SquarePact Contract AI provides reliable, hallucination-resistant contract review and drafting solutions tailored for specific industries. This platform helps users quickly identify legal and cybersecurity risks within documents like insurance policies and vendor agreements. The system adapts to user preferences, reducing repetitive work and ensuring verifiable, accountable output for non-lawyers.
Funding
Funding not disclosed
Founders
Product
Problem
Chatbots and large language models (LLMs) are increasingly used across various applications, but they are vulnerable to security threats such as prompt injection, data leakage, and unauthorized access. Traditional security measures are often inadequate for identifying and mitigating these AI-specific vulnerabilities, leaving organizations exposed to potential risks.
Solution
Actualization.AI offers a vulnerability scanning platform, TireKicker, designed specifically for identifying security flaws in chatbots and LLMs. The platform employs advanced vulnerability analysis techniques to detect potential weaknesses before they can be exploited. In addition to the scanning platform, Actualization.AI provides consulting and red-teaming services to evaluate AI systems, ensuring they meet safety standards and perform as intended. These services offer in-depth analysis, rigorous testing, and identification of potential alternatives, providing clients with a comprehensive understanding of their AI product's capabilities and limitations.
Target Audience
The primary target audience includes organizations that develop, deploy, or acquire AI-powered chatbots and LLMs, as well as businesses seeking to evaluate the safety, security, and performance of AI products.
Features
- Automated vulnerability scanning for chatbots and LLMs using state-of-the-art analysis techniques
- Identification of potential security flaws, including prompt injection, data leakage, and unauthorized access
- Red-teaming services to simulate real-world attacks and assess the robustness of AI systems
- In-depth analysis of AI product capabilities, limitations, and potential alternatives
- Rigorous testing to ensure AI systems perform as claimed and meet safety standards
- Evaluation of AI systems for hallucination, bias, unreliability, and inconsistency