AI Security
Separate AI for security operations from security for AI systems.
Why it matters
AI security covers the protection of models, applications and agents against threats such as prompt injection, unsafe tool use, data leakage and adversarial manipulation. AI can also be used inside security operations to correlate findings, explain risk and assist analysts.
What a mature approach looks like
These are related but distinct capabilities. A mature platform should clearly explain which AI functions improve security operations and which capabilities assess AI systems themselves.
What to consider
For enterprise adoption, evaluate data handling, model hosting, approval controls, auditability and whether sensitive security data can remain inside the customer environment.
See exposure management in action
Explore how Sakeon connects discovery, correlation, validation, quantification and remediation.
See Sakeon