Opsin AI

AI Data Security 📍 New York, NY Est. 2023

Enterprise AI security platform enabling safe GenAI adoption with data protection, access controls, and policy enforcement.

Headquartered in New York, Opsin AI offers its Opsin Platform as a solution for organizations navigating the complexities of protecting sensitive data across the AI lifecycle while enabling responsible innovation. The platform is positioned within the broader AI Data Security category, where AI Security Intelligence tracks 43 companies building specialized capabilities.

Founded in 2023, Opsin AI is among the newest entrants in the AI Data Security space, building its approach from the ground up to address the current generation of AI security challenges.

Why Watch This Company

In a market where data is simultaneously AI's greatest asset and its most significant liability, Opsin AI offers a focused approach to protecting sensitive data across the AI lifecycle while enabling responsible innovation. As regulatory requirements tighten and enterprise AI deployments scale, solutions that can protect data without degrading model performance will command significant market attention.

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Founded
2023
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Headquarters
New York, NY
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Category
AI Data Security
Key Product
Opsin Platform
Opsin Platform
Enterprise AI security platform enabling safe GenAI adoption with data protection, access controls, and policy enforcement.
AI Data Security Landscape
AI Data Security →
AI Data Security addresses one of the most fundamental challenges in enterprise AI adoption: protecting the data that trains, tunes, and powers AI systems without crippling their utility. This category spans the full data lifecycle — from training data curation and privacy-preserving computation to real-time data loss prevention for AI interactions and post-deployment data governance.
43 companies tracked in this category

Key questions to evaluate any AI Data Security vendor — including Opsin AI:

Can the platform discover and classify sensitive data flowing into AI training pipelines and inference endpoints?
Does the solution support privacy-enhancing technologies like differential privacy, federated learning, or homomorphic encryption?
How does the vendor prevent AI-specific data leakage scenarios such as model memorization, training data extraction, or prompt-based exfiltration?
Is the platform compatible with major cloud AI services (Azure OpenAI, AWS Bedrock, Google Vertex AI) and self-hosted model deployments?

Deep-dive intelligence profiles with full market analysis, development timelines, and product breakdowns.

📊 Funding History & Investment Rounds
👤 Executive Team & Key Hires
🎯 Competitive Positioning Matrix
📡 Signal Tracking — M&A, Product, Partnerships
📈 Quarterly Revenue & Growth Metrics
🔗 Supply Chain & Integration Mapping

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Category Peers — AI Data Security

42 other companies in this category

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