Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

As organizations aggressively shift from static Large Language Model (LLM) chatbots to fully dynamic, autonomous AI agents (e.g. systems designed to plan workflows, call APIs, write runtime code, and modify enterprise databases), traditional compliance and governance frameworks are hitting a breaking point. A landmark press release from Gartner highlights a critical systemic risk: treating AI agent governance as a monolithic, one-size-fits-all policy guarantees project failure.

Cybersecurity now directly affects operational stability, customer trust, and business continuity.

LiteLLM, a widely deployed open-source AI gateway, is affected by a critical exploit chain that allows unauthenticated attackers to execute arbitrary commands on vulnerable hosts. CISA added CVE-2026-42271 to its Known Exploited Vulnerabilities (KEV) catalog on June 9, 2026, confirming active exploitation in the wild. The Qilin ransomware group has been linked to exploitation activity. What makes this especially dangerous is the chain: CVE-2026-42271 on its own required a valid API key.

As organizations adopt AI agents to build software, security teams face a new challenge: risk is no longer introduced only through the code that gets produced. It emerges continuously through the tools agents use, the actions they take, and the code they generate. This is the problem Evo Agentic Development Security (ADS) was designed to solve. ADS secures all three layers of the agentic development system—what agents use, what they do, and what they generate.

Today, we're announcing Agentic Development Security (ADS), a new Evo solution designed for securing AI-driven software development. AI agents are now active participants in the software development process, selecting tools, executing actions across systems, and generating production-ready code at machine speed.

For years, application security teams have focused on a familiar set of questions: Is the code secure? Are the dependencies vulnerable? Is the build pipeline protected? Are issues being caught before they reach production? Agentic development adds a new question: What systems, tools, instructions, and permissions helped produce this code? AI coding agents are no longer just suggesting snippets or completing lines of code.

Today we're shipping a new capability directly into 1Password Device Trust that lets admins query their fleets faster, without needing to be SQL experts. Now you can describe what you want to investigate in plain English, and Device Trust generates a ready-to-run SQL query you can execute across your devices in a single click.

Agent usage is exploding and in Microsoft 365, agents aren’t monitored by default. Even though it’s early days for tools that can monitor agents, Microsoft’s newly released Agent 365 evolves this new category with some powerful capabilities. Here are some tips for using Microsoft Agent 365 and related tools to monitor agents. Solutions discussed in this post: This is part 1 of a two-part series.