Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Generative AI (GenAI) tools like ChatGPT have already become indispensable across organizations worldwide. CEOs are particularly enthusiastic about GenAI’s ability to let employees “do more with less”. According to the McKinsey Global Survey on the State of AI in 2024, 65% of organizations already use GenAI tools extensively, and Gartner forecasts that this number will reach 80% by 2026.

In the rapidly evolving landscape of cybersecurity, the need for a robust and intelligent assistant capable of analyzing, summarizing, and reacting to events is paramount. This is why we designed Sysdig SageTM, our large language model (LLM)-based cloud security analyst, to be an expert in cloud detection and response (CDR). Sysdig Sage excels at summarizing complex events and providing clear explanations, which is crucial for identifying and promptly reacting to potential threats.

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).