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SOC 2 Compliant AI Platform: What the Certification Misses About AI Security
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SOC 2 Compliant AI Platform: What the Certification Misses About AI Security

via Dev.toJaipal Singh

Samsung allowed its semiconductor engineers to use ChatGPT in March 2023. Within 20 days, three separate employees had fed proprietary source code, chip yield data, and confidential meeting transcripts directly into the model. That data entered OpenAI's training pipeline. Samsung couldn't retrieve it. The vendor those engineers were using was SOC 2 compliant. SOC 2 is a controls framework built for SaaS companies handling customer records. It checks whether a vendor has policies for access management, encryption, and monitoring. It was not designed for AI-specific risks like training data absorption, inference logging, or model weight exposure. If you're evaluating AI platforms for enterprise use, SOC 2 should be the starting requirement on a much longer checklist. Here's what else belongs on it. What SOC 2 Checks vs. What AI Platforms Actually Risk SOC 2 evaluates five Trust Service Criteria. Each one matters, but each one also has a blind spot when applied to AI infrastructure. Trust

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