ChatGPT is a widely used tool that allows employees to synthesize information, generate content, and get assistance with their problems. It has allowed employees to be more efficient and effective in their workflows.
Tools like ChatGPT are computed models that are trained on large data sets, allowing them to replicate human-like responses in a fraction of the time. There are, however, risks associated with using these tools, including data theft, bias amplification, and intellectual property issues. Tools like ChatGPT also make it easier for threat actors to develop effective and convincing phishing attacks, malware strains, and other social engineered attacks.
In this article, we’ll cover the top solutions that will allow you to roll out the use of ChatGPT in your workplace, without compromising security.
Harmonic Protect is a data protection solution that simplifies the safeguarding of sensitive information. It uses pre-trained models to protect data without extensive labeling or rule-setting, interacting directly with end users to prevent data leaks.
Why we picked Harmonic Protect: We like its zero-touch data protection approach, which eliminates the need for complex rule-setting. It also offers fast data assessment, making decisions within 200 milliseconds.
Harmonic Protect’s best features: Its pre-trained data protection models cover PII, payroll data, source code, and sensitive documents, giving you comprehensive assurance. It also provides customizable nudges to end users, integrates with security automation platforms via webhooks, and offers real-time data assessment.
What’s great:
• Eliminates the need for extensive data labeling
• Prevents data leaks while enabling AI use
• Integrates with security automation platforms
What to consider:
• Requires initial setup to configure nudges and workflows
• Effectiveness depends on user engagement with nudges
Who it’s for: Harmonic Protect is best suited for organizations looking to simplify data protection and enable secure AI use, particularly those with limited resources for data labeling and rule-setting.
LayerX Browser Security Platform, delivered as an enterprise browser extension, safeguards sensitive data when using generative AI tools including ChatGPT. It prevents data leakage by monitoring and controlling text input within browser sessions, ensuring productivity and usability, without compromising security.
Why we picked LayerX Browser Security Platform: It offers the ability to prevent sensitive data from being pasted or typed into ChatGPT, offering real-time protection against data leakage. Its granular visibility into user activities provides comprehensive control over browser interactions.
LayerX Browser Security Platform’s best features: It detects and disables unauthorized browser extensions. It also has a good ability to detect sensitive data types with conditional blocking, warning users with safe-use guidelines, full site blocking, and requiring user consent for generative AI tool usage.
What’s great:
• Eliminates critical blind spots in browser security
• Provides real-time protection and high-precision risk detection
• Offers unified browser management with rapid deployment
• Enforces access and activity policies to prevent data compromise
• Permits the use of preferred browsers for both work and personal activities
What to consider:
• Requires longer initial setup time for complex environments
• Some features might need additional configuration for optimal use
Who it’s for: LayerX Browser Security Platform is ideal for organizations leveraging generative AI tools like ChatGPT, particularly those handling sensitive data such as customer information and intellectual property. It suits businesses needing robust browser security and data protection policies.
The Reveal Platform by NextDLP is a DLP and insider threat protection solution that offers deep visibility into data movement and user behavior. It uses lightweight agents and instant-on sensors to minimize impact on productivity, while providing comprehensive protection across networks, cloud, and devices.
Why we picked the Reveal Platform: We like the platform’s AI-powered analysis, which streamlines incident analysis and reduces containment and resolution time. Its cross-platform protection ensures dynamic data security from access to leakage on managed and unmanaged devices.
The Reveal Platform’s best features: Cross-platform protection, secure data flow tracking, and AI-powered analysis with XTND make this a great solution. Its integrations cover Microsoft 365, Google Workspace, and personal devices, as well as facilitating automated enforcement and smart sensors.
What’s great:
• Comprehensive visibility into data movement and user activity
• Reduced false positives with origin-based data tracking
• Streamlined analyst workflows with AI-driven insights
• Agentless protection for cloud and personal devices
• Proactive risk detection with machine learning
What to consider:
• Advanced features may require additional configuration
• May need customization for complex setups
Who it’s for: The Reveal Platform is best suited for organizations seeking advanced DLP and insider threat protection with AI-driven analytics, cross-platform coverage, and robust generative AI policy enforcement.
AIAccessSecurity by Palo Alto Networks is designed to secure the use of GenAI applications by providing comprehensive visibility, control, and protection against data leaks and AI-based cyber threats across various platforms.
Why we picked AIAccessSecurity: We like its real-time inspection of GenAI interactions and its ability to prevent sensitive data leakage. These two factors are crucial for maintaining security in AI-driven environments.
AIAccessSecurity’s best features: AIAccessSecurity offers GenAI discovery with an extensive application dictionary, access controls for classifying and managing app usage, and AI security posture management for monitoring plugins.
