Check Point AI Security

AI security isn't a finish line. It's a feedback loop. Every new model, prompt, tool, workflow, or production incident changes the security equation. That's not just our perspective. Recent NIST research reinforces the idea that no finite set of guardrails can provide permanent assurance against adversarial prompts. We explore what that means for security teams in our latest blog. 𝗥𝗲𝗮𝗱 𝘁𝗵𝗲 𝗳𝘂𝗹𝗹 𝗮𝗿𝘁𝗶𝗰𝗹𝗲, 𝗹𝗶𝗻𝗸 𝗶𝗻 𝘁𝗵𝗲 𝗳𝗶𝗿𝘀𝘁 𝗰𝗼𝗺𝗺𝗲𝗻𝘁 👇

𝗔𝗜 𝗶𝘀 𝗰𝗿𝗲𝗮𝘁𝗶𝗻𝗴 𝗮 𝗻𝗲𝘄 𝗹𝗲𝗮𝗱𝗲𝗿𝘀𝗵𝗶𝗽 𝗼𝗽𝗽𝗼𝗿𝘁𝘂𝗻𝗶𝘁𝘆 𝗳𝗼𝗿 𝗖𝗜𝗦𝗢𝘀: helping the business move faster with confidence, not simply managing what could go wrong. In his latest article, Adam Ely, GM, AI Security at Check Point Software, explores what that shift looks like in practice. 𝗥𝗲𝗮𝗱 𝘁𝗵𝗲 𝗳𝘂𝗹𝗹 𝗮𝗿𝘁𝗶𝗰𝗹𝗲 👉 https://lnkd.in/dZ3gX-uX #AISecurity #CISO #CyberSecurity

𝗔𝗜 𝗶𝘀 𝗰𝗵𝗮𝗻𝗴𝗶𝗻𝗴 𝘁𝗵𝗲 𝗖𝗜𝗦𝗢 𝗺𝗮𝗻𝗱𝗮𝘁𝗲: from securing the business to securely doing business. In his latest article, Adam Ely, GM, AI Security at Check Point Software, looks at how CISOs can turn AI ambition into secure execution. 𝗥𝗲𝗮𝗱 𝘁𝗵𝗲 𝗳𝘂𝗹𝗹 𝗮𝗿𝘁𝗶𝗰𝗹𝗲, 𝗹𝗶𝗻𝗸 𝗶𝗻 𝘁𝗵𝗲 𝗳𝗶𝗿𝘀𝘁 𝗰𝗼𝗺𝗺𝗲𝗻𝘁 👇 #AISecurity #CyberSecurity #CISO

⏱️ Shadow AI becomes a security problem when work moves faster than governance. Employees are already using AI across everyday workflows, often before policy, review, and approval can catch up. That changes the security question. Security has to reach the interaction before it becomes consequential, while there is still time to guide, warn, redact, allow, or block. 🔎 We’ll be discussing exactly that on Tuesday, July 14, in the next session of our Ready or Not webinar series on AI Workforce Security. Registration link in the first comment. 👇 #AISecurity #ShadowAI #EnterpriseSecurity

🗓️ In one week, we’ll be discussing a question many organizations are now running into in real time: 𝘏𝘰𝘸 𝘥𝘰 𝘺𝘰𝘶 𝘴𝘦𝘤𝘶𝘳𝘦 𝘦𝘮𝘱𝘭𝘰𝘺𝘦𝘦 𝘈𝘐 𝘶𝘴𝘦 𝘢𝘵 𝘵𝘩𝘦 𝘮𝘰𝘮𝘦𝘯𝘵 𝘪𝘵 𝘩𝘢𝘱𝘱𝘦𝘯𝘴, 𝘯𝘰𝘵 𝘰𝘯𝘭𝘺 𝘢𝘧𝘵𝘦𝘳 𝘵𝘩𝘦 𝘧𝘢𝘤𝘵? AI is already part of everyday work across writing, analysis, coding, search, and workflow automation, often moving faster than governance can keep up. That is what makes shadow AI so difficult to manage. 𝗧𝗵𝗲 𝗶𝘀𝘀𝘂𝗲 𝗶𝘀 𝗻𝗼𝘁 𝗼𝗻𝗹𝘆 𝘄𝗵𝗶𝗰𝗵 𝘁𝗼𝗼𝗹𝘀 𝗮𝗿𝗲 𝗶𝗻 𝘂𝘀𝗲. 𝗜𝘁 𝗶𝘀 𝘄𝗵𝗲𝘁𝗵𝗲𝗿 𝘀𝗲𝗰𝘂𝗿𝗶𝘁𝘆 𝗿𝗲𝗮𝗰𝗵𝗲𝘀 𝘁𝗵𝗲 𝗶𝗻𝘁𝗲𝗿𝗮𝗰𝘁𝗶𝗼𝗻 𝗯𝗲𝗳𝗼𝗿𝗲 𝗶𝘁 𝗯𝗲𝗰𝗼𝗺𝗲𝘀 𝗰𝗼𝗻𝘀𝗲𝗾𝘂𝗲𝗻𝘁𝗶𝗮𝗹. 🔎 Join us on 𝗧𝘂𝗲𝘀𝗱𝗮𝘆, 𝗝𝘂𝗹𝘆 𝟭𝟰, for the next session in our Ready or Not webinar series on 𝗔𝗜 𝗪𝗼𝗿𝗸𝗳𝗼𝗿𝗰𝗲 𝗦𝗲𝗰𝘂𝗿𝗶𝘁𝘆. Registration link in the first comment. 👇 #AISecurity #ShadowAI #AIGovernance

