Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Lightboard Lab: Why Defenders Fight Blind

Modern adversaries do not break in loudly anymore. They log in, blend in, and move faster than most security teams can respond. In CrowdStrike’s 2026 Global Threat Report, the fastest observed breakout time was just 27 seconds, while 82% of detections were malware-free. Traditional defenses were not built for attacks that look like normal activity. This lightboard session breaks down why defenders are struggling to keep up, how modern adversaries operate across identities and cloud environments, and why the gap between intelligence and action continues to grow.

ITSP: Corelight launches Agentic AI that makes SOC triage 10x faster

Modern SOCs face a difficult reality: attackers are moving faster while analysts are being asked to investigate more alerts than ever. Learn how agentic triage helps security teams move from alert overload to evidence-backed investigations. Rather than relying on opaque AI outputs, the approach uses expert-written playbooks and exposes the underlying queries and evidence so analysts can verify conclusions against raw network data.

Reimagining Disaster Recovery: Building the Isolated Recovery Environment

Healthcare cyber resilience depends on ransomware recovery and patient care continuity. Christian Lindmark of Stanford Health Care joins Josh Howell to discuss an innovative approach to building an isolated recovery environment. Instead of requesting significant new capital from the board, Christian proposes a hybrid model that utilizes existing disaster recovery hardware for cyber response. They explore the shift from physical disaster planning to addressing the persistent reality of cyber attacks that compromise environment trust.

OpenAI Privacy Filter Isn't Enough: The Truth About AI Tokenization

While the new OpenAI privacy filter detects basic PII, true data protection requires a much deeper system. In this video, we expose the hidden security vulnerabilities inside modern AI workflows and explain why aggressive data redaction actually destroys your model's utility. What you will discover in this breakdown: The Redaction Trap: Why simply deleting sensitive data breaks your AI's contextual understanding.