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Driver's licenses, medical records, bank statements and photos arrive as attachments and scans. Text-only DLP can't see inside them.
Adjusters, agents, brokers, TPAs and vendors share files by email and links, and sensitive data ends up far from core systems.
The NAIC model law, NYDFS Part 500, GLBA and HIPAA (for health lines) each expect inventories, access controls and timely breach notice.
Teams are testing AI for summaries and triage, and need guardrails before policyholder data goes into prompts.
Policyholders send photos of licenses, medical records and bank details through support tickets and chat. Strac redacts them in real time, including text inside images, so claims data stays where it belongs.
Illustration of Strac's browser and endpoint protection.
Adjusters and underwriters use AI to summarize claim files. Strac strips SSNs, license numbers and medical details from prompts and blocks claim attachments from being uploaded to AI tools.
As AI agents connect to claims systems, CRMs and document stores, Strac governs every tool call and redacts policyholder PII and PHI in responses before agents see it.
In-house OCR finds SSNs, license numbers, bank accounts and medical details inside scans and photos, then redacts or restricts them.
Find claim files shared publicly or with personal accounts and revoke access automatically.
Redact card and bank details from policyholder conversations to keep service tools out of PCI scope.
Redact policyholder data from prompts and uploads so teams can pilot AI safely.
Detect sensitive files moving to USB, personal storage or unsanctioned apps.
Strac ships with 250+ pre-built detectors powered by in-house ML and OCR models, so data inside scanned PDFs and images is caught too. Need something unique to your business? Add a custom data element and Strac trains a detector for it. See the full catalog →
What it asks: A written security program based on risk assessment, with controls over nonpublic information and notice to the commissioner after a cybersecurity event.
How Strac helps: Continuous discovery and protection of nonpublic information across SaaS and cloud, with logs for investigations.
What it asks: Asset inventory, access privilege management, monitoring and 72-hour notice of cybersecurity events.
How Strac helps: Visibility into where nonpublic information lives and who can access it, with real-time remediation.
What it asks: Safeguards for nonpublic personal information, with state insurance regulators enforcing for insurers.
How Strac helps: Inventory, redaction and access control for customer financial data across collaboration tools.
What it asks: Safeguards for PHI handled by health plans and their business associates.
How Strac helps: Detect the 18 HIPAA identifiers in claims files, email and support tools, and redact them automatically.
HIPAA DLP →Strac provides technical controls that support these requirements. It does not by itself make an organization compliant; your auditors and counsel make that call.
55+ native integrations across SaaS, cloud, browser, endpoint and AI, all on the same engine.
Yes. Strac's in-house OCR models extract text from scanned PDFs, photos of IDs and images of medical records, then classify it with the same detectors used for text.
Strac provides technical controls both expect: an inventory of where nonpublic information lives, visibility into who can access it, monitoring and automated remediation, plus logs that help when you need to investigate an event.
Yes. Strac detects the 18 HIPAA identifiers and redacts or restricts PHI across email, support, drives and AI tools.
Yes. Strac redacts policyholder PII and PHI from prompts and uploads before they reach ChatGPT, Claude or Copilot.
Most teams connect their first integration in under 15 minutes, and historical scans run in the background.
Strac for other industries: