Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Artificial intelligence (AI) is transforming businesses worldwide, offering powerful tools to automate, analyze, and innovate. Yet, with this power comes significant risk. Organizations must implement AI governance frameworks that map, measure, and manage AI risks continuously. ‍ This article explains how effective AI governance helps prioritize risks aligned with business goals, enabling companies to mitigate threats before they escalate.

Picking the best endpoint security for business depends on your org's size, stack, and how much in-house security muscle you actually have. CrowdStrike Falcon leads on pure detection, Microsoft Defender wins on value for M365-heavy shops, miniOrange is the strongest choice for mid-market businesses that need identity-first device security without the enterprise price tag, and IBM MaaS360 covers the UEM-first crowd that needs mobile + BYOD sorted from a single console.

One month ago, architecture, engineering, and construction (AEC) leaders gathered for the Egnyte AEC Summit 2026. By the end of the summit, the message was clear: AEC is moving past AI experimentation and into operational change. Three takeaways defined the day.

New Zealanders are feeling the pain of more frequent and effective cyberattacks. While knowing how to avoid attacks is important, it’s not enough to prevent damage. Consumers, businesses and service providers all need to do more to ensure safe email communications. Numbers tell the story.

Data access governance (DAG) is the set of policies, controls, and processes that determine who can access sensitive data, under what conditions, and with what level of oversight. For most organizations, the policies exist. What's harder to verify is whether those policies reflect the actual state of data across cloud storage, SaaS platforms, and data pipelines.

Phil Englert recently highlighted an uncomfortable reality facing healthcare organizations: legacy medical devices remain one of the most significant cybersecurity risks in modern healthcare environments. Unsupported operating systems, limited security capabilities, patching challenges, and increasing cyber threats create a perfect storm for hospitals attempting to balance patient care, operational continuity, and cybersecurity. The challenge is not new, but it is becoming more urgent.

Organizations are struggling to detect, investigate, and contain cloud threats before adversaries achieve their goals. The new CrowdStrike State of Cloud Detection and Response (CDR) Survey highlights the primary challenges they face: Together, these challenges are creating opportunities for threat actors to successfully breach cloud environments.

Your team probably already has a SIEM, endpoint telemetry, firewall logs, and a growing backlog of alerts no one wants to tune right before a board update. Then an incident review exposes the same problem security leaders keep finding: the attacker didn't need to defeat every control. They only needed to move through a part of the environment no one was watching closely enough.

Which industries are attracting the most attention from cybercriminals today? According to the DevOps Threats Unwrapped Report 2026, Technology and Software organizations remained the most targeted sector. This finding is consistent with our previous research in the 2024 CISO’s Guide to DevOps Threats, showing that attackers continue to focus heavily on organizations that build, manage, and distribute software. What changed, however, was the composition of the industries that followed close behind.