⚠️ 𝗦𝗵𝗮𝗱𝗼𝘄 𝗔𝗜 𝗿𝗮𝗿𝗲𝗹𝘆 𝗯𝗲𝗴𝗶𝗻𝘀 𝘄𝗶𝘁𝗵 𝗮 𝗽𝗼𝗹𝗶𝗰𝘆 𝘃𝗶𝗼𝗹𝗮𝘁𝗶𝗼𝗻. 𝗜𝘁 𝘂𝘀𝘂𝗮𝗹𝗹𝘆 𝗯𝗲𝗴𝗶𝗻𝘀 𝘄𝗶𝘁𝗵 𝗮 𝗱𝗲𝗮𝗱𝗹𝗶𝗻𝗲. An employee needs an answer, a summary, a draft, or a shortcut, and AI is suddenly part of the workflow before governance has time to catch up. That is the real tension. The issue is not only which tools are in use. It is whether security shows up before the interaction becomes consequential. ⏱️ In our latest article, we explore why Shadow AI is fundamentally a timing problem 👉 https://lnkd.in/dkMewfpY #AISecurity #ShadowAI #AIGovernance

⏱️ Most AI policies are written in the future tense. Employees use AI in the present tense. That gap matters more than the name of any particular tool. By the time an AI interaction shows up in a dashboard, the outcome may already be part of the work. Visibility still matters, but it is no longer prevention. 🔎 In our latest article, we explore why Shadow AI is not a tool problem. It’s a timing problem. Read it via the link in the first comment. 👇 #AISecurity #ShadowAI #EnterpriseSecurity

𝗔 𝟲𝟬-𝘀𝗲𝗰𝗼𝗻𝗱 𝗔𝗜 𝗿𝗲𝗱 𝘁𝗲𝗮𝗺𝗶𝗻𝗴 𝗰𝗵𝗲𝗰𝗸: Pick one AI system your team uses or is building. Now ask: • 𝘊𝘢𝘯 𝘪𝘵 𝘳𝘦𝘢𝘥 𝘪𝘯𝘵𝘦𝘳𝘯𝘢𝘭 𝘰𝘳 𝘤𝘶𝘴𝘵𝘰𝘮𝘦𝘳 𝘥𝘢𝘵𝘢? • 𝘊𝘢𝘯 𝘪𝘵 𝘳𝘦𝘵𝘳𝘪𝘦𝘷𝘦 𝘤𝘰𝘯𝘵𝘦𝘯𝘵 𝘧𝘳𝘰𝘮 𝘥𝘰𝘤𝘶𝘮𝘦𝘯𝘵𝘴, 𝘦𝘮𝘢𝘪𝘭, 𝘵𝘪𝘤𝘬𝘦𝘵𝘴, 𝘸𝘦𝘣𝘴𝘪𝘵𝘦𝘴, 𝘰𝘳 𝘳𝘦𝘱𝘰𝘴𝘪𝘵𝘰𝘳𝘪𝘦𝘴? • 𝘊𝘢𝘯 𝘪𝘵 𝘤𝘢𝘭𝘭 𝘵𝘰𝘰𝘭𝘴, 𝘈𝘗𝘐𝘴, 𝘱𝘭𝘶𝘨𝘪𝘯𝘴, 𝘰𝘳 𝘸𝘰𝘳𝘬𝘧𝘭𝘰𝘸𝘴? • 𝘊𝘢𝘯 𝘶𝘴𝘦𝘳𝘴 𝘴𝘩𝘢𝘱𝘦 𝘪𝘵𝘴 𝘣𝘦𝘩𝘢𝘷𝘪𝘰𝘳 𝘵𝘩𝘳𝘰𝘶𝘨𝘩 𝘯𝘢𝘵𝘶𝘳𝘢𝘭 𝘭𝘢𝘯𝘨𝘶𝘢𝘨𝘦? • 𝘞𝘰𝘶𝘭𝘥 𝘢 𝘣𝘢𝘥 𝘰𝘶𝘵𝘱𝘶𝘵 𝘣𝘦𝘤𝘰𝘮𝘦 𝘢 𝘣𝘶𝘴𝘪𝘯𝘦𝘴𝘴 𝘱𝘳𝘰𝘣𝘭𝘦𝘮, 𝘯𝘰𝘵 𝘫𝘶𝘴𝘵 𝘢𝘯 𝘢𝘸𝘬𝘸𝘢𝘳𝘥 𝘢𝘯𝘴𝘸𝘦𝘳? If you answered “yes” to any of these, red teaming gets very practical very quickly. Because the risk is not only in the model. It is in the system around it: prompts, context, tools, permissions, workflows, and the places where attackers can apply pressure. That is the focus of today’s 𝗥𝗘𝗔𝗗𝗬 𝗢𝗥 𝗡𝗢𝗧 session on 𝗔𝗜 𝗥𝗲𝗱 𝗧𝗲𝗮𝗺𝗶𝗻𝗴 with Steve Giguere and Matt F.. 🗓 Today, June 25 🕙 10:00 AM PT 🇪🇺 7:00 PM CEST ⏱ 45-minute live session Register here: https://lnkd.in/e-9bPXxi #AIRedTeaming #AISecurity #GenAI #CyberSecurity #PromptInjection

