STOPPING E-MAIL RISKS BEFORE THEY ARISE
AI-POWERED PREVENTION DIRECTLY IN THE E-MAIL WORKFLOW.
For IT decision-makers and security managers looking to reduce human error, minimise BEC risks and more reliably manage compliance.
For IT decision-makers and security managers looking to reduce human error, minimise BEC risks and more reliably manage compliance.
The biggest email risks are rarely obvious: sensitive data lands with the wrong recipient. Classic DLP solutions often react too late or too inaccurately. At the same time, attacks such as BEC or CEO fraud come from seemingly legitimate senders, remaining unnoticed for a long time as a result.
RaptorAl is the missing intelligence layer for your email security. It analyses context, behaviour, and relationships directly within the workflow and instantly orchestrates the appropriate protective measure if required.
The seamless integration in the email client avoids media breaks and portal constraints, and supports user acceptance and compliance in everyday life.
As a proactive security agent, RaptorAl prevents data leaks and identity misuse directly at the point of decision, before a critical email is sent.
The global protection horizon also recognises risks on the recipient side, such as compromised external accounts, and allows for the revocation of document access worldwide at the click of a button.
| Feature | CLASSIC SECURITY/GATEWAY | + WITH RAPTOR AI |
|---|---|---|
| Moment | Checks reactively after dispatch | Preventative: Real-time check in draft |
| Database | Focus on signatures and blacklists | Multimodal: Analysis of text, IPs & metadata |
| Identity | Hardly recognises sender misuse | Behavioural AI: Uncovering Anomalies & CEO Fraud |
| Shipping error | Usually overlooks misaddressings | Context-Check: Recipient & Content Alignment |
| Control | Stops rigidly or lets through | Orchestrator: Suggests RMail/RSign protection |
RaptorAl analyses each email draft semantically and multimodally (content, recipient, behaviour) before sending.
In the event of anomalies (e.g., unusual location or incorrect recipient role), a warning appears directly in the email client.
The user decides: send, correct, or block. The AI supports the human instead of patronising them with rigid automatisms.
The AI recognises sensitive content and directly suggests the appropriate follow-up action. For example, RMail encryption or an RSign signature.
Good. A gateway primarily protects the inbox. RaptorAl supplements this protection directly upon sending, recognising risks in user behaviour and context.
RaptorAl analyses risk-relevant signals at the shipping moment, without permanently storing content.
Right. Classic DLP usually works on a rule-based system. RaptorAl enhances it with context-sensitive risk detection directly at the point of decision.
