Multi-Cloud

Security Violations Dashboard

Security violation tracking across AWS, Azure, and GCP with AI-powered attack context and approval-gated remediation. Monitor, analyze, and fix security issues using STRIDE, PASTA, MITRE methodologies.

Findings from every connected cloud in one view, with severities that came from the source and an explicit band for the ones that arrived without any.

Watch it run — connected accounts to triaged findings

Stage 1 of 4
aribot · Violations
OverviewViolationsResourcesPoliciesHistory

Critical

—

not measured yet

High

—

not measured yet

Medium & Low

—

not measured yet

Unrated

—

not measured yet

Findings

Nothing connected. An empty list here would mean nothing was looked at, not that nothing is wrong.

Useryou do this step

Connect accounts

GOES IN

Read-only access

COMES OUT

working…

ILLUSTRATIVE SEED DATA — NOT CUSTOMER DATA

3 accounts

Run log
t+0.0s [User] Connect accounts
working on: Read-only access

Who this is for

A security engineer on triage duty

When it comes up

Findings arrive from three clouds with different severity vocabularies, and some arrive with no severity at all.

What changes

Unrated findings sit in their own band rather than defaulting to low, so nothing is quietly deprioritised by a missing field.

A team lead assigning work

When it comes up

Everything is 'high' by Monday because whoever imported the feed mapped unknowns upward.

What changes

Severity totals state they cover only rated findings, and each assignment records who set it and why.

An auditor sampling evidence

When it comes up

A tidy count of criticals invites the question of what was excluded to make it tidy.

What changes

The count of findings with no supplied severity is shown beside the rated ones.

Sample data, not customer results
0

Total Violations

Across all clouds

0

Critical Severity

Require immediate action

0

Fix Available

Applied after approval

0

Resolved This Week

Auto + Manual fixes

CRITICALAZUREFix after approval

Disable automounting API credentials

Container service has API credentials auto-mounted, creating privilege escalation risk

aks-cluster-prod/kube-proxy1/30/2026
CRITICALAZUREFix after approval

Do not allow containers to run as privileged

Container running with privileged flag enabled, bypassing security boundaries

aks-cluster-prod/nginx-ingress1/30/2026
CRITICALAZUREFix after approval

Enforce container CPU and memory limits

Container without resource limits can cause denial of service through resource exhaustion

aks-cluster-staging/api-gateway1/30/2026
CRITICALGCP

Pod exposes many ports without authentication

Multiple sensitive ports exposed allowing unauthenticated network access

gke-prod-cluster/payment-service1/30/2026
HIGHAWSFix after approval

Encryption at rest not enabled

Database backup storage lacks encryption, exposing sensitive data

eks-prod/database-backup1/29/2026
HIGHAZUREFix after approval

Redis exposed to public internet

Redis cache instance accessible from public IP addresses without firewall rules

aks-cluster-prod/redis-cache1/29/2026
MEDIUMGCP

Service account has excessive permissions

Monitoring service using overly broad IAM permissions beyond its requirements

gke-staging/monitoring-agent1/28/2026
MEDIUMAWSFix after approval

Log retention period too short

Security logs retained for only 7 days, below compliance requirements of 90 days

eks-dev/logging-service1/28/2026

Illustrative figures — not customer data

2,847
Threats Detected
example figure
< 2min
Response Time
example figure
$127K
Cost Savings
example figure

Join 1,200+ teams protecting their infrastructure with Aribot

Why teams use this

Use cases and case studies

Use case

Triage multi-cloud findings without losing the unrated ones

Findings from every connected cloud in one list, with severities from the source and a separate band for findings that arrived with none.

All use cases and case studies