Agentic Securtiy #2
Description
Feature Request
Agentic securrity
Contact Information
- Name: Taariq Lewis
- Company: VolumeFi
- Email: taariq@volume.finance
- Current Database Provider: Supabase
- Segment: saas
Conversation Transcript
User: What about agentic security?
SerenAI: Great question! SerenDB has agent-context security features specifically designed for AI workloads:
Prompt Fingerprinting - Detects potential injection attempts by analyzing SQL queries for suspicious patterns that might indicate prompt injection attacks. This is crucial when LLMs are generating database queries.
Context-Aware Policies - You can set security policies that understand the context of AI agent operations, allowing you to restrict what agents can do based on their role or the type of request.
Isolated Execution Environments - Each branch provides isolation, so you can run agent experiments or testing in separate branches without risking production data. This is especially useful for testing agent behavior before deployment.
These features work together to help you safely deploy AI agents that interact with your database, while protecting against common AI-specific security risks like prompt injection and unauthorized data access.
Are you building an AI agent that needs to interact with a database? I can provide more specific guidance on securing that setup.
Submitted: 2025-10-14T06:35:30.678Z
Source: serendb.com/landing