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Frosti – Access Management Copilot

Hacker News

Frosti – Access Management Copilot

Developers are overwhelmed by the hundreds of built in roles and thousands of permissions across AWS, GCP, and Azure. What if the developer was freed from the task of identifying the specific, least privileged role assignment or defaulting to the broad owner/contributor roles? Frosti is an Access Management Copilot that will allow developers to request Just In Time access to the resources they need by describing their task in plain english rather than platform specific permissions. For example, tell Frosti “I need to rotate a secret in Azure Key Vault” and Frosti will respond “Request the Key Vault Secrets Officer role”. We imagine this becoming a Teams app which could generate a PIM request on the developers behalf, but for demo purposes we started with a simple standalone web app for role recommendations. Let us know what you think. Try Frosti: https://www.tryfrosti.com/beta Demo Video: https://www.youtube.com/watch?v=XL5pOFjY7Pg According to the MSFT’s State of Cloud Permission Risks Report, over 50% of identities are super admins, and only 1% of permissions granted to identities are actually used. But who can blame the employees for over privilege? Here’s a scenario you see every day. You are working on a new project and need access to a resource, let’s say an Azure AI model. The resource owner has to pour over the IAM docs to pick the proper role out of the hundreds of built in roles. Often this first attempt fails (maybe they granted you access to the notebook but not the underlying cluster or data). Six iterations later you still don’t have the proper access, so they give up and add you as owner to the entire resource group and every relevant security group they can find. Since this works, no one bothers to later remove access and risk breaking your workflow. So what’s the solution? To end the continuous chore of removing access, we need a simpler way to achieve “Zero Standing Privileges”. Rather than putting the onus on the developer to request the proper, time bound role, let them simply describe their task. This will simplify the process of picking a least privileged role and stop the common practice of developers defaulting to owner or contributor roles out of convenience.

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Product HuntOn track for Day 1 leaderboard · Strong signals: model, new, plain · Missing: mac, agents, macos
87%87% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
best fitHighest predicted score across all platforms for this description.
Indie HackersFits the IH revenue-focused audience · Strong signals: started · Missing: supports, reddit linkedin, podcasting
72%72% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsMay not resonate with HN audience · Strong signals: ide, io · Missing: https docs, excited, just released
46%46% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
TrustMRRLess likely to generate early MRR · Strong signals: video, way · Missing: mobile apps, ios, personal
45%45% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
AppSumoMay struggle as an AppSumo deal · Strong signals: platform · Missing: plus, intuitive, reviews
30%30% predicted probability of success on AppSumo, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
16%16% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

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