…In agentic use cases, speculative decoding really shines because of the volume of tool calls and structured outputs that models need to generate. A tool call is largely predictable — you know there…
…Agents that write and run their own tools. CI/CD products where every repo defines its own pipeline. Last month, when we shipped the Dynamic Workers open beta , we gave those platforms…
…coding agent turns out to be fine for manual investigation when a researcher already has a lead and wants a second pair of eyes. However, it's the wrong tool for achieving…
…Agentic coding tools are compressing the interval between deploys, while also driving a growing share of the traffic that consumes them. While today AI tools can produce massive diffs, agents are gaining…
…Require identity and access policy before any internal tool is reachable. For AI and agentic systems: Route model traffic through a gateway. Keep agents connected through approved MCP servers. Log what they…
…The age of agents: cryptographically recognizing agent traffic Cloudflare now lets websites and bot creators use Web Bot Auth to segment agents from verified bots, making it easier for customers to allow…
…Secure agentic AI. As we move toward autonomous agents, MCP server portals provide a central registry and least-privilege control over how AI interacts with corporate resources like Slack or Confluence. This…
…EmDash is designed to be managed programmatically by your AI agents. It provides the context and the tools that your agents need, including: Agent Skills: Each EmDash instance includes Agent Skills that…
…For CI/CD pipelines and autonomous agents, Access service tokens allow you to give each agent a named identity. You can see that your code review bot used 5 million tokens this…
…to the Elastic Agent. What’s next As organizations increasingly adopt a Zero Trust architecture, understanding your organization’s security posture is paramount. The dashboards help with necessary tools to build a…