Misdirected Email Prevention for Microsoft Exchange
A machine learning-powered add-in for Microsoft Exchange that helps stop emails to risky recipients. Through in-the-moment alerts your users are empowered to take corrective measures to prevent data exfiltration and reputational harm.
Fortify Exchange's's native protection
Enterprise-grade Outlook Add-in
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An intelligent ML-powered technical guardrail engineered for organizations of all sizes.
Customizable to your precise needs
Powerful protection out-of the-box that can be tailored to your demanding requirements.Prevent human error at the source
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Instant Protection
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Customized to Your Specs
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Bespoke Engineering and Deployment
Powerful prevention from day one
Need a solution that works instantly without configuration? Preava Prevent's cloud-native offering works directly out-of-the-box for Microsoft Exchange environments. Preava's proprietary algorithms deliver immediate protection while powerful machine learning-powered risky recipient detection enhances your protection over time.
Fine-tune with elective custom rules
Use robust rule templates and custom rules to tailor Preava Prevent to your exact specifications. Should you prefer configuration assistance, our implementation team will happily assist you in configuring rules during your implementation, or on an ongoing or as-needed basis.
All the capabilities you will ever need
Have unique or demanding requirements? No problem. Our team of cybersecurity and privacy experts and software engineers will gladly work with your team to customize, develop, and maintain your ideal solution — the only provider in the industry with such an offering.
The possibilities to configure and customize Preava Prevent are nearly endless. Typical areas we do bespoke work in include the following.
- Advanced requirements collection and analysis, and subsequent recommendation
- Custom rule configuration and development
- On-premise, private cloud, and other custom infrastructure deployments
- Product customization through custom engineering
Machine learning-powered risky recipient detection
Preava intelligently detects unusual email recipients through comparisons to expected email recipients based on historical behavior models and other factors. The modeling and analysis is performed across your entire organization, within each department, and at the individual user level.
Optional custom rules
Calibrate protection to your organization's specifications through optional custom rules to achieve your desired level of protection. Custom rules can be simple (e.g. alerting users of email recipients outside of approved domains) or based on powerful rule templates and complex logic.
Proprietary static algorithms
Preava's unique algorithms are engineered to flag risky email recipients from day one without any knowledge of your organization's historical emails and the email recipient patterns derived from them.
