AI Security Solutions - Check Point Software

AI Security Solutions – From Employees to Agents

Check Point delivers one platform to discover, protect, and govern every AI interaction from employees to agents.

AI Is Moving From Language To Action. Are You Ready?

See what recent attacks revealed and how to secure agents in 2026.

AI Adoption Outpaced Your Controls

AI has scaled faster than traditional security can adapt. Employees, applications, and agents create new exposure points that legacy tools don’t see. You need guardrails where AI runs:

Secure Every Layer of Your AI Journey

We secure AI across workforce usage, customer-facing applications, and autonomous agents — with unified visibility and runtime enforcement.

Stop sensitive data from leaving in prompts

Employees are adopting AI faster than policies can keep up. Security teams need visibility and control that works across browsers, SaaS tools, and copilots without breaking productivity or forcing users to change how they work.

Prevent prompt attacks & harmful outputs

As teams embed AI into customer-facing and internal applications, risk shifts to prompts, responses, and model behavior. Protection needs to happen inline where inputs and outputs are generated not after the damage is done.

Keep agents from taking unsafe actions

Autonomous agents don’t just generate text they act. As agents gain access to tools, files, and systems, security teams need guardrails that govern what agents can do, not just what they can say.

Built for Enterprise AI at Scale

100+ languages monitored in real time

<50 ms latency guaranteed at runtime

1M+ hackers continuously fueling intelligence

Embrace Your AI Journey – Fully Protected

Workforce AI Security

Visibility across browsers + SaaS. Detect risky prompts, coach users, and apply DLP automatically.

AI Application Security

Block prompt injection, jailbreaks, and harmful outputs at runtime with low-latency enforcement.

AI Agent Runtime Security

Monitor agent decisions, restrict tool use, and prevent unsafe actions before they escalate.

AI Red Teaming & Assessment

Continuously attack your models and agents using real adversarial techniques mapped to OWASP risks.

AI Factory/Data Center Security

Secure private LLMs, AI infrastructure, GPU clusters, and AI workloads with full stack protection

The AI Defense Plane

A unified architecture to Discover, Protect, and Govern AI across your workforce, applications, and agents.

Explore More about AI Security Solutions

AI Agent Security Enterprise Playbook

How to assess and secure AI agents in production.

Gartner on AI Application Security

How to secure AI applications with testing, runtime protection, and discovery.

FAQs

How can organizations manage AI security risk?

Organizations can manage AI security risk by understanding where AI is being used, identifying shadow AI, enforcing policies, protecting sensitive data, and monitoring AI interactions across employees, applications, and agents. Check Point’s AI Defense Plane unifies discovery, protection, and governance across every AI interaction, helping security teams reduce risk without slowing AI adoption.

What is the difference between traditional cybersecurity and AI security?

Traditional cybersecurity focuses on protecting networks, endpoints, applications, identities, and data from known and emerging threats. AI security addresses risks that are unique to AI systems, including prompt injection, jailbreaks, sensitive data exposure, unsafe model outputs, autonomous agent actions, and shadow AI adoption by employees. Check Point’s AI Defense Plane unifies discovery, protection, and governance across workforce usage, customer-facing applications, and autonomous agents, covering threats that legacy tools were not designed to see.

What is agentic AI security, and why does it matter now?

Agentic AI security protects AI agents that can reason, interact with data, use tools, and take actions across connected systems. As agents become part of enterprise workflows and applications, security teams need controls that go beyond traditional input and output monitoring. Check Point AI Agent Security helps inspect agent interactions, enforce policies, protect sensitive data, and control risky actions before they impact users, data, or enterprise systems.

What is AI data security, and how does it protect sensitive information?

AI data security helps prevent sensitive, confidential, or regulated data from being exposed through AI interactions. This includes employee use of generative AI tools, AI applications that process user or business data, and AI agents connected to enterprise systems. Check Point AI Security solutions help detect risky prompts, protect sensitive data in inputs and outputs, and enforce policies that reduce the risk of data leakage across employee AI use, AI applications, and AI agent use cases.

What is red teaming in AI security?

Red teaming in AI security means testing AI models, applications, and agents against adversarial techniques such as prompt injection, jailbreaks, data leakage attempts, and other AI-specific risks. Check Point AI Red Teaming helps organizations assess how their AI systems respond to real-world attack techniques, identify weaknesses, and improve resilience before attackers can exploit them. Check Point’s AI Red Teaming & Assessment capability is powered by intelligence from over 1 million players gathered through Gandalf, the world’s most popular AI security training platform.

Ready to Adopt AI Safely?

AI adoption is inevitable – the difference is whether it happens on your terms. We give you visibility, protection, and governance across the full AI lifecycle.