PREVENTIVE GUARDRAILS

Block dangerous operations before they execute.

Hoop evaluates every query and command against your guardrail rules in real time. DROP TABLE, DELETE without WHERE, unauthorized schema changes. Blocked at the protocol layer before they reach the database.

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Incoming Query
Waiting for next query...
Ready
Session Log
No sessions yet
0 blocked0 allowed<5ms latency

Your monitoring catches incidents. Guardrails prevent them.

By the time your SIEM fires an alert and a human investigates, the DROP TABLE already ran. The biggest outages in history were commands that should never have reached the environment.

2:47 AM
Alert fires
3:12 AM
On-call sees alert
3:45 AM
Escalation
4:15 AM
Access revoked

90 minutes of exposure

HOW IT WORKS

Define what's dangerous. Hoop blocks it at the protocol layer.

Hoop parses every command in real time inside the session. When a command matches a guardrail rule, it's blocked before it reaches the target system. The user sees a clear message explaining why. The event is logged. Your security team is notified.

Command blocking

DROP, DELETE without WHERE, TRUNCATE, rm -rf, kubectl delete namespace, and any pattern you define. Prevention, not detection.

Scope limiting

Allow SELECT but block DDL. Allow read but block write. Granular per resource, per role, per team.

Rate limiting

Flag or block unusual query volumes, rapid successive operations, or bulk data extraction patterns.

Context-aware rules

Block commands only in production, allow in staging. Different rules for business hours versus off-hours.

APPROVAL WORKFLOWS

Not everything should be blocked. Some things need approval.

Some operations are risky but legitimate. Hoop routes them for human approval via Slack or Teams. One action, one decision. AI agents read freely; when they need to write, a human confirms.

#security-alerts
hoop2:14 PM

Approval required

kubectl apply -f migration-v2.yaml

cluster: prod-us-east · namespace: payments · requested by @alex

Approve
Deny

ORGANIZATIONAL IMPACT

From blocked commands to organizational risk reduction.

Every blocked command, every approval flow, every policy enforcement becomes compliance evidence. Your leadership sees risk reduction at scale, not individual incidents.

DROP TABLE blocked — 3 hours of downtime prevented
Near-miss incidents quantified in cost avoided
Every blocked command becomes compliance evidence
Incidents PreventedThis Quarter
$0 exposure avoided
CRITICAL
DROP TABLE users blocked
Est. 3h downtime prevented
$180K saved
14:32 UTC
HIGH
Unmasked SSNs in API response stopped
2,847 records protected
$2.4M exposure avoided
14:28 UTC
MEDIUM
AI agent attempted prod DELETE
Rejected by @sarah.chen in 28s
Escalation prevented
14:15 UTC
HIGH
PCI card data in Claude Code context
Masked before model ingestion
Compliance maintained
13:58 UTC
CRITICAL
kubectl delete namespace prod
Blocked by guardrail
Full cluster outage prevented
13:41 UTC

How many destructive commands ran in your environment last month?

Most teams don't know. Hoop can show you in your first week.

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