Explore and analyze the Top Large Language Model (LLM) security solutions with features. Pick the best LLM security tool of your choice to fit your enterprise requirements perfectly:
However, they also introduce significant risks, particularly around data security. Employees may inadvertently use leverage LLMs and generative AI security tools to enhance productivity, for activities like coding, creating articles, analyzing financial data, and coming up with business plans.
LLM-based systems may retain or process sensitive business data for training and fine-tuning to lead to unauthorized exposure or misuse.
As a result, it can be challenging for organizations to track where their data ends up or how it’s stored. This makes it challenging to maintain compliance and could affect a company’s reputation and lead to hefty fines.
Table of Contents:
LLM Security – Top Trending Solutions To Opt For
To counter these risks, it is advised for businesses to:
- Implement data governance policies.
- Educate their employees about the risks associated with using LLMs and generative AI tools.
- Implement cutting-edge security solutions designed to mitigate this risk.
This is where LLM security solutions can help.
LLM Security Solutions – How They Work
LLM security solutions protect enterprises from data loss when using ChatGPT and other LLM-based applications.
Protection started with identifying which sensitive data to protect source code, intellectual property, business plans, etc. Then, these tools apply data controls and policies that will prevent leakage. This supports secure productivity: employees use LLM-based applications without risking data exposure.
There are also LLM security tools that secure the LLM itself. This is a good choice when enterprises are developing the LLM-based application themselves.
Functionalities:
LLM security solutions:
- Set policies for employee actions in generative AI tools, including paste/type restrictions or complete blocks.
- Identify and protect sensitive data: source code, business plans, IP.
- Implement ongoing, policy-based monitoring for instant data leak prevention.
- Prevent Shadow AI by giving IT insight into employee-used apps, websites, and browsers.
Benefits:
- Boosting productivity and fostering innovation.
- Ensuring a good user experience.
- Securing company data against leaks.
- Monitoring risky employee behavior.
- Stopping accidental sensitive data sharing.
- Blocking phishing, malware, and threats.
Suggested Read =>> Best SaaS Security Solutions
List of the Best LLM Security Tools
Check out these remarkable GenAI Security Solutions for enterprises:
- LayerX Security (Recommended)
- Robust Intelligence
- Aim Security
- Prompt Security
- Lasso Security
- Qualifire
- Talon
Comparison of Top Generative AI Security Solutions
| Security Solutions | Highlights | Impact on Data Security | Impact on Productivity | Rating |
|---|---|---|---|---|
| LayerX | Enterprise browser extension. Protects data and eliminates organizational blindspots when employees use LLM-based applications like ChatGPT. LayerX provides full visibility, flexible policies and governance over employees while supporting productivity. Deployment is easy. Additional browser protection capabilities available. | Preventing data exposure, both unintentional and intentional | Full productivity | 5/5 |
| Robust Intelligence | Protection and validation for AI models and data in real-time | Model-level protection | Use of LLM for productivity is encouraged | 4.8/5 |
| Lasso Security | Identifies, monitors and protects against LLM threats and risks | Prompt injections, denial of service and sensitive information reveal is alerted about and blocked | Employee use of productivity tools is limited to a certain extent | 4.7/5 |
| Aim Security | Security for public GenAI tools, internal LLM deployments and homegrown applications | Enforcing privacy policies and auditing data | Use of external and internal tools is enabled | 4.7/5 |
| Prompt Security | Security for generative AI for employee use and customer-facing apps | Enforcing data privacy | Employee use of productivity tools is limited | 4.7/5 |
| Qualifire | Enforces standards and policies on AI-generated content | Content tracking only | Use of LLM for productivity is encouraged | 4.6/5 |
| Talon | For Talon users, visibility and control | Malicious attacks blocked for Talon users | Work needs to be transferred 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. Furthermore, for organizations that want to secure their operations from web-related threats and risks that surpass generative AI.
LayerX, an Enterprise Browser Extension, protects valuable enterprise data such as source code, business plans, and intellectual property. This begins with identifying and defining the data types needing protection.
Teams can then configure policies specific to these sensitive categories and choose a method of data control, from warnings to complete blocking of data entry into the app interface.
Policy enforcement occurs when employees access LLM applications or during data typing/pasting, ensuring a smooth deployment without disrupting workforce productivity. This creates a secure work environment.
LayerX’s LLM security is part of its broader web DLP features, managing data uploads and downloads and preventing data leaks across all apps and websites, including generative AI tools.
Beyond this, LayerX offers extensive browser security features, such as defense against malicious extensions, shadow SaaS prevention, phishing, and malware defense, secure third-party access, BYOD safety, authentication layers, and more.
Features:
- Blocking data pasting/submission.
- Identify sensitive data in submissions; conditionally block/restrict.
- Warn mode – guiding on safe use without blocking.
- Blocking entire sites.
- Requiring user justification for using GenAI tools.
- Detecting and disabling ChatGPT-like extensions.
