Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

The pressure on security teams has never been greater. With an ever-evolving threat landscape, resource constraints, and now the rapid adoption of artificial intelligence (AI) technologies, Chief Information Security Officers (CISOs) are facing unprecedented challenges. This was one of the clear takeaways from our recent report CISO perspectives: separating the reality of AI from the hype, in which 53 CISOs shared their opinions and experiences of AI’s impact on their security operations.

Modern organizations have sprawling attacks surfaces of known and unknown assets that grow each day. This means understanding and managing your external attack surface is more crucial than ever. But with the vast number of digital assets that organizations need to monitor, accurately identifying every component of your attack surface can seem overwhelming – which is why many turn to External Attack Surface Management (EASM).

Welcome to the second part of our two-part special on Gartner’s “4 Ways Generative AI Will Impact CISOs and Their Teams” report! If you’ve missed the first part on model composition, you can read it here. Today, we will explore why security specialism matters in an AI security tool, particularly where AI quality is concerned.

Elastic Security 8.15 is now available, enhancing our mission to modernize security operations with AI-driven security analytics. Key features include the brand new Automatic Import to streamline data ingestion and onboarding, support for Google’s Gemini 1.5 Pro and Flash large language models (LLMs), a new set of APIs for the Elastic AI Assistant, on-demand file scans for the Elastic Defend integration, and a redesigned way of pivoting between different contexts.