Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

More than 150,000 businesses worldwide run on Salesforce, and for most of them, the CRM already holds the most complete and up-to-date picture of who their customers and partners are. That makes it a natural foundation for identity management, not just for internal employees but also for the external users who interact with your portals, applications, and partner platforms every day.

Protecting sensitive data is essential in today’s digital world, where personal information is stored across multiple devices and online accounts. From financial details to login credentials, even small pieces of data can be used by cybercriminals if they fall into the wrong hands. The good news is that you can protect sensitive data with simple, practical steps.

One of the core pillars of the security perspective adopted by the Department of Defense is the so-called Zero Trust strategy. This strategy is the adaptation to evolving threats in the world, many of which prey on the presumption of trust from accounts and individuals that can be compromised. To protect controlled unclassified information and other sensitive data, the presumption of zero trust is necessary to eliminate many common threats.

My colleague Manoj Nair recently wrote about the growing gap between what AI builds and what security teams actually test. He made the case that the speed of AI-driven development has fundamentally outpaced validation, and that the response can't be to slow down, but to change what testing means. I agree with every word.

Digital Cleanup Day might be seen as a digital chore: delete old files, clear the inbox, reduce your carbon footprint. It’s framed as a technical exercise. But digital cleanup isn't only about your hard drive; it’s also about your mind. We are currently drowning in "Digital Toxicity" vast amounts of redundant, obsolete, and trivial data. This isn't just a storage issue. It’s a security crisis. Why? Because you cannot protect data you don’t remember you have.

In AI systems, PII detection is the first step. Not the most glamorous step. But the one that, when it fails, takes everything else down with it. Identifying sensitive data (names, Social Security numbers, financial records, health information) has to happen before any of it reaches an LLM. Get this wrong, and you’re looking at one of two bad outcomes: Traditional DLP systems could afford to be aggressive with detection. LLMs can’t. They depend on full context to generate correct outputs.

What happens when a $29 billion company forgets to rename a model ID, and what it means for every organization using open-source AI. On March 19, 2025, Cursor, the AI-powered coding tool valued at $29 billion and generating an estimated $2 billion in annual recurring revenue, launched Composer 2, its newest and most powerful coding model.

We built 1Password Unified Access to extend identity security beyond humans to the agents and machine workloads operating across your business. In practice, that means securing not just who gets access, but how agentic systems connect to tools, services, and data.