Cart(
0
)
No items found.
Product is not available in this quantity.
.webp)
.avif)
Compound structures, sequences, assay results and model weights live in documents, notebooks and chat threads. There's no regex for a trade secret.
Scientists connect AI assistants and agents to drives, wikis and data stores. Every connection is a new path for data to leave.
Trial and patient data brings HIPAA and GDPR obligations into teams built for speed, not compliance.
Pharma partners and investors run security diligence before sharing data or signing deals. Weak data controls slow both down.
Research, clinical and partner teams share data in Slack and ticketing tools all day. Strac redacts participant identifiers and PHI in messages and attachments before they spread.
Illustration of Strac's browser and endpoint protection.
Scientists use AI to analyze results and draft reports. Strac removes participant identifiers from prompts and blocks confidential research files, flagged by a custom data element trained on your IP, from being uploaded to AI tools.
AI-native research teams connect agents to drives, notebooks and lab systems. Strac is the single control point: it sees what each agent touches and redacts PHI and confidential IP in every response.
Apply DLP to prompts, uploads and agent activity from one control point. Genesis Molecular AI uses Strac to see what users and their agents are doing.
Train custom data elements on your own research documents so Strac can find and protect confidential IP, not just standard PII.
Find files shared publicly or with personal accounts and revoke access automatically when they contain sensitive data.
Detect PHI and personal data from studies in chat, email and buckets, and redact or restrict it.
Detect sensitive files moving to USB, personal cloud storage or unsanctioned web 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: Trade secret law generally expects owners to take reasonable measures to keep information secret.
How Strac helps: Demonstrable controls: classify confidential research, restrict sharing and stop it from leaving through chat, email and AI.
What it asks: Safeguards for protected health information handled by covered entities and business associates.
How Strac helps: Detect the 18 HIPAA identifiers across SaaS, cloud and AI tools, with automated redaction and an audit trail.
HIPAA DLP →What it asks: Data minimization and security for personal data, including special category health data.
How Strac helps: Find and minimize personal data across collaboration tools, and redact it at the point of entry.
What it asks: Documented controls for confidentiality, classification and data leakage prevention.
How Strac helps: Classification, masking and DLP across your stack, with evidence ready for questionnaires.
SOC 2 DLP → ISO 27001 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 lets you create custom data elements and trains models on examples of your confidential documents, so it can detect proprietary research, not only standard identifiers.
Strac redacts sensitive data in prompts and uploads to AI tools and applies DLP policies to what AI agents access through MCP connectors, giving you one control point for users and their agents.
Strac detects PHI and personal data across SaaS, cloud and AI tools and redacts or restricts it automatically, with logs for audits. It supports your compliance program; it does not replace your legal assessments.
No. Strac runs by API and a lightweight extension or agent, without proxies. Policies target sensitive data only, and users get a short explanation when something is redacted.
Most teams connect their first integration in under 15 minutes. Custom data elements can be added as you go.
Strac for other industries: