
Suprbox
WebsiteFreemium
Suprbox is a secure, policy-gated document vault for autonomous AI agents that authenticates every request, enforces rules, and logs access before any data is delivered.
https://www.suprbox.com/?ref=producthunt

Product Information
Updated:May 18, 2026
What is Suprbox
Suprbox is a security layer that sits between your organization’s documents and the AI agents that need to read them. Designed for teams running “real agents against real data,” it provides a controlled vault where documents are ingested and encrypted, then exposed to agents only through governed access. Suprbox supports popular agent ecosystems (e.g., OpenAI, Claude, Gemini, LangChain, CrewAI, AutoGen, MCP) and emphasizes auditability and compliance with features like tamper-proof logging and options such as region pinning and SOC 2 Type II posture.
Key Features of Suprbox
Suprbox is a secure, policy-gated document vault designed to sit between your organization’s documents and autonomous AI agents. It ingests and encrypts documents, authenticates every agent request, evaluates it against configurable rules (e.g., sensitivity classification, PII/secrets detection, time windows, rate limits, and scope controls), and then signs, delivers, and logs the outcome. The platform emphasizes auditability and compliance with tamper-proof logs, per-vault encryption keys, optional region pinning, and integrations with common agent ecosystems (e.g., OpenAI, Claude, Gemini, LangChain, AutoGen, CrewAI, Zapier, n8n, MCP).
Policy-gated access for every request: All agent reads flow through a single gate with three checkpoints—authentication, policy evaluation, and signed delivery—so access decisions are enforced consistently before any data leaves the vault.
Per-vault encryption and secure ingestion: Documents are ingested and encrypted with AES-256 at rest using per-vault keys (rotatable on demand), supporting a zero-knowledge-style posture where even staff cannot read stored content.
Rules engine with security primitives: Configure guardrails using rule types such as classification tiers, data detectors (PII/secrets), keyword triggers, time windows, rate limits, session TTL/leases, and read-scope limits (metadata vs excerpts vs full content).
Human-in-the-loop approvals and write controls: Enforce read/write/edit/delete/export permissions and require approvals for sensitive operations, enabling controlled workflows for regulated or high-risk documents.
Tamper-proof audit and monitoring: Every allow/deny/throttle event is signed and chained, exportable to destinations like S3/SIEM, with configurable retention (up to 7 years on enterprise plans).
Agent ecosystem compatibility and API key scoping: Works with popular agent stacks via SDK/REST and scoped API keys, enabling per-agent permissions matrices and controlled access across multiple teams and vaults.
Use Cases of Suprbox
Sales research agents with strict data boundaries: Let a sales bot access pipeline and revenue documents while blocking exposure to unrelated sensitive finance files (e.g., salary data), with full auditing of every read.
Legal contract review with compliance controls: Enable AI contract reviewers to read agreements while preventing modification/export, requiring approval for documents tagged Restricted and preserving chain-of-custody logs.
Engineering orgs running fleets of agents: Manage many agents across multiple vaults with scoped API keys, rate limits to prevent runaway loops, and centralized audit logs to prove who accessed what and when.
HR automation with PII safeguards: Support onboarding or policy assistants while detecting and controlling PII exposure, restricting access to business hours, and enforcing short session leases to reduce risk.
Regulated data access with region pinning: Keep vault data in a chosen region (US/EU/APAC) to support compliance needs (e.g., GDPR considerations) while maintaining consistent policy enforcement and long retention logs.
Pros
Strong security posture: AES-256 at rest, per-vault keys, policy gating before data egress, and signed/tamper-resistant auditing.
Granular governance: multiple rule primitives (PII detection, time/rate limits, scope controls, approvals) allow precise guardrails per vault/agent.
Designed for real agent workflows: scoped API keys, session leases, and compatibility with common agent frameworks and automation tools.
Cons
Advanced capabilities are tier-dependent: Team/Enterprise features (e.g., longer retention, SSO/SCIM, region pinning) are not fully available on the free tier and some tiers are listed as “coming soon.”
Adds an extra control layer: routing agent requests through a gate can introduce operational overhead (policy design, approvals workflows) compared with direct file access.
How to Use Suprbox
1) Create an account and sign in: Go to https://www.suprbox.com/register to create an account, then sign in to access the Suprbox dashboard.
