Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Scammers are increasingly targeting athletes with advanced social engineering attacks, the Guardian reports. The Guardian cites a recent report from Ernst & Young that found that athletes and teams have lost nearly $1 billion to fraud over the past twenty years, and more than 40% of these losses were reported in the past six years.

Mobile devices are becoming the highest‑trusted endpoints that are the least protected. They approve logins. They hold authentication apps. They carry email, collaboration, and business applications. And they travel everywhere your workforce travels: across corporate networks, home Wi‑Fi, airports, hotels, and cafés. That combination (high trust plus constant movement) is why mobile has become such a reliable entry point for credential theft and account takeover.

The pace is not slowing down. Between May 18 and June 1, 2026, four distinct supply chain campaigns swept through npm, PyPI, Crates.io, GitHub Actions, and Composer.

Picture this: Your payments team starts the week with what looks like a routine performance review. Authorization rates are slightly off. A handful of merchants are seeing more retries than usual. Declines are climbing in one segment of the portfolio. But nothing looks catastrophic…yet. Then the warning signs start stacking up. An AI-driven BIN attack has quietly pushed enumeration activity higher. A few merchants are generating abnormal dispute patterns.

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I recently wrote about how today’s cyber risk is defined less by breakthrough innovation and more by the industrialization of existing weaknesses. Given this, I wanted to dig a little deeper. Over a weekend I conducted some analysis on a longitudinal Aggregate Cyber Risk Index that scores six core threat vectors daily for 1,000 days on a 0–100 scale, drawing on six macro categories.

Every company has a version of the same thing. Sometimes it’s a security wiki. Sometimes it’s a Confluence page. Sometimes it’s a PDF nobody wants to update.

According to Bitsight Threat Intelligence, NoName057(16) remains one of the most visible pro-Russian hacktivist groups conducting distributed denial-of-service (DDoS) attacks against countries and organizations perceived as supporting Ukraine. This matters because the risk can extend beyond direct business ties to Ukraine, and the group may also target organizations that do business with vendors, suppliers, partners, or service providers perceived as supporting Ukraine.

If you run engineering, security, or compliance at an Indian tech company, DPDP compliance is knocking at your door fresh and clean in less than a year. Our aim is not to present scary statistics but to help you recognize the urgency of the matter and become DPDP compliant at the earliest. Since this law safeguards a nation’s data, the DPBI can thus stack penalties across multiple contraventions in a single incident. So stop debating whether the law applies to you; it almost certainly does.

If Gen AI adoption were a drinking game, most companies would be three rounds in and still adding shots. I mean, with a new LLM-powered feature every sprint, agents wired into internal APIs, RAG pipelines indexing everything from Confluence to the HR drive, i.e., fast, exciting, and almost nobody checking what happens when someone hands the model a sentence or a txt.file it wasn’t supposed to receive.