Syteca: Top 7 Practices to Prevent Data Leakage via ChatGPT

Generative AI is now embedded in daily workflows, but every prompt to ChatGPT can become a data exfiltration channel if left ungoverned.

Employees increasingly paste source code, customer records, financial figures and internal documents into ChatGPT to speed up their work. For CISOs, CIOs and IT directors, this creates a new class of insider risk that traditional DLP tools were not designed to catch. Syteca published a practical guide covering the top seven practices organizations should adopt to prevent data leakage through ChatGPT while still enabling productivity gains from generative AI.

What was announced

Syteca released an updated advisory titled Top 7 Practices to Prevent Data Leakage through ChatGPT. The publication outlines a structured framework combining policy, user awareness and technical controls. The seven practices cover AI usage policy, employee training, access management, activity monitoring, DLP integration, incident response and continuous auditing. Each recommendation is aligned with common compliance frameworks including GDPR, HIPAA and PCI DSS.

Why this matters

According to industry surveys referenced by Syteca, more than 60% of employees who use generative AI at work admit to sharing potentially sensitive corporate information with public LLM services. For regulated industries the consequences include compliance fines, IP loss and reputational damage. Security leaders need visibility into who uses ChatGPT, what data is shared, and how those actions correlate with existing user behavior baselines. Syteca positions its Insider Threat Management platform as the control layer that makes AI usage observable and auditable.

Technical details

• AI usage policy: formalize approved and prohibited use cases for public and private LLMs.
• Employee training: ongoing awareness programs focused on prompt hygiene and sensitive data handling.
• Access management: role-based access, PAM controls and just-in-time privilege elevation.
• Activity monitoring: session recording and keystroke tracking for ChatGPT and related tools.
• DLP integration: content inspection to block sensitive data before it reaches AI endpoints.
• Incident response: automated alerts on high-risk prompts and rapid session termination.
• Continuous auditing: regular review of AI-related logs and user risk scores.

Preventing data leakage through ChatGPT is not about blocking innovation, it is about giving security teams visibility and control over how AI touches sensitive data

Softprom and Syteca

Softprom is the official distributor of Syteca. Our team helps enterprises deploy Syteca insider threat management, privileged access management and user activity monitoring to secure generative AI adoption. Contact Softprom for a technical demo, pilot deployment or licensing consultation for Syteca.

This content was prepared as part of the Softprom DistriFlow project — an automated system for monitoring and adapting vendor news. Original source: original article.