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5 AI Prompts Every MSP Should Know | WatchGuard Webinar

Sep 1, 2026 By WatchGuard Technologies In WatchGuard
AI should do more than generate answers. It should help MSPs make better decisions. Many MSPs are experimenting with AI, but isolated tools and generic prompts often create more noise than value. Without the right questions, workflows, and operational foundation, AI can become another disconnected technology to manage rather than a meaningful driver of security and growth. This webinar explores five practical AI prompts every MSP should know, and how to apply them across security, service delivery, operations, and business strategy.
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armo

What Is Prompt Injection, Really? Why the Textbook Answer Cannot Tell You If You Have an Incident

Aug 31, 2026 By Shauli Rozen In ARMO
Prompt injection is three things happening at once. The definition written in 2022 described a model that followed an instruction hidden in the text it was asked to translate. The definition needed in 2026 describes an agent that read a support ticket and then queried a customer table it had never touched, using a service account nobody had revoked. Those are the same attack.
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armo

Prompt Injection Examples: 10 Real Attacks, and Which Ones Would Work on Your Agent

Aug 31, 2026 By Yossi Ben Naim In ARMO
Prompt injection has not changed since 2022. What the model can do has. The instruction that hijacked a translation bot four years ago and the one that opened a homeowner’s windows last year are the same request: do something you are already allowed to do. The first system could only talk. The second could operate devices. Same sentence, different consequence. Here are ten real attacks, in order, and for each one the thing the system was allowed to do that made it work.
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protecto

AI Model Governance: Framework, Roles, Controls and Implementation Checklist

Aug 31, 2026 By Mariyam Jameela In Protecto
AI models rarely become a governance problem because of the model alone. The real risk often emerges from what surrounds it: the data it receives, the decisions it influences, the systems it can access, and the people accountable for its outcomes. That makes AI model governance a lifecycle discipline, not simply a model approval process. Even NIST’s AI Risk Management Framework treats governance as a function that cuts across the entire AI lifecycle.
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cato networks

Has security taken a back seat to productivity?

Aug 31, 2026 By Amad Hussain In Cato Networks
We told everyone to adopt AI, and they did. Almost anyone can now produce polished, professional work in seconds. The newest shortcut behind that speed is skills: small files that hand an AI agent a new ability. Skills are also where the risk now sits. One file can hold dozens of instructions and actions, so anything buried inside travels with it, and the agent follows all of it without asking. Most of those agents run unwatched, so the speed you gained is now exposure nobody in the business is measuring.
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salt security

Secure What Agents Do, Not Just What They Say

Aug 31, 2026 By Michael Callahan In Salt Security
Salt Security and CrowdStrike give joint customers visibility across the full agentic path, from the model to the system where the action lands An employee at a bank asks an AI assistant a routine question. How much money is in my savings account? The assistant answers correctly. The prompt was legitimate. The response was accurate. A model-layer security control inspects both and finds nothing wrong, because nothing is wrong with either. Now look at what happened in between.
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Arctic Wolf

The Trillion-Dollar AI Bet Needs a Security Strategy

Aug 31, 2026 By Dan Schiappa In Arctic Wolf
AI agents have now proven, in the real world, that autonomy without a security model is a liability. At Arctic Wolf, we’ve spent years watching that same lesson play out with cloud migrations, remote work, and every other rush of new technology, and this is that pattern showing up again, just faster.
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