Datasheet | Check Point SASE

Check Point SASE Unified Network Security for the AI Age

Organizations are navigating fundamental shifts in how users access applications and data. Cloud services, SaaS, AI adoption, and hybrid work are creating a distributed, borderless environment that traditional security can't protect. The result is a fragmented network architecture. It opens security gaps and adds operational complexity across three fronts.

Security Beyond the Perimeter

At the same time that legacy network borders break down, the overall volume and sophistication of cyberattacks continue to rise. AI is further fueling this trend by helping attackers automate campaigns and rapidly evolve malware. SASE has emerged as the architectural framework that addresses this fragmented landscape and expanding threat environment. By converging network and security functions into a cloud-delivered platform, the SASE approach enables organizations to block threats that isolated point solutions miss, accelerate incident response, and improve the end user experience.

• 89% of organizations use two or more public cloud services.
• 88% support hybrid work, requiring least-privileged access across cloud, SaaS, and data centers.
• 75% of global knowledge workers use GenAI at work, expanding the attack surface.

Benefits of Check Point SASE

• 10x Faster Internet Security: Blazing-fast secure internet access.
• Zero Trust Access: Full mesh connectivity between users, branches, and applications.
• Powerful SaaS Security: Inline and API-based enforcement for complete visibility, data protection, compliance, and threat prevention across your SaaS ecosystem.
• Optimized SD-WAN Connectivity: Ensures uninterrupted web conferencing thanks to seamless link failover and a built-in steering policy for over 10,000 applications.

Workforce AI Security

Secure every AI interaction across browser, desktop apps, code assistants, AI agents, and MCPs - with contextual visibility, granular policy, and real-time protection. GenAI accelerates business, but it also creates blind spots that no legacy DLP was built to see.

• Discover every AI app and tool in use.
• Classify prompt content and break down activity by application, session, and user.
• Inspect MCP and agent traffic to prevent risky tool use and data exposure.

Secure Every Interaction

• Classify conversational data by category.
• Apply different policies for managed and unmanaged apps.
• Protect with AI-powered contextual DLP.
• Gain full visibility into every employee AI interaction, including shadow apps.

Check Point SASE Private Access

Replaces legacy VPNs and fragmented access tools with a Full Mesh Zero Trust architecture. Enforce real-time security policies across web and SaaS traffic with an inline inspection engine.

API-Based DLP & Threat Prevention

Detects and prevents sensitive data exposure at rest with AI-powered classification across 800+ predefined data types including PII and financial data. Continuous monitoring of sharing permissions and remediation of policy violations are also provided.

AI-Powered Data Classification

A multilayered architecture combines privately hosted LLMs for semantic data labeling with optimized lightweight ML classifiers to identify sensitive data such as PII and PHI. Automatic discovery and mapping of your entire SaaS ecosystem enhance security posture management.