Skip to content
DenseChip
Learn
PracticeCode labInterview

DenseChip

Navigate

Menu

LearnPracticeCode labInterview

Tools

All toolsSV editorCode repoResume
DenseChip

Practice, courses, and chip-design tools in one focused workspace.

LearnPracticeCode labInterviewToolsLearning paths

© 2026 DenseChip

AboutContactPrivacyTerms
Skip to lesson

Course contents

  • Getting Started with AI for VLSI Engineers5
  • Just Enough AI: Models and Context15
  • Prompting13
  • Trust and Verification14
  • Using AI for Engineering Work17
    • RTL and Testbench Assistance
    • Debugging with AI
    • Scripts and Automation
    • Data, Privacy and IP
      • What Never to Paste
      • Policy and Approved Tools
      • Sanitise Before Sharing
      • Local Tools, Hosted Tools, and Security Review
  • Engineering Walkthroughs7
  • Practical Foundations for AI Workflows4
  • Engineering Data5
  • Retrieval-Augmented Generation6
  • Agents and Tool Use18
  • Agent Design8
  • MCP and Skills6
  • Multi-Agent Design6
  • Practical Capstone6
  • Tokens, Cost and Latency12
  • Agentic Workflows for Chip Teams18
  • Interview and Judgment10
  • AI Skills: Full Course Index
  • Working with AI Glossary
  • Working with AI Cheatsheet
Loading lesson

‹Data, Privacy and IP
  1. Topics
  2. AI Skills for VLSI Engineers
  3. Using AI for Engineering Work
  4. Data, Privacy and IP
  5. What Never to Paste

Everyday Engineering Assistance · Beginner to Intermediate

What Never to Paste

Keep credentials out and check approval before sharing design data, customer data, or internal identifiers.

On this page

    Proprietary design data

    Register-transfer-level code, netlists, constraints, and floorplans can contain proprietary design information. Use them only where company classification and approval explicitly permit the intended data flow. Confidentiality, contractual, and export-control questions require the responsible company reviewers; neither this lesson nor a redactor establishes legal permission.

    Failure logs often quote design detail beside the failure. Removing that detail may reduce disclosure, but the remaining failure information still needs classification and approval before sharing.

    Item

    Why classification and approval matter

    RTL and netlists

    The product implementation; the most direct form of design IP.

    Constraints and floorplans

    Timing, placement, and process detail with commercial value.

    Full failure dumps

    Long excerpts that embed design detail around the failure lines.

    Token counts below are approximate and tokenizer-dependent. English prose averages about 3 to 4 characters per token with common tokenizers, with fewer for code, numbers, hex, and non-Latin text.

    The block below estimates prompt size from stated example values. Small excerpts still cost thousands of tokens.

    plaintext
    1
    2
    3
    4
    pasted log: 800 lines, 40 characters per line (stated example values)
    characters = 800 x 40 = 32000
    tokens approx = 32000 / 4 = 8000 (approximate, tokenizer-dependent)
    this is a size illustration, not a lower bound or a data-sharing decision

    Credentials and access data

    Passwords, keys, and tokens can grant access. Keep credential values out of prompts. Storage, logging, forwarding, and retention depend on the actual deployment and configuration; verify those conditions rather than assuming session text is ephemeral.

    Short-lived tokens carry the same risk while valid. Rotation after exposure is incident response, not prevention.

    Secret

    Fake shape

    Rule

    Password

    password = [value]

    Remove the value; assess permission for the remaining failure.

    API key

    api_key: [value]

    Redact the value; use a placeholder name.

    Bearer token

    Bearer [value]

    Redact the value; the header name alone is enough context.

    Customer and internal identifiers

    Customer data belongs to the customer and to the contract. Internal hostnames, paths, and addresses map the company network.

    Sharing either class may disclose sensitive information. Placeholders can reduce direct identification, but surrounding context may still reveal identity, architecture, or customer relationships. Apply the approved handling for the remaining content.

    Identifier

    Placeholder

    Customer names and records

    CUST-A, user-001

    Email addresses

    user@example-team.test

    Internal hosts and paths

    build-07.example, /srv/sim/run-1

    Common mistakes

    Common pitfall

    Trimming the file header while leaving a key on line 400 still pastes the key. Search the whole input for every class before sharing, not just the top.

    Interview

    Likely probes: the never-paste list and why logs are risky.

    • Name four categories to check: design data, credentials, customer data, internal identifiers.

    • Logs quote design detail beside failures, so excerpts need redaction too.

    • Placeholders may preserve useful structure but do not prove anonymity or permission.

    Check yourself A netlist excerpt has no passwords but names an internal server. Is it authorised to paste?

    Not enough information. Check the classification of both the netlist and identifier against the approved account, deployment, and task. Replacing the server name alone does not authorise sharing the netlist.

    Check yourself A token expired yesterday. Is it safe to paste today?

    No. Expiry is hard to verify from the text, and logs keep the pattern; treat every credential as live and redact it.

    Related topics

    • Policy and approved tools

    • Debugging with AI

    Previous

    61 / 173

    Next: Policy and Approved Tools

    Up next

    Up nextPolicy and Approved Tools

    Sign in to save progress

    Practice this lessonReport an error

    See also

    • Sanitise Before Sharing
    • Local Tools, Hosted Tools, and Security Review