Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

We’ve done it — Jira Granular Backup is now live in GitProtect! And that’s not all. The GitProtect 2.1.0 release also introduces backup & restore for Azure DevOps Artifacts, expands protection coverage for GitHub Projects by draft issues, and brings a whole set of improvements across the platform. Let’s break down what’s new and why it matters for DevOps and Jira Admins.

Legacy DLP operates on a fundamental constraint: it identifies sensitive data by matching patterns. Credit card numbers follow the Luhn algorithm. Social Security numbers conform to a nine-digit format. API keys match specific string patterns. This approach works for structured data, but it fails to address a critical reality: Your most sensitive assets aren't numbers. They're documents.

In cybersecurity, we live by our metrics. We measure Mean Time to Respond (MTTR), Dwell Time, and Patch Cadence. These numbers indicate to the Board how quickly we respond when issues arise. But in the era of Agentic AI, reaction speed is no longer enough. When an AI Agent or an MCP server is compromised, data exfiltration happens in milliseconds rather than days. If you are waiting for an incident to measure your success, you have already lost.

The Internet woke up this week to a flood of people buying Mac minis to run Moltbot (formerly Clawdbot), an open-source, self-hosted AI agent designed to act as a personal assistant. Moltbot runs in the background on a user's own hardware, has a sizable and growing list of integrations for chat applications, AI models, and other popular tools, and can be controlled remotely. Moltbot can help you with your finances, social media, organize your day — all through your favorite messaging app.

Software development has entered a new era. Applications are built and deployed faster than ever, powered by cloud-native architectures, open-source software, and AI-assisted development. But this speed has introduced a new challenge: a dramatically expanded attack surface and a fragmented security model that struggles to keep up.

LABYRINTH CHOLLIMA is among the most prolific DPRK-nexus adversaries that CrowdStrike Intelligence tracks and is responsible for some of North Korea’s most notable intrusions including destructive attacks against South Korean and U.S. entities, and the global WannaCry ransomware incident.

Golf can be an incredibly frustrating game to play. The great Winston Churchill described golf as "a game whose aim is to hit a very small ball into an even smaller hole, with weapons singularly ill-designed for the purpose.” Interestingly, cybersecurity professionals face the exact opposite problem.

Fair-share orchestration of resources in a tenant, especially in a multi-tenant context is a complex, multifaceted issue. It involves ensuring equitable access to shared resources, preventing system overload, and maintaining optimal performance across all customer workflows. As more customers build and trust Tines with their most important workflows, (which sees the platform handle over a billion automated actions per week), we recognized that we needed to ensure our platform's scalability.

AI-assisted development has crossed a tipping point. Mobile teams are no longer debating whether to use AI to write code. They are deciding how fast they can ship with it. This shift, often called vibe coding, prioritizes intent and speed over manual implementation. Developers describe what they want, and AI fills in the rest. Velocity improves. Releases accelerate. But security assumptions quietly break. For mobile applications, that risk compounds.

A multinational financial institution walks into its annual PCI DSS review confident it has “checked the boxes.” Firewalls are segmented, logs are retained, access controls are documented, and the audit report is clean. Months later, the same organization is reprimanded by the UK Information Commissioner’s Office (ICO). The controls were properly implemented.