How to Secure Sensitive Data in Jira & Confluence with DLP (Data loss prevention)

In almost every major enterprise, Jira and Confluence are the default operating systems for innovation. They hold your organization's most vital intelligence, from product roadmaps to financial planning. Yet, while companies invest billions in fortress-like perimeter security, firewalls and VPNs, to keep external attackers out, they often ignore the fragility of their internal collaboration environments.

GitProtect 2.1.0 Overview : Jira Granular Backup and other new features

What Xopero ONE and GitPortect 2.1.0 release bring? Jira Granular Backup, backup & restore for Azure DevOps Artifacts, extended protection coverage for GitHub Projects by draft issues, and much more. Watch the video where we’ve broken down what’s new in our latest release and why it matters for DevOps and Jira Admins.

Beyond Pattern Matching: How AI-Native File Classification Solves Modern DLP Challenges

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.

Fast, Secure, Resilient: Modernizing Application Security at Scale

Software release cycles are now too fast for traditional security tools. Rapid iterations and reliance on open-source and cloud-native tech increase vulnerabilities, challenging AppSec teams to keep up. Attackers are taking advantage, targeting applications and exploiting misconfigurations, excessive permissions, and vulnerable plug-ins.

What AppSec Teams Need to Prepare for in 2026 #applicationsecurity #appsec #aisecurity

Mend.io, formerly known as Whitesource, has over a decade of experience helping global organizations build world-class AppSec programs that reduce risk and accelerate development -– using tools built into the technologies that software and security teams already love. Our automated technology protects organizations from supply chain and malicious package attacks, vulnerabilities in open source and custom code, and open-source license risks.

GitProtect Product Update v.2.1.0: Jira Granular backup, Azure DevOps Artifacts protection, and more

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.

AI is Actively LEAKING Your Data (And You Don't Know It) #apisecurity #airisks #dataprotection #ai

AI agents don't think. They pattern-match. Critical to understand: Generative AI (ChatGPT, Claude, etc.) does NOT reason like humans. It: The API Security problem: When you give an AI agent access to an API, it will: AI agents can't reason. They recreate patterns based on weights. You need to be very careful: data in, data out. Practical example: text User: "Show me the account balance for user" AI agent → calls GET /api/account/123 API → returns { balance: 5000, name: "John", SSN: "123-45-6789" } AI agent → outputs EVERYTHING to user (including SSN!)

Starting the Year with Cyber Intention: Human-Centric Insights from the Global Cybersecurity Outlook 2026

One of my first intentional “to-dos” this year has been spending time with the World Economic Forum’s Global Cybersecurity Outlook 2026, a report I was privileged to actively contribute to over the past year. For KnowBe4 customers, this report offers more than trend analysis. It provides a baseline of where organizations stand today, what separates resilient organizations from less resilient ones, and why the human factor is now central to cyber resilience.

The Role of Reliable IT Services in Modern Business Growth

Modern businesses run on digital rails. When those rails are reliable, teams move faster, customers stay happy, and leaders make decisions with confidence. Reliable IT services turn technology from a cost center into a growth engine - not through flashy tools, but through steady, predictable outcomes that compound over time.