With 42% of organizations allowing AI agents to act autonomously, GRC leaders face unprecedented oversight gaps. When decision-making accelerates without central visibility, risk escalates rapidly across business operations. The 2026 agentic enterprise report delivers actionable insights to help risk leaders unify oversight, establish clear boundaries, and transform agentic AI into a strategic advantage without sacrificing control. Key topics covered include: ✅ Balancing AI decision-making authority with central visibility ✅ Mitigating systemic risks across autonomous agentic workflows ✅ Actionable benchmarks and proactive control strategies Get the report - thn.news/agentic-enterprise-…

It's never been easier to make an AI agent at work. This startup is trying to protect companies from agents going rogue. bit.ly/4jXP6dB

The biggest bottleneck at work is waiting on each other. Today Town is announcing its $108M Series B, co-led by Forerunner Ventures and Menlo Ventures, to fix it with multiplayer AI assistants for work. Most AI assistants are built for one person. Work doesn't happen alone. I think the moat is multiplayer. Everyone at a company gets a Townie. Townies ask each other questions, share only what their person would share, and do the work. The more a team works together, the more useful Townies get. What's the thing you're always waiting on a teammate for?

Agent swarms are going to be a core part of many enterprise workflows in the future. The ability to throw compute at problems that you can massively parallelize will be too useful to not take advantage of. Cyber will be one of the biggest beneficiaries of this as it’s a space where testing vast number of permutations of attacks (without getting tired or bored) is an incredibly useful property. You have a wide search space of possible risk vectors and you generally need to be able to chain together different scenarios to achieve the exploit. This will become one of the biggest token uses in large enterprises given the range of IT systems, software, physical infrastructure, and data that needs to be protected at all times. Super interesting times in cyber.

Aaron Levie (@levie) predicts a roughly 100x jump in AI compute once enterprise agents stop waiting for a human to start each task: "Where the massive, probably 100x increase in token and compute consumption will ultimately come from is all of the enterprise workflows and enterprise workloads." "Most agents that we're all kind of looking at or thinking about are me sending a task to an agent, that agent basically doing some work for me to speed up three or five hours worth of work in 10 minutes. But it's usually still rate limited by my ability to give that agent a task." "The really, really big increase in compute and, by extension, effectively agentic workflows is going to be when I deploy agents, maybe in swarms, maybe just in background kind of operations at some kind of frequency." "We will start to look at every problem through the lens of how much compute can we throw at this problem to solve it either faster or with higher efficacy." "Everything I just said is still a one to two decade process of rolling out. This is not a thing where there's sort of vertical takeoff across these workflows because of how much change management is necessary to do anything that I just said." - Aaron Levie, Box co-founder and CEO, on MTS in an interview uploaded October 14. The last quote comes from later in the same interview.