Intellectual Property Compliance

At ISMS Copilot, we are committed to the responsible development and deployment of our AI systems, ensuring strict adherence to intellectual property (IP) rights at every stage. Our practices are designed to comply with applicable regulations, including U.S. copyright laws and the EU AI Act, while maintaining the highest standards of ethical AI use.

  1. No Unauthorized Data Scraping We do not scrape the web to train our AI, except for our own website, which ensures our training data remains free of unauthorized copyrighted material or personal data. By using curated, anonymized QnA datasets created or licensed by ISMS Copilot, we maintain accuracy and compliance, avoiding risks associated with web-scraped content.
  2. Ethical AI Training Our AI models are trained on independently created or lawfully sourced content, focusing on general knowledge and implementation strategies for standards like ISO 27001, SOC 2, GDPR, and others. We do not use protected materials, such as verbatim standards or regulations, in our training datasets. This approach ensures our AI systems are not exposed to IP-protected content, aligning with fair use principles and EU copyright requirements.
  3. User Data Protection We do not train our AI models on user data or conversations. Our licensing agreement explicitly excludes business-specific or user-provided data from model improvement processes, ensuring that no user intellectual property is incorporated into our AI. This protects user privacy and prevents any risk of IP infringement from user interactions.
  4. IP-Compliant Outputs Our AI assistants are designed with robust guardrails to prevent generating content that infringes on intellectual property rights. They are instructed to paraphrase requirements in original language, avoid reproducing copyrighted material (e.g., exact clauses from standards or regulations), and provide actionable, implementation-focused guidance. Outputs are crafted to be compliant with IP laws, giving users confidence in their originality and legality.
  5. Clear Attribution When providing guidance on standards or frameworks, our assistants always attribute the developing organization (e.g., ISO for ISO 27001, AICPA for SOC 2, EU for GDPR). This ensures proper recognition of IP rights and directs users to official sources for verbatim requirements, reinforcing our commitment to compliance.
  6. Data Protection and Security We implement strict controls to safeguard customer data, ensuring it is never used for training or generating outputs. Our AI systems rely solely on curated, anonymized datasets, preventing any unauthorized use of IP-protected or sensitive information.
  7. Transparent Usage Policies We maintain clear, accessible policies outlining our data handling and IP compliance practices. These policies are available to users, ensuring transparency and trust in how we develop and deploy our AI systems. We are committed to informing users about our responsible approach to IP protection.
  8. Ongoing Compliance and Expertise We regularly consult with legal experts specializing in intellectual property and AI regulations to ensure our practices align with evolving standards, including the EU AI Act and U.S. copyright laws. Our proactive approach includes continuous review of our training data, output guardrails, and compliance measures to provide users with reliable, legally sound AI solutions.