Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

An audit trail is usually judged by how much it contains. The more useful question is how many innocent explanations it rules out, because a record that admits a benign reading supports an assertion rather than a conclusion. ‍ Each source added to a trail removes an alternative explanation rather than adding detail. Confidence therefore climbs in steps rather than smoothly, and three sources of the same kind are worth less than two of different kinds. ‍

iGaming fraud detection already spans much of the player journey, from registration and identity verification to login, payments and account activity. But for phishing-driven account takeover (ATO), an important part of the risk can develop before suspicious activity appears inside the operator environment. That distinction matters as operators try to improve fraud detection without adding unnecessary friction.

Tens of thousands of European organizations are legally accountable for the security of companies they do not control but on whose services they rely. Under Article 21(2)(d) of the NIS2 Directive, any in-scope entity is required to manage supply chain security, including the security aspects of its relationships with its direct suppliers and service providers. Article 21(3) further specifies that an organization must take each supplier’s specific vulnerabilities into account.

A phishing campaign is using AI-themed lures to target employees who operate advertising accounts, according to a new report from Island. The campaign is launched from a phishing platform that poses as a portfolio of AI advertising tools, using branding from Gemini, Claude, ChatGPT, Perplexity, and Muse. The platform’s operator added a fake Muse Ads lure eight days after Meta launched its Muse AI agent.

Microsoft is tracking phishing campaigns that use various lures to deliver MSP360, a legitimate RMM tool that attackers are abusing to gain a foothold on compromised systems.

Most GRC platforms claim to use AI. That makes it harder, not easier, to judge the near-identical claims in every demo. Leaders need to know the standards to hold these claims to, what can actually be verified, and how to tell two product pitches apart before letting one of them touch critical controls. It helps to split what you are looking at into two groups: demo-grade AI and enterprise-grade AI. Nearly every GRC vendor now describes itself as the second.

With May 2027 approaching, businesses have a limited window to prepare for the major DPDP compliance requirements scheduled to take effect then. Our first post in this series called 2026...

If your business collects, stores, or otherwise processes digital personal data, India’s Digital Personal Data Protection (DPDP) Act, 2023, may affect how you handle that information. Understanding whether the Act...

The agentic AI security conversation has, for good reason, spent most of its energy on the agents an organization builds or deploys directly: what they're authorized to do, what data they can reach, how their behavior is monitored. I think that focus is necessary and also increasingly incomplete, because the fastest-growing risk surface in agentic AI right now isn't the agents themselves.

Why Traditional Data Governance Fails in the Age of Autonomous Agents—and What Replaces It.