WHITEPAPER
FortifyData leverages artificial intelligence within its CyberGRC platform to assist with
compliance analysis, control assessment, and contextual risk evaluation.
Complete the form to get the whitepaper.
> AI is used purely to evaluate control text, highlight gaps, and generate evidence-linked summaries
> FortifyData employs stringent data-minimization controls to ensure only the smallest possible amount of customer information is sent to AI models.
> All communications occur exclusively through HTTPS/TLS 1.2+ encrypted channels
As artificial intelligence becomes integral to modern CyberGRC and Threat Exposure Management, understanding the security architecture behind these capabilities is paramount.
This whitepaper provides a comprehensive overview of the rigorous safeguards FortifyData has implemented to ensure that AI-driven insights are delivered without compromising data privacy or confidentiality. It offers a transparent look into the platform’s technical framework, detailing how customer data is isolated, protected, and minimized throughout the entire AI processing lifecycle.
The document explores critical topics such as data minimization strategies, secure transport protocols, and the specific governance policies that prevent customer data from being used for model training or long-term retention. Additionally, it outlines the internal Secure Development Lifecycle (SDLC) practices and threat modeling techniques used to mitigate risks like bias and data poisoning. Security leaders and compliance professionals can use this resource to validate the integrity of FortifyData’s AI environment and understand the strict boundaries established to maintain acceptable use standards.
