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Connect Claude, ChatGPT, Cursor, Copilot and custom agents to Salesforce, Slack, Snowflake, GitHub and 25+ more — then see every tool call, control and block what each agent can reach, and remediate the sensitive data in every response. Access control alone tells you who called what; Strac also shows you — and protects — the data inside the call.
Strac sits inline on every connector: it captures each MCP invocation, flags the sensitive data inside, remediates it before the model sees it, and logs it as audit evidence. Not just who called what — the data in the call.
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Every Strac connector runs as a governance gateway in front of the SaaS — see what each agent can reach, control its access and actions, protect sensitive data in the tool call — redact, mask, or vault — and audit every call.
Let agents search channels, summarize threads, and pull shared files — Strac controls what each agent can reach and protects PII and pasted secrets across messages and Slack Connect.
Let agents search accounts, summarize opportunities, and update approved records — Strac controls which records and fields each agent can touch, protects sensitive fields, and logs every action.
Let agents work contacts, deals, and tickets — Strac governs CRM access and protects customer PII and payment data across records and notes.
Let agents work across Drive, Docs, Sheets, Calendar, and Chat — Strac governs which surfaces each agent can reach and protects regulated data across them.
Let agents work across SharePoint, OneDrive, Outlook, and Teams — Strac governs every M365 surface an agent can reach and protects the data it returns.
Let agents triage inboxes, summarize threads, and read attachments — Strac inspects bodies and files and redacts financial data and PII, with OCR on image PDFs.
Let agents find, read, and summarize files across My Drive and shared drives — Strac enforces sharing permissions and redacts PDFs, DOCX, XLSX, and images, OCR included.
Let agents search sites, lists, and document libraries — Strac controls library access and redacts content (including text inside images), honouring your classification labels.
Let agents read repos, PRs, issues, and Actions logs — Strac blocks risky write actions, scans for secrets, keys, and source code, and logs every call.
Let agents search pages, blocks, and databases — Strac controls which pages an agent can read and catches pasted credentials and customer rows in operational docs.
Let agents search issues, summarize sprints, and update fields — Strac logs every action, protects secrets in comments, and OCRs screenshots and HAR attachments.
Let agents pull from spaces, pages, and runbooks — Strac governs space access and redacts the secrets and customer identifiers that leak into wiki docs.
One connector for Jira, Confluence, and Bitbucket — Strac governs access per product and redacts secrets, PII, and source code across the suite.
Let agents resolve and summarize tickets — Strac logs every ticket an agent reads and masks customer-pasted card numbers and PII in conversations and macros.
Let agents summarize conversations and customer history — Strac logs every conversation an agent opens and masks PII and payment data in the PII-richest support surface.
Agents work incidents, CMDB records, and the knowledge base — Strac controls actions and redacts PII and secrets in ticket data.
Let agents pull recordings, transcripts, and chat — Strac enforces corporate-vs-personal account use and protects PII/PHI in transcripts before the model reads them.
Let agents read tasks, projects, and comments — Strac governs task access and protects client data and credentials buried in custom fields.
Let agents triage issues and summarize cycles — Strac controls issue access and protects the credentials and customer data engineers paste into comments.
Let agents find and summarize files, folders, and Box Notes — Strac controls folder access and protects content across M&A diligence rooms and external-collaborator folders.
Let agents browse and read files, Paper docs, and shared links — Strac enforces corporate-vs-personal accounts and protects sensitive content in the tool call.
Agents pull customers, charges, and invoices from Stripe — Strac masks card numbers (PANs) and PII on every tool call.
Agents query Snowflake in natural language via Cortex — Strac governs which tables each agent can reach and redacts PII, PCI, and PHI in query results before they reach the model.
Genie turns prompts into SQL across Unity Catalog — Strac controls table-level access per agent and redacts regulated data in the results.
Agents run NL→SQL across BigQuery datasets — Strac scopes what each agent can query and masks PII and PCI in returned rows.
Agents read and write Postgres over MCP — Strac enforces per-agent access and redacts sensitive columns inline.
