Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

protecto

AI Agent Data Leakage: Hidden Risks and How to Prevent Them

Mar 26, 2026 By Protecto In Protecto
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.
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See, Govern, and Secure All AI Usage in Your Enterprise

Mar 26, 2026 By Cato Networks In Cato Networks
Do you happen to know which AI tools your employees are using right now, or what data they're sending into them? Cato AI Security automatically discovers every AI application in your environment, provides security teams with session-level visibility into how those tools are being used, and enforces data policies in real time, so employees can keep working and sensitive data stays where it belongs.
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teramind

The 7 Best AI Governance Tools in 2026

Mar 26, 2026 By Teramind In Teramind
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.
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sumologic

The AI SOC explained: Intelligent security for modern threats

Mar 26, 2026 By Michelle Beastall In Sumo Logic
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.
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1Password

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

Mar 26, 2026 By Liz Tam and Nadia Kasenda In 1Password
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.
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bluevoyant

Four Excuses That Are Leaving Your Data Exposed to AI Risk

Mar 26, 2026 By Tara Ragan In BlueVoyant
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.
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Episode 11 - The AI Maturity Journey: Data, Agents, and the Shift from Craft to Art

Mar 26, 2026 By Corelight In Corelight
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.
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Arctic Wolf

Setting a Higher Standard for Security Outcomes in the AI Era

Mar 26, 2026 By Dan Schiappa In Arctic Wolf
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.
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Forward Networks

Why Your AI Workflow Should Never Depend on a Single Model

Mar 26, 2026 By Forward Networks In Forward Networks
Network engineers have long understood redundancy. Redundant power, redundant links, redundant clusters. The reasoning is simple: any single component that can fail, will. But AI introduces a category of failure that most infrastructure teams have not yet built defenses against. Unlike hardware, AI models can become unavailable for reasons entirely outside your organization's control.
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