Session Introduction
Workforce
AI Security
AI Security
Protecting every employee AI interaction
Check PointRecent Developments
The Last Six Months in LLMs
in Five Minutes
🎨
Models keep improving in drawing pelicans on bicycle
🚀
Warelay project by Pete from Austria got first commit in November
💻
Do more with less, local. Local models are shockingly capable
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Check PointSolution Brief
Workforce
AI Security
Protect every employee AI interaction
Discover
Assess
Govern
Protect
The AI Security Challenge
Employees use hundreds of AI tools daily — with no visibility, governance, or protection.
Check Point Workforce AI Security delivers real-time visibility, smart governance, and instant protection across every AI touchpoint.
500+
AI Apps Covered
Day 1
Protect from Deployment
100%
AI Traffic Inspected
Zero
Trust by Default
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The AI Shift
AI Left the Browser
Native apps unlocked deeper integrations that browser tabs never could.
Before
—Sandboxed in the browser
—Copy-paste workflows between tabs
—No access to files or local systems
—Sessions reset on every reload
Now
IDE, OS & file system access
Tool calling & MCP integrations
Persistent memory & autonomous agents
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The AI Evolution
From Answering to Doing
Chatbots
Passive Writer
Respond to queries
Provide information
Generate content
AI Agents
Proactive Project
Manager
Manager
Execute tasks end-to-end
Integrate with tools & APIs
Automate complex workflows
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Strategic Challenges
Six Questions Every CISO Must Answer
🔍Visibility
Which AI apps — sanctioned or shadow — are in use across the org?
🔒Data Loss
What sensitive data is being shared in employee prompts?
⚖️Governance
How do we govern AI usage at scale across every team?
✅Compliance
Are AI tools secure and compliant with our policies?
👤Identity
Who is using GenAI, what for, and what is the risk?
🤖Agentic AI
How do we secure autonomous AI agents and MCPs?
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Solution Overview
Four Pillars of AI Security
01
01
Discover
Full visibility into every AI tool in use — sanctioned and shadow — across the entire organization.
02
02
Assess
Understand AI risk relative to your security posture, compliance requirements, and data exposure.
03
03
Govern
Set granular policies per app, use case, and user — controlling exactly how AI is used.
04
04
Protect
Block unsafe actions and redact sensitive data in real-time with AI-powered DLP guardrails.
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Business Risks
Unprotected AI Creates Real Danger
👤
Shadow AI
Employees adopt AI faster than IT can approve. Unsanctioned tools create blind spots and uncontrolled data exposure.
⚠️
Outdated Controls
Legacy DLP can't understand conversational AI. Risky intent and sensitive data leakage go undetected.
🔓
Data Exposure
Prompts may expose financial records, source code, or PII to third-party AI model providers.
📋
Governance Gaps
No per-user AI audit trail, no compliance reporting, no policy enforcement for AI interactions.
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Coverage
Every AI Touchpoint. Fully Covered.
🌐
Web AI Apps
ChatGPT, Claude, Gemini, Copilot and hundreds more — sanctioned or shadow.
☁️
SaaS Integrations
AI features inside Salesforce, Slack, Office 365, and Google Workspace.
🧩
Browser Extensions
AI-powered browser plugins that access corporate data and sessions.
💻
Desktop Agents
Local AI agents running directly on employee workstations and endpoints.
⚙️
Developer Tools
AI coding assistants, MCPs, and autonomous agents in dev environments.
🤖
Autonomous Agents
AI agents acting on behalf of users across enterprise systems.
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Discover
Discover Every AI App in Use
AI Discovery
Monitor sanctioned and shadow AI tools including MCPs. Classify prompt content and shared files.
🧠
Intent Analysis
Understand user intent to assess risk. View AI usage breakdowns by app, session, and user.
☁️
SaaS Detection
Detect AI embedded inside SaaS platforms. Unified dashboard for all apps and integrations.
📚
App Catalog
Browse 500+ AI apps. Search any tool, track adoption trends, and identify risk categories.
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Govern
Granular Control Over Every Interaction
🏷️
AI Classification
AI-powered analysis classifies AI usage by use case — Marketing, Legal, Debugging, and more.
Policy Controls
Define per-app policy controls including copy/paste restrictions and in-prompt data limits.
✂️
Real-Time Redaction
Redact PII, credentials, and financial data in real time — replaced with labeled placeholders.
✅
Action Validation
Interactive validation wizard — employees can self-correct before sensitive data is shared.
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Protect
AI-Powered DLP. Real-Time Defense.
01
Block Unauthorized Apps
Prevent access to unauthorized AI apps and shadow tools before any data can be exposed.
02
Managed vs. Unmanaged
Apply differentiated policies for managed versus unmanaged AI applications.
03
Prevent Risky Connections
Block connections between AI tools and sensitive corporate resources and data.
04
Granular Runtime Policies
Set policies per app, user group, and data type — enforced at runtime, every time.
Real-Time
AI-Powered Protection
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Deployment
Up and Running in Under an Hour
Instant Deployment
Deploy across all browsers and devices. No infrastructure changes, no downtime, no complex setup.
< 1 hr
avg. time to deploy
Full Visibility
Gain complete insight into every employee AI interaction — including shadow apps — from day one.
500+
AI apps covered
Immediate Protection
Enforce security policies from the first minute. No training period, no gap in protection.
Day 1
time to enforce
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Check PointWorkforce AI Security
Get Started Today
Protect every employee AI interaction. Full visibility and enforcement from day one.
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