Prompt Security provides a platform that employs real-time monitoring and AI-driven detection to prevent security risks associated with Generative AI, including prompt injection and data leaks. By ensuring safe interactions with AI tools, the platform protects organizations from unauthorized data access, brand reputation damage, and compliance violations.
Funding
$23M raised to dateRaised to date based on public sources. This may differ from the amount the company actually raised and is based only on what is publicly available on the internet.
Founders
Product
Problem
Generative AI introduces new security risks, including prompt injection, data leaks, toxic content generation, and denial-of-wallet attacks, which can lead to brand reputation damage, data privacy violations, and compliance issues. Organizations lack visibility and control over the use of GenAI tools by employees and the security of homegrown GenAI applications.
Solution
Prompt Security provides a comprehensive GenAI security platform that protects organizations from a wide range of threats across all levels, including employees, homegrown applications, and AI code assistants. The platform offers real-time monitoring, AI-driven threat detection, and enforcement of security policies to prevent prompt injection, data leaks, jailbreaks, and other vulnerabilities. It provides visibility into the use of GenAI tools, prevents the exposure of sensitive data, and ensures compliance with industry regulations. Prompt Security's solution helps organizations securely adopt GenAI technologies while mitigating the risks associated with their use.
Target Audience
The primary target audience includes security teams, IT departments, and risk management professionals responsible for securing their organization's use of Generative AI, as well as developers building and deploying GenAI applications.
Features
- Real-time detection and blocking of prompt injection attacks with low latency
- Content moderation to prevent the generation of toxic, biased, or harmful content
- Data loss prevention (DLP) to prevent the exfiltration of sensitive information
- Anomaly detection to identify and block denial-of-wallet attacks
- Visibility and governance for GenAI tool usage by employees, including shadow AI detection
- Red teaming services to identify vulnerabilities in homegrown GenAI applications
- Support for various deployment options, including cloud and self-hosted
- LLM-agnostic design that works with different large language models
- Integration with existing security information and event management (SIEM) systems