Building generative AI applications with access to foundation models, Using mature IAM-based security for cloud-locked AI agents
It provides secure, enterprise-grade AI model access but is deeply integrated into the AWS ecosystem and lacks portable identity features.
AI agent frameworks needing cryptographic verification of payloads, Scenarios requiring portable agent identity outside the cloud
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AWS Bedrock, for example, has crippling defects in its serving stack for Kimi’s K2 and K2.5 models that cause 20%-30% of attempts to emit tool calls to instead silently end the conversation (with no token output). That makes AWS effectively irrelevant as a serious inference provider for Kimi.
Hacker News • HackerNews • Use case: serving stack for Kimi's K2 and K2.5 models
if push comes to shove after that, we can redirect Claude to use the AWS Bedrock hosted Anthropic model in our internal Dev account.
Hacker News • HackerNews • Use case: Fallback infrastructure to host the Anthropic model when allowance is exceeded
Shows I can use AI and I've integrated into AWS Bedrock.
Hacker News • HackerNews • Use case: AI integration for a SaaS product
Also wrote an OpenAI Ollama Claude proxy that allows using on-prem models running on another server through Ollama llama.cpp and also using AWS Bedrock models when permissions are configured.
Hacker News • HackerNews • Use case: Used models via a custom proxy when permissions were configured.
AWS Bedrock and Google Vertex have the most mature security -- but it's IAM-based and cloud-locked. No portable agent identity.
Hacker News • HackerNews • Use case: Evaluating security and identity features for AI agents
Verifying through GitHub and Stripe history is a much more modern approach to trust than just a passport.
Product Hunt • ProductHunt • Use case: Getting approved by US banks after previous rejections, using alternative data for verification.
The idea of using your actual digital work history as proof of legitimacy is long overdue. Built by founders who lived it shows — this is the kind of problem only insiders solve properly.
Product Hunt • ProductHunt • Use case: Seeking US bank account approval for founders/developers from restricted regions, using digital work history as proof of legitimacy.
every AI agent framework today — ... AWS Bedrock — treats incoming payloads as legitimate by default. There's no cryptographic verification that a payload was actually sent by the agent who claims to have sent it.
Hacker News • HackerNews • Use case: AI agent framework and model service
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