SiliconANGLE article by Jason English
At the RSAC2026 Conference, practitioners and vendors came together to hear a new story focused less on prevention, and more on adaptation ahead of the inevitability of change brought on by the rapid enterprise adoption of agentic artificial intelligence coding agents and autonomous automation — whether the cybersecurity community is ready for it or not.
“This community makes a deliberate choice to be protectors and defenders,” RSAC Chief Executive Jen Easterly said in the opening keynote. “We’re delivering trust in a world that desperately needs trust, a world with the most consequential technology change in our lifetime, moving us faster and faster.”
In my RSAC 2025 roundup, everyone was talking about agents, but very few folks had practical experience dealing with the Pandora’s box we were about to collectively open. Fortunately, there were some bright spots of vendor innovation at this year’s show that don’t simply lean on agentic AI window dressing as they address risk.
Every workflow starts and ends with data
Security practitioners I talked to at the show were universally overwhelmed by the sheer amount of data introduced as their organizations scale up ephemeral services and, now, nondeterministic agents, in enterprise architectures. Known common vulnerabilities and exposures give way to ‘known unknowns’ as these systems interact in new ways, surfacing thousands of potential risk indicators – and no company can afford to hire its way out of this problem.
In the expo, I took in a demo of Spektion Inc.’s latest exposure management platform that discovers, tracks and visualizes real-time data to highlight weaknesses across an environment of sensors from a single endpoint. It’s untangling a hairball of attack chains and telemetry from agents and workloads, and taming them into smoother workstreams that prioritize fixing high-impact vulnerabilities first.
“Copilot and assistant agent adoption is accelerating fast within enterprises, but it is often being gated by security concerns about the data layer, and having telemetry about that data that they can trust to build controls,” said David Stuart, senior director of product marketing at Sentra Inc.
The vendor now offers AI data readiness capabilities to monitor an enterprise estate of agents and models – who created them, what data they were trained on, what data they can access, and where their data outputs go, in order to prioritize sensitive data risks and exposures.
Cribl Inc. continues to optimize data flow with its any-source/any-destination federated search engine with agents that can recognize incoming data and normalize, filter and assign contextual metadata…
Read the whole article on SiliconANGLE here: https://siliconangle.com/2026/03/30/bringing-cyber-community-battle-agentic-insecurity-rsac-2026/
