JumpCloud Overview: Identity, Device, and Access Management
Discover how JumpCloud can transform your IT operations by managing identities, devices, and access from a single pane of glass.
Composable AI Agents and the SOC That Runs Itself
Picture a SOC that investigates its own alerts, hunts threats across customer tenants, isolates compromised endpoints, and writes its own detection rules. Envision the same SOC attacking itself every morning to find the gaps it missed, all before your analysts arrive for the day. This is not a roadmap item, but an operational reality on LimaCharlie. It’s what agentic AI security looks like on a platform built to support it.
Secure private networking for everyone: users, nodes, agents, Workers - introducing Cloudflare Mesh
AI agents have changed how teams think about private network access. Your coding agent needs to query a staging database. Your production agent needs to call an internal API. Your personal AI assistant needs to reach a service running on your home network. The clients are no longer just humans or services. They're agents, running autonomously, making requests you didn't explicitly approve, against infrastructure you need to keep secure.
Managing Your Organization's AI and Digital Identities with JumpCloud
Discover how JumpCloud is shaping the future of IT by centralizing identity, devices, and AI into a single pane of glass. This video provides a look at how you can streamline your operations and secure your organization's digital ecosystem.
What AI Operator-First SOC Looks Like, and Why It Matters Now
There is a version of AI SOC that most security teams are familiar with. It summarizes alerts. It surfaces recommendations. It tells an analyst what to look at next. It is useful in the way a well-organized report is useful: it saves time reading, but the work still happens at a human pace. That version of AI is not what this blog is about. For MSSPs and SecOps teams operating at scale, advisory AI is not a destination. In fact, it presents a bottleneck in a different form.
Understanding shadow AI in your endpoint environment
Generative AI–and large language models in particular–reached mass consumer adoption beginning in late 2022 and early 2023, with ChatGPT reaching 100 million users faster than any consumer application in history. Since then, AI has advanced at a breakneck pace and now seems to be incorporated in every tool, app, and website–regardless of how useful it might actually be.
A Look At GitGuardian's ML-Powered Contextual EnrichmentAnd Incident Scoring
In this quick introductory video, Mathieu Bellon, Senior Product Manager at GitGuardian, sits down with Dwayne McDaniel, Developer Advocate, to cover some of the advancements GitGuardian has made by integrating machine learning directly into the secrets security platform. Mathieu describes how engineers and responders can save serious time as by automating contextual analysis, geving the humans in the loop with the best information to be able to take an informed action when it comes to secrets leaks. They also discuss the security implications and where teams can look if they want to opt out or bring their own agents.
Announcing Justification Coach: AI-Powered Guidance for Better Access Requests and Stronger Audits
Today, we’re introducing Justification Coach, a new AI-powered capability that helps users write better access request justifications in real time, so admins get the context they need for audits and investigations without having to chase people down after the fact.
7 Generative AI Security Risks and How to Defend Your Organization
Generative AI creates new attack surfaces that traditional security tools were not designed to address. The biggest generative AI security risks include prompt injection, data leakage, shadow AI, compliance exposure, model poisoning, insecure RAG pipelines, and broken access control. Each one requires a specific defense, not a generic firewall or DLP rule.
"It's Quite a Shock": The Quantum Deadline Is Real
In this World Quantum Day special edition of This Week in NET, host João Tomé is joined by Bas Westerbaan (Principal Research Engineer) and Sharon Goldberg (Senior Director, Product) to explain why the timeline for post-quantum cryptography may be arriving sooner than expected. Recent research suggests the number of qubits required to break today’s encryption could fall dramatically, accelerating the urgency for companies and the Internet ecosystem to migrate to post-quantum security. Google has set a 2029 migration target, and Cloudflare is working toward a similar timeline.