

Unlike SEGs that rely on static rules, signatures, or domain reputation, Aegis AI continuously adapts to new attack patterns. Our AI agents evaluate sender behavior, language intent, and hundreds of other signals stopping sophisticated attacks like no-payload phishing and Adversary-in-the-Middle (AiTM) before they reach inboxes.
Traditional solutions fail against brand-new attacks. Aegis AI’s agents use real-time analysis, natural language understanding, and behavior signals to identify BEC and phishing emails the moment they appear — before they’re added to threat feeds or even if they’re leveraging trusted infrastructure.
Yes. By blocking advanced email threats pre-delivery and providing automated triage for suspicious messages, Aegis AI significantly reduces alert fatigue, freeing your team to focus on strategic initiatives.
Our platform combines deep expertise from >20 years combined building security products (reCAPTCHA, Safe Browsing, Web Risk and more) with cutting-edge AI to deliver unmatched protection, lower false positives, and effortless integration — ensuring your business stays secure without slowing operations.
Deployment is API-based, requiring no hardware, MX changes, network changes, or complex policies. Admins can set up the platform in under 30 minutes and leverage a simple dashboard for insights and automated response workflows. This makes it ideal for either teams wanting to spend time on critical projects vs alerts or smaller businesses who can’t rely on a dedicated team to run their security.
Aegis AI can analyze patterns and behaviors in emails, recognizing anomalies that might suggest a phishing attempt even if it's a new or sophisticated attack that hasn't been seen before. This proactive approach allows for a more dynamic defense against evolving threats.
In contrast, traditional methods may miss these novel attacks since they depend heavily on existing databases of threats. Additionally, AI can continuously learn from new data, improving its accuracy over time, while traditional methods typically require manual updates to adjust to new phishing tactics.
AI-based email protection leverages advanced algorithms and machine learning to detect and respond to BEC threats in real time, whereas traditional email security platforms often rely on predefined rules and signatures to identify known threats.
Aegis AI can analyze patterns and behaviors in emails, recognizing anomalies that might suggest a BEC attempt even if it's a new or sophisticated attack that hasn't been seen before. This proactive approach allows for a more dynamic defense against evolving threats.
In contrast, traditional methods may miss these novel attacks since they depend heavily on existing databases of threats. Additionally, AI can continuously learn from new data, improving its accuracy over time, while traditional methods typically require manual updates to adjust to new email threats.





