AI isn’t just creating a new security challenge. It’s expanding the cybersecurity market. Forbes takes a deep look at CrowdStrike’s strategy for securing the agentic enterprise — from protecting AI agents at runtime and governing human and non-human identities to building purpose-built security models with SafeMind and advancing autonomous cyber defense through the Cyber Superintelligence Lab. It’s “CrowdStrike’s clearest statement yet of how it intends to compete as security spending follows AI adoption.” The agentic enterprise is here. A new security market is emerging with it. CrowdStrike is the control point. 🔗 https://lnkd.in/eQUAHxHW
The identity piece gets a lot more complicated once you have humans, applications, and autonomous agents all acting across the same environment. Security teams are going to have to distinguish not just who has access, but what an agent is actually authorized to do on someone’s behalf.
The focus on securing AI agents at runtime and governing identities in the agentic enterprise is critical, but true zero-trust data architecture requires ensuring sensitive data never leaves its originating client in the clear, even before reaching the AI. We find client-side, RAM-only de-identification eliminates egress risk and avoids the compliance-breaking latency introduced by remote cloud proxies, a core strategy at Privacy Scrubber. Learn more about our approach to Zero-Trust Data Sanitization here: https://privacyscrubber.com/solutions/security/zero-trust-data-sanitization/ #CISO #ZTDS #AIPrivacy
AI is reshaping the security landscape in a big way. 🤖🔐 Securing agents, identities, and autonomous systems will be increasingly important as organizations move deeper into the agentic era.
Runtime protection and pre deployment testing are answering different questions. A runtime layer tells you what an agent actually did once something tried to steer it off course in production. Adversarial testing before deployment tells you what an agent can be coerced into doing under conditions nobody has tried yet, unusual tool combinations, chained permissions, manipulation that plays out over many turns. A monitoring layer that only reacts to behavior it recognizes still leaves those coercion paths undiscovered until someone finds them live. Both matter, but they are not substitutes for each other.
The identity piece is the one SMBs are going to feel directly — non-human identities (service accounts, API keys, agent credentials) rarely get inventoried the way user accounts do. Runtime protection for agents is the right instinct, but the unglamorous prerequisite is knowing which non-human identities exist and what they can actually touch.