Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

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.

Some of you may remember the early days of security, when setting up a firewall or antivirus felt like enough. It was simple and gave us a sense of control. But over time, we learned that security is a moving target. What once felt sufficient quickly became just the starting point. In today’s agentic AI era, many treat their Model Context Protocol (MCP) setups the same way. If it’s running and returning results, it feels good enough. But the AI landscape is evolving rapidly.

It is becoming increasingly common for APIs to be exploited by threat actors. Broken Object Level Authorization (BOLA) attacks are also on the rise and represent a critical general vulnerability. The problem is relevant for a broad range of teams, including API-first companies, fintech teams, SaaS platforms, and mobile app backends. The impact of a BOLA vulnerability is significant, including data exposure and regulatory fines.