Hi HN,I’ve been working on a system that runs multiple AI agents in parallel to perform structured research instead of generating a single summary response.One use case I tested recently was stock research.When you properly research a stock like NVIDIA, you usually open multiple tabs:- Financials - Earnings reports - Analyst sentiment - Competitors - Recent news - Risks - Market positioningMost...
LLM security isn’t a one-and-done, it’s an ongoing process, especially as attack patterns keep getting more subtle.
If you’ve seen other use cases or edge cases worth considering, we’d love to hear them. And feel free to ask more questions, really appreciate your input!
We've been building a middleware layer that acts like a firewall for LLMs, it sits between the user and the model (OpenAI, Claude, Gemini, etc.) and intercepts prompts and responses in real time.It blocks prompt injection, flags hallucinations, masks PII, and adds logging + metadata tagging for compliance and audit.But we’re hitting the classic startup blind spot: we don’t want to build in a...
Most companies are excited about GenAI, but scared to use it.Why? Because they have no control over what the AI sees, says, or shares.We kept seeing this problem in enterprise GenAI rollouts. Tools like GPT or Claude are getting embedded into dashboards, chatbots, and workflows, but there are no guardrails in place.So we built Dapto. A drop-in firewall that sits between users and the model. It...
Hi HN, We’ve been working on a problem we kept seeing in enterprise GenAI rollouts:As tools like GPT, Claude, and Gemini get embedded into dashboards, support tools, and business systems, most organizations have no control or context over what the AI sees, says, or shares.That creates serious risks: - Hallucinated answers - Prompt injection attacks - Data and PII exposure - Industry...
We’ve run into scenarios where LLMs exposed internal data just through cleverly crafted prompts. Your ability to inspect and enforce policies at both prompt and response level is spot on.
If I were in your shoes, I’d seriously consider open-sourcing the data plane, especially since your control plane is where monetization lies. It builds trust, invites contributions, and positions you as a default in this emerging category.
And no, you're not early, you're exactly on time. Most companies are just realizing how much risk they’ve shipped into production.