Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

The launch of platforms like Moltbook, OpenClaw, and RentAHuman in early 2026 has provided an unsettling glimpse into the future. We are entering a phase of the digital workplace where AI agents no longer just assist us, they interact with one another, act autonomously in the physical world, and even hire humans for manual labor. In this environment, the traditional lines of control and agency are being redrawn.

Today we're releasing the 1Password Device Trust MCP Server, an open-source server that connects your Device Trust data directly to the AI tools your team already uses, like Claude or ChatGPT. It's available now for all customers on Device Trust Connect.

AI usage is invisible to most security tools. Network monitoring sees HTTPS traffic. Endpoint detection sees browser activity. CASB platforms see cloud application access. None of them sees what employees type into AI prompts or upload to AI services through web forms. This invisibility creates a problem. Organizations can’t prove they didn’t expose customer data through AI because they can’t see the data that employees shared.

AI agents are already inside most enterprise environments. They complete tasks, connect to live systems, and make decisions that used to require a human. Gartner projects that 40% of enterprise applications will include task-specific AI agents by the end of 2026, up from less than 5% today. What was an experiment two years ago is now a core part of how work gets done. If your organization is adopting AI agents or planning to, security is not something you can figure out later.

This Anti-Ransomware Day, it's important to recognize the ever-changing landscape of cyber threats and how organizations can fortify their defenses. The evolution from traditional ransomware to cyber extortion over the last few years reflects a professionalized, decentralized ecosystem. To arm your organization against this danger, understanding the current landscape and implementing robust defense strategies is essential.

When a new vulnerability is announced, the race begins. Security teams jump into action, checking exposure, triaging events, identifying affected systems, and figuring out how quickly they can patch. The clock is ticking and they know it. At the same moment, threat actors are doing their own version of that work. They’re reading the same advisories, watching the same feeds, and asking a much simpler question: Who is still vulnerable?

SaaS-only platforms are betting everything on automation. But when the threat landscape demands judgement, data volume alone is not the answer. For years, a certain category of threat intelligence vendor has sold the same idea: feed your data into our platform, let the AI process it, and your security team will have everything they need. It is a compelling proposition, particularly for organisations under pressure to demonstrate coverage without expanding headcount.