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In the age of generative AI, data security is a key concern for organizations to manage. In my previous blog post, I dug into how modern SSE technology helps to better secure genAI. The recently published ebook Securing GenAI for Dummies offers further clarity on strategies organizations can use when it comes to securing and enabling genAI apps.
With that in mind, we’ve compiled 10 essential questions to keep in mind as you assess your data security, along with how Netskope can help address them.
- Are your employees data security savvy? Ensuring employees are data security savvy is vital. Regular training is essential, covering topics like anonymizing personal details and safeguarding intellectual property. Netskope fosters a security-conscious culture, providing resources to keep employees informed and maintain a high standard for data security.
- Are your security measures as agile as generative AI? Security measures must keep pace with the rapidly evolving landscape of generative AI. Netskope Intelligent SSE offers real-time insights and threat intelligence to ensure security measures remain agile and capable of addressing emerging challenges.
- Do you know who uses what generative AI tools and how? Shadow IT poses a genuine risk, requiring analytics tools to understand who uses what generative AI tools and why. Netskope provides comprehensive oversight, uncovering hidden apps and offering insights to manage risks effectively, ensuring data governance remains intact.
- Can you measure the risk each generative AI tool presents? Understanding and quantifying the risks associated with each generative AI tool is crucial. Netskope provides detailed insights into the security posture of each application with its Cloud Confidence Index score, allowing for informed decisions and proactive risk management.
- What’s your strategy for limiting the use of high-risk generative AI apps? Implementing strategies to control access to high-risk generative AI apps requires precise access policies and insights into app usage. Netskope enables organizations to enforce access control policies effectively, ensuring only safe applications are used.
- Are you coaching users in real time to reinforce secure behavior? Real-time coaching is essential to reinforce secure behavior when using generative AI tools. Netskope offers context-aware security prompts that educate employees at the point of potential risk, embedding security awareness into daily operations.
- Can you recognize your sensitive data and track its journey within generative AI environments? Tracking the journey of sensitive data within generative AI environments requires comprehensive visibility and control. Netskope’s advanced Data Loss Prevention (DLP) provides granular insights into data flows, ensuring sensitive information is protected without hindering productivity.
- Are you confident that sensitive data will stay secure when employees use generative AI? Ensuring sensitive data stays secure when using generative AI tools is paramount. Netskope’s DLP goes beyond stopping unauthorized data flows, offering real-time warnings to users and striking a balance between innovation and data protection.
- Can you track the ripple effect of your data passing to third- and fourth-party apps? Monitoring data passing to third- and fourth-party apps is crucial for understanding risk exposure. Netskope provides comprehensive monitoring of connected third-party applications and their data transactions, essential for robust risk management.
- Are you taking full advantage of AI to fortify your security? Leveraging AI to fortify security is imperative in today’s digital landscape. Netskope’s SkopeAI, integrated into Netskope SSE, offers AI-driven data protection, threat detection, and SaaS governance, ensuring sensitive data remains secure and organizations stay ahead of emerging threats.
For detailed guidance on how you can go about securing GenAI in your enterprise, download a free copy of our newest dummies ebook “Securing Generative AI for Dummies”.
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