2) Create your first vault: In the dashboard, create a vault (a secure container for documents). Vaults are the unit where encryption, rules, permissions, and audit retention are applied.
3) Choose where your vault lives (if available on your plan): If your tier supports it (e.g., Enterprise), select region pinning (US/EU/APAC) so data stays in the region you choose.
4) Ingest documents into the vault: Add documents to the vault by connecting sources such as streaming from an S3 path (e.g., s3://...) or by queuing files (emails with attachments, PDFs, DOCX, JSON, etc.). Suprbox ingests and encrypts data at rest (AES-256) with per-vault keys.
5) Classify and label documents (so policies can target them): Apply sensitivity tiers/tags (e.g., Public, Internal, Confidential, Regulated/GDPR) so the rules engine can allow/deny access based on classification.
6) Create API keys for each agent: Generate an API key per agent (scoped permissions). This is how Suprbox identifies who is requesting data and what they are allowed to do.
7) Bind scopes and permissions to the vault: Assign each API key the appropriate vault access and scopes (e.g., read-only vs. broader capabilities). Keep keys separated per agent to avoid over-broad access.
8) Configure global rules (guardrails that apply broadly): Set baseline policies that should apply across your environment (e.g., default deny for unknown agents, default throttles, or default redaction expectations).
9) Configure per-vault rules (fine-grained policy): Add rules specific to the vault’s data and use case. Suprbox evaluates every request against these rules before any bytes leave the vault.
10) Add a Classification rule: Restrict access by sensitivity tier (e.g., allow an agent to read Internal documents but deny Regulated/PHI). This enforces clearance-style access.
11) Add a Data detector rule: Enable detection for PII, secrets, API keys, and regulated data. Configure the action to mask/redact/block so sensitive strings don’t reach the model.
12) Add a Content keywords rule: Define keywords/phrases (e.g., “acquisition”, “layoff”, “merger talks”) and set actions (allow with approval, throttle, or deny) when matched.
13) Add Edit & delete controls: Control write/edit/delete/export operations. For read-only agents (e.g., contract reviewers), enforce read-only and require approval for any modification/export attempt.
14) Add Rate limit rules: Cap reads per hour per vault (e.g., 60/hr) to prevent runaway loops and reduce cost and exposure.
15) Add Time window rules: Restrict access to approved hours (e.g., Mon–Fri 08:00–19:00). Requests outside the window are denied unless you explicitly allow exceptions.
16) Add Read scope rules: Limit what the agent receives: metadata only, excerpts up to N characters/pages, or full content. This right-sizes the payload to the task.
17) Add Copy & download controls: Block raw downloads, watermark responses, or strip attachments to reduce leakage risk before data leaves the vault.
18) Add Session TTL rules: Set a lease duration (e.g., 15 minutes). After TTL expires, requests return lease_expired until a new session is opened.
19) Enable approvals (human-in-the-loop) where needed: For sensitive actions or restricted tags, require human approval. Use a bypass window only when explicitly needed and keep it audited.
20) Integrate your agent using the Suprbox API/SDK: Update your agent to request documents through Suprbox (via SDK or REST). Include the agent’s API key and the operation header (e.g., X-Suprbox-Op) so Suprbox can authenticate and evaluate the request.
21) Run a test request and verify policy outcomes: Have a known agent request a known document and confirm the expected result (Allow/Throttle/Require approval/Deny). Also test an “unknown agent” to confirm it is denied.
22) Inspect the audit log for every request: Review logged events (reads, denies, throttles, approvals). Suprbox provides tamper-proof, signed/chained audit events for chain-of-custody.
23) Export audit events to your tooling (optional): If needed, export audit logs to S3/SIEM or your destination of choice and set retention (e.g., 30 days on Starter, longer on higher tiers).
24) Rotate per-vault encryption keys when required: Use per-vault key rotation on demand to reduce blast radius and maintain security hygiene.
25) Scale to multiple agents and vaults: Create additional vaults for departments (Sales, Legal, HR, Engineering), issue separate API keys per agent, and apply per-vault rules so each agent only sees what it needs.
Suprbox FAQs
Suprbox is a secure storage layer for autonomous AI agents. It sits between your documents and any AI agent that wants to read them, identifying each request, evaluating it against your rules, and logging it before any data leaves the vault.
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