Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

The Terminator is often people’s reference point for artificial intelligence (AI), especially when they worry that technology will be the end of civilization. However, on the other end of the AI spectrum is the beloved, marshmallow fluff Baymax, the helper robot providing assistance to those in his presence. The reality of AI sits somewhere between these two extremes. For security teams, AI initially seemed like a revolutionary technology that would offer faster detection and automated analysis.

AI or artificial intelligence has significantly altered how we work. From customer support bots to internal copilots, they help teams move faster and smarter. But there is a growing concern that many companies are still not ready for. It is data leakage in AI. When an AI agent accidentally or unknowingly shares private information with the wrong person or another system, it is called a data leak. When AI systems handle sensitive data, even a small mistake can expose private information.

AI adoption has accelerated faster than most organizations’ ability to manage it. Security and compliance teams are now responsible for overseeing machine learning models, large language models (LLMs), agentic AI systems, and shadow AI—often with frameworks and processes that weren’t built for any of it. The gap between deploying AI and governing it responsibly is where risk lives. AI governance tools exist to close that gap.

The SOC was originally designed for a threat landscape that no longer exists. Today, the sheer number and speed of modern threats make it tough for even the best analysts to keep up. Manually sorting through huge amounts of data, dealing with alert fatigue, and relying on fixed rules make it harder to understand the full story behind each threat. The AI SOC addresses this problem, but not in the way most vendors describe. It’s not just a simple product or feature.

Malwarebytes warns that a phishing campaign is using Google Calendar invites to send phony renewal notices for Malwarebytes subscriptions. The calendar invites contain a phone number that will connect the user with a scammer. “The amounts in these fake invites are large and attention-grabbing, usually several hundred dollars for multiple years of service,” Malwarebytes says.

I just came across the Zero Day Clock, and I love it. Everyone should go there, see the stats, see the trends, and figure out what that means for your ongoing and future patch management plans.

In the financial services industry, a "security incident" is rarely just an IT ticket. It is a regulatory event. Whether you are a bank, a global investment firm, or a fintech startup, your email environment is the most targeted entry point for attackers and the most common exit point for sensitive data.

Researchers at Permiso warn that threat actors can plant phishing messages within Copilot AI summaries. Notably, the researchers found that attackers can trick Copilot into including internal information to craft a more targeted message.

If 2025 was the year of AI adoption, 2026 is when AI evolves from a software story to a people story. Katya Laviolette, our Chief People Officer, explored this idea in a recent Forbes article about how 1Password’s internal network of AI Champions is shaping this evolution and helping us set the standard for how we use AI to drive impact across 1Password.

The generative AI revolution isn't on the horizon. It's already reshaping the way your employees work. Across every industry, workers are adopting AI-powered productivity tools at a pace that far outstrips most organizations' security and governance programs. The question is no longer whether your organization will use AI, but whether you're prepared to use it securely. The challenge is real, but so are the misconceptions that keep organizations from taking action.