Systems | Development | Analytics | API | Testing

Beware of PII in Testing Data: The Security Iceberg and Where PII Actually Hides

If you run a platform tools or security team, you have likely heard this request from developers: “I just need a copy of the production database for staging so I can run realistic load and integration tests.” It is a completely reasonable request. Production traffic and data contain the actual request shapes, real-world value distributions, long-tail anomalies, and timing patterns that make tests useful.

Blocking Install Scripts Is Not a Silver Bullet

npm v12 finally turns off automatic install scripts. That closes one door and leaves another wide open. I have spent years on the security side of the Node.js ecosystem, more recently as the primary contact for the OpenJS Foundation CNA, and now as the Node.js AI Security Engineer in Residence, a role supported by Alpha-Omega. Almost all of that work comes down to one question: can you trust the code you install? So I will say this plainly.

We won't train on your data is not a security architecture

Every enterprise contract I’ve signed in the last two years has the same clause. “Vendor will not use Customer Data to train machine learning models.” Sometimes it’s a paragraph. Sometimes it’s a whole section. The language varies but the intent is identical: don’t feed our production data into your AI. I get it. I sign the same clause as a vendor. But here’s what’s been bothering me: that clause is a promise, not an architecture.

Set the Foundation for Trusted AI and Data with Snowflake AI Security

Safely deploy autonomous workflows and agents across your organization in minutes instead of months with Snowflake AI Security. Discover how to new features like use Agent Identity, Data Movement Policies, and the Snowflake Trust Center to effortlessly block data exfiltration, enforce runtime masking, and neutralize threats before they execute.

Security at Scale: How NodeSource Remediated 21 Vulnerabilities Across Enterprise Node.js Environments

Security vulnerabilities in production environments rarely arrive one at a time. Recently, one of our enterprise Node.js support customers identified a collection of security advisories affecting their Node.js infrastructure. The affected environments were running Node.js v20 and v22 and included vulnerabilities not only within runtime-adjacent tooling but also in components distributed alongside Node.js deployments.

Zscaler Revolutionizes Cybersecurity Data with Snowflake

Zscaler's Tiffany Blakeney shares how her team replaced fragmented tools and months-long development cycles with Snowflake's all-in-one AI platform. By consolidating all data, APIs, and AI models in one secure platform, Zscaler reduced campaign creation from months to minutes—and more importantly, gained the trustworthy, governed AI foundation a cybersecurity company demands. Learn how they're using Snowflake's integrated AI capabilities to move from POC to production faster than ever while maintaining the security posture critical to their industry.

CopyFail, Local Privilege Escalation, and what Bitrise customers should know

With all the online chatter about Copy Fail, DirtyFrag, and Fragnesia, we prepared this simple explainer about what these local privilege escalation vulnerabilities are and how they affect Bitrise customers. Bitrise provides a full-stack, vertically integrated mobile DevOps solution that unites the tools, processes and testing frameworks engineering teams need to build best-in-class mobile experiences. Over 400,000 developers use Bitrise’s products: Bitrise CI, Build Cache, Release Management, and Insights.

GitHub Investigates Internal Repository Breach Following TeamPCP Supply Chain Incident

The tech world woke up to a major shock when a notorious hacking group, TeamPCP, claimed it had broken into GitHu b’s internal systems. The group is currently selling access to roughly 4,000 of GitHu b's private code repositories on cybercrime forums, demanding a massive $50,000 ransom. If GitHub, the platform holding the code for 100 million developers worldwide, can get hacked through a single employee's workstation, what does that mean for your business?

Enterprise AI Security with ClearML: A Complete Series Summary

Over a seven-part series of posts and videos, ClearML’s Enterprise AI Security series covered every layer of securing an AI platform in production, from who gets in to what gets recorded. This post brings it all together in one place: what each layer does, why it matters, and how the layers connect.