Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

AI Principles in Practice: Auditability in non-negotiable

Feb 4, 2026 By 1Password In 1Password
When AI acts on your behalf, auditability is non-negotiable. In the latest Principles in Practice video, Anand Srinivas, 1Password VP of Product & AI, explains why every AI agent action involving credentials must leave a clear audit trail: Who approved the access and why When and where were credentials used What did the agent access and when Did access end when the task was completed Without auditability, AI usage can break trust between employees, security teams, customers, and regulators.
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Innovation at Speed: Why Machine Identity Security Is Now a Boardroom Priority

Innovation at Speed: Why Machine Identity Security Is Now a Boardroom Priority

Feb 3, 2026 By Dave McGrail, Head of Business Consultancy In Xalient
CEOs across the manufacturing sector remain optimistic about the potential of digital transformation to boost productivity, efficiency, and competitiveness. Yes - manufacturers face a double bind - innovate fast (and potentially feel pain) or risk falling behind; but every step forward expands the attack surface. This sits alongside a stark reality: the manufacturing sector now suffers 26% of all cyberattacks, making it one of the most targeted industries globally. However, the most significant emerging threat is not always the one that leaders expect.
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jfrog

The AI Blind Spot Debt: The Hidden Cost Killing Your Innovation Strategy

Feb 3, 2026 By Ohad Shalev In JFrog
In today’s AI rush, I’ve seen even the most disciplined organizations find it almost impossible to apply the hard-won lessons of DevOps and DevSecOps onto AI adoption. These organizations often feel forced to choose between moving fast and staying in control. As a result, they develop a “wait and see” approach to AI usage and implementation, and it’s creating a new, more dangerous form of technical debt. I call it the AI Blind Spot Debt.
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cyberhaven

Cyberhaven DSPM: Uniting DSPM & DLP to Secure Data in the AI Era

Feb 3, 2026 By Bruce Chen In Cyberhaven
Enterprise security programs were built for a time when data lived in a small number of predictable locations. That model no longer holds. Today, data is constantly created, copied, transformed, and shared across cloud applications, endpoints, on-prem systems, and generative AI tools, often without clear visibility. Protecting data in the AI era requires three pillars: holistic visibility across the full data lifecycle, a deep understanding of data with context (e.g.
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salt security

When AI Agents Create Their Own Reddit: Moltbook Highlights Security Risks in the Agentic Action Layer

Feb 3, 2026 By Jim Rose In Salt Security
A new platform, Moltbook, has attracted significant attention within the AI community. It is not famous because humans are posting there, but because autonomous AI agents are. Moltbook is a social network designed for AI agents to post, comment, upvote, and even form communities. Humans can observe these interactions but cannot participate. This experiment reveals a striking reality. AI agents are coordinating, sharing code, and developing complex cultures without human visibility.
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Snyk

The Prescriptive Path to Operationalizing AI Security

Feb 3, 2026 By Brian Rogan In Snyk
In introducing the AI Security Fabric, we have outlined how security must evolve as software is built by humans, models, and autonomous agents working at machine speed. The Fabric defines the architectural shift required to build trust at AI speed, delivered through the Snyk AI Security Platform. We’re now focusing on the next question: how organizations put that vision into practice. Operationalizing AI security is not about enabling a single feature or deploying a tool.
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Snyk

Introducing the AI Security Fabric: Empowering Software Builders in the Era of AI

Feb 3, 2026 By Manoj Nair In Snyk
Today, we’re thrilled to introduce the AI Security Fabric, delivered through the Snyk AI Security Platform, and operationalized through a prescriptive path for AI security. As software creation shifts to humans, models, and autonomous agents working together at machine speed, security must evolve just as fundamentally. The AI Security Fabric defines the new paradigm, and the Prescriptive Path shows how the Snyk AI Security Platform gets you there.
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egnyte

January Release Rollup: Egnyte MCP Server, File Server Connector, and More

Feb 3, 2026 By Sanjay Kosuri In Egnyte
We’re excited to share new updates and enhancements for January, including: For more info on these updates, check out the list below and dive into the detailed articles. Please join the Egnyte Community to get the latest updates, chat with experts, share feedback, and learn from other users.
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cato networks

When AI Can Act: Governing OpenClaw

Feb 3, 2026 By Dr. Guy Waizel In Cato Networks
Agentic AI burst into public consciousness this week with talk of Moltbook – a social network designed for AI agents built on OpenClaw (formerly Clawdbot and Moltbot). The resulting conversations about identity, forming a new religion, social engineering humans, and more between bots have sparked alarms everywhere. For IT leaders, one thing is clear: AI crossed a meaningful threshold.
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cyberark

AI agents are forcing a reckoning with identity and control

Feb 3, 2026 By Ariel Pisetzky In CyberArk
Most organizations never planned for AI to start making real decisions. They started with simple helpers. An agent answered basic questions or generated small automations so teams could avoid opening another IT ticket. It felt harmless. But as these agents become more capable and more autonomous, they begin operating across systems at machine speed. They connect tools, provision access, and trigger chained actions long after the original request.
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