Agentic AI is quickly transitioning from experimentation to production. Enterprises are deploying AI agents to interpret goals, decide what actions to take, interact with business tools and APIs, and execute those actions autonomously, with limited or no human oversight. The promise is speed and efficiency, but the proverbial “blast radius” is bigger and fundamentally different from anything security teams have managed before.
Network engineers have long understood redundancy. Redundant power, redundant links, redundant clusters. The reasoning is simple: any single component that can fail, will. But AI introduces a category of failure that most infrastructure teams have not yet built defenses against. Unlike hardware, AI models can become unavailable for reasons entirely outside your organization's control.
Richard Bejtlich talks with Vijit Nair, VP of Product at Corelight, about the evolving "AI Maturity Journey" for modern security teams. Vijit outlines a three-level spectrum of AI adoption, moving from basic human-driven assistance to automated swarms of agents, and eventually toward fully autonomous systems. They discuss why high-quality, unopinionated data remains the essential foundation for building trust in AI and how technologies like the Model Context Protocol (MCP) are turning human language into the primary interface for tool integration.
Zero-day exploits rarely announce themselves. There is no public advisory yet. No CVE identifier. No detection signature sitting inside a rule library. The vulnerability exists quietly until someone discovers it and unfortunately attackers often discover it first. Once that happens, the exploit becomes a test of visibility. Attackers do not usually rush into environments using zero-days. They explore carefully. They check which systems respond. They observe how security tools behave.
How a Unified Management Approach Simplifies Complex Networks A10's Priyanka Mullan (Senior Product Marketing Manager) and Field CISO, Jamison Utter, discuss how organizations can overcome the growing complexities of modern network demands. As delivery, security, and monitoring requirements grow, learn how A10's ecosystem helps you move forward more efficiently.
Third-party and supply-chain cyber risk has become one of the most urgent challenges facing healthcare organizations today. In this session, Forescout leaders discuss how hospitals can respond to vendor compromises and prepare for the next incident.
You deployed AWS WAF, completed the initial setup, and got visibility into your traffic. Then the operational reality sets in. Teams that find their way to this comparison typically share one of three experiences: If any of those match where you are, this guide will tell you what you need to know.
Most organizations share a common, uncomfortable secret: they can’t answer basic questions about what is actually exposed on their IP ranges. As companies grow, whether through decades of history, global data centers, or regional allocations, they lose visibility of their IP footprint. Traditional manual reconnaissance is a point-in-time sync, often leaving security teams blind to what’s actually running on their infrastructure.
Every organization has invested in endpoint detection, identity, and cloud security, yet breaches continue to occur. You’ve secured the individual points but lack the context of how those points connect; you haven't secured the paths attackers navigate. Security teams are running more tools than ever: EDR on every endpoint, MFA for every identity, CSPM on every cloud tenant, and SIEMs ingesting terabytes of logs.