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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graylog

How to Gain Value from AI in Cybersecurity

Mar 26, 2026 By Jeff Darrington In Graylog
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.
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Special Episode: A conversation with Sam, the AI SOC Analyst | Breach Ready Radio | Securonix

Mar 26, 2026 By Securonix In Securonix
In this special episode, Ben sits down with Sam, the AI SOC Analyst inside Securonix, to walk through what happens when a detection fires and a real investigation begins. From a suspicious login at 2 a.m. to building context across users, endpoints, identities, and cloud activity, the conversation focuses on how investigations are changing in practice. We dig into what Sam actually does. How telemetry is pulled together. How behavior is compared to baselines. How risk is calculated. And how findings are turned into clear, structured recommendations that analysts can act on.
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cato networks

Securing Agentic AI: Why Visibility, Behavior, and Guardrails Matter

Mar 26, 2026 By Sangita Patel In Cato Networks
Agentic AI is quickly transitioning from experimentation to production. Enterprises are deploying AI agents to interpret goals, decide what actions to take, interact with business tools and APIs, and execute those actions autonomously, with limited or no human oversight. The promise is speed and efficiency, but the proverbial “blast radius” is bigger and fundamentally different from anything security teams have managed before.
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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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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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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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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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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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