As AI adoption grows, companies must implement their own security measures to protect against data leaks and cyber threats, as default protections from suppliers fall short.
AI adoption grows in companies
As artificial intelligence (AI) becomes more widely used in businesses, 18% of organizations with more than 10 employees are now incorporating AI into their operations, according to a study by INSEE. This rapid growth has made securing data and information flows a top priority for companies.Limitations of default AI protections
While AI model providers include their own built-in security measures, these standard protections often fall short in professional environments. They are primarily designed to protect the providers themselves rather than address the specific risks faced by users, leading to a false sense of security and operational challenges.Custom guardrails needed for different roles
Each user within a company requires a different level of control. Cybersecurity researchers, for example, need the ability to use AI models for their work, while human resources departments require strict controls to prevent exposure to harmful content. This variation in needs means that generic security measures are not sufficient.Importance of proprietary AI guardrails
Implementing custom AI guardrails allows companies to provide tailored security levels for different user groups. These guardrails help protect company assets by preventing the leakage of sensitive data and stopping the misuse of internal systems. Recent changes in AI supplier policies also highlight the need for organizations to take control of their own security measures.Challenges with supplier guardrails
Supplier-provided security mechanisms often operate as black boxes, offering little visibility into how they function or when they are triggered. This lack of transparency makes it difficult for SecOps teams to assess the frequency and impact of security restrictions, complicating their ability to manage and respond to threats effectively.Enhanced security through custom solutions
Custom guardrails allow companies to inspect all critical traffic and apply consistent security rules across different models and vendors. They also enable the use of deterministic rules to detect sensitive or malicious content before it is processed or sent out, combining these with AI-based classifiers for a more comprehensive defense strategy.
