Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

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).

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.

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.

On June 10, 2025, Trend Micro released fixes for six critical vulnerabilities affecting Apex Central and Endpoint Encryption PolicyServer. Five of the vulnerabilities allow remote code execution (RCE), and one enables authentication bypass. The vulnerabilities were responsibly disclosed by the Zero Day Initiative (ZDI), a vulnerability research organization owned by Trend Micro.

In cybersecurity, the value of vulnerability assessments (VA) is widely acknowledged but not always quantified. For many decision-makers, “just preventing an attack” isn’t a strong enough business case. They want to know: What is the return on investment (ROI)? How does this investment contribute to the bottom-line, reduce business risk, or improve operational performance?

The Real Breach is in Delay, Not Detection Detecting vulnerabilities is no longer the hard part. With powerful scanners, continuous monitoring, and security frameworks in place, most organizations can identify weaknesses in their systems quickly. But the real risk begins after a vulnerability is found. According to the Verizon 2025 DBIR, released on April 23, there has been a 34% increase in successful vulnerability exploitations over the past year, compounding a 180% rise from the previous report.

For years, vulnerability scanners have been the cornerstone of enterprise security programs. But as organizations scaled, and as infrastructure, applications, and attack surfaces diversified, the single-scanner model broke down. Security teams now face a fragmented reality. Data pours in from dozens of sources: endpoint detection tools, cloud security platforms, application security testing, and more. Each of these systems generates findings with its own schema, priorities, and assumptions. The result?