Trusted by engineering teams at
AI AGENT ACCELERATION
Most organizations block agents from production databases because the risk is too high. Hoop deploys in front of every data source. It masks sensitive data, enforces guardrails, and logs every session. Agents reach the data. Risk stays managed. One deployment covers every protocol.
MEASURABLE IMPACT
Every session through the gateway generates data. Agent access translated into use cases unlocked, development time recovered, and audit hours eliminated.
920 hrs/mo
of AI development velocity recovered
Agents blocked by manual access requests lose 47 minutes each. Hoop makes it 34 seconds. That is 6 full-time engineers worth of AI development time returned per month.
$2.4M
in new agent use cases unlocked per quarter
Data sources that were off-limits to agents are now accessible. Every unblocked use case translates to pipeline value the board can see.
0 weeks
of engineering time on audit prep
Evidence generates automatically from real sessions. SOC 2 audits cost zero engineering hours. Agents run. Compliance stays current.
10 → 1
days to provision access
25
engineers freed from toil
“What used to take 10 days now takes one. We freed 25 engineers from access management toil and put them back on high-impact work.”
WHAT AGENTS GET
Agents access the data they need. You control what they can do. No per-protocol setup. No rule sets to maintain per data source.
Agents reach sensitive data without seeing what they should not. PII, credentials, and financial records masked at the wire before the agent processes the response. No schema changes. No application rewrites. Agents get the data. Humans get the redactions.
Learn more →Agents operate with guardrails, not handcuffs. Destructive commands blocked at the gateway before execution. The agent keeps working on everything it is allowed to do. Security teams find out from reports, not incidents.
Learn more →Every agent session is classified by risk automatically. Anomalous access patterns are flagged before they become incidents. You see what agents are actually doing across production, not what logs approximate.
Learn more →High-risk agent actions pause for human review. Approval in Slack, ticket in Jira, escalation in Teams. Agents stay unblocked on everything else. No one watches a dashboard at 3 AM.
Learn more →“Developers got autonomy. Security got auditability. We stopped choosing between the two.”
HOW IT WORKS IN PRACTICE
The Blocked Use Case
The head of AI wants agents querying the transaction database. Compliance says no. The data is too sensitive. Hoop deploys in front of the database. PII is masked at the wire. The agent gets the data it needs. Compliance gets the audit trail. The project ships.
The AI Agent
An AI agent queried production. Sensitive fields were masked before the agent processed the response. A destructive command was blocked at the gateway. The agent kept working on everything it was allowed to do. The security team found out from the weekly report, not a 3 AM page.
The MCP Problem
Twelve data sources. Twelve MCP gateways. Twelve rule sets to maintain. One legacy protocol MCP does not support. Hoop replaces all of it. One gateway, transparent at the wire, one rule set that covers every protocol. Oracle included.
“Zero setup for GDPR, SOC2, and PCI across our databases, Kubernetes clusters, and AWS accounts. We replaced our in-house tool in a week.”
“Manual financial operations were our biggest bottleneck. Hoop automated access, eliminated human error, and gave us audit trails that are regulator-ready in real time.”
A 30-minute walkthrough shows exactly how fast your agents can reach data they cannot touch today.
