Navigating between the benefits and risks of AI is not always easy. We dive into how smart tools make a difference in triage, threat hunting, and vulnerability management – but also how the same technology opens new attack vectors.
With the arrival of tools like Microsoft's Copilot for Security and the rise of AI agents, the work in the SOC shifts from searching to assessing. No more opening three consoles; AI prepares everything, from log analysis to MITRE mapping. But beware: the biggest pitfall is not that AI makes a mistake, but that the mistake is so convincing that no one questions it.
Clear boundaries are therefore crucial. AI may report and prepare – but do not let it autonomously adjust firewalls or block accounts without human approval. Not only because of the risk, but also because legislation (such as the EU AI Act) will impose strict requirements on governance, oversight, and auditability starting in 2025.
AI in cybersecurity: facts and solutions
In this article in Baaz Magazine, you will find an overview of AI attacks from 2024, including deepfake CEO fraud and prompt injections, the OWASP Top 10 AI risks: from data leaks to hallucinating models and practical advice on deploying AI secure-by-design, including red teaming, DLP gateways, and NIST guidelines.
We will also take you through what you can already do with AI now without risk: triage, correlation, reporting, and prioritization of vulnerabilities.
AI is not a magic bullet, but a powerful accelerator. Unfortunately, not just for you. Those who integrate AI well into existing processes, ensure human control, and follow recognized standards will gain the advantage without increasing the attack surface.
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