Author: AI Insights Team
-
ENISA Cyber Crisis Management Best Practices
The ENISA Study on Cyber Crisis Management Best Practices (February 2024) outlines a structured framework for handling large-scale cyber incidents across the EU. It presents 16 actionable best practices organized across four lifecycle phases (Prevention, Preparedness, Response, Recovery) and aligns them with the NIS2 Directive requirements. Key recommendations emphasize EU-wide coordination, secure communication channels, and regular crisis simulations to strengthen collective… Read more
-
OWASP Top 10 for LLM Applications 2025 — Summary
The OWASP Top 10 for Large Language Model (LLM) Applications 2025 is a comprehensive guide identifying the most critical security risks in LLM-powered systems. As LLMs become central to business operations and customer interfaces, their vulnerabilities require proactive attention from developers and security professionals. This version incorporates real-world incidents, community feedback, and the evolving AI… Read more
-
AI Data Security
Introduction Data security is a crucial part of the AI supply chain and must protect data from unauthorized access, use, or alteration. It plays a central role in safeguarding AI systems throughout their lifecycle. Effective data management ensures integrity, prevents malicious or duplicate content, and relies on strong cybersecurity measures to protect datasets and machine… Read more