Use Case
Secure AI agents and MCP ecosystems
Agents turn language into actions. Make sure every action is authorized, observable and reversible.
Key risks
- Indirect prompt injection that hijacks an agent's goal
- Over-privileged tools and credentials shared across agents
- Malicious or compromised MCP servers and tool descriptions
- Cascading failures in multi-agent workflows
The Soteria approach
Least privilege by default
AgentShield scopes every tool call to the user, task and data in context.
AgentShield →Approvals for high-risk actions
Humans stay in the loop for payments, deletions and external communications.
AgentShield →Agent hijack testing
RedTeam simulates poisoned inputs and malicious tools against your agents.
RedTeam →Secure agent architecture
Our FDEs design and build agent workflows with security in from day one.
FDE Pod →Typical outcomes
Agents move from sandbox to production with clearly defined permissions, every action is traced end to end, and security teams can approve new tools and MCP servers through a repeatable process.