Generative AI Data Security

As the GenAI landscape grows, its intertwined privacy concerns are surfacing in tandem. 

Some of the most pressing privacy concerns are associated with unconscious error - such as a lack of employee education which in turn, prompts data misuse and resultant biased outputs. 

Other privacy issues are related to data processing, and they vary from having a lack of clear consent mechanisms, to not treating content in regards to the data retention guidelines that govern it. One culprit is beyond the control of many enterprises - and that’s algorithmic transparency, serving to hinder internal understanding and control over privacy implications.

Portal26's Generative AI data security and governance solution has been designed to facilitate the responsible use of AI.

We’ve Implemented robust encryption and anonymization techniques, which protect sensitive data used in generative AI processes. Our solution also features advanced access controls, to ensure that only authorized individuals have access to critical assets. Our solution also incorporates compliance, helping businesses to align applications with data privacy regulations. 

We keep our solution timely by offering continuous updates and testing, giving enterprises insights on any evolving security threats and vulnerabilities. The entire platform is governed by transparency, keeping operations in check and maintaining GenAI audit trails and forensics for accountability. 

Within any enterprise, the CEO and CISO are figureheads in safeguarding and driving secure AI application, as well as making key decisions about their GenAI budget allocation. CEOs provide strategic oversight to associate business objectives with AI usage, and they can also maintain consistent stakeholder communication. 

The CISO complements this by designing and implementing a robust security architecture for generative AI systems, ensuring that this framework is fully compliant with wider regulations and internal policies. A CISO also shapes the education initiatives that are necessary to ensure employees that will be deploying GAI technology, in a way that doesn’t compromise data security.

A data privacy vault is a digital facility that isolates and stores critical assets, and this solution serves companies with a range of benefits. Access to a vault system is restricted at all times, and this gives enterprises granular control over who can see or manipulate its contents. Consequently, access management is typically assigned to a key figure within an organization, such as a CISO who manages GenAI applications.

If, as an organization, you have acquired or have access to any volume of private or sensitive data (of an external or internal nature), then you’d benefit from storing it in a data privacy vault.

The vault provides a secure and centralized location for storing data, allowing businesses to maintain control over the geographical location where data is stored, meeting data residency requirements. In terms of compliance, a data privacy vault enables businesses to adhere to data protection regulations like GDPR by providing a secure environment for sensitive information, and ensuring that data handling practices align with legal requirements.