AI/ML Cisco warns of AI inaccuracies in security incident reports May 22, 2026 Share By SC Staff Companies considering AI for security reporting should be aware of potential pitfalls, as outlined in a new report from Cisco detailing its experiences with AI-generated incident reports. The company has cautioned that using AI for long-form technical content can lead to significant inaccuracies, unusual conclusions, and inconsistent writing styles, primarily due to the probabilistic nature of large language models (LLMs), Tech Radar reports. Cisco's research highlights several key issues with AI-generated reports, including inconsistency and standardization challenges due to LLMs using different data for each query and producing slightly different outcomes even with the same data. Formatting and structure also pose standardization problems, and AI can sometimes discard valuable data. To mitigate these issues, Cisco recommends using granular, single-task prompts focused on specific report sections, providing the AI with fixed source documents rather than allowing it to choose, and enforcing strict formatting rules. A significant challenge identified is cross-contamination between reports when multiple are processed in a single session. To avoid this, Cisco advises starting a new session for each new incident report to ensure accuracy and prevent data loss. Source: Tech Radar An In-Depth Guide to AI Get essential knowledge and practical strategies to use AI to better your security program. Learn More SC Staff Related AI/ML Microsoft releases new AI red teaming tools for developers SC Staff May 21, 2026 As reported by CyberScoop, Microsoft has released two new open-source tools, Rampart and Clarity, designed to enhance the security of agentic AI development and aid incident responders. Application security APIs under pressure: How AI is rewriting the rules of enterprise security Paul Wagenseil May 20, 2026 The rapid growth of AI has created an explosion of APIs that will require new techniques to manage. AI/ML DataDome launches priority protect for virtual waiting rooms SC Staff May 20, 2026 The product enhances DataDome's existing bot detection capabilities by classifying every request in real time and applying distinct access policies for different traffic types. Get daily email updates SC Media's daily must-read of the most current and pressing daily news Business Email By clicking the Subscribe button below, you agree to SC Media Terms of Use and Privacy Policy . Subscribe You can skip this ad in 5 seconds