AI Security Risk Assessment & Attack Surface Mapping by Stephen Kisong'eAI Security Risk Assessment & Attack Surface Mapping by Stephen Kisong'e
AI Security Risk Assessment & Attack Surface MappingStephen Kisong'e
I help organizations map and understand the security risks around their AI systems, models, tools, APIs, data flows, and integrations.
This service is designed for companies that are adopting AI but need a clear picture of where risk exists. Many AI systems are connected to sensitive data, internal tools, APIs, user accounts, cloud services, or third-party models. Those connections create attack paths that should be reviewed before attackers or misuse exposes them.
The assessment may include AI asset discovery, model/provider review, data flow review, API and tool exposure, permission risks, third-party dependency concerns, prompt/data handling risks, and high-level AI security recommendations.
You receive a clear risk summary, priority findings, and a practical roadmap for reducing AI security exposure.
Client Requirements:
Provide system overview, AI tools/models used, data sources, APIs, access roles, integrations, architecture notes, and your main security concerns.
I help organizations map and understand the security risks around their AI systems, models, tools, APIs, data flows, and integrations.
This service is designed for companies that are adopting AI but need a clear picture of where risk exists. Many AI systems are connected to sensitive data, internal tools, APIs, user accounts, cloud services, or third-party models. Those connections create attack paths that should be reviewed before attackers or misuse exposes them.
The assessment may include AI asset discovery, model/provider review, data flow review, API and tool exposure, permission risks, third-party dependency concerns, prompt/data handling risks, and high-level AI security recommendations.
You receive a clear risk summary, priority findings, and a practical roadmap for reducing AI security exposure.
Client Requirements:
Provide system overview, AI tools/models used, data sources, APIs, access roles, integrations, architecture notes, and your main security concerns.