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An international enterprise specializing in technology innovation sought our expertise to assess and secure their large language model (LLM) ecosystem. These AI models were deployed across multiple business units to support operations, customer interactions, and decision-making processes. The client required a robust security framework to prevent adversarial attacks, ensure compliance with global data protection regulations, and safeguard proprietary intellectual property leveraged by the LLMs.
The deployment of LLMs in customer-facing applications exposed them to prompt injection attacks, unauthorized queries, and model manipulation attempts.
Model access spanned geographically dispersed teams, increasing the risk of unintentional exposure and breaches.
Sensitive enterprise data used for model fine-tuning risked inadvertent exposure through inference or adversarial probing.Existing systems lacked safeguards like differential privacy and secure access controls.
Ensuring global compliance, particularly with GDPR, CCPA, and other regional data privacy laws, posed a significant challenge.
Significantly Improved Security
Reduced exposure to adversarial attacks by 80%
Prevented data leakage incidents through robust input sanitization
Enhanced Compliance
Achieved full compliance with GDPR, CCPA
Increased Operational Confidence
Stakeholders reported a 70% increase in trust in the system
Scalable Solution
Delivered a modular security framework adaptable for future LLM iterations
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VE3 enabled the client to secure their LLM ecosystem while maintaining performance, compliance, and innovation speed. The solution supports safe AI expansion across business units with long-term resilience.
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