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JonathanR
Employee Employee
Employee

🔍💡What “AI Security” Means in R82.20

Need a quick overview of R82.20's new features of AI Security?

If your company is adopting AI in a much faster pace than you can keep up, which might be the norm, you can leverage these 3 new features in R82.20.

New Features in R82.20
 
Capability
Protected subject
Primary risk addressed
Policy / operating plane
Workforce AI Security
Employees using supported public GenAI applications
Sensitive information submitted in prompts or uploaded files; ungoverned AI use
Access Control + Content Awareness, Application Control, URL Filtering, HTTPS Inspection
AI Agent Security
Internally developed AI applications using supported external LLM APIs
Prompt injection and unsafe/non-compliant prompt content; release positioning also references MCP tool-response protection
Threat Prevention profile + AI Guardrails project/API key; HTTPS Inspection
AI Auditor (formerly Policy Auditor)
Access Control policy and segmentation intent
Rules that violate documented allow/block guidelines or create inconsistent policy outcomes
SmartConsole management analysis; segment matrix and guideline calculation
 
 
How R82.20 Elevates an Existing Check Point Environment
 
Existing strength
Incremental R82.20 value
Firewall and Application Control
Recognizes supported AI destinations and adds AI-specific policy intent instead of treating GenAI as ordinary web traffic.
Content Awareness / DLP concepts
Applies sensitive-data classification to AI prompts and uploads, with AI-oriented data types and user messaging.
Threat Prevention profiles
Adds prompt-injection protection for supported application-to-LLM API flows and ties enforcement to familiar profile criteria.
HTTPS Inspection
Uses established decryption placement to inspect encrypted AI interactions, while increasing the importance of certificate governance and bypass review.
SmartConsole policy management
Adds a segmentation-intent matrix, violation workflow, scheduled recalculation, Global Policy support, and improved audit trail.
Logging and governance
Adds AI-specific logs, Portal analytics, dashboards, and auditable decisions for exceptions and policy changes.
 
Licensing, Cost, and Blade Alignment
 
Capability
Technical alignment
Cost conclusion
Workforce AI Security
Part of the Content Awareness blade; also requires URL Filtering, Application Control, HTTPS Inspection, DLP-Next cloud analysis, and Portal activation
Requires Workforce AI Security license
AI Agent Security
Threat Prevention blade/profile plus Check Point Portal AI Guardrails, Guard API key, Project ID, HTTPS Inspection
Requires AI Guardrails license
AI Auditor
Security Management / SmartConsole policy-analysis function
Requires the AI Auditor license
 
I've attached an infographic that shows these 3 features in more detail. Enjoy🍴
 
R82_20 AI Security.png

 

I hope this helps!
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