Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Rethinking data governance and global compliance

Across Europe and beyond, regulatory frameworks are reshaping how and where organizations manage data. These laws establish enforceable standards for data sovereignty, data governance, and data privacy that directly influence cloud architecture, security strategy, and AI innovation. Without these regulations, you run the risk of these organizational consequences: Data management shouldn’t be considered as only a task for IT. It’s a board-level priority.

Cybersecurity Excellence Awards Reveal Nomination Shift from AI Hype to Governance Execution

The Cybersecurity Excellence Awards today published early nomination insights from the 2026 program, highlighting a shift in vendor emphasis from broad AI positioning toward governance frameworks, identity architecture, and measurable accountability. Produced by Cybersecurity Insiders, the analysis draws on more than 200 submissions received ahead of RSA Conference 2026.

Data Governance Policy: 9 Fundamental Components

In 2026, you’re not just managing clusters and pipelines; you are managing the risk associated with the data flowing through them. As environments become decentralized and agentic, traditional, static data governance policies have morphed from inefficient to a security liability. The financial stakes of data governance failures have reached an all-time high. The average cost of a data breach in the United States has reached $10.22 million.

5 Best Global HR and Payroll Platforms With Strong Data Protection Standards

Running global HR and payroll means handling personal data at a massive scale. Bank account numbers, tax identifiers, salary information, performance reviews, and employment records flow through these systems constantly. A security lapse doesn't just create operational problems. It triggers regulatory penalties, erodes employee trust, and exposes the organization to legal risk across multiple jurisdictions.

Empowering crisis management governance lessons from 2026

The year 2025 proved to be a turning point in how governments, organizations, and communities manage the unpredictable nature of modern crises. With the accelerated pace of technology, significant shifts in global politics, and an increasingly interconnected world, the lessons learned from the recent period have provided a rich roadmap for crisis management governance.

How Cyber Threat Intelligence Shapes Strategic Investment Decisions

Cyber threat intelligence is an input that has become fundamental to companies that are making decisions about the allocation of capital, time, and human resources. Since digital systems are at the core of almost all business activities, having a good grasp of the enemy's actions, the places where attacks can happen and new risks coming up will right be able to affect and determine the company's direction in the long run. The investment matters today are not only based on the potential of the market or the effectiveness of the operation but also on the capability of an organization to predict and take cyber threats.

Automating Access Governance in Jira Service Management: A Complete Guide

As organizations grow, so does the complexity of managing who has access to which apps and systems. For Atlassian teams, Jira and Jira Service Management (JSM) often serve as the central hub for operational workflows, yet access governance is still handled through scattered emails, manual approvals, or outdated processes. Access governance, simply put, is the system of ensuring that the right individuals receive the correct level of access at the right time.

AI Adoption Surges While Governance Lags - Report Warns of Growing Shadow Identity Risk

The 2025 State of AI Data Security Report reveals a widening contradiction in enterprise security: AI adoption is nearly universal, yet oversight remains limited. Eighty-three percent of organizations already use AI in daily operations, but only 13 percent say they have strong visibility into how these systems handle sensitive data. Produced by Cybersecurity Insiders with research support from Cyera Research Labs, the study reflects responses from 921 cybersecurity and IT professionals across industries and organization sizes.

The Evolving Role of AI Governance: Turning Risk into Responsibility

This article is part of a monthly LevelBlue series that explores the evolving world of AI governance, trust, and responsibility. Each month, we look at how organizations can use artificial intelligence safely, thoughtfully, and with lasting impact. Artificial intelligence has moved from being an experiment to becoming an expectation. It now shapes how decisions are made, how customers are supported, and how innovation happens. As AI grows in influence, so does the need to manage it wisely.