InfoQ - Agentic AI Architecture

Cloudflare WriteGuard Brings Fine-Grained Security Controls for MCP Servers

Sergio De Simone — Tue, 18 Aug 2026 16:00:00 GMT

Cloudflare is introducing WriteGuard, now in private beta, to provide fine-grained security controls for MCP (Model Context Protocol) servers. It aims to make AI agents safer by controlling their access to tools that can modify data or perform actions, rather than simply read information.

By Sergio De Simone

Netflix Open-Sources Agentic Workflow for Causal Inference

Anthony Alford — Tue, 18 Aug 2026 13:00:00 GMT

Netflix open-sourced an agentic workflow for Observational Causal Inference (OCI) that reduces toil in causal analysis. Given observational data and the human user's analysis plan, the agent uses an actor-critic loop to estimate causality, write a report, and suggest next steps.

By Anthony Alford

SpaceXAI Launches Grok Bot for Autonomous AI Agents

Daniel Dominguez — Mon, 17 Aug 2026 18:02:00 GMT

SpaceXAI has introduced Grok Bot, a system of persistent AI agents that operate on dedicated cloud computers and can interact with websites, applications, inboxes, and other tools.

By Daniel Dominguez

Grab Cuts Mechanical Analytics Work From 44% to 30% with AI Agents

Leela Kumili — Mon, 17 Aug 2026 13:41:00 GMT

Grab is using AI agents to automate analytics workflows, cutting mechanical analyst work from 44% in February to 30% in June. Its approach combines agent autonomy, certified data, context management and human oversight, with self service analytics increasingly handling metric, data and SQL requests without analyst intervention.

By Leela Kumili

Article: Agentic Fitness Functions: Extending Evolutionary Architecture Beyond Deterministic Rules

Hemant Kumar Mahato, Łukasz Sieczkowski, Vijayasenthilkumar Kuppusamy — Mon, 17 Aug 2026 11:00:00 GMT

Deterministic rules safeguard hard metrics, but what about architectural intent? Discover how agentic fitness functions combine AI agents and versioned rubrics to evaluate complex, judgment-heavy concerns—such as boundary fidelity, semantic contract drift, and stale ADR assumptions. Elevate evolutionary architecture governance with continuous, calibrated feedback loops.

By Hemant Kumar Mahato, Łukasz Sieczkowski, Vijayasenthilkumar Kuppusamy

AWS Open-Sources Dogwood, Extending Cedar to Govern Sequences of Agent Tool Calls

Steef-Jan Wiggers — Sun, 16 Aug 2026 07:26:00 GMT

AWS has open-sourced Dogwood, a policy language extending Cedar with temporal conditions so rules can reason about an agent's prior tool calls rather than one request in isolation. It covers approvals, rate limits and running totals, ships under Apache 2.0, and is supported in AgentCore Policy, though the reference interpreter is not production-ready.

By Steef-Jan Wiggers

Presentation: From Models to Agents: Building Context-Aware Consumer AI at Scale at DoorDash

Sudeep Das — Sat, 15 Aug 2026 11:00:00 GMT

Sudeep Das shares how DoorDash shifts from legacy one-shot predictions to an agentic recommendation platform. He discusses leveraging language-native consumer memory, RQ-VAE semantic IDs for catalog representation, and grounded search to dramatically boost relevance and conversion metrics.

By Sudeep Das