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hoop.dev

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(2)4.0/5

Customers of hoop.dev give their engineers and AI agents access to real context and data without taking on the risk. Instead of building sanitized data lakes or blocking agents from production, teams connect Claude Code, Cursor, analytics agents, and engineers directly to live systems, with policy enforced on every query. hoop.dev sits in the execution path between any identity and all of your infrastructure. Runtime controls turn reactive incident response into proactive data controls, and audit evidence accumulates as a byproduct of normal work. Runtime controls include: Data masking: Masks PII and sensitive fields in responses at the wire-protocol level, before data reaches the engineer or agent. Sensitive data never leaves the gateway. Risk analysis: Classifies every command and query for risk before execution and blocks high-risk operations in real time. Post-session analysis flags anomalous sessions for review. Kill switches: Blocks destructive operations (DROP TABLE, rm -rf) inline and terminates sessions on policy violations, before damage reaches the target system. Just-in-time access: Time-bound access with approval workflows routed through Slack or the web app. Access expires automatically. No standing credentials. Session recording: Captures every command, response, approval, and denial with full replay. Generates evidence for SOC 2, GDPR, PCI DSS, and HIPAA audits automatically. Agent identity: AI agents connecting over MCP inherit the human user's permissions, groups, and rules. Reviewers see a name, not an opaque service account. One audit timeline for humans and agents. hoop.dev supports PostgreSQL, MySQL, MSSQL, MongoDB, Kubernetes, SSH, RDP, HTTP and gRPC APIs, MCP servers, and application consoles (Rails, Django, Elixir). Platform, DevOps, and security teams deploy hoop.dev to replace access tickets with policy and to adopt AI agents in production without waiting on a security review for every use case. hoop.dev is MIT licensed. Star the repo at github.com/hoophq/hoop.

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