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
Cover image for AI Security Risk Assessment & Attack Surface Mapping
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.
FAQs

Contact for pricing
Duration1 week
Tags
AI Governance
Business Strategist
Cybersecurity Specialist
AI Risk Review
AI Security Assessment
Data Security
LLM Security
Model Security
Service provided by
Stephen Kisong'e Nairobi, Kenya
1
Followers
AI Security Risk Assessment & Attack Surface MappingStephen Kisong'e
Contact for pricing
Duration1 week
Tags
AI Governance
Business Strategist
Cybersecurity Specialist
AI Risk Review
AI Security Assessment
Data Security
LLM Security
Model Security
Cover image for AI Security Risk Assessment & Attack Surface Mapping
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.
FAQs

Contact for pricing