How teams use Tiresias

From startup AI assistants to enterprise agent fleets — secure every interaction, satisfy every auditor.

Use Case 1

Secure Multi-Agent Systems

The Problem

Your agents talk to each other, to APIs, and to data stores. Who authorized that?

The Solution

SoulAuth gives every agent a cryptographic identity and evaluates every request in real-time. No implicit trust, no blanket permissions - every interaction is verified against your policies before it executes.

Key Benefits

  • Agent-to-agent trust with cryptographic verification
  • Granular, attribute-based permissions
  • Full audit trail of every interaction

Built For

AI platform teamsMLOps engineers
Use Case 2

AI Compliance & Governance

The Problem

Regulators are asking about your AI agents' access patterns. Can you answer?

The Solution

Immutable audit trails, policy-as-code, and compliance-ready reporting. Every policy change is versioned. Every decision is logged. Every access pattern is queryable.

Key Benefits

  • Architecture designed for data protection by design
  • Auditor-friendly logs with tamper-evident integrity
  • Full policy version history with rollback

Built For

CISOsCompliance officersRegulated industries (finance, healthcare)
Use Case 3

Zero-Trust Agent-to-Agent Communication

The Problem

Traditional perimeter security doesn't work when agents are the perimeter.

The Solution

Every agent interaction requires a capability token. No standing permissions. No implicit trust. Tokens are scoped, time-limited, and cryptographically bound to the requesting agent's identity.

Key Benefits

  • Eliminate lateral movement between agents
  • Detect anomalous behavior in real-time
  • Automated quarantine of compromised agents

Built For

Security teamsSOC analystsInfrastructure engineers

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