As of May 2026, there are 9 SaaS companies in Intelligent Email Protection Software. They have combined revenues of $271.7M and employ 1.9K people. They have raised $726.3M and serve 11.9K customers combined.
Intelligent Email Protection Software refers to a category of solutions designed to safeguard email communication within organizations. These tools play a crucial role in preventing cyber threats such as phishing attacks, malware, spam, and business email compromise. By utilizing advanced algorithms and threat intelligence, these solutions detect and neutralize potential threats before they can cause harm. The primary use cases for Intelligent Email Protection Software include securing email gateways, protecting sensitive information from unauthorized access, and ensuring compliance with industry regulations. Typical features often include real-time threat detection, machine learning capabilities, advanced filtering mechanisms, and user-friendly dashboards for monitoring and reporting. Common buyer personas include IT security professionals, compliance officers, and organizational leaders focused on risk management and data protection.
Sorting: Highest -> Lowest
Showing 10 of 9 companies ranked by annual revenue.
San Francisco, California, United States
Abnormal Security is the leading AI-native human behavior security platform, leveraging machine learning to stop sophisticated inbound attacks and detect compromised accounts across email and connected applications.
Hem, France
Developer of a predictive email defense platform intended to improve email security. The company's platform leverages artificial intelligence, fed by data from 600 million mailboxes, to detect threats such as spam, malware and phishing links and block them in real-time, enabling enterprises to filter threat emails and increase their security.
Atlanta, Georgia, United States
Developer of an automated platform intended to address the challenges of email phishing. The company's platform uses a combination of machine learning and human intelligence to offer phishing simulation training, detection, incidence responses and automated intelligence sharing, enabling organizations to protect themselves from the threat of phishing and make emails secure.
Middletown, Delaware, United States
PowerDMARC empowers organizations to combat Business Email Compromise (BEC), email spoofing, and phishing with ease. Our AI-driven threat intelligence and advanced email authentication solutions ensure that only legitimate emails are sent from your domain—safeguarding your brand’s reputation. As a single SaaS platform, PowerDMARC seamlessly integrates DMARC, SPF, DKIM, BIMI, Hosted MTA-STS, and TLS-RPT, making email security simple and effective. How PowerDMARC Helps: ✅ Prevents spoofing and impersonation attacks ✅ Strengthens email authentication to protect your brand’s reputation ✅ Enhances email deliverability and trust ✅ Shields your domain from fraud and phishing attempts 🔹 For MSPs & MSSPs: Benefit from multi-tenancy, full white-labeling, and scalable email security management for your clients.
Seattle, Washington, United States
Provider of a real-time detection network designed to empower individuals and companies to leverage a proactive security intelligence. The company's network provide tools that facilitates real-time feedback, enabling people to protect themselves and their workplace against phishing attacks and scammers.
Lausanne, Vaud, Switzerland
Brightside AI - Swiss cybersecurity SaaS that helps teams combat AI -enabled phishing threats. Protect your team today!
Singapore, Singapore, Singapore
SendForensics is a global provider of advanced email analysis, quality-assurance and anti-phishing solutions for marketing, compliance and security applications. Trusted by responsible senders worldwide.
Dubai, United Arab Emirates
EmailGurus is an open-source software that helps you flag emails from unknown senders and mute email noise.
- Must provide real-time threat detection and response capabilities. - Should include features for phishing and spam protection. - Must use machine learning or AI to improve detection accuracy. - Should support integration with existing email systems and workflows. - Not just basic filtering; must also offer advanced analytics and reporting tools.
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