If you’ve been in digital assets long enough, you’ve felt the shift—from experimentation to execution. Banks, custodians, exchanges, and fintechs have laid the groundwork for a new financial ecosystem; one that can support the scale, compliance, and interoperability demands of global finance. But that isn’t just about where assets are stored. If you’re still treating custody as an endpoint rather than a gateway, that’s a problem.

As ransomware strains hospital operations and supply‑chain attacks target energy grids, Australia’s public and regulated sectors need proven cyber resilience. At the heart of most breaches lie human error and weak identity controls, making the Infosec Registered Assessors Program (IRAP) assessment program the gold standard for moving sensitive workloads to the cloud.

Netskope Threat Labs is pleased to announce the release of a new open-source tool that detects supply chain attacks. Our new tool, Behavioral Evaluation of Application Metrics (BEAM), requires no endpoint agent deployment and will analyze the network traffic you are already capturing in your organization to determine if your applications are communicating with unusual hosts that could be part of an attack. This tool is the subject of a 2025 Black Hat USA briefing.

In a year defined by AI-driven transformation, Gartner’s 2025 Hype Cycle for Application Security couldn’t have come at a better time. The report outlines a seismic shift in how security leaders approach modern threats, and we are proud to share that Appknox has been recognized as a sample vendor in this year’s edition.

Security debt is a pervasive challenge affecting organizations of all sizes, and it’s only growing. According to the 2025 State of Software Security Report (SoSS), 74% of organizations have accrued security debt, with nearly half of this security debt being critical in nature. This accumulation of unresolved flaws, especially severe ones, poses long-term risks to an organization’s resilience and effectiveness.

Let’s be honest — nobody wakes up excited to read documentation. You’ve been there. You’re configuring a tricky workflow, testing an API, troubleshooting a weird corner case. And instead of finding the answer fast, you’re 12 tabs deep, elbows in a PDF appendix, hoping for a miracle. That’s not how it should be.

Federal agencies are moving fast to unlock AI's potential—from improving citizen services to driving mission outcomes. But with all that innovation comes a new wave of complexity and risk. Security, trust, and transparency can’t be afterthoughts. They need to be part of the build and AI adoption process from day one. AI-driven development is exponentially increasing both code speed and code insecurity, as AI generates code with up to 40% more vulnerabilities than human developers.

In the first half of 2024, 7.78M attacks hit the UK, driven by AI-fueled threats and persistent exposure. Even with Zero-Trust, human error and zero days can still risk an AI-powered breach. Penetration testing is crucial but with 50+ providers, who can you trust?