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Saturday, 24 October 2026
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TENESYS AI NEWS tracks the most important AI news and explains what changed, why it matters and whether a technology is worth testing.

“Anthropic” — 10 articles ✕

Agents· 🧪 Worth Testing

Claude Platform Gets Beta OpenTelemetry Tracing Support

Anthropic rolled out a beta tracing feature that exports OpenTelemetry spans from both the Messages API and Claude Managed Agents sessions. Developers using the Claude SDK can now capture these spans natively in seven languages: Python, TypeScript, C#, Go, Java, PHP, and Ruby. Enabling the feature requires setting up a destination for the telemetry data inside the Claude Console.

Claude Platform Release Notes
Cyber Security· Important

Tamnoon uses Amazon Bedrock agents to automate cloud security remediation

Tamnoon built Tami, an agentic orchestrator on Amazon Bedrock that investigates cloud security findings from CNAPPs and cloud providers, scores remediation safety, and generates fixes with guardrails. The company reports a greater than 90% reduction in critical cloud exposure within 90 days with zero production issues. The system uses four specialized agents (investigation, safety-scoring, remediation, code-generation) each calling different foundation models through Bedrock, with Bedrock Guardrails and Cross-Region inference providing safety and scale.

AWS Machine Learning
Agents· 🧪 Worth Testing

Anthropic Lets Managed Agents Build Their Own Multi-Phase Workflows

Anthropic has introduced a beta option on its Claude Platform that allows a Managed Agents agent to construct its own workflow for large, multi-part jobs, such as going through hundreds of documents. Instead of handling everything in one pass, the agent splits the task into phases, delegates pieces across multiple sub-agents, and merges their output into a single result. The job is handed off to the server, which executes it asynchronously and reports progress through a stream of events.

Claude Platform Release Notes
Agents· Important· 🧪 Worth Testing

AWS and Postman detail how Agent Mode scales AI agents to 40 million developers on Amazon Bedrock

AWS published a joint engineering write-up with Postman describing how Agent Mode, Postman's AI-native interface for API testing and documentation, was built to run in production at scale. Rather than model quality, the team found that tool sprawl and missing context were the biggest obstacles to reliable agent behavior. The post details architectural patterns including dynamic tool scoping, schema-based query access, dedicated context handlers, and how Amazon Bedrock provides model flexibility, cross-Region inference, data residency controls, and prompt caching.

AWS Machine Learning
Cyber Security· Important

Anthropic launches Cyber Mission to defend critical infrastructure and open-source software

Anthropic has announced the Cyber Mission, a long-term initiative to help defenders secure operational technology and open-source code using Claude models. It includes the Critical Infrastructure Defense Program, built with partners like Accenture, CrowdStrike, Deloitte and Rockwell Automation, and the free OSS Scanner tool that scans open-source projects for vulnerabilities. The effort builds on lessons from the earlier Project Glasswing, now merged into an expanded Cyber Verification Program.

Anthropic
Agents· Important· 🧪 Worth Testing

Google launches 'Gemini agent': a single universal AI agent for work across Workspace and enterprise systems

Google Cloud announced the Gemini agent, a unified agent that combines chat, knowledge work, content creation, and coding into one interface accessible across devices and channels. It integrates directly inside Gmail, Docs, Sheets, Slides, Chat, and Calendar, connects to enterprise tools and databases via MCP and a tools registry, and orchestrates across multiple models — including Google's Gemini family and Anthropic's Claude — to balance quality and cost. Google also detailed security/governance features, cost controls like Smart Routing and spend caps, and shared customer results from companies like BNP Paribas, Bradesco, and Orange Spain.

Google Cloud AI
Models· Important· 🧪 Worth Testing

Anthropic releases Claude Haiku 5.5 with 1M token context and adaptive thinking

Anthropic has launched Claude Haiku 5.5 (claude-haiku-5-5), positioned as its most capable Haiku model for high-volume, latency-sensitive work. It supports a 1 million token context window, up to 128k max output tokens, and adaptive thinking controlled via a new effort parameter. The model is available on the Claude API, Amazon Bedrock, Claude Platform on AWS, Google Cloud, and Microsoft Foundry. Anthropic warns that code written for the previous Haiku 4.5 model may break on the new version.

Claude Platform Release Notes
Cyber Security· Important· 🧪 Worth Testing

Cloudflare deploys multi-agent AI harness to triage security alerts at scale

Cloudflare built an AI agent system for its Managed Defense security service to handle the flood of alerts that overwhelm human analysts. Instead of one general-purpose agent analyzing everything, the system separates deterministic data collection from model-based reasoning and runs four specialist agents in parallel before a synthesis agent combines findings. The company says this reduces hallucinations and makes investigations auditable and reproducible.

Cloudflare Security
Cyber Security· Important

Anthropic expands Cyber Verification Program with three access tiers for security teams

Anthropic has merged its Project Glasswing and Cyber Verification Program into a single, expanded CVP with three access tiers: Defense Access, Red Team Access, and Specialized Access. Each tier unlocks progressively fewer safety blocks on cyber-related tasks in Claude Opus 5.5, Claude Sonnet 5.5, and Claude Mythos 5.1 for vetted security organizations. Anthropic also published benchmark results and vulnerability-discovery numbers from the earlier Glasswing program to justify the expansion.

Anthropic

Anthropic Commits $100M to Train Enterprise Engineers in Deploying Claude

Anthropic has launched the Claude Frontier Academy, a $100 million program designed to address a shortage of skilled staff capable of implementing AI inside large organizations. The goal is to certify a large number of so-called Frontier Deployed Engineers by the close of 2027, with early participants coming from firms including Accenture, Bain, Capgemini, Commonwealth Bank of Australia, Deloitte, McKinsey, Morgan Stanley and Novo Nordisk. The flagship course, a residency modeled loosely on medical training, combines an in-person intensive with a 12-week supervised project inside the engineer's own company before certification.

Anthropic