Report
Preparing for AI Frontier Threats
If an attack can probe, adapt, and keep going on its own, your defenses can’t depend on people catching up. See what has to change before autonomous threats become the norm.
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Ungoverned AI may be accessing data, using tools, and taking action on its own within your organization. Check Point brings visibility, context, and control to AI use and actions to keep you protected from internal and external risks and threats.
Your AI Check Point
Shadow AI you can't see. Agents acting on their own. Sensitive data exposed to LLMs. AI apps built without security in mind. Attackers targeting those apps to steal data. These are the five places AI needs a check point.
Check Point secures all five with one open platform. We understand intent and context at every check point, then apply your policy at machine speed to decide what moves, what needs conditions, what needs human judgment, and what must not pass. Safe AI keeps moving, and risky AI stops.
Built on a pioneering record in prevention and powered by our AI security foundation model, our prevention-first approach stops AI-driven threats so you can secure your AI transformation with confidence.
Connected enterprise AI security
AI is moving into every part of the business. Agents are taking action, sensitive data is moving through new systems, exposures are being probed and exploited at machine speed, and employees are using tools you may not fully see or adequately control. You need visibility and control over shadow AI use, and AI security that can withstand today’s threats – and the frontier threats to come.
Start with your biggest AI security challenge.
We’ll show you the relevant capability, proof, and next step.
As agents gain more autonomy, the attack surface grows with them. See what agents are doing and use identity, data, and context to govern what they can access, which tools they can use, and what actions they can take.
Found across major AI agent frameworks, showing how quickly the attack surface grows as agents gain more autonomy.
Detections of longer malicious prompt injections are on the rise, climbing sharply between March and May 2026.
Report
If an attack can probe, adapt, and keep going on its own, your defenses can’t depend on people catching up. See what has to change before autonomous threats become the norm.
Read the report
Playbook
Agents can read your data, use your tools, and take action. That’s useful. It’s also a lot to trust. Get a practical view of how to govern them without getting in the way of the work.
Checklist
Before you give agents more freedom, make sure you know where the limits are. Use ten practical checks to see what’s ready and what still needs work.
As AI connects to models, data sources, APIs, and infrastructure, every interaction creates a potential path for risk. Secure AI data flows with unified visibility, policy enforcement, and access controls that govern what AI can access, what actions it can take, and where sensitive data can move.
Infographic
You can’t secure the model and ignore everything it runs on. See where protection needs to show up across the AI stack, from infrastructure to runtime.
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Report
Networks don’t stand still. Managing every change by hand is becoming impossible. See how AI can turn human intent into security action without adding more manual work.
Guida
Every new AI risk doesn’t need another tool. See where bolt-ons leave gaps, and what changes when security is built into the architecture from the start.
AI can continually probe your environment for unpatched exposures.The window to find and fix exploitable risks get smaller every day. We bring threat intelligence, exposure context, and AI together to prioritize the weak spots that matter and close them before attackers exploit them.
The mean time from CVE disclosure to confirmed exploitation has fallen from 2.3 years in 2018 to roughly 10 hours in 2026.
Of exploited CVEs in 2026 are hitting as zero days, showing how often defenders now face risk before a fix is available.
eBook
If every security decision still needs a person to find it, review it, and fix it, you’re already being outpaced. See where manual security starts to break down, and what needs to change.
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Guida
AI agents don’t behave like users or apps. Zero Trust needs to account for what they can access, and do. See what that looks like when AI becomes part of the trust model.
Report
Not every exposure deserves a fire drill. The hard part is knowing which ones do. See how to separate real, exploitable risk from the noise and act on what matters.
As AI use spreads across the workspace, it gets harder to see which tools are being used and where sensitive data is going. Apply policy to keep useful AI moving and understand how it’s being used to prevent the exposure of company data along the way.
High-risk enterprise GenAI prompts doubled from 2% to 4% in a year.
The average organization now uses ten different AI applications every month, many without official approval.
Of organizations experience at least one high-risk AI interaction every month.
Guida
You don’t need to slow AI down. You do need to secure what it can now read, decide and do. Get the five moves that help you do that without putting the brakes on adoption.
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Checklist
AI governance isn’t just about having a policy. It’s about knowing whether you can actually enforce it. Use the checklist to find the gaps before AI finds them for you.
Report
People didn’t wait for permission to start using AI. Now security has to catch up. See how big the problem has become, where the risk sits, and what to do about it.
Got a different challenge? Choose another AI security priority
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Maybe it’s shadow AI. Maybe it’s agents with too much access and too little visibility into their scope and permissions. Maybe it’s outdated network architecture that was never designed to stand up to the speed and sophistication of AI attacks.
Tell us about your security concerns. We’ll connect you with the right specialist to assess the risk and act.
Get a clearer view of how AI is being used across employees, applications, and agents, and where it creates risk.
Use visibility into data and context to control what AI can access and do, while still keeping trusted activity moving.
Give security and business teams the evidence they can trust to say “yes” to AI and defend the decision.
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Security Advisory - September 2026 Active Exploitation. Read Advisory