Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Developers treat GitHub Gists as a "paste everything" service, accidentally exposing secrets like API keys and tokens. BYOS lets you scan and monitor these blind spots.

Building and securing mobile applications has never been more complex. Development teams are pushing to ship faster, while security teams are racing to identify and mitigate vulnerabilities just as quickly. Both generate massive volumes of data — from build logs and code commits to vulnerability scans and audit trails — yet these insights often remain trapped in silos.

Hashing takes your data (like a password or file) and converts it into a fixed-length code that can’t be reversed. This makes it nearly impossible for attackers to figure out what the original data was, even if they steal the hash. In this article, I’ll explain hashing in detail, including its working principles, applications, the algorithms behind it, and how to apply it correctly.

In response to evolving digital risks and growing concerns about data misuse, Australia has introduced a substantial privacy reform via the Privacy and Other Legislation Amendment Act 2024 (POLA Act) passed on December 10, 2024 Designed to modernise the country’s privacy framework and better align it with international standards like the General Data Protection Regulation (GDPR), the POLA Act marks a pivotal shift in how personal information is defined, managed, and protected.

Identity is now the most common entry point for attackers. In cloud-native environments, thousands of microservices, containers, and agents request credentials every day, and each one represents a potential weakness. The imbalance between human and non-human identities (NHIs) is growing, but many organizations still devote the bulk of their identity and access governance (IGA) efforts to the former.

I’ve been spending a lot of time with teams and customers talking about AI. Not in terms of buzzwords or market predictions, but the real, in-the-trenches work of building software, serving customers, and securing identities and data. The mindset we’ve adopted around AI is simple: you can’t cut your way to great products or great customer experiences. AI isn’t about replacing people or chasing short-term efficiency gains.

This piece is part of a monthly series by Carisa Brockman and Bindu Sundaresan exploring the evolving world of AI governance, trust, and responsibility. Each month, we look at how organizations can use artificial intelligence safely, thoughtfully, and with lasting impact.

Security reviews are changing. More buyers want live, verifiable proof of your security posture and not a static PDF that changes by dawn. Astra Trust Center helps teams answer due diligence questions upfront, cutting back-and-forth questionnaires and keeping deals moving. At the same time, attackers aren’t getting more creative, just more effective. The 2025 Verizon DBIR found that 88% of Basic Web Application Attacks involved stolen credentials.

AI convenience rides on a river of data: text, clicks, images, voices, locations, and metadata you didn’t know existed. The core question is not whether AI uses data but how it collects it, what it infers, and whether people truly agree to that. In other words, the impact of AI on user consent and data collection is not academic. It decides whether your product earns trust or burns it.

It’s rare to find a security professional who enjoys the security information and event management (SIEM) migration process. Security teams are often diverted from actively defending their environment to tend to the long, manual, and error-prone migration process.