Check Point Email Security is an AI-native, prevention-first email security platform built specifically for today’s AI-powered workspaces, including Microsoft 365 and Google Workspace.

Instead of waiting for phishing or malware to land in inboxes, it focuses on stopping threats before users, copilots, workflows, or other AI systems ever interact with them. It does this by unifying four core pillars of email protection in a single platform:

• AI-native detection – Deeply embedded AI, refined over more than a decade of threat intelligence and behavioral analysis, not just a surface-level machine learning add-on.
• Inline enforcement – Patented pre-delivery controls that block malicious emails before they reach the inbox, plus post-delivery and outbound protections.
• Incident response – A unified investigation console that lets analysts investigate and remediate email threats without jumping between tools.
• Security awareness – Built-in, AI-driven training and phishing simulations tailored to real-time threats and user behavior.

The platform is powered by ThreatCloud AI, Check Point’s real-time threat intelligence network, which feeds it with:

• 4 billion+ Indicators of Compromise (IoCs)
• 42+ threat classification models
• About 300 unique signals per email for analysis

This combination allows organizations to reimagine email security from a reactive model to a prevention-first approach, while aligning with leading frameworks such as NIST, CIS, ISO 27001, HIPAA, PCI DSS, and GDPR.

Check Point Email Security is built around a native AI architecture that serves as the operational core of the platform, not just an add-on feature.

Here’s how the AI-driven detection works in practice:

• Multi-model analysis: The platform uses 42+ threat classification models and evaluates around 300 unique signals for every email, including sender behavior, content, links, attachments, and relationship patterns.
• Massive threat intelligence feed: ThreatCloud AI supplies more than 4 billion IoCs, continuously updating AI decision boundaries as new attack techniques emerge.
• Behavioral and relationship analysis: Graph-based anomaly detection and supply chain relationship analysis help identify impersonation and Business Email Compromise (BEC), even when attackers use legitimate-looking infrastructure.
• Continuous learning: Feedback from SOC analysts, user reports, and false positive handling is fed back into the models, improving accuracy over time.

Because enforcement is inline and pre-delivery, the AI doesn’t just observe threats—it blocks them before they reach the inbox. This is a key difference from post-delivery or “AI supplement” tools that only analyze messages after they are delivered, leaving a window of exposure.

The result is a more proactive, data-driven way to reshape how email threats are detected and stopped, backed by a globally distributed AI and research team of around 200 threat researchers and AI engineers.

Check Point Email Security is designed to cover the full email lifecycle—from inbound and outbound enforcement to incident response and user awareness—so you can move from detection to action quickly.

Key enforcement capabilities include:

• Pre-delivery (inline) blocking: The gold standard for email security—malicious emails are stopped before they ever reach the inbox.
• Pre-outbound enforcement: Protects outbound email by enforcing DLP policies, catching potential data leaks, and responding to compromised accounts.
• Real-time URL protection: URL rewriting and click-time analysis for links in emails and attachments, including website and file emulation behind links.
• Safe file delivery: Content Disarm and Reconstruction (CDR) to neutralize potential threats in attachments.
• Account compromise controls: Options to suspend delivery, lock accounts, block admin actions, and isolate internal threats.

Incident response capabilities include:

• Unified investigation console (patented): A single view for sender profiles, link previews, attachment emulation, transport chains, Defender classification flows, and more.
• Natural language queries: Copilot-style search across hundreds of thousands of emails in seconds.
• Vendor-agnostic “Report Phish” integration: Supports native and third-party phishing report buttons, feeding directly into investigations.
• Microsoft 365 Defender integration: Visibility into how Defender classified and routed emails, plus the ability to override false positives or negatives.

Built-in security awareness training:

• AI-driven simulations and training content generated automatically from real-time global threat intelligence and individual user behavior.
• Always-on, context-aware campaigns that evolve with new phishing techniques and brand impersonation tactics.
• Support for compliance needs under NIST, ISO 27001, HIPAA, GDPR, and similar frameworks.

By combining enforcement, response, and awareness in one platform, organizations can consolidate vendors, reduce operational overhead, and rethink how they manage email and collaboration security—from prevention through to user education.