Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

AI governance: a practical guide for enterprise leaders

It's 9:47 AM on a Tuesday. A Slack message from legal lands in the security channel: "Did anyone approve the marketing team's new AI vendor? They're feeding customer data into it." Nobody approved it. The vendor's terms say they can use input data for model training, and the contract was signed three weeks ago. That moment, some version of which plays out at most organizations now, is what makes AI governance an operational priority rather than a compliance exercise.

Inside the RubyGems Supply Chain Attack: How Mend Defender Caught a Coordinated Flood Before It Spread

On May 11, 2026, Mend Defender flagged more than 120 malicious packages newly published to RubyGems — the standard package manager for the Ruby ecosystem. Within 24 hours, that initial cluster expanded into something far larger: tens of thousands of packages pushed by thousands of attacker-controlled accounts, forcing RubyGems to suspend new account registration entirely while the cleanup got underway.

Cyberhaven & Torq: Bringing AI-Powered Automation to IRM and DLP

Sensitive data has become the target, the signal, and the source of risk in nearly every modern security program. Source code, customer records, intellectual property, credentials, and regulated data now move continuously across endpoints, cloud apps, SaaS platforms, browsers, collaboration tools, and GenAI applications. That movement is not inherently bad. It is how modern work gets done.

Detecting Identity Attacks at Scale with Herd Immunity

Modern identity‑based attacks often rely on shared infrastructure and reusable attack frameworks, rather than bespoke tooling built for a single target. Phishing kits and phishing‑as‑a‑service (PhaaS) platforms are the clearest example of this model — and today they are the most prevalent sources of account compromise across organizations of all sizes. Device code phishing illustrates how quickly this model evolves.

Cybersecurity in 2026: Why the Risk Is Bigger Than Ever

Cybersecurity is no longer something only large enterprises need to worry about. In 2026, it affects every organization, from small businesses and managed service providers to global companies and individual users. What has changed is not just the number of cyberattacks. It is how quickly they happen, how far they can spread, and how much damage they can cause.

Beyond the Breach: How Digital Forensics Is Evolving for Modern Cyber Risk

Cyberattacks still break trust. That hasn’t changed. What has changed is how quickly organizations are expected to understand what’s happening and act on it. In today’s environments, answers are demanded in minutes, not days. Leadership needs clarity while systems are still running, customers are still online, and the situation is still unfolding. This is where digital forensics is entering its next chapter.

Beyond automation: why networking teams need orchestration

Networking teams have invested heavily in automation to help them manage increasing workloads and reduce manual tasks. Yet many still face the same issues, like outages, stalled operations, and managing growing incident volume. This problem isn’t a lack of automation: it’s what happens after automation runs. Automation is useful for individual tasks, but it can’t handle the complexity of real-world networking processes, which demand coordination across teams, environments, and tools.

Understanding the Australian Information Security Manual (ISM)

The Essential Eight identifies the most critical cybersecurity risk mitigation controls, providing a set of minimum baseline strategies. As organizations work to mature the security posture, the Essential Eight maturity model offers some options that they can use. However, for organizations that need to implement a more comprehensive security program, the Australian Signals Directorate (ASD) published the Information Security Manual (ISM).

Why AI-Only Threat Intelligence Is a Risk Your Organisation Cannot Afford

SaaS-only platforms are betting everything on automation. But when the threat landscape demands judgement, data volume alone is not the answer. For years, a certain category of threat intelligence vendor has sold the same idea: feed your data into our platform, let the AI process it, and your security team will have everything they need. It is a compelling proposition, particularly for organisations under pressure to demonstrate coverage without expanding headcount.

Weekly Cyber Security News 14/05/2026

Let’s catch up on the more interesting vulnerability disclosures and cyber security news gathered from articles across the web this week. This is what we have been reading about on our coffee break! Are you on the fence with this too? Your hard disk may not be all safe and secure as you think… I think this counts as one of those WTF moments right?