Understand what’s normal in your cloud, so you can act fast when it’s not

Q: What is the challenge with detecting normal behavior in cloud environments?

In today's noisy cloud environments, thousands of workloads and identities generate massive volumes of VPC Flow Logs, CloudTrail, and Azure NSG Flow Logs that are impossible to reason about manually. Static scans find bad configs but miss runtime behavior, and most tools alert on generic patterns rather than what is normal for a specific workload, account, or identity.

Q: How does CloudFence detect behavior deviations?

CloudFence provides real-time behavior intelligence for early anomaly detection. When workloads or identities show anomalous behavior, it flags it instantly so you can see exactly what unusual activity occurred, how it deviates from normal, and why it's a risk. It builds behavioral baselines for every workload and identity and detects deviations in real time.

Q: What are the benefits of continuous behavioral monitoring?

Continuous behavioral monitoring adapts to your evolving cloud environment, allowing you to always see changes in context and resolve incidents faster instead of sifting through raw logs and manual detection rules. It provides contextual, per-asset insights and reduces investigation time significantly.

Build behavioral baselines for every workload and identity, detect deviations in real time, and investigate in minutes instead of sifting through raw logs.

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challenge

In today's noisy cloud environments, it's hard to answer a simple question: "Is this behavior normal?”

Exploding signal surface

Thousands of workloads and identities generate massive volumes of VPC Flow Logs, CloudTrail, and Azure NSG Flow Logs that are impossible to reason about manually.

Static scans find bad configs but miss runtime behavior

static scans don’t capture how entities actually behave over time, risky changes and lateral movement often go unnoticed until too late.

No per-asset baseline. Most tools alert on generic patterns

Most tools alert on generic patterns, not on what is normal for a specific workload, account, or identity, leading to noisy alerts and blind spots.

solution

Beyond Static Scans: Real-Time Behavior Intelligence for Early Anomaly Detection

CloudFence continuously analyzes network communications and identities activities across your cloud workloads to build dynamic baselines of normal behavior for every asset. We ingest native cloud native logs like AWS VPC Flow Logs, CloudTrail, and Azure NSG Flow Logs to understand typical communication patterns, access paths, and privileges over time.
When workloads or identities show anomalous behavior, we flag it instantly—so you can see exactly what unusual activity occurred, how it deviates from normal, and why it's a risk.

Early detection of suspicious behavior deviations

Spot anomalous east-west traffic, new external connections, suspicious identity activities, ...etc while reducing investigation time through contextual, per-asset insights instead of raw logs.