Part 6Upcoming
Privacy-Enhancing Technologies
Understanding where masking, tokenization, synthetic data, differential privacy, and federated approaches fit.
Coming soonTDG Publication Series
Privacy and Secure AI.
A practical eight-part series for federal and regulated organizations seeking to use AI while preserving privacy, protecting sensitive information, and maintaining operational accountability.
Explore the roadmapWhy this series
AI changes how information moves, persists, and creates new meaning.
A secure model can still support an inappropriate use of information. A privacy policy can still fail if identities, retrieval paths, connected tools, logs, and downstream actions are not technically controlled.
Each article connects privacy intent to architecture, delivery, operations, and evidence so that safeguards become usable decisions rather than abstract principles.
Eight-part sequence
From the first data decision to continuing assurance.
Published articles are linked automatically. Upcoming topics remain visible so readers can follow the complete privacy and security operating model.
Part 1Published
Before the Prompt
Classifying, minimizing, and authorizing information before it reaches an AI service.
Read the article →Part 2Published
Safe Prompting
Practical rules for prompts that may involve personal, controlled, proprietary, or security-sensitive information.
Read the article →Part 3Published
Protecting Retrieval and Embeddings
Applying authorization, source governance, isolation, and leakage controls across retrieval systems.
Read the article →Part 4Published
Identity and Least Privilege for Agents
Constraining delegated authority, tools, credentials, approvals, and downstream actions.
Read the article →Part 5Published
The Information AI Leaves Behind
Managing privacy exposure in prompts, outputs, chat history, telemetry, logs, caches, and evaluation data.
Read the article →Part 7Upcoming
AI Vendor Data Questions
Examining retention, secondary use, training, subprocessors, location, deletion, incidents, and audit rights.
Coming soonPart 8Upcoming
Proving the Safeguards Work
Testing, monitoring, incident response, control evidence, and recurring reassessment for operational AI.
Coming soonDesigned for
Leaders accountable for information, systems, mission, and delivery.
Mission ownersPrivacy officialsSecurity teamsData stewardsAI and platform teamsAcquisition leaders
Privacy and Secure AI
Follow the privacy and secure AI series.
Receive the next practical privacy and security perspective when it is published.
Continue the conversation
Working through an AI privacy or security decision?
Share the mission context, information boundary, and operating decision where greater clarity would help.
Contact TDG