Dual Model Sandboxing Solution

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Dual Model Sandboxing Solution

Inspired by a conversation on:

Super Data Science: ML & AI Podcast with Jon Krohn

Super Data Science: ML & AI Podcast with Jon Krohn

928: The “Lethal Trifecta”: Can AI Agents Ever Be Safe?

Host: Jon Krohn

Timestamp: 00:03:11 - 00:03:38

Listen to Episode • View Podcast • All Ideas from Super Data Science: ML & AI Podcast with Jon Krohn

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Feather Flow

Direct Quote

"One promising approach is dual model sandboxing, where an untrusted model handles risky inputs, but it's quarantined."

Market Gap

AI systems lack secure handling of untrusted inputs.

AI systems face significant challenges when managing untrusted inputs, particularly in cases where sensitive or private data is involved. The inability to adequately isolate and manage these inputs can lead to harmful actions taken by AI models, such as data exfiltration or executing unintended commands. Existing solutions often don’t properly address the need for secure handling of such data, leaving organizations vulnerable to exploitation. As AI continues to permeate various sectors, the demand for secure processing solutions is escalating, making it a critical area for development.

Summary

The dual model sandboxing solution proposes a novel approach to managing untrusted inputs in AI systems. This system would involve two separate AI models: one untrusted model that handles risky inputs, which is quarantined and unable to perform dangerous actions, and a trusted model that accesses sensitive data through controlled interfaces. By isolating the models, organizations can ensure that even if the untrusted model is compromised, the trusted model remains secure. This solution could be marketed to organizations implementing AI in sensitive environments, providing peace of mind and enhancing compliance with data protection regulations.

Categorization

Business Model
SaaS
Target Founder
Technical
Difficulty
High
Time to Revenue
6-12 months
Initial Investment
$10,000+

Potential MRR (18-24 months)

Conservative
$5,000 - $15,000 MRR
Moderate (Most Likely)
$20,000 - $40,000 MRR
Optimistic
$50,000 - $100,000 MRR

* Estimates assume solo founder/bootstrap scenario with competent execution

Scores

Clarity
9/10
Novelty
8/10
Feasibility
6/10
Market Potential
9/10
Evidence
8/10
Overall
8/10
Found on October 3, 2025 • Analyzed on October 3, 2025 1:59 PM

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How should I validate this saas idea before building it?

2:34 PM

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