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Only 5% of firms trust AI agents for production after 85% launch pilots

Only 5% of firms trust AI agents for production after 85% launch pilots

Eighty-five percent of enterprises run AI agent pilots, but just 5% ship them in production, according to Cisco’s Jeetu Patel. The blocker isn’t “rogue agents” but the lack of a trust architecture that covers delegation, identity, and telemetry for action risk. Patel also outlined Cisco’s rapid security tooling and a push for AI-built products.

Summarised by Beize from a story on Venture Beat on 24 Apr 2026
GPT-5.5 launches with agentic computer control, narrowly beating Claude Mythos on Terminal-Bench 2.0

GPT-5.5 launches with agentic computer control, narrowly beating Claude Mythos on Terminal-Bench 2.0

OpenAI has unveiled GPT-5.5, positioning it as a major shift toward “agentic” work that can navigate software and complete multi-step tasks with less prompting. On Terminal-Bench 2.0, it narrowly edges Anthropic’s restricted Claude Mythos Preview. But the upgrade comes with sharply higher API prices and delayed developer access, while rollout is limited to ChatGPT subscribers.

Summarised by Beize from a story on Venture Beat on 24 Apr 2026

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OpenAI launches Workspace Agents to replace custom GPTs for enterprises with Slack and Salesforce work

OpenAI launches Workspace Agents to replace custom GPTs for enterprises with Slack and Salesforce work

OpenAI has introduced Workspace Agents, a business-focused successor to custom GPTs that teams can build or select from templates and deploy across tools like Slack, Salesforce, Notion, Google Drive, and Microsoft apps. Instead of pausing when you stop chatting, these agents run on a cloud coding backbone, can schedule long workflows, and operate under granular admin permissions.

Summarised by Beize from a story on Venture Beat on 24 Apr 2026
Google and AWS split AI agent control from execution, reshaping how enterprises will manage production agents

Google and AWS split AI agent control from execution, reshaping how enterprises will manage production agents

Enterprises are moving AI agents from experiments to production, and the key question is how to manage them. Google and AWS are taking opposite paths: Google emphasizes a Kubernetes-style control plane for governance and identity, while AWS pushes config-based harnesses in the execution layer for faster deployment. Both aim to reduce new risks like state drift in long-running agents.

Summarised by Beize from a story on Venture Beat on 24 Apr 2026
Anthropic Confirms Claude Degradation Was Triggered by Harness and Prompt Changes, Not Model Weights

Anthropic Confirms Claude Degradation Was Triggered by Harness and Prompt Changes, Not Model Weights

Developers reported “AI shrinkflation” as Claude appeared less capable, more repetitive, and less efficient with tokens. Anthropic’s technical post-mortem says the model weights didn’t regress, but three surrounding product-layer changes did: a reasoning-effort default, a caching bug that wiped thinking too often, and tighter verbosity limits. The company says it has reverted the fixes and reset subscriber usage limits.

Summarised by Beize from a story on Venture Beat on 24 Apr 2026
Are you paying an AI swarm tax Stanford finds single agents can beat multi agent systems

Are you paying an AI swarm tax Stanford finds single agents can beat multi agent systems

Stanford research warns enterprises may be paying a “swarm tax” for multi-agent AI systems whose gains disappear under equal compute. When both single and multi-agent setups get the same “thinking token” budget, single agents usually match or outperform multi-agent architectures on multi-hop reasoning. Multi-agent approaches help mainly when context is corrupted or fragmented.

Summarised by Beize from a story on Venture Beat on 24 Apr 2026

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Startup BAND raises 17 million to stop AI agents from becoming a fragmented mess

Startup BAND raises 17 million to stop AI agents from becoming a fragmented mess

After 18 months of “agent building,” BAND (Thenvoi AI Ltd.) targets the tougher next step: letting AI agents built on different frameworks actually collaborate. Exiting stealth with $17 million, it offers a deterministic “Slack for agents” interaction layer with multi-peer comms, identity-based permissions, and an enterprise control plane for auditability—positioned as infrastructure for a universal orchestrator.

Summarised by Beize from a story on Venture Beat on 24 Apr 2026
OpenAI unveils Privacy Filter to erase PII on-device before any cloud upload

OpenAI unveils Privacy Filter to erase PII on-device before any cloud upload

OpenAI has released Privacy Filter, an open-source model that detects and redacts personally identifiable information before data ever leaves an enterprise environment. Built from a gpt-oss variant, it runs locally on laptops or in browsers and supports large 128,000-token inputs. The tool targets fast, high-throughput privacy pipelines, but comes with a caution against treating it as a full safety guarantee.

Summarised by Beize from a story on Venture Beat on 24 Apr 2026
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