Quickly evaluate the Top Generative AI Security Solutions that enable businesses to maximize the advantages of GenAI thereby ensuring protection against data leaks:
Generative AI is ripe with opportunities for enterprises. However, the explosion of generative AI has also introduced new risks to organizations. This is not necessarily due to malicious intent on the part of employees, but from benign uses of generative AI tools for productivity and efficiency.
Employees looking to optimize tasks and workflows might input confidential data into generative AI platforms without fully understanding the implications. These Generative AI security platforms, depending on their operational mechanics, might store or process the data in ways that expose it to unauthorized access or misuse.
Table of Contents:
Generative AI Security Solutions: Top-Rated
The untransparent nature of generative AI’s data handling and processing exacerbates this risk. Organizations might struggle to trace how their data travels or is stored, making it difficult to ensure compliance with data protection regulations, such as GDPR or HIPAA. This has the potential for reputational damage and substantial legal penalties.
To mitigate these risks, it’s recommended that organizations implement stringent data governance policies, train employees on the dangers of generative AI tool use, and deploy advanced security measures that can detect and prevent unauthorized data inputs to generative AI platforms.
This is where generative AI solutions can help.
Generative AI Security/ChatGPT Solutions – How They Work
Generative AI security solutions protect sensitive data from exposure and data loss when employees use ChatGPT and other Generative AI tools. The process often involves mapping and defining which sensitive data to protect, such as source code or intellectual property, and applying data controls and policies to prevent leakage.
This enables secure productivity: the workforce can continue using GenAI applications without the enterprise bearing the risk of data exposure.
In addition, other generative AI security tools focus on securing as early as the model level. These are a perfect match for homegrown genAI projects or internal implementation. Other tools ensure the security of the content generated.
Functionalities:
Generative AI security and ChatGPT security solutions provide the following capabilities:
- Configuring policies on what employees can do with generative AI tools, like pasting or typing data. This could also include blocking employees from using these applications altogether.
- Mapping and detecting sensitive data types organizations would like to protect, like source code, business plans, and intellectual property.
- Continuous monitoring and real-time protection based on policies to prevent data leakage in real time.
- Eliminating Shadow AI by providing IT with visibility into applications, websites, and browsers used by employees.
Benefits:
- Allowing productivity and encouraging innovation
- A positive user experience
- Protecting organizational data from exposure
- Organizational visibility into risky employee actions
- Preventing inadvertent sharing of sensitive data
- Blocking phishing, malware, and other threats
List of the Best GenAI Security Solutions
Check out these remarkable Generative AI Security Solutions designed specifically for businesses:
- LayerX Security (Recommended)
- Aim Security
- Prompt Security
- Lasso Security
- Qualifire
- Robust Intelligence
- Talon
Comparing the Top Generative AI Platforms
| Security Solutions | Highlights | Impact on Data Security | Impact on Productivity | Rating |
|---|---|---|---|---|
| LayerX | Enterprise browser extension. Data protection and elimination of organizational blindspots when employees use GenAI applications like ChatGPT. Includes full visibility, flexible policies and control over users’ actions, without impeding productivity. Easy deployment. A wide range of browser protection capabilities. | Preventing data exposure, both inadvertent and malicious | Enables full productivity | 5/5 |
| Aim Security | Secures use of public GenAI tools, internal LLM deployments and homegrown GenAI applications | Privacy policy enforcement and data auditing | Enables use of external and internal tools | 4.7/5 |
| Prompt Security | Secures uses of Generative AI by employees and customer-facing apps | Data privacy enforcement | Limits employee use of productivity tools | 4.7/5 |
| Lasso Security | Tools for identifying, monitoring and protecting threats and risks associated with LLMs | Alerting and blocking prompt injections, denial of service and revealing of sensitive information | Limits employee use of productivity tools to a certain extent | 4.6/5 |
| Qualifire | Enforcement of standards and policies on AI-generated content | Limited to content tracking | Encourages use of GenAI for productivity | 4.6/5 |
| Robust Intelligence | Real-time protection and validation for AI models and data | Protection at the model-level | Encourages use of GenAI for productivity | 4.5/5 |
| Talon | Visibility and control over employee interactions through the Talon browser | Blocks malicious attacks | Requires shifting the work to a custom browser | 4/5 |
Detailed Reviews:
#1) LayerX (Recommended)
Best for organizations looking to drive productivity and innovation by allowing their employees to use generative AI, while protecting sensitive data and preventing data exposure, all without impacting the user experience. Organizations can protect themselves from web-based threats and risks by using advanced AI technology.
LayerX is an Enterprise Browser Extension that safeguards the enterprise’s valuable data – be it source code, business plans, or intellectual property. This starts with identifying and clearly defining the specific information to protect.
Once teams have identified the sensitive data categories, they can customize policies to suit these categories and then put the chosen data control method into action. There is flexibility to choose from different options, ranging from deploying pop-up warnings to outright blocking data input into the application’s interface.
Enforcement can happen when employees first access the application or when they type or paste data inside. Deployment is easy, with no disruption to the workforce. These activities enable a secure productivity environment.
LayerX generative AI security is a subset of LayerX’s web DLP capabilities, which govern data upload, control data download, and prevent data exfiltration to protect exposure across all apps and websites, on top of generative AI applications.
LayerX also offers numerous other browser security capabilities, including protection from malicious extensions, eliminating shadow SaaS, phishing and malware download protection, securing third-party access, BYOD protection, acting as an authentication layer, and more.
