Your AI is smart enough to read your database,
but is it trustful enough to execute actions?
Ship any Autonomous Agents into your production systems without the fear of data breach, AI hallucinations and out-of-bound executions. The AI can already read and write within your database. Authorize it before it exposes your sensitive information.
System prompts are not firewalls.
The more autonomous your AI becomes, the higher the blast radius. You cannot rely on English-language instructions to secure a network-level execution.
| AI Autonomy Level | Use Case | The Trust Gap | Security Required |
|---|---|---|---|
| Level 1: Read-Only | Q&A Chatbots, Internal Knowledge Bases | Leaking sensitive documents or PII. | Prompt engineering & data masking. |
| Level 2: Human-in-the-Loop | Copilots, Draft Generators | Writing destructive code or emails, but a human hits "Send." | Standard OAuth & human validation. |
Level 3: Fully Autonomous | Agentic Swarms, MCP-enabled workers | The AI hallucinating an API call and executing it silently. | Network-Layer Auth (Aegis) |
Log and determine every action of your Agent.
Stop hoping your agent behaves. Start enforcing it at the network edge.
Absolute Visibility
See exactly what payloads your agents are attempting to fire in real-time. Aegis intercepts the traffic before it hits your database, giving you an immutable audit log of every autonomous decision.
Hard Boundaries
Cap the blast radius. Define strict execution limits—like maximum refund amounts or specific read-only tables—that the agent simply cannot bypass, no matter how confused its context window gets.
Fearless Deployment
Let your swarm run. If an agent gets compromised by a malicious prompt and tries to exfiltrate data, the payload vaporizes at the authorization layer. Your infrastructure remains completely untouched.
5 minutes to trust.
Aegis deploys as a stateless sidecar proxy. No heavy SDKs, no database migrations. Just a seamless bridge between your agent and your API.