Hot in Enterprise IT/VC - What's 🔥 in Enterprise IT/VC #335
What's 🔥 in Enterprise IT/VC #335ChatCPT in the enterprise, peeling the 🧅 back - Microsoft Security CoPilot 🤯Like all of you, I’ve been having a ton of fun with ChatGPT to help write and define job specs, summarize articles, and provide prompts for new articles. That being said, these are table stakes as every application touching an end user is adding this functionality to their apps. Why - because it just improves productivity assuming users understand that some definitive answers may not be correct 😃. At the moment, 1/2 of the boldstart portfolio is working on layering some capabilities into existing solutions, and every week at least 1/3 of the pitches we see include some reference to LLM models. The market is moving so fast that IMO first mover advantage for brand new startups may not be an advantage but potentially a disadvantage. As each week unfolds more and more breakthroughs are unleashed, and until the dust settles its hard to tell who’s doing what and who will own what. I know for a fact that last week’s OpenAI announcement with the ChatGPT App Store killed many a startup idea and I expect more of these announcements upcoming. However, what really excites me is digging a layer deeper and thinking through the second order effects on enterprise technology beyond code snippets for developers to security implications like vulnerability scanning, data privacy and security, and automated workflows. This week Microsoft released a preview of Microsoft Security Copilot 🤯, and it’s quite insane. If you haven’t seen this, check out the video below along with an expanded 3 minute one to show the capabilities. Thanks for joining us at #MSSecure today. If you missed it, check out the demo of Microsoft Security Copilot—the new product announced earlier: msft.it/6016gBdXY #AI Not only will it allow a security analyst to query using NLP but it can also pinpoint new threats helping find the signal from the noise, create automated workflows and runbooks to streamline incident response time, but also reverse engineer attacks and dig into malicious code to give analysts deep understanding of how to prevent future attacks. This is game changing for the security industry and Microsoft - it also states that "over time it will expand to a growing ecosystem of third-party products." As of now, Microsoft states that Security Copilot is trained on (The New Stack):
I’m sure Crowdstrike, Palo Alto and others are not waiting to get integrated as a third party data endpoint into Microsoft Security Copilot and working on their own versions, trained on their own data, to own the ❤️ and minds of security analysts. Other areas to think about include next-gen DLP technology (data loss prevention) to use it to auto categorize and label documents, data, text to perhaps block access on LLMs or to create rules around which data is allowed to be used to train models. What Databricks recently announced is also fascinating (see below) as it open sourced a LLM which can run on a single machine and can train a model on a small 50,000 word dataset for <3 hours on 1 machine (SiliconAngle).
Also check out portfolio co Cape Privacy as it allows non-security focused developers to confidentially process sensitive data with vision, voice and language models. Finally, how about protecting the security of the models themselves? I don't understand how anyone can believe LLM+plugins won't be a security disaster.
Take a simple app: "GPT4, send emails to people I'm meeting today to say I'm sick"
Sounds useful!
For this, GPT4 needs the ability to read your calendar and send emails.
What could go wrong..? The future is super exciting and we’re just scratching the surface of what’s possible with new LLM models and please reach out if you are building new capabilities for the new world! As always, 🙏🏼 for reading and please share with your friends and colleagues. Scaling Startups
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