Features:
- Preventing data pasting/submission
- Detecting sensitive data type in data submissions, and conditional blocking/restricting.
- Warn-user mode – don’t block, but add “safe use” guidelines.
- Full site blocking
- Requiring user consent/justification to utilize a generative AI tool.
- Detecting and disabling ChatGPT-like browser extensions.
- Conditioning on users, groups, roles, identities, geo-location, data type, devices, and more.
- GenAI tools discovery
- Visibility into application and employee use of GenAI tools.
Our Review: LayerX offers comprehensive, sensitive data detection and controls, acting like a DLP solution for GenAI applications. It provides robust security for both files and data entered into the application. This setup allows the workforce to use GenAI applications safely, eliminating worries about accidental data leaks.
#2) Aim Security
Best for organizations using both external and homegrown LLMs.
Aim Security secures the usage of public GenAI tools, internal LLM deployments, and homegrown GenAI applications. The tool protects against data leakage, IP and copyright infringement, malicious outputs, sensitive information disclosure, and insecure configurations.
Features:
- GenAI tools discovery
- Visibility into application and employee use of GenAI tools.
- Auditing of data shared with and received from GenAI tools.
- Visibility into risky prompts
- Alerts on malicious prompts and code
- Privacy policy enforcement
- Compliance regulation alignment
- Data assets to GenAI integration configurations
- Pentesting for GenAI Copilots
Our Review: A comprehensive solution for organizations who see the productivity value of generative AI and develop and host LLMs internally & externally.
#3) Prompt Security
Best for organizations looking to protect customer data from being exposed.
Prompt Security secures all uses of Generative AI within organizations, both tools used by employees and customer-facing apps. They aim to offer solutions to prevent issues like privilege escalation, shadow IT of GenAI tools, and data leaks.
Features:
- GenAI tools discovery
- Automated anonymization
- Automated data privacy enforcement
- Rules, policies, and actions configuration.
- Visibility into employee use of GenAI tools.
Our Review: Data anonymization and customer-facing capabilities make this a good choice for organizations worried about customer data getting leaked into ChatGPT.
Suggested Reading =>> How to Access ChatGPT in Hong Kong
#4) Lasso Security
Best for organizations whose employees interact with multiple LLMs (beyond ChatGPT).
Lasso Security offers a suite of tools for identifying, monitoring, and protecting against both external threats and internal vulnerabilities associated with use of LLMs in organizations.
Features:
- Granular GenAI tools discovery.
- Logging of employee interactions with LLMs.
- Real-time detection and alerting for sensitive data in transit, malicious code, and code copyright infringement.
- Real-time detection and alerting for prompt injections, denial of service, and revealing of sensitive information.
- Masking and anonymization
- Blocking of malicious attacks
Our Review: A solution for detecting attackers attempting to exploit employee use of generative AI.
#5) Qualifire
Best for organizations that generate large volumes of content with GenAI tools.
Qualifire provides a suite of tools that allows organizations to enforce their standards and policies on AI-generated content.
Features:
- Policy creation for enforcing standards.
- Fact and consistency checking.
- Content tracking for performance, auditing, and debugging.
- Reporting on costs, latency, and error rate.
Our Review: A solution that focuses on the output, ensuring it meets standards. It does not provide the full spectrum of capabilities other security solutions do.
#6) Robust Intelligence
Best for organizations developing internal LLMs and AI models.
Robust Intelligence provides real-time protection and validation for AI models and data, helping organizations secure their AI against threats, ensure regulatory compliance, and manage ethical and operational risks.
Features:
- Real-time protection of model input and output.
- Model behavior validation
- Red teaming for exposing model vulnerabilities.
- Compliance with major regulations and frameworks.
- AI firewall to protect against attacks and threats.
- Auditing and tracking
Our Review: A solution for data professionals like data scientists and data engineers. Good for its category, not built for IT use and data protection in GenAI tools.
#7) Talon
Best for organizations using a proprietary Enterprise browser.
Talon provides visibility and control over employee interactions with ChatGPT when they take place through the Talon browser.
Features:
- Monitoring and restricting ChatGPT access.
- Preventing users from pasting sensitive data.
- Blocking phishing attempts, malware, and the use of malicious extensions.
- Preventing account takeover and MITM attacks.
Our Review: A required capability for enterprise browser users. For Talon users, this is a good way to enforce security standards. For new users, onboarding to Talon is complicated, and better security features are to be found with other tools.
Conclusion
A generative AI security solution helps organizations protect their sensitive data from exposure that could put it into the wrong hands: malicious actors, competitors, and others. By using such a solution, enterprises can ensure their workforce enjoys the productivity benefits of generative AI, but without the risks of data leakage.
In this article, we reviewed generative AI security tools. When choosing a generative AI security solution, there are five main criteria we recommend evaluating:
- Relevant Usage Scope: Ensuring the solution can protect your data from the way your employees are using generative AI solutions. For example, typing and pasting data into external applications requires a different approach from homegrown applications.
- High Employee Productivity: Choose a solution that allows employees to continue using generative AI as a productivity booster. In the long run, this will help you preserve your competitive stance.
- Visibility: Make sure you can see which actions employees are taking on which applications. While you want to drive productivity, you need to govern risky actions.
- Flexible Policies: Find a solution that allows you to choose how to deal with risks. From blocking to warning, flexibility will allow you to meet various employees’ demands and balance satisfaction with security.
- Easy Onboarding: Choose a solution that can be easily deployed. This will ensure adoption among employees. Avoid new tools that require a cultural change among employees.