Generative AI Data Security

Learn To Manage GenAI Data Security Risks Within The Enterprise

As GenAI expands your company’s threat surface, Portal26’s production-ready security framework enables organizations to scale GenAI safely without compromising operational efficiency.

Navigate GenAI Risks With Confidence

Cyber risk intensifies as GenAI rollouts put powerful tools in the hands of every employee that can intensify data, IP, and privacy risks.  CISOs must integrate GenAI into incident response, redefining alert thresholds, access rights, and behavior monitoring for production environments to lower these risks.  .

Real-Time Threat Detection
Real-time threat detection specifically tailored to generative AI workloads, providing the reliability and precision required for production environments where false positives disrupt operations and false negatives expose vulnerabilities
Comprehensive Risk Understanding
Gain deep understanding of how GenAI adoption expands your threat surface across endpoints, identity services, and collaboration tools, while maintaining comprehensive oversight without compromising operational efficiency.
Production-Ready Security Framework
Scale GenAI safely by maintaining the visibility and control established in earlier phases while adapting to the increased complexity of enterprise-wide deployment across departments and use cases.
Data Security and Compliance
Make sure your sensitive information and that of your customers is kept safe, compliant, and secure from unauthorized access.

The ultimate solution for organizations scaling GenAI in production environments

As GenAI usage expands across departments, security teams face broader and more sophisticated attack vectors. Many security teams are not fully prepared for the complexities of AI adoption in enterprise production environments, resulting in critical vulnerabilities and major GenAI security gaps.

Before Portal26

  • Unprepared security teams facing AI adoption complexities 
  • Shadow AI creating unexpected risks and compliance issues 
  • GenAI expanding threat surfaces through multiple touchpoints 
  • Attack vectors becoming broader and more sophisticated 
  • Lack of AI-specific threat detection capabilities Unable to integrate 
  • GenAI into incident response effectively
  • False positives disrupting business operations 
  • Security standards not evolving with GenAI capabilities

After Portal26

  • AI-ready security teams with tailored GenAI expertise 
  • Shadow AI detection and mitigation across all environments 
  • Comprehensive oversight of expanded threat surfaces 
  • Real-time threat detection specifically for GenAI workloads 
  • Confidence scoring for production-environment precision 
  • Integrated GenAI incident response with redefined thresholds 
  • Minimal false positives through tailored detection algorithms 
  • Security, compliance, and governance evolving with GenAI growth

Experience Production-Ready GenAI Data Security

Portal26’s integrated approach allows CISOs, CIOs and Risk Officers  to confidently support GenAI production rollouts while ensuring that security, compliance, and governance standards evolve alongside your organization’s growing GenAI capabilities. Transform complex AI security challenges into strategic advantages. 

Your GenAI Data Security FAQs

Businesses can introduce a series of measures to protect critical assets - and they cover pre, during, and post implementation stages.

In the pre-implementation stage, enterprises should follow secure GenAI development practices. To add an extra layer to this, businesses should also have a robust cybersecurity protocol in place that will cover the exact nature of their GenAI applications, as this will protect against external threats; internal threats can be addressed through strict access controls, designed to limit critical asset visibility to only authorized personnel.

During and post-implementation, key figures should determine reasonable touch points for conducting audits and testing. The insights from these processes will inform heightened resilience of systems against potential attacks.

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.

Have more questions? Contact us at info@portal26.ai or schedule a demo to get personalized answers.