Most teams know what is exposed in their cloud, but struggle to answer a simple question: where are our workloads and AI agents actually connecting out to?
CloudFence learns how each workload and AI agent normally communicates, then catches deviations, especially connections to new or unexpected destinations outside your cloud. All without deploying anything or changing how traffic flows.
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Step #1
CloudFence connects to your existing cloud network, DNS and identity logs through a read-only access - without changing how your traffic flows.
Step #2
CloudFence turns your massive raw logs into a small visual behavioral footprint for each workload: who it communicates with, where it connects, the path it takes, and what its identity normally does.
Step #3
New destination. New communication path. New IAM action. CloudFence detects each change against what's normal for that workload in your environment.
CloudFence evaluates changes against the context around them: whether it appears across other workloads, the workload's history, and related network and identity activity, to surface only the changes that deserve attention.
Real findings from real cloud environments
Most security programs and tools focus on preventing attackers from getting in. But once a workload is compromised, outbound traffic is what enables the next stages of an attack.
A compromised software package introduced through a supply chain attack may establish command-and-control (C2) communication, download malicious payloads, or exfiltrate sensitive data.
Unrestricted egress gives attackers freedom to operate. Monitoring outbound traffic helps detect command-and-control beaconing, unusual destinations, and suspicious data transfers. Restricting unnecessary outbound access can disrupt attacks and limit their impact.
CloudFence builds a visual map of how every workload communicates, not just a list of findings.
Beyond what’s malicious, CloudFence catches violations against behavioral guardrails you can define, like staging reaching prod, or S3 traffic bypassing its VPC endpoint, from the logs you already have.
With CloudFence, logs become a visual versioned behavior footprint, so you can see behavior and how it changed over time instead of reading lines of network and identity logs.
CloudFence does day-over-day comparison of behavior and flags suspicious changes, with no detection rules to write.
CSPM and CNAPP tools focus on misconfigurations and security posture, particularly what's exposed to the outside world.
CloudFence focuses on actual workload and identity behavior. It learns normal communication patterns from network and identity logs, builds behavioral baselines, and flags suspicious deviations in real time — especially in outbound traffic leaving your cloud.
CloudFence fills the gap left by posture tools by detecting suspicious behavior that static configuration checks miss.
CloudFence charges a flat yearly fee, based on the number of workloads with active interfaces generating traffic. This model provides cost predictability, eliminates surprises, and scales with your actual environment. Integration and hosting are fully managed, and we offer unlimited seats for your security and operations teams.
CloudFence can integrate with your cloud controls (like security groups, firewalls ) to automate response actions or trigger blocking through your existing infrastructure.
Move beyond static rules and legacy network appliances in the cloud. Visualize workload communications, control egress traffic, detect behavioral deviations, and remove unused access - all natively from your cloud logs
