Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

The era of "typing into a box" is over. For years, we viewed artificial intelligence as a digital assistant—a sophisticated autocomplete tool that waited for human input. But according to Martin Kraemer, KnowBe4’s CISO Advisor for Europe and the Middle East, that dynamic has shifted. We have moved from asking AI questions to giving AI jobs. In a recent webinar, Martin explores the transition from AI tools to AI agents.

There isn't a CIO on the planet not worried about AI spend right now. CFOs are increasingly nervous, too. For fear of falling behind, many companies have pushed their employees to use AI as aggressively as possible. The edict was clear: "Move fast, we'll figure out the bill later." And for the most part, it worked: AI has been genuinely transformational for the teams that leaned in. But the costs are real: we’ve heard countless horror stories of huge bills and painful overages on token spend.

Adversaries are using AI to launch cyber attacks in record time, forcing security teams to measure responses in seconds instead of hours or days. Detecting these attacks is increasingly difficult. Phishing campaigns built by large language models (LLMs) achieve click-through rates 4.5x higher than traditional methods.1 Public sector organizations are at an inflection point with cybersecurity. Most security stacks in place today weren’t built for this level of speed.

Speakers made it clear that agentic AI is already operating across enterprise workflows. Learn why identity must govern ownership, permissions, actions, and accountability.

As organizations accelerate adoption of AI systems, the scope of data security has dramatically expanded. Sensitive data is no longer simply stored. It is continuously accessed, transformed, and moved across cloud services, APIs, and AI pipelines. For use cases from model training to inference, AI systems depend on dynamic data flows that introduce new and often unseen risks.

Author: Alexander Ivanyuk, Senior Director, Technology Generative AI changes how people work with information. A user can ask a question, upload a document, summarize a ticket, draft an email or ask an AI assistant to help with a workflow. That is useful because the interaction feels natural. But the same natural-language interface also creates a new security problem: instructions and data can become mixed together.