Build secure, compliant and responsible Gen AI (RAG) applications with confidence
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Continuously uncover Gen AI applications and the ingested data
Identify restricted data going through Gen AI applications
Use business-aware policy guardrails to secure Gen AI data
DATA PROLIFERATION IN GEN AI
Rapid pace of Generative AI innovation requires complete visibility of LLMs spanning deployment approaches, data sources and development environments. Continuously track the entire cloud estate for LLMs, frameworks, datastores and endpoints. In addition, detect sensitive data going through LLM frameworks and fine-tuned LLMs. Save time and cut costs by limiting the discovery to data going through Gen AI applications.
With Gen AI applications, context of data is as important as the restricted data itself. Organizations can now define proprietary phrases and terms to classify data beyond the conventional sensitive data. With the privacy-first data x-ray, uncover custom classifications (e.g. medical advice, company confidential, internal only) as well as PII,PCI, and PHI data (e.g. Social Security numbers, credit card numbers, health records) in constructed prompts, responses and ingested data of LLMs. Alert on any restricted data violations.
Data ingested in to Gen AI applications is no longer traceable and causes challenges for compliance and security. Powered by a novel live risk graph and machine learning technologies, Cloud Defense enables guardrails on data flowing through the applications to alert on regulatory violations such as restricted data movement, publicly exposed LLMs or data residency issues. Alerts are sent to the appropriate department, entity or application, reducing administrative overhead on the organization. Policies travel with Gen AI applications to ensure sensitive data stays in compliance at all times.
Generate alerts when data used to train Gen AI model is found to have residency violation or unsafe data movement. Reduce administrative overhead with custom policy controls at the organization or department-level. Policies travel with Gen AI applications to ensure sensitive data stays in compliance at all times.
Define custom phrases and terms to classify data beyond the traditional regulated data. Protect your intellectual property with privacy-first data x-ray to uncover restricted data in LLM prompts, context, responses and data lineage.
Organizations cannot protect what they cannot see. Continuously discover LLMs, frameworks, datastores and endpoints spanning deployment approaches, data sources and development environments. Track linkages between them on a live risk graph. Prevent data leakages through complete visibility and control.
CEO, RSA Security
ex-CTO, Cloud, Cisco and McAfee
ex-SVP, Securonix
VP, Cybersecurity, Mastercard
Chief Technology Officer, Alivecor
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