AegisAI website screenshot

AegisAI

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.

AegisAI is profiled on the APIs.io network. Tagged areas include Company, Artificial Intelligence, Email Security, Cybersecurity, and Anti-Phishing.

AegisAI’s developer surface includes engineering blog, signup flow, and 8 more developer resources.

16.2/100 emerging ▬ flat Agent 0/100 human only Full breakdown ↓
scored 2026-08-21 · rubric v0.12.0
0 APIs
CompanyArtificial IntelligenceEmail SecurityCybersecurityAnti-PhishingThreat DetectionAgentic AIMicrosoft-365Google WorkspaceEmail

Kin Score

Kin Score Kin Score How this is scored →
scored 2026-08-21 · rubric v0.12.0
Composite quality — 16.2/100 · emerging
Contract Quality 0.0 / 25
Developer Ergonomics 0.5 / 20
Access Clarity 10.0 / 20
Operational Transparency 0.0 / 13
Contract Governance 0.0 / 12
Discoverability 5.7 / 10
Agent readiness — 0/100 · human only
Machine-Readable Contract 0 / 18
Agentic Access Contract 0 / 10
Documented Reversibility 0 / 6
MCP Server 0 / 12
Machine-Readable Auth 0 / 10
Idempotency 0 / 9
Stable Error Semantics 0 / 8
Request/Response Examples 0 / 7
Rate-Limit Signaling 0 / 7
Typed Event Surface 0 / 6
Agent Skills 0 / 5
Well-Known Catalog 0 / 4
Consent & Bot Identity 0 / 3
A2A Agent Card 0 / 8
Dry-Run / Simulate Mode 0 / 4
Improve this rating by publishing the missing artifacts — every area above can be raised, and the full rubric is at apis.io/rating/. This rating is computed from github.com/api-evangelist/aegisai: open an issue to ask a question, or submit a pull request to add artifacts. Want it done for you? Prioritized profiling — $2,500 →

Security Posture 2

Authentication, domain security, vulnerability disclosure, and trust-center signals.

Aegisai Domain Security

TLSv1.3 · HSTS · DNSSEC · DMARC

SECURITY

Aegisai Trust Center

SOC 2 Type II

SECURITY

Resources

Get Started 1

Portal, sign-up, and the first successful call

Agent Surfaces 1

MCP servers, agent skills, and machine-readable catalogs

Access & Security 4

Authentication, authorization, and security posture

Commercial 2

Pricing, plans, and the legal terms of use

Company 2

The organization behind the API

Source (apis.yml)

apis.yml Raw ↑
aid: aegisai
name: AegisAI
description: 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.
url: https://raw.githubusercontent.com/api-evangelist/aegisai/refs/heads/main/apis.yml
x-type: company
x-source: accel-portfolio
x-tier: stub
x-tier-reason: portfolio-lead
accessModel:
  pricing: unknown
  onboarding: unknown
  trial: false
  try_now: false
  public: false
  label: Unknown
  confidence: low
  source: []
  generated: '2026-07-22'
  method: derived
specificationVersion: '0.23'
created: '2026-07-17'
modified: '2026-07-17'
tags:
- Company
- Artificial Intelligence
- Email Security
- Cybersecurity
- Anti-Phishing
- Threat Detection
- Agentic AI
- Microsoft-365
- Google Workspace
- Email
tags_raw:
- Company
- Ai
- Email Security
- Cybersecurity
- Anti-Phishing
- Threat Detection
- Agentic AI
- Microsoft 365
- Google Workspace
- Email
image: https://www.aegisai.ai/favicon.ico
apis: []
maintainers:
- FN: Kin Lane
  email: kin@apievangelist.com
- FN: APIs.json
  email: info@apis.io
common:
- type: Website
  url: https://www.aegisai.ai/
- type: Blog
  url: https://www.aegisai.ai/blog
- type: SignUp
  url: https://www.aegisai.ai/book-demo
- type: PrivacyPolicy
  url: https://www.aegisai.ai/privacy-policy
- type: TermsOfService
  url: https://www.aegisai.ai/tos
- type: TrustCenter
  url: https://trust.aegisai.ai/
- type: Compliance
  url: https://trust.aegisai.ai/
- type: TrustCenter
  name: Trust Center profile
  url: security/aegisai-trust-center.yml
- type: DomainSecurity
  url: security/aegisai-domain-security.yml
- type: LLMsTxt
  url: llms/aegisai-llms.txt
x-enrichment:
  date: '2026-07-19'
  status: backfilled
  pass: local-v1
  note: backfilled from .gitignore signal + verified work evidence

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