AI agents don’t make decisions independently. They rely on the data they’re fed. If quality data goes in, quality insights come out. When data is incomplete, fragmented, or inconsistent, SOC teams remain over-burdened, and the promise of a fully autonomous security operation will stay just out of reach. https://xtra.li/46CTB68

How do we prevent moving from a world where human analysts miss attacks to one where AI agents miss them as well? The answer is ensuring both have access to the right data. Without complete and accurate visibility across the IT environment, neither a human analyst nor an AI agent can reliably detect threats. If network activity is not captured and analyzed, it becomes a critical blind spot. This is why having a Network Detection and Response (NDR) solution in place is essential—it provides the full network visibility needed for both humans and AI to identify and respond to attacks effectively.

As organizations explore autonomous security operations, quality context and clear decision‑making foundations are essential, especially as AI agents become more prominent in SOC workflows. At InStride, we see parallels across disciplines. Automation and AI can unlock huge potential, but the impact depends on how organizations build the foundation, with strategic data, governance, and human expertise at the core. Thoughtful implementation, not just adoption, is what creates real outcomes. #Cybersecurity #AI #DataQuality #WorkforceTransformation #FutureOfWork

the only NDR which feeds your Agentic SOC with real Network Data is EXTRAHOP! Why? Because EXTRAHOP is the only solution which can decrypt your Packages, all others cannot, they just guess what's in it. Provide your Agentic SOC Agent real decrypted Network Data, otherwise you'll never use its full potential!

Just read this and it perfectly aligns with how I believe next-gen Security Detection & Response capabilities should evolve. The traditional AI copilot model is great.. but agentic SOCs go further. They define true autonomous agents that reason, act, and collaborate within a mesh, not just respond to prompts. Alerts become investigations, Agents trigger workflows, call on specialists, and execute actions — all while surface evidence, confidence, and governance at every step! The architecture discussed isn’t theoretical — it’s practical, modular, and built around real world needs: ✨ contextual knowledge sharing across agents ✨ mesh + orchestrator for discovery + autonomy ✨ investigation contexts that store evidence and decision trails ✨ (most importantly) human oversight where it matters most ✨ feedback loops that make the system smarter over time. This is more than automation — it’s a paradigm shift. We’re moving from alert management to attack resolution, from reactive workflows to proactive, autonomous defenders. I see this direction becoming the standard for SOCs built for scale, speed, and safety. If your SOC strategy isn’t already thinking about agentic AI, it should be. 🧠💥 #SOC #threathunting #DetectionEngineering https://lnkd.in/eXFN5Sew

Security built into AI from day one is a responsible AI conversation. That's what struck me most about what Cisco announced Monday at RSAC 2026.   We introduced: * Zero Trust for AI agents through Duo and Secure Access, giving every agent a verified identity, a human owner, and only the permissions it needs.  * AI Defense Explorer so teams can stress test models against real attacks before deployment.  * DefenseClaw, an open source framework that automates secure agent deployment with plans to integrate with NVIDIA OpenShell. And Splunk brought AI agents into the SOC to handle detection, triage, and response.   Each of these moves reflects something I care about deeply: building technology with accountability at the foundation, not as a retrofit.   When we talk about responsible AI, we often focus on fairness and transparency. Security belongs in that same conversation. An AI agent operating without verified identity or proper access controls introduces risk that falls hardest on the communities least equipped to absorb it.   I'm proud to be part of a company that treats security as a prerequisite for trust, and trust as a prerequisite for scale. To read my colleague Jeetu Patel's blog on this week's announcements click the link in the Comments.

Agentic AI introduces new security challenges that traditional tools cannot address. Cisco is at the forefront of redefining security for this new era by delivering advanced AI Defense capabilities, AI-aware Secure Access Service Edge (SASE), and intent-aware controls. These innovations protect AI agents, govern their interactions, and secure AI-driven workflows. With Cisco’s advancements, enterprises can confidently adopt agentic AI while maintaining control, visibility, and resilience against emerging threats. Learn more here: - Recent Cisco Innovations announced at Cisco LIVE EMEA: https://lnkd.in/ezXvQQ3W - Explore the AI Security and Safety Framework: https://lnkd.in/eh9sMacq

Have you ever prompted an LLM without enough context? You ask for Apple security and get advice about storing fruit.🍎 AI in the SOC works the same way. Agents and copilots are only as good as the data behind them. If your SIEM is running on patchwork enrichment, stale indicators, and yesterday’s view of the Internet, AI tools will simply generate faster delusions. SOC modernization starts by fixing the inputs. In this post, we explore how first-party Internet visibility, with freshness and history, improves SOC enrichment, triage, and investigations. Censys brings the ground-truth Internet intelligence layer that helps your AI SOC succeed. Read the full blog here: https://hubs.ly/Q046M9CK0 #SecOps

Swimlane is surging into 2026 as an AI SOC leader following a record-breaking 2025. The momentum behind our mission has never been stronger: 🔹 $45M in new growth funding. 🔹 94% of Tier 1 & 2 alerts automated. 🔹 60,000+ virtual SOC analysts in delivered capacity. 🔹 The ISO "Trifecta" achieved (ISO 42001, 27001, & 27701). We are carrying this momentum forward as we continue to scale the impact of agentic AI across security operations worldwide.

Momentum like this doesn’t happen overnight. It’s the result of years of innovation, close collaboration with customers, and a clear vision for where security operations needs to go next. The momentum behind Swimlane's AI SOC is exciting to see because it reflects a broader shift happening across the industry: security teams need more than alerts & dashboards. They need a way to scale expertise and execution. That’s what makes this moment so meaningful. Organizations & MSSPs are embracing AI SOC, which combines human expertise with transparent, governed AI to handle the growing cognitive load of modern security operations. Proud of the team driving this forward and grateful to the customers and partners helping shape what the future of the SOC looks like. Excited for what’s ahead. 🚀