Control and evidence for the agent action path.
RazorShark Agent Guard is a synthetic four-module platform concept designed to help enterprise security teams discover AI agents, define least-privilege action policy, evaluate runtime behavior, and retain evidence.
RazorShark Security is a fictional company created by Luasai for product demonstrations. Products, scenarios, and company information are illustrative.
Product modules
- Discover: inventory agents, identities, APIs, and MCP-connected tools.
- Enforce: define policy for tools, data, and actions.
- Defend: evaluate prompt injection, tool misuse, unsafe execution, and sensitive-data exposure.
- Evidence: preserve reviewable decision context.
Initial profile
Primary category: Runtime Security. Supporting categories: Application Security, API Security, and Identity Governance. Initial buyers are security and AI platform leaders in regulated US and UK enterprises.