EgisAI
EgisAI provides a runtime control plane that governs AI agents in production, refusing risky tool calls, masking sensitive data, and auditing every action. The platform automatically fingerprints agents by system prompt, detects behavioral anomalies, and assigns trust scores without requiring code changes beyond a single SDK import. It supports major model providers and 14 agent frameworks, with 63 connectors for discovering AI running across SaaS platforms.
- Artificial Intelligence
- AI Agents
- Cybersecurity
- Developer Tools
- Enterprise Software
- Software Only
Funding
Founders
Product
Problem
AI agents in production can call tools that touch sensitive data, and without proper oversight, they may perform unauthorized actions such as issuing refunds, dropping database tables, or exfiltrating customer information. Organizations often discover these incidents only after a customer complaint, regulatory inquiry, or postmortem, leaving them exposed to data leaks and compliance failures.
Solution
EgisAI provides a runtime control plane that sits between AI agents and the tools they access, enforcing governance on every model call. The platform automatically discovers and fingerprints agents by their system prompts, then applies deterministic policies that can allow, mask, or block tool calls in real time. Sensitive data detection runs locally within the process, redacting 21 categories of regulated information before it leaves the environment. The system also builds behavioral baselines for each agent, detecting anomalies such as prompt-injection campaigns, runaway loops, and model degradation, while assigning trust scores that surface rogue agents at a glance.
Target Audience
Primary customers are security, platform, and AI engineering teams at enterprises running AI agents in production who need visibility into agent behavior, enforcement of tool-use policies, and audit evidence for compliance frameworks such as SOC 2, ISO 27001, GDPR, and HIPAA.
Features
- Automatic agent identity and provenance tracking via system-prompt fingerprinting, with no manual registration required
- Local sensitive-data detection and masking across 21 categories, with custom pattern support and fail-closed behavior if the detector errors
- Deterministic policy engine supporting tool allow-lists, deny patterns, action gates, and intent-based rules for enforcing boundaries
- Behavioral fingerprinting with Z-score drift detection on cadence, model affinity, tool-call signatures, and prompt-shape histograms
- Per-agent trust scores combining provenance, anomaly density, and policy alignment, plus behavioral twins to catch agents using leaked keys
- Runtime SDK patching for OpenAI, Anthropic, Google Gemini, AWS Bedrock, and 14 agent frameworks including LangChain, CrewAI, and AutoGen
- Inline gateway and egress nodes for governing calls from non-Python services, with encrypted key vault as an opt-in option
- 63 read-mostly connectors for discovering agents and assistants across SaaS platforms including Salesforce, Slack, GitHub, and Snowflake