# AegisAI

**Canonical:** https://apis.io/providers/aegisai/  
**Website:** https://www.aegisai.ai/  
**APIs profiled:** 0

AegisAI is an AI-native email security platform that deploys a network of autonomous AI agents to detect and stop advanced inbound email threats — spear phishing, business email compromise (BEC), zero-day phishing, malicious attachments, and QR-code attacks — before they reach the inbox. It integrates with Microsoft 365 and Google Workspace via API in about five minutes with no MX record changes, can run in monitoring mode, provides explainable incident response with Indicators of Compromise for CISOs, and reduces false positives by up to 90%. Founded by former Google Safe Browsing, reCAPTCHA, and Web Risk leaders Cy Khormaee (CEO) and Ryan Luo (CTO), AegisAI raised a $13M seed round co-led by Accel and Foundation Capital in 2025 and is SOC 2 Type II certified.

## Kin Score — 16.2 / 100 (emerging)

Scored 2026-08-21 under rubric 0.12.0. Trend: flat (+0.0 from 16.2).

| Facet | Score |
|---|---|
| Discoverability | 57.4 |
| Contract Quality | 0.0 |
| Governance | 0.0 |
| Contract Governance | 0.0 |
| Operational Transparency | 0.0 |
| Developer Ergonomics | 2.4 |
| Commercial Clarity | 50.0 |
| Access Clarity | 50.0 |

## Agent readiness — 0.0 (human-only)

| Dimension | Value |
|---|---|
| Spec Presence | no |
| Agentic Access | no |
| Reversibility Documented | no |
| MCP Server | no |
| Auth Clarity | no |
| Idempotency | no |
| Error Semantics | no |
| OpenAPI Examples | no |
| Rate Limit Signal | no |
| Event Surface Described | no |
| Agent Skills | no |
| Well Known Catalog | no |
| Consent Identity | no |
| Agent Card | no |
| Dry Run Mode | no |

## Access

Unknown — onboarding: unknown, pricing: unknown, trial: no (confidence: low).

## Security (2)

- **Aegisai Domain Security** — TLSv1.3 · HSTS · DNSSEC · DMARC
- **Aegisai Trust Center** — SOC 2 Type II

## Tags

Company, Artificial Intelligence, Email Security, Cybersecurity, Anti-Phishing, Threat Detection, Agentic AI, Microsoft-365, Google Workspace, Email

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Profiled by [API Evangelist](https://apievangelist.com) and published on [APIs.io](https://apis.io/providers/aegisai/). Scores are computed from the provider's own public artifacts under a published rubric.
