Cloud Vulnerability Scanning
Automated CVE detection across containers, base images, OS packages, cloud configs, and network exposures. Prioritized by severity and exploitability.
Cloud Security · AI SRE Automation
AI-Powered
Cloud Security &
SRE Automation
Cloud Sentinel Technologies helps businesses detect vulnerabilities, monitor logs, optimize Kubernetes costs, and automate incident remediation across modern cloud environments.
400+
CVEs detected per quarter
$2.3M
cloud waste identified
99.97%
uptime maintained
Why engineering teams trust Cloud Sentinel
We operate across AWS, Azure, Kubernetes, and hybrid environments — handling the security and reliability work that pulls your team away from building.
Detect vulnerabilities before attackers do
Continuous CVE scanning and security posture review across containers, cloud configs, and IAM policies.
Monitor logs and security events continuously
Real-time log ingestion, anomaly detection, and alert triage — no event goes unreviewed.
Reduce Kubernetes and cloud waste
AI-driven analysis of workload utilization, idle resources, and rightsizing opportunities.
Automate SRE remediation with AI
From incident detection to root cause to resolution — AI operators that act, not just alert.
ServicesEverything your cloud security
Everything your cloud security
program needs, delivered
From vulnerability detection to autonomous remediation — Cloud Sentinel covers the full lifecycle across your AWS, Azure, and Kubernetes environments.
Managed Log Monitoring
24/7 ingestion, parsing, and triage of CloudWatch, Kubernetes, application, and security logs. Alerts that mean something.
Kubernetes Cost Optimization
Workload rightsizing, idle node detection, autoscaling configuration, and persistent volume audits. Reduce your cloud bill without touching uptime.
AI SRE Auto-Remediation
When incidents fire, our AI SRE operator analyzes signals, identifies root cause, and executes remediation playbooks — often before your team gets paged.
Cloud Security Posture Review
Full-spectrum review of IAM policies, network security groups, storage ACLs, and compliance posture across AWS, Azure, and Kubernetes clusters.
Monthly Reporting & Advisory
A board-ready security and reliability report every month: risk trends, cost savings realized, incidents handled, and actionable recommendations.
Open Source Tools
Purpose-built tools, not duct tape
Each tool was built to solve a specific, real problem. They are open source, production-tested, and form the backbone of our managed service.
Open Source
k8s-ai-cost-optimizer
Kubernetes cost intelligence engine
Analyzes workload resource requests, limits, and utilization patterns across your cluster to surface rightsizing recommendations and eliminate cloud waste.
- Resource utilization analysis across all namespaces
- Rightsizing recommendations with confidence scoring
- Idle node pool and PVC detection
- Cost projection and savings tracking
- Cloud cost visibility across EKS and AKS
$ k8s-cost-optimizer analyze --namespace=prod
Scanning 47 workloads...
api-server 2.0 CPU req → 0.4 actual (-80%)
worker-pool 8Gi mem req → 1.2Gi actual
idle-nodes 3 nodes unscheduled → $1,240/mo
Savings identified: $3,180/month
Open Source
ai-sre-auto-remediator
AI-driven incident remediation assistant
Ingests alerts, logs, and system signals to analyze incidents, identify root cause, and execute remediation workflows — from PagerDuty to kubectl in one loop.
- Multi-source incident signal correlation
- Root cause analysis with confidence scoring
- Runbook automation and playbook execution
- Alert enrichment and deduplication
- Slack and PagerDuty integration
$ ai-remediator watch --severity=critical
[INCIDENT] payment-svc CrashLoopBackOff
Analyzing logs + metrics + events...
Root cause: OOMKilled — limit 256Mi too low
Applying fix: memory limit → 512Mi
✓ Pod recovered in 14s. Incident closed.
Open Source
ai-k8s-sre-operator
Kubernetes-native AI reliability operator
A Kubernetes operator that watches cluster signals and runs AI-powered reliability operations natively inside your cluster — no external dependencies required.
- Native Kubernetes operator pattern (CRDs)
- Cluster health signal monitoring
- AI-based remediation recommendations
- Automated reliability actions via controller loop
- SRE workflow and escalation integration
$ kubectl get sre-operator -n sentinel
NAME READY WATCHING UPTIME
sre-operator True 47 pods 12d
[WATCH ] Anomaly: HPA not scaling db-pool
Analyzing HPA config vs metric server...
✓ HPA target corrected. Scaling resumed.
How It Works
Operational in days, not months
01
Connect
Integrate with your AWS, Azure, or Kubernetes environment via read-only API access or our lightweight agent. No infrastructure changes required.
02
Scan
We continuously scan workloads, IAM policies, network configs, container images, and logs across your entire cloud footprint.
03
Detect
Vulnerabilities, cost waste, misconfigurations, and incidents are surfaced, prioritized, and enriched with context — not just raw alerts.
04
Remediate & Report
AI-generated fix recommendations, automated remediation actions, and a monthly report with trend data, savings realized, and next steps.
Managed Service
Managed Cloud Security & SRE Monitoring
A dedicated security and reliability program — not a tool subscription. We operate as an extension of your team.
Monthly Retainer
$2,000/ month
Enterprise-grade program
Every engagement is a managed security and reliability program — not automated scans sent to an inbox. A senior engineer reviews your environment monthly and is available for advisory questions.
Continuous vulnerability scanning (CVE + config drift)
Security log monitoring and alert review
Cloud security posture assessment — AWS & Azure
Kubernetes workload and cost review
AI-powered SRE remediation recommendations
Monthly security & reliability report
Executive summary for engineering leadership
On-demand advisory and Q&A support
Custom scoping available for larger environments or additional cloud accounts.
Tech Stack
We operate where your team operates
Cloud Platforms
AWSAzureGCP
Containers & Orchestration
KubernetesEKSAKSDockerHelm
Infrastructure
TerraformLinuxGitHub ActionsAnsible
Observability
PrometheusGrafanaCloudWatchDatadogLoki
Security
SIEMOpenSCAPTrivyFalcoOPA
AI & Automation
OpenAILangChainPythonGoSRE Automation
AboutBuilt by engineers
Built by engineers
who've been on-call
Cloud Sentinel Technologies was built by cloud and DevOps engineers with hands-on experience managing production cloud platforms, Kubernetes environments, security monitoring, infrastructure automation, and reliability operations.
We've been the ones woken up at 2 AM by a Kubernetes OOM event, chased IAM policy drift through audit logs, and rebuilt security postures from scratch after incidents. We combine that practical SRE experience with AI-driven automation to help businesses improve security, reliability, and cost efficiency without building a large internal team.
Our work is measurable: vulnerabilities detected, incidents resolved, cloud spend reduced. We show our work every month.
6+
Years in cloud & SRE operations
50+
Production environments managed
3
Open source tools in production
ContactRequest a Cloud
Request a Cloud
Security Review
Tell us about your environment and what you're trying to improve. We'll review your setup and come back with a practical assessment — no pitch deck, no vague recommendations.
Response within 1 business day
No obligation, no sales pressure
Free initial infrastructure review summary