Mind your attack gaps across Identity, Network, Cloud, and Endpoint Security

In this Attack Lab session, we cover how attackers increasingly exploit the gaps between traditional security tools spanning across endpoints, networks, identity systems, and cloud platform. As enterprise environments grow ever more complex, adversaries use stolen credentials, lateral movement, cloud privilege abuse, and alert fatigue to bypass controls like EDR, CASB, IAM, and firewalls. This webinar will help security leaders and defenders understand not only where their security stack falls short, but also how an AI‐driven, unified detection strategy can map, surface, and close those gaps in real time.

Key topics covered:

• The “kill chain” blind spots across four critical domains:Endpoint, Cloud, Network, and Identity
• Real‐world scenarios and case studies illustrating how attackers move across domains, remaining undetected by tools that aren’t integrated or contextualized
• The Security Gap Matrix: visualizing where visibility and detection fail, and what that means for dwell time and response effectiveness
• Strategies for correlating signals from disparate tools (EDR, CASB, IAM, etc.) into high-fidelity alerts to reduce noise, avoid alert fatigue, and accelerate remediation
• Actionable steps and design principles to build a defense posture with fewer blind spots: enhancing visibility, bridging domain overlaps, and adopting AI‐driven detection across agents, flows, and APIs

Who should attend:
Security operations teams, threat hunters, SOC managers, CISOs, cloud security engineers, identity & access management leads—anyone responsible for detecting, responding to, or preventing breaches in hybrid/multi-cloud environments.

Learning outcomes:
Attendees will leave the webinar able to:

1. Identify key attack vectors that current tools might be missing.
2. Understand how to evaluate and map gaps across endpoint, cloud, network, and identity domains.
3. Prioritize where to invest or re-align monitoring, detection, and response efforts.
4. Explore how unified/AI-based approaches can compress detection to remediation timelines.
5. Begin building or refining an integrated, gap-aware security strategy that minimizes risk and improves response agility.