Resource Center

The gap between "theoretical security" and "operational reality" has never been wider. While industry headlines focus on saturated benchmarks and "state-of-the-art" claims, real-world defenders are navigating a landscape of shifting geopolitical tensions, novel attack vectors, and the messy complexity of multi-vendor environments. Join our panel of researchers and industry experts for a 45-minute deep dive into: Macro Intelligence: A geopolitical overview of current campaigns and how global shifts impact your organization’s risk profile and internal messaging. Regional Adversary Analysis: Nuanced breakdowns of the specific TTPs hitting your region. The Defensive Playbook: Practical, authoritative recommendations for hardening your environment and shifting from reactive patching to proactive, intelligence-led hunting.

In a three-week span in the spring of 2026, the security landscape shifted. Three distinct threat actors, including a North Korean state-sponsored operator launched Tier-1 supply chain attacks against widely trusted software: LiteLLM (AI infrastructure), Axios (the most downloaded JavaScript HTTP client), and CPU-Z (a trusted system utility). No perimeter was breached. The attack arrived through trusted software organizations had already approved. This is the attack vector boards need to understand: sophisticated adversaries are targeting dependencies, not defenses. Trusted software is now the weapon. The board-level question that follows is: what is our maximum probable loss if a dependency in our build pipeline is weaponized against us? Most organizations cannot answer that today.

In this webinar, SentinelOne Principal Evangelist Chris Hosking explores real-world case studies of AI-enabled attacks in the wild, the growing risks of AI sprawl inside your organization, and the emerging adversarial threat landscape targeting AI systems directly. Then, see how Autonomous Security Intelligence fights back . From behavioral AI that stopped the LiteLLM zero-day in under 44 seconds to technique-level detection that requires zero hashes, discover what it looks like when security operates at the same speed, scale, and intelligence as the threats it faces. AI for security. Security for AI. This is the new operating advantage.

This blueprint provides a multi-layered framework to protect enterprise generative AI from cloud to user. It maps threats like prompt injection and data poisoning to actionable technical controls and risk mitigation. Discover how to eliminate blind spots, uncover shadow AI, and enforce safe adoption via real-time edge redaction.