How can a multi-national build a strategy around 1 vendor given the continued business risk showing up in AI models?
This is the basis of the work we are doing on AI Control Tower that routes work through the right model with full visibility across 1p & 3P AI, machine identities, spend etc.
The idea that a LLM vendor sees and stores all queries for 30 days is pretty hard for me to stomach as a technology vendor, or almost any vendor
You are essentially handing Anthropic or OpenAI the logic that runs your business.
Is there an proxy play an AI platform in the enterprise could play?
Could that harness also cut your token spend by routing to the right models and combining deterministic steps and token burning (probabalistic steps) in the right mix?
That's what we are building at @ServiceNow and this weekend's shutdown accelerates our mission for enterprises. https://t.co/Pvg4HWd7qw
@JayaGup10 Additionally: Why burn a token if you don't need to?
Combine deterministic workflows with Intelligence. Not one or the other. Doing so delivers 2 key things.
1.) Lower token cost
2.) Better outcomes by reducing the probabalistic steps to only those necessary.
If they are a large enterprise, ServiceNow AI Control Tower discovers 1st and 3rd party AI, manages it, and maps to business use cases and ROI. The platform also model mixes so that you can run the right workloads through the right model and manage cost.
Outside of large enterprises, not sure what people are doing. Inside of large enterprises, this is where we see everyone going.
Think about it like a CMDB, if a new device hits your network it is discovered, managed, tracked.
Same with new agents, new agentic identities, new AI workflows across any cloud, token spend etc.
@lifeofjer We asked Jer every question this thread left unanswered — starting with: why didn't you stop the agent?"
Blog: https://t.co/NguJfLRanm
YouTube Screenshare of Jer's environment: https://t.co/LnolFdSkNH
YouTube Interview: https://t.co/3f7m750EJZ
Everyone was talking about @pocketosai and how an AI Agent deleted the company but no one got @lifeofjer to share his screen so that we could all learn form his experience. Until now.
I asked Jer to open his laptop and he was brave enough to sit down with me to tackle the toughest questions from X, Hackernews, Reddit, ServiceNow, and Tom's Hardware. Here it is, unpolished and real, the blog, and the recordings.
We're still in the Dr. Ian Malcolm/Jurasic Park phase of AI. "So preoccupied with whether or not we could, no one stopped to think if we should"
https://t.co/KU0LQHPDX0
As Samual L. Jackson reminded us. "Hang on to your butts!"
This is the first of many of these stories we will dive into on @AgentsGoWild give us a follow if you want to see the AI challenges and learn how to avoid them.
AI is the biggest tailwind for cybersecurity therefore it is also the biggest accelerant for cyber risk.
In the enterprise, AI needs a harness, it needs to run on a platform with identity controls, automated workflows, and governance from the start.
If the CISO at a major bank isn't sleeping, can anyone?
The only way to match an adversary moving at machine speed is to defend at machine speed. That's not just a staffing problem. It's an tooling problem.
Mythos is going to put this all into motion at warp speed.
"Our security team hasn't slept properly in 3+ months." That's a CISO at a major U.S. bank.
"Take whatever number of people you thought might be in jobs related to AI deployment in the enterprise and multiply it by 10. Then probably 10 again."
That's @levie with a clear eyed take on AI
Here's why nobody in security is sleeping. A thread. 🧵
This is a compounding crisis.
More identities → more permissions → more vulnerabilities → across more apps → exploited faster → by fewer defenders.
Unless your teams have tools can sense, decide, and act at machine speed with governance and security built in, they won't be sleeping properly in any version of the future I can see.
"Lock the agent in the room and let it party" ....... 8 a.m. at the @ServiceNow + @nvidia Session.
OpenClaw for the Enterprise.......Agents Gone Wild.........Kill Switches........
What is happening at Knowledge26?
Enterprise AI is moving faster than people might typically expect.
Yesterday ServiceNow released "Australia" and put 4 superpowers in the hands of Enterprise IT to enable AI safely and quickly.
They put a kill switch in AI Control Tower and connected it to all of your agents, data, identities, devices, and enterprise context.
Now a room of the largest companies in the word is exploring what only startups could even imagine building 12 months ago..... "the enterprise harness for long running, self-evolving, autonomous agents named after crustaceans".
A LLM did not create this post, nor did it name this. I'm fairly certain those words have never appeared together in a sentence before.
Day 1 Wrap up Here.
https://t.co/080Y0jAExq
@Taakkeshi@theaiportfolios@grok No, it is not. I know the humans who filmed it and where they filmed it and on which day they filmed it. @grok You are welcome.