Secure the action, not only the answer.
An agent can turn generated output into a tool call, a data request, or a change inside an enterprise system. Agentic AI security extends application, API, and identity controls into that runtime action path.
RazorShark Security is a fictional company created by Luasai for product demonstrations. Products, scenarios, and company information are illustrative.
Five questions for every agent
- Who owns the agent and its identity?
- Which data and tools can it access?
- Which actions are allowed for this task and environment?
- Which runtime conditions require interruption or review?
- Which evidence must remain after the decision?
Designed outcomes
An inventory of agents, identities, tools, and owners; explicit policy for sensitive actions; runtime evaluation of unsafe paths; investigation context for autonomous behavior; and reviewable evidence for security and risk stakeholders. These are intended product outcomes, not measured customer results.