Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

cyberark

What's shaping the AI agent security market in 2026

Jan 16, 2026 By Shay Saffer In CyberArk
For the past two years, AI agents have dominated boardroom conversations, product roadmaps, and investor decks. Companies made bold promises, tested early prototypes, and poured resources into innovation, with analysts projecting an economic impact of $2.6 trillion to $4.4 trillion. As 2026 begins, the experimentation phase ends and the production era starts as organizations roll out AI agents at scale across their enterprises.
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egnyte

Egnyte Joins Anthropic to Bring Secure, Responsible AI to Financial Services

Jan 16, 2026 By Niamh Conlon In Egnyte
Egnyte is proud to partner with Anthropic in the next phase of Claude for Financial Services—making it easier than ever for sales, investment, and compliance teams to bring their content, context, and institutional knowledge directly to Claude with governed, secure access. As financial institutions race to unlock insights from decades of documents, models, and market data, the challenge has never been simply access.
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appguard

AppGuard Critiques AI Hyped Defenses; Expands its Insider Release for its Next-Generation Platform

Jan 15, 2026 By AppGuard
A new Top 10 Cybersecurity Innovators profile by AppGuard has been released, spotlighting growing concerns over AI-enhanced malware. AI makes malware even more difficult to detect. Worse, they use AI to assess, adapt, and move faster than any cyber stack can keep up. The report advocates for a fundamental change in approach, highlighting the limitations of reactive security measures. Rather than constantly adding or changing detection layers of cyber stacks, the profile emphasizes the importance of reducing endpoint attack surface-a perspective that challenges conventional industry practices.
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Tines

Introducing your AI interaction layer

Jan 15, 2026 By Yannick Gloster In Tines
AI is everywhere, but without a consistent and secure way to connect it to real systems, it remains fragmented, difficult to govern, and hard to scale. Today, we’re introducing your AI interaction layer. Tines unifies AI agents, copilots, and Model Context Protocol (MCP) servers and clients in a single, secure environment. It gives teams a practical way to connect AI to systems and put it to work seamlessly across operations.
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lookout

LLM Security Checklist: Essential Steps for Identifying and Blocking Jailbreak Attempts

Jan 15, 2026 By Lookout In Lookout
If your organization uses a private large language model (LLM), then it’s time to start thinking about countermeasures for jailbreaking. A jailbroken LLM can lead to leaked information, compromised devices, or even a large-scale data breach. Even more troubling: Jailbreaking LLMs is often as simple as feeding them a series of clever prompts. If your customers can access your LLM, your potential risk is even higher.
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sumologic

Token Torching: How I'd burn your AI budget (so you can fix it)

Jan 15, 2026 By David Girvin In Sumo Logic
I spend most of my time thinking like a criminal. Not because I’m edgy, but because that’s literally the job. And lately, everywhere I look, I see the same thing: People are exposing MCP endpoints like they’re REST APIs, and forgetting they’re actually money execution engines. So let’s talk about Token Torching. Yes, I invented another name. This isn’t data theft. It’s not taking your service down.
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