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[...] to Avoid:** - Review privacy policies of tools like [ChatGPT](https://openai.com/chatgpt), [Claude](https://claude.ai), or [Jasper](https://www.jasper.ai) - Use enterprise versions with data protection guarantees - Anonymize data before inputting into AI tools - Consider on-premise solutions like [OpenAI's Azure integration](https://azure.microsoft.com/en-us/products/ai-services/openai-service) - Consult resources from the [International Association of Privacy Professionals (IAPP)](https://iapp.org) ## 4. **Using AI Tools Without Understanding Their Limitations** **The Mistake:** Expecting AI to [...]

October 24, 2025

[...] https://www.nist.gov/itl/ai-risk-management-framework) - Mistake 3: Weak prompting and lack of process How to avoid: Provide role, audience, goal, constraints, examples, and success criteria in prompts; iterate with drafts; create prompt templates and a prompt library for consistency. Sources: OpenAI Prompt Engineering (https://platform.openai.com/docs/guides/prompt-engineering), Anthropic Prompt Engineering (https://docs.anthropic.com/en/docs/build-with-claude/prompt-engineering), Google Gemini Prompting (https://ai.google.dev/gemini-api/docs/prompting) - Mistake 4: Mishandling personal or co [...]

October 24, 2025

[...] framework) - Mistake 3: Weak prompting and lack of process How to avoid: Provide role, audience, goal, constraints, examples, and success criteria in prompts; iterate with drafts; create prompt templates and a prompt library for consistency. Sources: OpenAI Prompt Engineering (https://platform.openai.com/docs/guides/prompt-engineering), Anthropic Prompt Engineering (https://docs.anthropic.com/en/docs/build-with-claude/prompt-engineering), Google Gemini Prompting (https://ai.google.dev/gemini-api/docs/prompting) - Mistake 4: Mishandling personal or confidential data How to avoid: Don’t paste [...]

October 24, 2025

[...] nto consumer chatbots. Use enterprise-grade controls, data residency, and logging. Update your data-sharing SOPs and DPA. Sources: GDPR overview (EU) (https://commission.europa.eu/law/law-topic/data-protection/data-protection-eu_en), CCPA/CPRA (California) (https://cppa.ca.gov/regulations/ccpa/), OpenAI API Data Usage (no training on API data by default) (https://openai.com/policies/api-data-usage-policies), Google Vertex AI – Data governance & security (https://cloud.google.com/vertex-ai/docs/generative-ai/data-governance-security), Microsoft Copilot – Security, compliance, privacy (https://learn [...]

October 24, 2025

[...] , and logging. Update your data-sharing SOPs and DPA. Sources: GDPR overview (EU) (https://commission.europa.eu/law/law-topic/data-protection/data-protection-eu_en), CCPA/CPRA (California) (https://cppa.ca.gov/regulations/ccpa/), OpenAI API Data Usage (no training on API data by default) (https://openai.com/policies/api-data-usage-policies), Google Vertex AI – Data governance & security (https://cloud.google.com/vertex-ai/docs/generative-ai/data-governance-security), Microsoft Copilot – Security, compliance, privacy (https://learn.microsoft.com/en-us/copilot/security-compliance-privacy/) - Mistak [...]

October 24, 2025

[...] r generated media How to avoid: Prefer providers with clear training data provenance, content credentials, and enterprise indemnification; keep records of prompts/outputs and licenses. Sources: Adobe Firefly for Business (IP and indemnity) (https://www.adobe.com/products/firefly/business.html), OpenAI – Copyright Shield (https://openai.com/blog/copyright-shield), Getty Images – Generative AI (https://www.gettyimages.com/ai/generative) - Mistake 13: Underestimating cost at scale How to avoid: Forecast token/usage costs, set rate limits, cache responses, and choose model sizes appropriate to th [...]

October 24, 2025