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API keys, cloud credentials and private keys get pasted into Slack, Jira tickets and Confluence pages, where anyone in the workspace can find them.
Support exports, debug logs and analytics extracts carry customer PII into drives, warehouses and tickets far from the production systems built to protect it.
Security questionnaires, SOC 2 audits and DPAs ask how you classify data, prevent leakage and control access. "We trust our engineers" isn't an answer.
Engineers paste code and data into AI assistants, and MCP-connected agents now read and write across your systems on users' behalf.
Engineers paste logs, tokens and customer records into Slack while debugging, and support tickets carry customer PII and screenshots. Strac redacts secrets and PII as they are shared, so incidents don't turn into breaches.
Illustration of Strac's browser and endpoint protection.
Your developers live in ChatGPT, Claude and Copilot. Strac catches API keys, credentials and customer data in prompts and blocks production exports from being uploaded, without slowing anyone down.
Coding agents and AI assistants now connect to GitHub, Jira, Slack and Google Drive through MCP. Strac shows every agent and tool call, lets you block or approve access, and redacts secrets and PII inside responses.
Detect API keys, AWS keys, private keys and passwords as they're posted, redact them and alert the owner to rotate.
Mask PII and payment data that customers send in tickets and chats before it reaches agents, exports and integrations.
Redact sensitive data from prompts and uploads, and apply DLP to what AI agents access through MCP, all from one control point.
Scan buckets, drives and warehouses for customer PII and secrets, see who has access, and remove public links.
Detect sensitive files moving to USB, personal cloud storage or unsanctioned apps, with no network proxy.
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: Logical access controls, protection of confidential information, monitoring and incident response.
How Strac helps: Continuous discovery of confidential and customer data, automated remediation, and logs auditors can sample.
SOC 2 DLP →What it asks: Classification of information, data masking and data leakage prevention controls.
How Strac helps: Strac implements classification, masking and DLP directly across SaaS, cloud and endpoints, with evidence for your ISMS.
ISO 27001 DLP →What it asks: Data minimization, data protection by design and appropriate security of processing.
How Strac helps: Remove personal data from tools where it has no business being, and redact it at the point of entry.
What it asks: Reasonable security for personal information and the ability to know what data you hold.
How Strac helps: An inventory of where personal information lives across your SaaS and cloud stack.
CCPA DLP →What it asks: Proof that you classify customer data, prevent leakage and restrict access.
How Strac helps: A clear answer, backed by dashboards: what sensitive data exists, where, and what happened to it.
What it asks: Control over what data employees and agents send to AI tools.
How Strac helps: Redaction for AI prompts and uploads, plus MCP DLP for agent traffic, under one policy engine.
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.
Strac implements the data classification, data masking and data leakage prevention controls those frameworks ask about (for example ISO 27001:2022 Annex A 5.12, 8.11 and 8.12), across SaaS, cloud and endpoints, and keeps the logs auditors sample.
Yes. Strac detects API keys, AWS access and secret keys, private keys, passwords and crypto seed phrases in messages, tickets, documents and files, then redacts them and alerts the owner to rotate.
Yes. Beyond the pre-built detectors, you can define custom data elements and Strac trains models for them, which is how teams protect source code, product designs and other confidential files.
Yes. Strac redacts sensitive data in prompts and uploads to ChatGPT, Claude, Gemini and Copilot, and its MCP connectors apply DLP policies to what AI agents read and write.
Only when it matters. Strac runs by API and a lightweight extension or agent, with no network proxy. When something is redacted, the user gets a short, specific explanation.
Strac for other industries: