CloudFence is a cloud detection and response (CDR) software that uses network and identity logs to establish behavioral baselines for every workload, enabling security teams to detect and respond to suspicious activities in real time. It transforms native cloud logs—such as AWS VPC Flow Logs, Azure NSG flow logs, CloudTrail, and Route53 DNS logs—into actionable threat intelligence, without requiring agents. By continuously analyzing communication patterns, data flows, and identity behaviors, CloudFence identifies anomalies indicative of data exfiltration, lateral movement, and other threats. Its features include real-time visibility into cloud architecture, automated security group hardening to eliminate overly permissive rules, and visual mapping of asset relationships. CloudFence differentiates itself from CSPM and SIEM solutions by focusing on behavioral detection rather than misconfigurations, providing per-workload baselines automatically. The platform is designed for cloud-first security teams seeking to close blind spots, reduce troubleshooting time, and enforce least privilege access. With CloudFence, organizations gain proactive protection and a clearer understanding of their cloud infrastructure, ultimately minimizing exposure and strengthening their security posture. AiDOOS enhances deployment and adoption by providing streamlined integration, automated workflows, and expert support, ensuring that CloudFence’s capabilities are leveraged effectively within an organization’s existing security stack.
Challenges It Solves
Limited visibility into cloud network traffic
Delayed detection of suspicious activities and threats
Overly permissive security groups leading to lateral movement risks
Complexity in managing network and identity security across cloud environments
Use Cases
Security Group Hardening
Leverages VPC Flow Logs to find and remove overly open security group rules, reducing lateral movement risk.
Suspicious Outbound Communications Detection
Monitors egress traffic to detect and control suspicious outbound communications, preventing data exfiltration.
Workload Identity Monitoring
Analyzes network and identity logs to detect anomalous behavior of non-human identities.
Pricing
Custom pricing — built for your team
CloudFence pricing is tailored to your organisation's size, integrations, and requirements. AiDOOS generates your proposal instantly — scoped & ready in seconds.
💡 Pricing insight from reviewers: CloudFence charges a flat yearly fee based on the number of workloads with active interfaces generating traffic.
Key Features
Behavioral Baseline Detection
CloudFence learns normal patterns for every workload to detect deviations in real time.
Real-Time Threat Detection
Identifies anomalies and potential threats across network and identity logs as they occur.
Egress Traffic Monitoring and Control
Monitors and controls outbound traffic to prevent data exfiltration.
Automated Security Group Hardening
Automatically identifies and removes unused or overly permissive security group rules.
Visual Cloud Architecture Mapping
Provides clear visualization of relationships and communications between cloud assets.
Agentless Deployment
Uses native cloud logs (VPC Flow, CloudTrail, DNS) for quick and easy deployment.
What Reviewers Say
What works well
Real-time visibility into cloud network traffic
Behavioral baselines for every workload without manual tuning
Automated detection of suspicious activities
Reduces troubleshooting times and exposure
Common concerns
Limited public pricing transparency
No self-service free trial available
Requires dedicated network/identity security expertise for full utilization
Reviews
None
★★★☆☆
out of 5
By segment
Mid-Market100%
I
IT Infrastructure Supervisor
"Immediate Oversight and User-Friendly Security Tools from CloudFence"
CloudFence offers outstanding live monitoring of our network operations, simplifying comprehension of what's occurring across our cloud setup at any instant. The anomaly detection capability has proven especially useful, successfully flagging irregular patterns early so we can resolve issues before they grow. The IAM assessment is another highlight, delivering precise insights into permissions and usage trends that have bolstered our security framework. What truly impresses me is that all these features are housed within a genuinely intuitive interface, enabling us to adopt the tool quickly without much training. The lack of a dark theme in the interface remains a minor drawback. CloudFence is filling the monitoring void we had in our cloud architecture. Previously, detecting suspicious actions or unauthorized entry meant gathering logs from various sources, which was time-intensive and prone to oversight. Now we benefit from a unified, live view of network activity, with threats and irregularities highlighted immediately as they occur. The IAM analysis has also aided in reducing excessive permissions and tightening access policies, thereby shrinking our exposure. Overall, this has shortened our incident investigation times and significantly boosted our assurance in our cloud security.
D
Director, DevSecOps
"Distinctive Cloud Insight Featuring Intelligent Model Baselines and Identity-Focused Security"
CloudFence addresses an uncommon need within the cloud sector. Historically, achieving genuine transparency into the cloud network and hypervisor tiers has posed significant challenges. This platform not only offers comprehensive visibility in those domains but also employs conventional AI/ML techniques—rather than LLMs—to set configuration standards and identify deviations in network activity patterns. Additionally, they incorporate identity management features for cloud settings that are especially pertinent in today's AI-driven landscape. The result is a combination of monitoring, notifications, and governance at the point where user permissions intersect with actual network access. I find nothing to criticize. As an early-stage company, some advanced capabilities are still being refined. However, they actively listen to user input, integrate suggestions into their product plan, and execute updates promptly. CloudFence provides complete oversight of inbound, outbound, cross-VPC, and intra-VPC traffic, enriched with metrics like data flow sizes, source and destination trust scores, and new endpoints, offering a much-needed depth of cloud network monitoring and alerts.
