment
AI security assessment
Understand the risks of AI tools and integrations before they become part of everyday operations.
What we assess
Secure AI use.
Clearer boundaries.
AI adoption can introduce new paths for information disclosure, unauthorised actions and misuse. Cyvora’s AI security assessment can review the tools your team uses, the information they handle and the permissions they can exercise.
- AI use cases, approved tools and shadow AI adoption
- Data flows, sensitive information and provider settings
- Authentication, access permissions and connected tools
- Prompt injection and unsafe output handling in an authorised test scope
- Logging, human oversight and incident escalation
- Governance, privacy responsibilities and third-party dependencies
Scope & outcomes
Know what to
address first.
For small & medium businesses
Start with staff-facing AI tools, acceptable-use rules, information sharing and access. Prioritise practical controls that a lean team can maintain.
For enterprise organisations
Review AI applications, integrations and tool-enabled workflows across business units. Coordinate technical testing with governance, privacy and operational ownership.
Deliverables to agree
- An AI use-case and data-flow inventory
- A prioritised AI security risk register
- Technical findings where testing is authorised
- A remediation roadmap with owners and recommended controls
Testing targets, access, exclusions and evidence handling are agreed before work begins.
Planning your engagement
Review AI applications, agents and connected data
An AI security review should follow the actual use case. For staff-facing tools, the priorities may include approved use, information sharing and access. For a retrieval-augmented generation (RAG) application, review which sources can be retrieved and whether permissions are enforced. For tool-enabled agents, examine what actions the agent can take and where human approval is required. Technical testing and governance review answer different questions, so the scope should explain which activities are included.
What to prepare before we start
Inventory the AI tools, models, integrations and data sources in scope. Identify system owners, permissions, providers and high-impact actions. Agree test environments, written authorisation and data handling before any adversarial testing; avoid using live confidential information as test material unless specifically approved.
AI security questions
What does an assessment cover?
Does this include AI penetration testing?+
It can include scoped adversarial testing of AI applications or integrations where explicitly authorised. A governance-only review and technical testing have different scopes; confirm which work is required.
Does an assessment certify that an AI system is safe?+
No. An assessment identifies risks and recommended controls within a defined scope. It does not establish that every risk has been found or provide certification.
Which AI frameworks can inform the work?+
NIST AI RMF and ISO/IEC 42001 can inform governance and risk management. They complement technical security testing and should be selected for the use case and intended outcome.