Secure GenAI Chatbots Conversations
How to enable better, safer conversations between humans & AI
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GenAI is Now Part of Your Organization
Ever since ChatGPT made GenAI explode in the mainstream, people are still talking about - and talking to - AI chatbots.
From developers to marketers, knowledge workers increasingly rely on conversations with their favorite GenAI tools to answer critical questions and speed up projects. Those conversations are driving real progress and unprecedented efficiency gains across virtually every industry.
GenAI Chatbots Your Employees Probably Use Already
Chat GPT
OpenAI’s ChatGPT is one of the most popular AI chatbots available today. It can engage in detailed discussions, answer questions, and generate creative content. These capabilities have driven rapid adoption across industries, and its versatility and adaptability make it a go-to solution for various needs.
Claude AI
Claude AI, developed by Anthropic, provides users with helpful and contextually accurate responses while adhering to strict ethical guidelines. The model emphasizes clarity and user safety, making it an ideal choice for organizations prioritizing responsible AI usage and minimizing risks.
Gemini
Google’s Gemini combines natural language processing with deep learning to deliver accurate, context-aware responses. It excels in handling complex queries and delivering explanations in depth. Gemini's ability to integrate with various platforms enhances its utility across different sectors.
Microsoft Copilot
Microsoft Copilot offers contextually relevant suggestions and automates repetitive tasks, streamlining workflows and boosting productivity. Copilot's seamless integration with Microsoft's ecosystem makes it a powerful assistant for professionals and enterprises.
Why Everyone Use GenAI Powered Chatbots
24/7 Availability
GenAI chatbots can operate around the clock, providing continuous support to users & customers without downtime.
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Scaliability
Chatbots can handle multiple interactions simultaneously, ideal for businesses with high customer engagement or workloads.
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Cost Efficiency
By automating routine tasks and inquiries, GenAI chatbots reduce the need for human intervention, leading to cost savings.
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Data Insights
By processing data from a huge range of sources and interactions, chatbots can deliver deep insights in just moments.
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Consistency
GenAI enables standardization at scale, helping organizations to align their output with established quality criteria more easily.
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Productivity
Developers can significantly reduce the time spent on specific tasks, with similar efficiency gains observed in writing and content creation.
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Welcome to the Wild West of GenAI Chatbots
GenAI Chatbots should be a win-win for employees and businesses alike. And it can be, but there are serious dangers to be aware of.
Without proper guardrails around the way data is handled and stored, chatbots can expose sensitive information. Another source of risk is the model’s integration with third-party platforms. Malicious actors are constantly looking for opportunities such as weak encryption, improper configuration, and lax authentication protocols.
Organizations should do the same, and view chatbots through the eyes of attackers, and implement measures to counteract them. Continual monitoring of chatbot interactions is crucial to preventing both inadvertent leaks and malicious attacks.
A chatbot that has more access rights or permissions than it needs is a major security risk. This happens when chatbots integrate with many different systems, databases, or APIs, but without adequate restrictions. This lack of proper access control gives them the ability to touch sensitive and confidential data.
For example, a customer service chatbot might receive broad access to a customer database. The database may include general information, which is appropriate for the chatbot to access. But it may also contain more privileged information, like financial records, which should remain invisible to chatbots.
It is important to be cognizant of the fact AI models are often trained on data that is collected from unsanitized online sources. What this means is that the models can become easy targets for data poisoning attacks, whereby adversaries compromise the training dataset by injecting malicious samples into the AI model.
AI package hallucination is a type of attack technique that leverages GenAI tools to spread malicious packages that do not exist, based on model outputs that are provided to the end-user.
Integrating a hallucinated package into a production environment can pose a very serious security risk to the organization. Based on research performed by Lasso Security, it was found that hallucinations are far from rare, with 24.2% produced by GPT4, 22.2% by GPT3.5, 64.5% by Gemini, and more.
Prompt Injection attacks occur when an attacker inserts malicious code into a system through an input field or command. In the context of chatbots, this can be done via crafted user inputs that manipulate the bot's responses or access restricted areas. This type of attack can compromise data integrity, steal sensitive information, and disrupt chatbot services.
