No thought-leadership fluff. Real controls, real audit questions, real regulator language — from the team building PromptShielder.
Three techniques, three different threat models, three different failure modes. The one you want for LLM prompts is not the one your database uses.
Copilot and ChatGPT are the two largest new secret-leak vectors in engineering orgs. Here is the pragmatic mitigation stack that does not slow developers down.
A blunt side-by-side of what each major consumer LLM does with your prompts as of 2025 — retention, training, human review and enterprise carve-outs.
A one-page AI AUP template that ships in three sections — approved tools, disallowed content, incident path — and a discussion of what to leave out.
Finance teams have the most concentrated sensitive-data workload in the company. Here is the redaction playbook that keeps LLM productivity without triggering an MNPI event.
A small, running list of adversary techniques that specifically target the seam between your employees and the LLM. Use it as a red-team runbook.
Four artefacts your auditor will ask for the first time AI usage comes up in a SOC 2 review — and how to generate them without a six-month project.
Ambient scribes and LLM assistants are quietly becoming standard in clinical workflows. Here is the redaction pattern that keeps the compliance surface manageable.
PCI DSS 4.0 tightens scope and evidence requirements. Pasting a PAN into ChatGPT is a scope-expansion event most merchants have not accounted for.
A candid technical look at what regex-based detection misses in 2025, why NER on-device is not a panacea, and the hybrid approach PromptShielder uses.
Consultants live in NDAs. Here's how to keep the productivity gain of an LLM without ending up on the wrong side of a confidentiality clause.
A three-step workflow legal teams can actually adopt without violating client privilege, court rules or professional conduct obligations.
A slow walk through the three architectures for prompt PII redaction — server proxy, browser extension, in-page tool — and why the in-page tool is the one that survives contact with real users.
The Act is aimed at model providers and deployers, but a lot of its obligations land on the team that pastes personal data into ChatGPT. Here is the short version.
The short answer is no. The long answer explains what changes with a BAA, what a covered entity can actually do, and what a redaction control buys you in the audit.
The two are constantly conflated in security roadmaps. They are not the same problem, they don't share a mitigation, and the controls for one are useless against the other.
Unmanaged LLM usage is now the biggest unmapped data-exfiltration channel inside enterprises. Here is what the 2024 monitoring numbers show and what the pragmatic response looks like.
A workable checklist for teams inside the EU using ChatGPT, Claude and Gemini day-to-day — DPIA triggers, DPA gaps, cross-border transfers and the redaction control that closes them.
How everyday LLM prompts became one of the largest unmonitored data-exfiltration channels — and what actually works to close it.