Defending at Machine Speed: How the Agentic SOC Works
An attacker who once needed years to weaponize a new vulnerability now needs about eight hours. That shift doesn't just strain old patching cycles — it breaks the assumptions most SOCs are still quietly built on.
Meanwhile, security teams are caught between three compounding pressures: data and tooling too fragmented to see clearly, attacks moving faster than manual triage can track, and a workforce stretched thin enough that half are considering leaving the job altogether.
An Agentic SOC isn't about deploying more AI agents. It's about how effectively humans, agents, data, and controls work together — agents taking on the repeatable work, while people stay accountable for everything that matters.
This guide walks through what that actually looks like in practice, including a real-world test against a documented threat actor, and what Cisco's work with Project Glasswing proves about testing AI responsibly before it ever reaches a customer's environment.
Download your copy of Defending at Machine Speed to learn:
- How machine-speed attacks are reshaping three assumptions security teams have relied on for years
- What "governed autonomy" looks like when agents handle triage, detection, and response while humans keep control
- Why centralizing all your data isn't the goal — and what Cisco Data Fabric does instead
- How an Agentic SOC holds up against a real, documented attack chain, step by step