Direct prompt injections and indirect prompt injections are the two basic categories into which prompt injection attacks can be generally categorized. Both direct and indirect prompt injections pose significant threats to GenAI application systems, especially as these technologies become more integrated into critical applications.
Chatbots that are trained on copyrighted materials without the necessary authorization pose a serious risk of infringing on intellectual property and copyrights. For example, they may generate content that reproduces or imitates protected IP. This has already resulted in high-profile legal disputes, with potentially disastrous financial consequences.
In many cases, the first casualty of a cyber attack - and the one that takes the longest to recover - is brand reputation. Consumers and regulators have increasingly high expectations of organizations. A failure to secure AI models like chatbots is an unforced error that will be remembered long after an organization implements the steps to modernize its security infrastructure.
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Data privacy Regulations in the age of GenAI Chatbots
GenAI chatbots rely on vast amounts of data, including personal information, making them attractive targets for cyber attackers. Threats include database breaches, unauthorized access, and third-party data exposure. Internally, research suggests that around 6% of employees have shared confidential information with chatbots.
As regulations like the EU AI Act and GDPR evolve, organizations face increasing pressure to secure chatbots and maintain compliance. Non-compliance risks include fines, loss of customer trust, and competitive disadvantages.
Ensuring robust security and regulatory alignment is essential for protecting sensitive data and sustaining long-term success.
How Lasso can Secure Human and AI conversation?
With Lasso, the C-Suite can finally solve these thorny security challenges, without sacrificing any of the efficiency gains that their organizations are already making with GenAI chatbots.
Lasso for GenAI Chatbots is a browser extension that integrates easily into every employee’s browser. It monitors every data point, at rest and in transit, instantly and accurately.
When a user brings sensitive data into a chat where the information doesn’t belong, the extension blocks it immediately, reigning in insecure usage of GenAI chatbots while still allowing users to continue conversing with them.
Lasso’s solution is easy to deploy and easy to use. Onboarding can be completed quickly, without disrupting employees’ regular workflows.
And an intuitive SaaS dashboard with unique, engaging UX gives leaders complete oversight. What was once an organization’s “Shadow LLM” becomes a transparent view of who is using which GenAI chatbots, and how.
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FAQs
No, Lasso isn’t just focused on DLP. The extension also helps discover new tools and protects against violations for both incoming and outgoing data. It lets you enforce your organization’s policies, like restricting access to organizational accounts.
Lasso’s Shadow LLM™ can detect thousands of GenAI tools. Our research team regularly updates the dynamic list of vendors we monitor.
Lasso’s Shadow LLM™ keeps watch over more than 8,000 GenAI tools and chatbots like ChatGPT, Gemini, and beyond—so you’re fully covered.
Lasso monitors every GenAI chatbot prompt in real time, blocking any unauthorized data sharing and flagging risky actions for your team.
Lasso’s browser extension can be deployed across all major browsers in minutes, so your team is protected right away.
Absolutely. You can use our pre-built security policies or create tailored policies to suit your organization’s compliance standards.
Yes! Lasso helps you stay ahead of emerging GenAI regulations with tools that enforce ongoing compliance and keep a secure audit trail.
Lasso provides hundreds of out-of-the-box classifiers with pre-configured best practices. You can add more if needed for new use cases. Our custom policies allow you to create specific, tailored rules without any need for data science or development.
Use discovery tools to identify who’s using what, implement monitoring with logging and auditing of interactions, detect GenAI-related risks—not just DLP issues—and have a real-time response plan to take action when needed.
Lasso supports multiple providers, not just ChatGPT, and we’re continuously adding new vendors to our list.
No manual tagging is required. Lasso automatically analyzes and tags data on the fly, as it’s created or uploaded.
Lasso is SOC 2 Type 2, ISO, and PCI compliant. We are tested to meet the highest standards of data security, privacy, and regulation to ensure that your data stays protected.
Book a Demo
And see how Lasso continuously protects your in-house apps.