Skip to main content

Technology

LLM Security and Enablement for the Technology Industry

CalypsoAI is the #1 platform to securing prompts entered into large language models, avoiding costly data breaches, and protecting your organization’s intellectual property.

Every organization faces threats from internal threat actors using “jailbreak”or prompt injection techniques to “trick” an LLM into providing information the organization has identified as contrary to its values or practice. The targets of these ploys can include gaining unauthorized access to sensitive or confidential data, among other scenarios. CalypsoAI’s LLM security platform is a proven solution for blocking prompt-driven techniques, such as role-playing, reverse psychology, virtual environment rule-setting, and hypothetical engagements, that attempt to override standard or admin-established boundaries for malign purposes.

The top three business cases our Technology Sector customers use Generative AI to address are:

  • Natural Language Processing and Conversational AI: Generative 
AI powers chatbots, virtual assistants, and language understanding systems, enabling more natural and human-like interactions between users and technology, improving customer support, and enhancing user experiences.
  • Data Transformation and Synthesis: Generative AI facilitates data transformation projects by generating synthetic data sets that mimic 
real-world scenarios, enabling companies to augment limited datasets, anonymize sensitive information, and train machine learning models more effectively while maintaining data privacy and security.
  • Customer-Facing Applications: Generative AI powers the development 
of customer-facing applications, such as virtual try-on experiences, personalized recommendation systems, and interactive visualizations, which enhance user engagement, satisfaction, and loyalty while delivering tailored experiences that meet individual needs and preferences.

The top three business cases our Technology Sector customers use Generative AI to address are:

  • Security and Compliance: Ensures that utilizing generative AI maintains data integrity, protects sensitive information, and adheres 
to regulatory standards, fostering trust and confidence among stakeholders.
  • Observability and Visibility: To gain insights into the performance and behavior of generative AI models and facilitate proactive monitoring, troubleshooting, and optimization to ensure seamless operations and maximize efficiency.
  • Testing and Deployment Optimization: Accelerates time-to-market, 
minimizes errors, and helps enterprises iterate more efficiently, ultimately driving innovation and competitiveness.
  • API Integration: Enhances interoperability and scalability, allowing technology companies to seamlessly incorporate advanced security features into their existing infrastructure, fortifying defenses and safeguarding against emerging threats.
  • Multi-model and multimodal support: Empowers technology companies 
to explore diverse use cases and data types within generative AI projects, unlocking new possibilities for innovation and expanding the capabilities of AI-driven solutions to address complex challenges.
  • Cost Management and Optimization: Guarantees efficient resource allocation and budget utilization within generative AI initiatives, enabling technology companies to achieve more significant return on investment minimize overhead costs, and drive sustainable growth in their AI endeavors.

CalypsoAI Platform Case Study

The Problem

An employee wants to bypass LLM rules that prohibit highly inflammatory messages from being sent in a prompt. By creating a virtual environment in which existing rules do not apply, the user is able to get the information past the filters, which releases the information into the LLM’s body of knowledge, and into the chat history it maintains on that user, and the organization.

The Challenge

In direct violation of organization rules, a user has “tricked” the LLM into allowing them to send controversial content that violates social norms and company values, sharing it with an unauthorized third party. The information is, therefore, at risk of further dissemination due to leaks or hacks to the third party, as well as at risk of becoming part of the dataset used to train/retrain subsequent iterations of the LLM. The information could also be included in the LLM’s knowledge base and, therefore, be accessible to all users, damaging the organization’s reputation by association.

The Solution

CalypsoAI scans prompts for patterns and categories of techniques, such as role-playing, reverse psychology, virtual environment rule-setting, and hypothetical engagements, that attempt to override standard or admin-established boundaries for malign purposes. All details of the interaction are recorded, providing full auditability and attribution.

We Support

Visit Our Blog

Blog July 17, 2024

Leveraging Gen AI Models and LLMs for Enhanced Cybersecurity

Generative AI (GenAI) models and large language models (LLMs) are revolutionizing the cybersecurity landscape. Traditional security measures are inadequate in the face of increasingly sophisticated cyber threats. Deploying GenAI models…