Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Account takeover (ATO) is one of the most consistent and costly threats facing consumer-facing businesses in 2025. And this year, the problem has been supercharged by the Mother of All Breaches (MOAB), a credential leak containing 16 billion username and password combinations. It rarely begins with a breach of your own systems. More often, it starts with someone else’s data leak. Credentials are reused, recompiled, and redeployed across platforms you may not even realise are vulnerable.

Zero Trust has become the gold standard for modern cybersecurity architectures, built on “never trust, always verify.” Yet a recent study by the Cloud Security Alliance reveals that nearly 1 in 5 organizations have experienced a security incident related to non-human identities, with only 15% remaining confident in their ability to secure them. The culprit? Device identity—the missing link that can render even the most sophisticated Zero Trust strategy ineffective.

According to Verizon’s Data Breach Investigations Report, 43% of confirmed breaches on vulnerabilities involved web application vulnerabilities, making them one of the most common attack vectors. So how do you find the vulnerabilities before attackers do? That is the real challenge in modern web application security. As organizations scale digital services, APIs, and user-facing portals, the attack surface grows rapidly, and with it, the risk of exposure.

Here at Riscosity, we believe in making our users’ lives as easy as possible when using our product. Whether users are running scans, triaging results, or viewing reports, the workflows must be intuitive and a seamless part of users’ own environments. To that end, we have finished rounding out our comprehensive support for ticketing system integrations by adding Asana and Linear into the fold.

A new era in third-party cyber risk and exposure management is underway, one that operates in real time, informed by intelligence and scaled by automation. This shift wasn’t feasible even a few years ago. The scale, speed, and complexity of today’s threat landscape—spanning thousands of vendors, assets, and attack vectors—demand more than human capacity can manage. Artificial Intelligence is the catalyst making this new model possible.

Security teams don't need more alerts. They need the ability to detect what others miss. That's why we're excited to announce the general availability of CrowdStrike Signal, a new class of AI-powered detection that surfaces the stealthy threats others often overlook — before they escalate. CrowdStrike Signal represents a fundamental shift in how organizations detect and respond to modern threats.

AI is transforming business processes and the threat landscape. CrowdStrike is expanding our AI Security Services portfolio to help organizations meet the dual challenges of securing their AI systems and effectively integrating AI into security operations.

Generative AI is reshaping how software is made, secured, and scaled. At Snyk’s Lighthouse event in Silicon Valley, leaders from engineering, security, and platform teams gathered to explore one big question: How do we build AI-powered systems that move fast, without breaking trust? For many, that future is already here — 60% of organizations at the Summit reported building agentic apps internally. The answers weren’t just technical. They were cultural. Organizational. Strategic.