ExtraHop

As organizations rush to scale AI into production, Kubernetes (K8s) is the go-to orchestration platform. But is your AI infrastructure secure?

The very features that make Kubernetes so powerful -- distributed clusters, rapid workload scaling, and encrypted traffic -- are creating critical blind spots that threat actors are actively exploiting.

If you want to protect your proprietary models and datasets, you need to know the 3 major opportunities attackers look for to compromise K8s clusters:
1️⃣ Limited workload visibility that makes it easier to hide malicious lateral movement
2️⃣ Supply chain vulnerabilities that can lead to host-level takeovers
3️⃣ Decentralized data that can cause delayed incident response

ExtraHop's Heath Mullins breaks down how attackers exploit these flaws, providing actionable insights so your security team is ready to defend your infrastructure and confidently scale your AI initiatives 👉 https://xtra.li/4o6JHBe

What does it take to run a modern, enterprise-grade platform?

It requires an architectural foundation built for both deep visibility and advanced security automation.

Look for capabilities like...

🔹 Full-stack intelligence & rich network context: Deep analysis across the entire network layer, including encrypted traffic and complex protocols, lets you see every user, device, and workload to provide the high-fidelity ground truth needed to fuel an agentic SOC.

🔹 Enterprise scale: Massive engineering capacity supporting high-throughput hybrid environments up to 400 Gbps ensures your team never drops packets or misses critical behaviors.

🔹 Tool consolidation: A single, consolidated pipeline unifying NDR, network performance monitoring, and packet forensics eliminates visibility gaps and operational overhead.

We believe these core strengths are a major reason why ExtraHop was named a Leader in the 2026 Gartner® Magic Quadrant™ for Network Detection and Response once again.

Read our co-founder Raja Mukerji’s full breakdown here: https://xtra.li/4uVmX9i