Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

RSA 2026: The Shift Toward Security FOR AI

RSA Conference 2026 made one thing clear very quickly. Security leaders are done with generic AI pitches. After two years of relentless “AI everything,” the market is now pushing back. There is a growing fatigue with vague promises, surface-level features, and what many are calling outright AI washing. The result is a trust gap. What cut through this year was not another AI-powered detection claim. It was a much more grounded question.

Trivy/LiteLLM Breach: How to Identify Your Exposure and Contain It - 20-min Live Demo

In this 20-minute live demo with Eric Fourrier (CEO and Founder of GitGuardian), Guillaume Valadon (Staff Cybersecurity Researcher at GitGuardian), & Dwayne McDaniel (Principal Developer Advocate at GitGuardian), you'll see how to determine if your machines were compromised by the ongoing Trivy and LiteLLM supply chain attack (attributed to TeamPCP), then scan for exposed secrets and get moving on remediation - step by step.

How AI Dash Cams are Revolutionizing Fleet Safety in 2026

Road safety has changed a lot in the last few years. Trucks and vans now carry smart sensors that watch the road better than humans. This shift protects drivers and other people on the street. Managers can see what is happening in the cab and on the street at the same time - this new tech keeps drivers safe. It provides a clear view of daily operations. The data helps businesses save money and stay on schedule.

Setting a Higher Standard for Security Outcomes in the AI Era

Customers do not experience AI as architecture. They experience it as outcomes. They experience it in the quality of the signal they receive, the speed of the investigation, the confidence behind the recommendation, and the amount of time their teams can spend being proactive instead of buried in noise. That is why the most important question in cybersecurity today is not whether a vendor has AI. It is whether that AI produces better outcomes. Security teams are not buying AI for its own sake.

Episode 11 - The AI Maturity Journey: Data, Agents, and the Shift from Craft to Art

Richard Bejtlich talks with Vijit Nair, VP of Product at Corelight, about the evolving "AI Maturity Journey" for modern security teams. Vijit outlines a three-level spectrum of AI adoption, moving from basic human-driven assistance to automated swarms of agents, and eventually toward fully autonomous systems. They discuss why high-quality, unopinionated data remains the essential foundation for building trust in AI and how technologies like the Model Context Protocol (MCP) are turning human language into the primary interface for tool integration.

Four Excuses That Are Leaving Your Data Exposed to AI Risk

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.

How 1Password is building a culture of AI fluency through AI champions

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 AI SOC explained: Intelligent security for modern threats

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.

The 7 Best AI Governance Tools in 2026

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.