AI adoption in the DevOps field has been extensive. Developers use agents daily to broaden context, automate coding, prototype, etc., saving time and minimizing the footprint of mundane tasks. But it’s not all about gains. Agentic AI enables and introduces security threats that were unknown just a few years ago. With machine speed and scale, these can impact your corporate repos in a number of highly dangerous ways. The trend is on the rise, including at the level of popular DevOps platforms.

We are excited to share that Zenity now integrates with Claude's Compliance API to bring Claude activity into the same AI security and governance platform enterprises already use to govern agents across the business. By combining Claude's Compliance API telemetry with Zenity's native agent security capabilities, security teams gain the visibility, posture controls, and real-time enforcement needed to secure Claude across the full agent lifecycle.

Ransomware is a type of malware that blocks access to a victim’s system or network. Once the attack runs, it can encrypt selected files, lock systems, or disrupt access to business operations. Then, they demand a ransom in exchange for restoring access or providing a decryption key. In many cases, ransomware encrypts files so the victim cannot use them. Some ransomware can also lock systems or disrupt access to business operations.

AI agents today are becoming a part and parcel of everyday enterprise operations. They can access databases, trigger workflows, send emails, approve requests, and interact with business systems with very little human involvement. What started as AI assistants is now evolving into autonomous operators capable of making decisions and executing actions at machine speed.

A manufacturer's most valuable assets rarely sit in a vault. They live in CAD files, chemical formulations, process parameters, supplier contracts, and tooling specifications that move every day between engineers, plants, partners, and contractors. That movement is what makes the business run, and it is also what makes trade secrets easy to lose. A departing engineer copies a design folder. A contractor forwards a spec sheet to a personal account.

See how Torq harnesses AI in your SOC to detect, prioritize, and respond to threats faster. Request a Demo The first half of 2026 is coming to a close. And unless you live under a rock, there is only one takeaway: The AI SOC revolution is here, and Torq is winning.

API security is the practice of protecting the interfaces that connect your applications, models, and data from unauthorized access, abuse, and data theft. In AI applications, APIs carry prompts, model responses, customer PII, and agent instructions, which makes them the single most exposed layer of your AI stack. Securing them requires authentication, rate limiting, encryption, and a layer most teams miss: protection of the sensitive data in every API call.