Every security team invests in endpoint detection, network monitoring, and signature-based defenses. Attackers know this — and they've moved on. The most consequential breaches today don't start with malware. They start with stolen credentials, replayed tokens, and hijacked sessions. The attack surface has shifted to identity itself. 
The problem isn't that organizations lack identity data. It's that the data is fragmented, making it nearly impossible to distinguish legitimate access from credential abuse in real time. 
 
This masterclass reframes identity as a forensic surface. We'll explore how authentication metadata, directory attributes, and identity lifecycle signals reveal attacker behavior that endpoint tools simply cannot see.   
 
Attendees will learn: 
- Why credential theft techniques leave unavoidable fingerprints in identity data — regardless of the tool used 
- How to think about authentication patterns, protocol shifts, and privilege usage as detection signals 
- What "identity observability" means in practice across hybrid environments 
- Why this approach works against threats that don't exist yet — from agentic AI misuse to non-human identity abuse 
 
Whether your environment is cloud-first, on-prem, or hybrid, the principle holds: attackers can obfuscate the tool, but they cannot avoid using the stolen credential. The identity layer always sees them.