As companies move from experimenting with AI agents to deploying them in production, one pattern becomes clear: capability without control is a liability.
Agents operate in long-running, stateful environments. They browse the web, read repositories, execute shell commands, call APIs and interact with internal systems. That power is transformative — and it meaningfully expands the attack surface.
In a recent interview, Jonathan Wall, CEO of Runloop, summarized the shift: “By default, agents should have access to very little. They need to do real work, but capabilities have to be layered on in a controlled way.” That framing reflects a broader industry reality: agent infrastructure must be designed around least privilege, explicit isolation and observable execution.
What follows is a practical control architecture for production agents.
The layered control model
A resilient agent deployment combines six explicit layers:
Strong runtime isolation with a microVM
Restrictive network policy w
Ethereum trades at $2,329.78 as AI agents use its network for Onchain tasks, contracts, and programmable payments. Ethereum is drawing fresh attention as developers link artificial intelligence agents with Onchain tasks, smart contracts, and programmable payments. The network is being presented as a base layer where AI systems can act, verify identity, and move value. […]
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Coinbase x402 is now native to Amazon Bedrock AgentCore, letting AI agents pay for services in USDC without human input Coinbase x402 is now native to Amazon Bedrock AgentCore, letting AI agents pay for services in USDC without human input.…
AI Library, an outcome-based software delivery startup founded in 2023 by Arani Chaudhuri, has raised $560,000 in pre-seed funding at a $7.5 million valuation cap to accelerate its AI agent-driven approach to enterprise software deployment. The company’s platform automates the software delivery lifecycle using AI agents with human oversight, targeting enterprise functions including finance, operations, […]
I counted at least 10 events in San Francisco last night aimed at matching AI startups with VCs. Just another Thursday.
But what made Camp AI’s “Agents at Work” event (hosted by Auth0) stand out was its showcase of companies that are in various stages of reorganizing their engineering processes around AI agents. Browserbase, Mastra, Fireworks AI, Drata, Mya, MindFort, and Corridor are all part of the vendor ecosystem trying to enable secure and performant agentic AI, but the most revelatory stories were their own successes and the challenges they faced restructuring their engineering orgs for agents.
Agentic AI is reshaping team structures
Paul Klein IV, founder and CEO of Browserbase, delivered the night’s most memorable line while discussing the speed of AI adoption inside engineering teams. “If AI is not doing your whole job it’s a skill issue at this point,” said Klein.
Abhi Aiyer, founder and CTO of Mastra, said the result is dramatically smaller teams capable of executing much l
I left Google ten days ago to found my own company. It's been quite a journey figuring out how things work outside of the mothership, and I'm genuinely excited to share what I've learned from both sides of the house...
As agents move past demos and into enterprise workflows, organizations are confronting the governance, infrastructure and operational problems posed by more autonomous AI systems.
Insider Brief PRESS RELEASE — Nace.AI has announced it has raised $21.5 million in seed funding, led by Walden Catalyst with participation from General Catalyst and a group of leading institutional and angel investors. Alongside the raise, the company is launching its new product in research preview, a new model for professional work where 100+ specialized AI agents […]
If you’re an aspiring AI engineer looking to sharpen your skills, building AI agents is one of the most effective ways to get hands-on experience. AI agents represent practical applications of AI across domains, from personal assistants and recommendation systems to financial traders. Here are 10 AI agents every engineer should build. For each, you’ll […]
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