Python makes it remarkably easy to turn a large language model into an application. A few functions can connect an LLM to a vector store, internal documents, APIs, databases, or business tools. That speed is one reason Python has become so central to RAG systems and AI agents. It also creates a subtle security problem. Developers often focus on whether a prompt is safe or whether the model produces an acceptable answer. In production, the more important boundary is usually somewhere else: the point where untrusted natural language is allowed to influence trusted code, data, or actions. A useful rule…
Author: drweb
TL;DR — Key Takeaways ProjectDiscovery’s Neo 1.0 uses AI-driven autonomous security testing to discover, validate and prioritize exploitable vulnerabilities. Neo is available through a consumption-based cloud model designed to lower the cost of continuous security testing. The platform integrates with GitHub, Jira, Confluence, Slack, Linear, APIs, webhooks and MCP. ProjectDiscovery has made available an autonomous security testing platform that leverages an open source artificial intelligence (AI) testing framework to detect and validate vulnerabilities at a lower total cost.Company CEO Rishi Sharma said version 1.0 of the Neo platform is also available via a cloud service that makes it possible for…
Now that push notifications are working, we should add a simple way to turn them off for…
Kubescape is a CNCF security scanner that checks your Kubernetes manifests, container images, and live cluster. It scores them against NSA-CISA, MITRE ATT&CK, and CIS controls, and can even write fixes back into your YAML. Your deployment applied cleanly, and kubectl get pods shows Running. But that same pod might be running as root, have no memory limit, and hold a service account token it never needed. Kubernetes accepts it because the API server mainly checks whether your YAML is valid. Kubescape goes further, and it reads the same file, showing which security controls failed, and points out the lines…
Now that we can notify a single user, let’s expand that into a broadcast flow so we…
TL;DR — Key Takeaways Arm Dynamic Insights uses runtime data and AI to help developers identify software performance bottlenecks and optimization opportunities. The tool is designed to make processor-level performance analysis accessible to developers without requiring deep Arm architecture expertise. Dynamic Insights can identify CPU, memory and I/O constraints, execution hot spots and inefficient use of AI accelerators. Arm has made available a Dynamic Insights tool that leverages artificial intelligence (AI) models to generate recommendations for optimizing software running on its processors using actual data collected at runtime.Alex Spinelli, senior vice president for AI and developer platforms at Arm, said…
Tech conferences are worth every hour I have ever given them. The sessions are not. So instead of spending a thousand words proving that first, here is the program for a conference that does not exist.One note before I start. None of this is about any particular event, any particular organizer, or anybody I have worked with. There is no conference I have in mind and no person I am describing. It is all a composite, drawn from twenty years and a lot of countries, and every criticism is aimed at the format rather than at the people who run…
Now that we’re ready to start pushing, we’ll begin in the service worker and wire up the…
Hey! This post is a response to Abhishek Jakhar’s post about delayed tooltips, or, perhaps better put, a second part showing an alternative approach to the same problem. I really like Abhishek’s focus on the UX of the tooltips in his app. Both are true: a tooltip that comes up too fast is annoying for just-passing-by mouse cursors, and if you add a delay, they come up too slowly for someone intentionally mousing between them. That’s just good UX thinking, and I like to see it. But also, the solutions are quite deep into JavaScript land. The core of the…
Most DevSecOps teams invest heavily in security before deployment, yet attackers target the production environment where applications, APIs, and user behavior are constantly changing. If security validation stops before release, critical risks can remain hidden until they are exploited.The gap is more common than many organizations realize. A survey found that over 70% of applications are likely to contain an active vulnerability after five years in production, while 30 to 40% perform security testing only quarterly or less frequently.This is where production-safe testing changes the equation. Instead of avoiding live environments because of the risk of downtime, it enables continuous,…