🚨Exciting news! We're officially announcing our upcoming integration with Amazon Bedrock AgentCore Guardrails with Amazon Web Services (AWS)! This integration will bring Check Point's behavioral security natively into AgentCore, so enterprise teams can start ensuring agents are doing what they're meant to do. From prompt injection detection, PII scanning, and tool-use validation, AgentCore has you covered. See how it works → https://lnkd.in/eNXTG29C #CyberSecurity #AI

𝗧𝗵𝗶𝘀 𝗧𝗵𝘂𝗿𝘀𝗱𝗮𝘆: 𝗔𝗜 𝗥𝗲𝗱 𝗧𝗲𝗮𝗺𝗶𝗻𝗴 AI systems are moving into real workflows.  • They read documents.  • Use tools.  • Touch sensitive data.  • Trigger actions.  • Make recommendations people may actually follow. So the question is no longer just: “𝘋𝘰𝘦𝘴 𝘵𝘩𝘦 𝘮𝘰𝘥𝘦𝘭 𝘱𝘢𝘴𝘴 𝘵𝘩𝘦 𝘵𝘦𝘴𝘵?” It is: “𝘊𝘢𝘯 𝘵𝘩𝘪𝘴 𝘈𝘐 𝘴𝘺𝘴𝘵𝘦𝘮 𝘣𝘦 𝘮𝘢𝘯𝘪𝘱𝘶𝘭𝘢𝘵𝘦𝘥 𝘪𝘯 𝘵𝘩𝘦 𝘦𝘯𝘷𝘪𝘳𝘰𝘯𝘮𝘦𝘯𝘵 𝘸𝘩𝘦𝘳𝘦 𝘪𝘵 𝘢𝘤𝘵𝘶𝘢𝘭𝘭𝘺 𝘳𝘶𝘯𝘴?” That is the focus of Session 2 of 𝗥𝗘𝗔𝗗𝗬 𝗢𝗥 𝗡𝗢𝗧: 𝗦𝗲𝗰𝘂𝗿𝗶𝗻𝗴 𝘁𝗵𝗲 𝗔𝗜 𝗘𝗻𝘁𝗲𝗿𝗽𝗿𝗶𝘀𝗲. Steve Giguere and Matt F. will walk through how adversarial testing works against real AI systems, including: • scoping the environment • simulating real-world attack and misuse scenarios • surfacing vulnerabilities • building a continuous red teaming workflow as AI evolves 🗓 Thursday, June 25, 2026 ⏱ 45-minute live session 🕙 10:00 AM PT 𝗥𝗲𝗴𝗶𝘀𝘁𝗲𝗿 𝗵𝗲𝗿𝗲 👉 https://lnkd.in/e-9bPXxi #AIRedTeaming #AISecurity #GenAI #PromptInjection