- Applying conditions based on users/groups/roles, locations, data types, devices, etc.
- Discovering GenAI tools.
- Monitoring application and employee usage of LLM applications.
Our Review: LayerX serves as a DLP solution for LLM-based GenAI applications, providing extensive detection and control of sensitive data. It ensures strong protection for both files and data input into applications, allowing employees to safely utilize GenAI tools without the risk of inadvertent data leaks.
#2) Robust Intelligence
Best for organizations with data science teams developing internal LLMs and AI models.
Robust Intelligence delivers instant security and validation for AI models and data, assisting businesses in protecting their AI from threats, achieving regulatory compliance, and addressing ethical and operational risks.
Features:
- Instant safeguarding of model inputs and outputs.
- Validation of model behaviors.
- Red team exercises to uncover model weaknesses.
- Adherence to key compliance regulations and frameworks.
- AI firewall for defense against attacks and threats.
- Auditing and monitoring activities.
Our Review: A security solution for data scientists and data engineers who need to put security guardrails in place during model development.
#3) Lasso Security
Best for organizations where employees use various LLMs, not limited to ChatGPT.
Lasso Security provides a comprehensive set of tools to detect, monitor, and safeguard against both external threats and internal risks linked to LLM usage in organizations.
Features:
- Detailed discovery of GenAI tools.
- Logging employee interactions with LLMs.
- Instant detection and alerts for sensitive data in transit, malicious code, and copyright breaches
- Immediate detection and alerts for prompt injections, denial of service, and disclosure of sensitive info.
- Data masking and anonymization.
- Prevent malicious attacks.
Our Review: For enterprises who need to prevent attacks on employees using LLM applications.
#4) Aim Security
Best for organizations leveraging external and homegrown LLMs.
Aim Security protects against risks associated with public GenAI tools, in-house LLM deployments, and custom GenAI applications. It safeguards against data breaches, IP and copyright violations, harmful outputs, exposure of sensitive data, and insecure configurations.
Features:
- Discovery of GenAI tools.
- Monitoring application and employee use of GenAI tools.
- Auditing data exchanges with GenAI tools.
- Tracking risky prompts.
- Alerting on harmful prompts and code.
- Enforcing privacy policies.
- Ensuring compliance with regulations.
- Managing data and GenAI tool integration settings.
- Conducting penetration testing on GenAI Copilots.
Our Review: A complete solution for companies recognizing the productivity benefits of generative AI, both in developing and hosting LLMs internally and externally.
#5) Prompt Security
Best for enterprises who need to protect customer data.
Prompt Security ensures the secure use of Generative AI across the organization, covering both internal and customer-facing applications. Their goal is to prevent privilege escalation, unauthorized GenAI tools (shadow IT), and data breaches.
Features:
- Discovery of generative AI tools.
- Automated anonymization.
- Automated enforcement of data privacy.
- Configuring rules, policies, and actions.
- Seeing how employees use generative AI tools.
Our Review: Capabilities like data anonymization can help enterprises worry about customer data getting leaked into ChatGPT.
#6) Qualifire
Best for enterprises that use generative AI tools for creating content in large volumes.
Tools that allow enterprises to ensure their standards and policies are enforced on AI-generated content.
Features:
- Developing policies to maintain standards.
- Verify facts and consistency.
- Monitoring content for performance, audits, and debugging.
- Reporting on costs, response times, and error rates.
Our Review: A solution secures LLM output. It enforces standards but does not provide all security capabilities like other solutions.
#7) Talon
Best for organizations using a vendor-specific Enterprise browser.
Talon provides enterprises with the ability to see and control employee interactions with LLM applications through the Talon browser.
Features:
- Controlling LLM application access and usage.
- Stop pasting sensitive information.
- Blocking phishing, malware, and harmful extensions.
- Guarding against account hijacking and MITM (Man-In-The-Middle) attacks.
Our Review: Essential for enterprise browser users. For existing users, this helps enforce security standards. For new users, onboarding to Talon is complex, and better security can be achieved with other tools.
Conclusion
An LLM security solution safeguards sensitive data from unauthorized access by attackers and competitors. This enables enterprises to continue leveraging LLMs and generative AI to enhance productivity while mitigating data breach risks.
This article evaluated seven LLM security applications.
Further Reading => TOP Enterprise Browser Solutions of the Year
Here are 5 key criteria for selecting the right LLM security solution for you:
- Relevant Usage Scope: Ensure the solution protects data per your team’s use of LLMs. For example, whether you input data in external apps vs. you develop internal tools.
- High Employee Productivity: Opt for solutions that boost LLM productivity benefits without compromising your security.
- Visibility: Monitor employee actions across applications to balance the risk.
- Flexible Policies: Look for the ability to adapt response options, to balance employee needs with security.
- Easy Onboarding: Prioritize easy-to-deploy solutions to encourage quick employee adoption and minimize resistance to new processes.