Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

The New Threat Landscape: AI-Native Apps and Agentic Workflows

Businesses are moving beyond AI experiments and proofs of concept. As we approach what IDC is predicting will be the “AI pivot years” of 2025-2026, organizations are prioritizing, planning, and building for scale. This shift includes AI agents — self-directed tools that automate tasks — as technology providers strive to simplify development workflows. Under the surface, AI systems expose an expanded threat landscape that spans the software development lifecycle (SDLC).

Catch Bugs Faster: Cursor's BugBot for AI Code Review

In this video we dive into Cursor's 1.0 release, focusing on their new BugBot feature. This AI-powered tool integrates with your GitHub workflow to automatically review pull requests and identify potential bugs. We'll show you how to set up BugBot, trigger it on a pull request, and analyze the issues it finds, including a real-world example of it catching errors in AI-generated code from Google's Jules tool.

Announcing a Dedicated Snyk API & Web Infrastructure Instance for Asia-Pacific

Snyk is delighted to announce a significant milestone for our customers and partners in the Asia-Pacific (APAC) region: the launch of a dedicated Snyk API & Web infrastructure instance, which is now available and hosted locally within the region. This investment addresses the critical needs of our growing customer base in the region, ensuring that they can benefit from our modern, developer-first DAST capabilities while meeting local data residency and compliance requirements.

Why ANZ Technology Leaders Are Rethinking How AI, Speed, and Security Intersect

The pace of technological change is always fast, but with AI everywhere, things have gone into overdrive. In Australia and New Zealand, businesses plan to spend heavily on generative AI—about $15 million on average, more than the global average. This puts immense pressure on technology, security, and engineering leaders. They must innovate quickly, but they also face complex risks from AI. This is forcing them to rethink how speed and security can work together.

Finding Software Flaws Early in the Development Process Provides Clear ROI

Organizations spend enormous effort fixing software vulnerabilities that make their way into their public-facing applications. The Consortium for Information and Software Quality estimated that the cost of poor software quality in the United States reached $2.41 trillion in 2022, a number sure to be much higher today. That’s nearly 10% of the current GDP within the US. As we will show, it makes sense that the cost of poor software quality is so high.

Transform Your AppSec Program With the Power of Snyk Analytics

As AI-generated code continues to boost developer productivity – and with it the number of vulnerabilities in code – the need for a programmatic approach to security within a fully AI-enabled reality is key. AI Trust and governance is the new standard for the AI era, and is achieved through visibility, prioritization, and policy. With this in mind, over time, Snyk has expanded the number of reports and analytics provided in its platform to address this need.