The Incogni Study Ranks 13 Generative‑AI Platforms by Privacy‑Risk, Flagging the Biggest Threats to User Data
What Happened — Incogni’s “Gen AI and LLM Data Privacy Ranking 2026” evaluated 13 popular AI services (including ChatGPT, Claude, Gemini, Copilot, etc.) and assigned each a privacy‑risk score based on data‑handling practices, opt‑out options, and third‑party sharing. The analysis found that the largest platforms generally pose the highest privacy risk, with only one major outlier showing comparatively better safeguards.
Why It Matters for Compliance & Audit Readiness
- The study highlights concrete gaps in consent management, data‑retention, and transparency—areas directly addressed by SOC 2 CC6 (Confidentiality) and privacy‑specific controls.
- Demonstrates the need for continuous evidence that your organization’s AI‑tool usage aligns with GDPR/CCPA obligations and internal privacy policies.
- Verisq’s CookiePLUS capability can provide audit‑ready consent logs and DSAR automation to prove compliance with privacy regulations when leveraging high‑risk AI services.
Who Is Affected
- SaaS providers and enterprises that embed generative‑AI APIs (e.g., marketing, customer support, development tools).
- Industries handling regulated data—financial services, healthcare, education, and any organization subject to GDPR/CCPA.
Recommended Actions
- Inventory every AI service used across your organization and map it to the Incogni risk scores.
- Align each service with SOC 2 CC6 controls: verify consent capture, data‑minimization, and opt‑out mechanisms.
- Deploy CookiePLUS to automate consent collection, maintain DSAR readiness, and generate continuous audit evidence.
Technical Notes – The ranking methodology examined: (a) whether user prompts are retained for model training, (b) availability of user‑opt‑out, (c) clarity of privacy policies, and (d) third‑party data sharing. No CVEs or exploit code were disclosed; the risk is procedural and policy‑driven. Source: ZDNet article