Engineering Insights

Profiling in PyTorch (Part 2): From nn.Linear to a Fused MLP

Browser Run - New formats parameter for the Browser Run /snapshot endpoint

Browser Run's /snapshot endpoint now supports a formats parameter that lets you return multiple page formats in a single API call. Previously, /snapshot returned only HTML content and a screenshot. You can now also include Markdown and the accessibility tree in the same response. These formats are particularly useful for AI agent workflows: Markdown provides a token-efficient representation of page content that LLMs can process directly, without parsing HTML markup. The accessibility tree provid

Data Loss Prevention - Define custom topics for AI prompt protection

You can now define custom topics for AI prompt protection. Predefined AI prompt topics cover common content and intent categories such as PII, source code, and jailbreak attempts. Custom topics let you detect unique or proprietary concepts that are not included in predefined categories. You describe a custom topic in natural language, and Cloudflare DLP detects whether a prompt matches that topic based on context rather than specific keywords. For example, a topic that describes confidential mer

Workers - Track Dynamic Workers usage from the dashboard and GraphQL API

Customers can now view the number of Dynamic Workers invoked during their billing period from the Workers overview page in the Cloudflare dashboard. This count reflects the number of Dynamic Workers that Cloudflare would bill for during the selected billing period. Dynamic Workers usage data only goes back to June 1, 2026. You can also query this count through the GraphQL Analytics API by using workersInvocationsByOwnerAndScriptGroups and selecting distinctDynamicWorkerCount: query getDynamicW

From M-21-31 to M-26-14: What US government agencies need to know now

M-26-14 sets a new compliance baseline for cybersecurity logging, shifting to a risk-based, outcome-driven approach. Agencies operating with distributed, open, and AI-powered platforms like Elastic are better positioned to meet the requirements.

Quantum computing, agentic AI, and the next infrastructure layer in financial services

As financial services firms adopt AI and explore quantum computing, vector search, observability, and security platforms are emerging as the contextual intelligence foundation for autonomous enterprise systems.

Compliance work is overdue for a new approach

Elastic Security introduces agentic compliance in Agent Builder, starting with PCI DSS v4.0.1. Ask questions over live telemetry, inspect ES|QL evidence and scope claims, spot data gaps, and automate daily checks with Workflows — beyond dashboards.

Stripe Projects adds new agent integrations, more providers, and custom developer controls

Our data shows that agents are now fully capable of independently writing code and integrating with APIs like Stripe’s. And yet, many of the steps adjacent to writing code are still too hard for agents to do on their own. We’re expanding Stripe Projects to solve this.