What’s great:
• Real-time inspection of GenAI prompts and responses
• Comprehensive visibility into sanctioned and unsanctioned GenAI apps
• LLM-powered data classification to prevent sensitive data leakage
• Zero Trust security framework to block sophisticated threats
• Centralized Data Risk Command Center for streamlined operations
What to consider:
• Requires integration with existing Palo Alto Networks infrastructure
• May need professional services for optimal deployment and configuration
Best suited for: AIAccessSecurity is ideal for organizations looking to securely adopt and manage GenAI applications, particularly those already invested in Palo Alto Networks’ security ecosystem.
Strac is a cybersecurity solution specializing in Data Discovery, Data Security Posture Management (DSPM), and DLP. It provides comprehensive protection for sensitive data across SaaS, cloud, GenAI models, and endpoint devices.
Why we picked Strac: We like Strac’s end-to-end protection capabilities, which secure data from discovery through prevention across diverse environments. Its agentless SaaS DLP capabilities simplify deployment and enhances visibility into data risks.
Strac’s best features: Strac offers data discovery and classification, real-time scanning across multiple environments, and supports over 150 file types. It includes DLP for SaaS, endpoints, and cloud, as well as GenAI protection to prevent data misuse in AI models.
What’s great:
• Comprehensive coverage across SaaS, cloud, GenAI, and endpoints
• Agentless deployment for SaaS DLP, reducing user friction
• Real-time scanning and actionable remediation options
• Supports a wide range of file types, including non-text formats
• Bulk remediation capabilities for efficient security management
What to consider:
• Complex setups may require additional configuration time
• The extensive feature set might be unnecessary for smaller organizations
Best suited for: Strac is ideal for organizations requiring robust data security across multiple platforms, particularly those with extensive SaaS usage and a need for comprehensive data protection and compliance management.
Zscaler Generative AI Security integrates with ChatGPT Enterprise to offer robust data loss prevention and visibility into AI usage across an organization. It provides comprehensive control over generative AI applications, ensuring secure and productive workflows.
Why we picked Zscaler Generative AI Security: We liked the solution’s granular visibility into AI app usage and data handling, enabling precise control and detailed blocking decisions.
Zscaler Generative AI Security’s best features: Key features include interactive dashboards for AI app visibility, prompt-level analysis, and data loss prevention controls. It offers AI/ML-based URL filtering, granular DLP enforcement, and browser isolation for secure AI app rendering.
What’s great:
• Provides detailed visibility into AI app usage and data risks
• Enables smart blocking decisions based on prompt analysis
• Enhances security through browser isolation
• Streamlines workflows with robust integration capabilities
• Supports zero trust security with Zscaler Internet Access
What to consider:
• May require time to fully configure for optimal performance
• Dependent on a ChatGPT Enterprise subscription for full functionality
Who it’s for: Zscaler Generative AI Security is ideal for enterprises looking to safely leverage generative AI technologies while maintaining stringent data protection and compliance standards.
ChatGPT is a Large Language Model (LLM) that uses its extensive data directory to generate human-like responses. It uses Natural Language Processing (NLP) to allow users to ask their own questions and receive helpful answers.
ChatGPT has many uses, including answering questions, composing text, and giving advice on how to improve code. There are many other tasks that ChatGPT (and other models) can be applied to, with varying degrees of success.
There are a broad range of use cases for ChatGPT within a work context, and it possible applications will only continue to grow. Current uses range from synthesizing long documents into shorter executive summaries, to generating new copy for marketing purposes.
ChatGPT can also be used to solve coding issues and suggest improvements, as well as assist with spreadsheet formulas.
Data security risks are twofold. First, the data that these models were trained on will affect the responses that they give. This may lead to unintentional biases that are reflected in your results.
As you communicate with the chatbot, there is the risk that this data will be intercepted in transit, or from an attack on ChatGPT. It is important that users do not share sensitive information with one of these chatbots. If this type of data is shared, it could lead to leakage.
Models like ChatGPT can also be used by malicious actors to craft more effective phishing and social engineering attacks. Attackers are able to produce accurate and convincing content, in large quantities. There are solutions that help identify this type of content, though this article has focused on the data security risks.
Alex is an experienced journalist and content editor. He researches, writes, factchecks and edits articles relating to B2B cyber security and technology solutions, working alongside software experts. Alex was awarded a First Class MA (Hons) in English and Scottish Literature by the University of Edinburgh.
Laura Iannini is an Information Security Engineer. She holds a Bachelor’s degree in Cybersecurity from the University of West Florida. Laura has experience with a variety of cybersecurity platforms and leads technical reviews of leading solutions. She conducts thorough product tests to ensure that Expert Insights’ reviews are definitive and insightful.