Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

From resetting passwords and approving workflows to pulling HR data and orchestrating cloud infrastructure, AI agents now perform tasks that previously required a human with privileged access. AI has moved beyond the realm of passive chatbots into autonomous, persistent operations, performing work on behalf of an individual or entity. Like it or not, that makes AI agents a new part of your workforce. They hold credentials, trigger workflows, and make their own decisions.

Imagine autonomous agents negotiating and acting on your behalf—no manual hand-offs, just an efficient, policy‑driven communication. That’s the promise of Google’s Agent2Agent (A2A) Protocol, unveiled at Google Cloud Next in April 2025. Developed with input from over 50 partners, A2A is now open-sourced under the Apache 2.0 license and governed by the Linux Foundation.

Eldad Livni is the Co-Founder and Chief Innovation Officer at Torq. Prior to founding Torq, Eldad co-founded and served as CPO of Luminate Security, a pioneer in Zero Trust/SASE. Following Luminate’s acquisition by Symantec, he went on to act as CPO of Symantec’s Zero Trust/Secure Access Cloud offering. The security industry has a new buzzword problem.

In technology, the proof of a lasting relationship is in the infrastructure — the pipelines, security services, and log plumbing have to work seamlessly together long before anyone sees the outcome. That’s precisely what Sumo Logic and AWS have built. Aligned around open standards like OCSF (Open Cybersecurity Schema Framework), integrated with services like Security Hub and GuardDuty, and connected through shared telemetry, it makes cloud security and observability possible at scale.

The widespread availability of large language models (LLMs) has driven the rapid development of generative and agentic AI applications for business use cases. These systems can reason, plan, and act autonomously, creating security risks that traditional security tools weren’t built to handle. Their popularity has widened the attack surface, both for organizations using external LLMs and those building their own GenAI applications.

Why device identity during manufacturing and onboarding is the foundation of Zero Trust security.