Enterprise Readiness
Identity & Access
SSO✗ Not supported
RBAC✗
Audit Logs✗
Data Security
At restAES-256
In transitTLS 1.2+
Key mgmtVendor-managed
SLA & Availability
Uptime SLA99.9%
RPO—
RTO—
Pen test—
Compliance & Portability
Data residency—
Data export
Right to erasure✗
Integrations
AW
AWS
Ingests AWS VPC Flow Logs, CloudTrail, and Route53 DNS logs for agentless security monitoring.
Native< 1 hour⚡ AiDOOS Pre-wired
AZ
Microsoft Azure
Ingests Azure NSG flow logs and other native logs for network security analysis.
Native< 1 hour⚡ AiDOOS Pre-wired
GC
Google Cloud
Supports Google Cloud via VPC Flow Logs and other native logs (inferred from cross-cloud monitoring claims).
Third_Party< 1 hour
VF
Amazon VPC Flow Logs
Primary log source for AWS, used for traffic analysis and anomaly detection.
Native< 1 hour⚡ AiDOOS Pre-wired
CT
AWS CloudTrail
Ingests API activity logs for identity and workload behavior analysis.
Native< 1 hour
R5
Amazon Route53 DNS Logs
DNS query logs used to detect anomalies and data exfiltration attempts.
Native< 1 hour
NS
Azure NSG Flow Logs
Network security group flow logs for Azure, used for security group hardening and traffic analysis.
Native< 1 hour
OK
Okta
Integration for identity behavior analytics, correlating with network activity for non-human identity security.
Third_Party2-4 hours
Governance & Compliance
EU AI Act
No data available
Data Processing Agreement
No data available
Sub-processors
No data available
Right to Erasure
No data available
Change Notifications
No data available
NIST AI RMF
No data available
AiDOOS Managed Deployment
Deploy CloudFence in 72 hours
AiDOOS handles setup, CRM integration, SSO config, and user provisioning. Your team goes live — not your IT department.
12
Deployments
94%
Adoption rate
4.8/5
Post-deploy sat.
2-4 weeks
Time to value
Prerequisites
Cloud account with read access to VPC Flow Logs or equivalent
API credentials for AWS or Azure
Network visibility enabled for workloads
Configuration Options
Connect AWS or Azure accounts
Define workload baselines and thresholds
Set up alerting and response workflows
How CloudFence Compares
Product
AI & Analytics
Ease of Use
Enterprise Features
Pricing
Integrations
Mobile Experience
Quick Setup
Customer Support
Rating
Price/mo
C
CloudFence This product
Excellent
Good
Good
Good
Fair
Fair
Good
Good
—
$Custom/user
CS
CrowdStrike
Excellent
Good
Excellent
Fair
Excellent
Good
Good
Excellent
—
$Custom/user
PA
Palo Alto Networks Prisma Cloud
Good
Fair
Excellent
Fair
Excellent
Fair
Good
Good
—
$Custom/user
AH
AWS Security Hub
Good
Good
Good
Good
Excellent
Fair
Excellent
Good
—
$Custom/user
Virtual Delivery Center · A new delivery category
A Virtual Delivery Center for
CloudFence
Pre-vetted experts and AI agents in the loop, assembled as a delivery
pod. Pay in Delivery Units — universal pricing across roles,
seniority, and tech stacks. No hiring, no contracting, no procurement
cycle.
Plans from $2,000 — Starter Pack, 10 Delivery Units, 90 days
Refundable on unused Delivery Units, anytime — no questions asked
Re-delivery guarantee on acceptance miss
Pre-flight delivery sizing — you see the plan before you commit
CloudFence focuses on behavioral detection rather than misconfigurations and posture. It learns normal patterns for every workload by looking at network and identity logs and detects suspicious deviations in real time.
How is CloudFence different from a SIEM?
Unlike SIEMs that require manual rules and tuning, CloudFence analyzes network and identity behavior and builds per-workload baselines automatically.
Can CloudFence block traffic?
CloudFence provides detection and visibility. You can automate response actions and trigger blocking through your existing infrastructure.
How is pricing structured?
CloudFence uses a flat yearly fee based on the number of workloads with active interfaces generating traffic, providing cost predictability with unlimited seats.
How long does it take to detect a deviation?
CloudFence begins analyzing communications and activities as soon as logs are connected. Deviations are detected in real time, typically within hours to a few days.