RF Profiler

Runtime Execution Intelligence

RF Profiler converts real workload behavior into runtime evidence that teams can use immediately.

Runtime Bill of Material (RBOM)

A continuously updated record of components actually executed in production.

Execution Path Visibility

Distinguishes active code paths from dormant layers to reduce noise in vulnerability triage.

Baseline and Drift Monitoring

Establishes expected runtime behavior and flags deviations that require attention.

Minimal Operational Overhead

Designed for continuous profiling while keeping overhead under 1%.

From Runtime Evidence to Measurable Risk Reduction

Exploitability-Based Vulnerability Prioritization

Identify CVEs in executed components to focus on real, reachable security risks.

Drift and Anomaly Detection

Detect unauthorized binaries, configuration changes, or unexpected behavior across clusters.

Hardening and Attack Surface Reduction

Provide execution truth needed to safely remove unused components without service disruption.

Measurable Impact in Production Environments

95% CVE reduction

Achieved by eliminating vulnerabilities in non-executed components.

90% attack surface reduction

Driven by safe removal of unused binaries and libraries.

Faster incident scoping

RBOM data shows exactly where vulnerable code is running.

Less operational friction

Continuous profiling with under 1% overhead and no workload disruption.

See What Actually Runs. Secure What Actually Matters.

RF Profiler provides security and platform teams with the runtime clarity needed to reduce risk and harden containers with confidence.

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Runtime Observation That Drives Accurate Security Decisions

Step 1

Deploy Easily

Install via Helm with no agents, restarts, or pod mutations.

Step 2

Capture Runtime Behavior

Profiler monitors active binaries, libraries, and execution paths across running workloads.

Step 3

Generate RBOM™ Automatically

Outputs a runtime-validated inventory that filters out non-executed, non-exploitable components.

Step 4

Enable Targeted Hardening

RBOM™ data guides automated removal of unused components through RF Optimizer.

Where RF Profiler Delivers the Highest Impact

Exploitability-Based Vulnerability Prioritization

Identify CVEs in executed components to focus on real, reachable security risks.

Drift and Anomaly Detection

Detect unauthorized binaries, configuration changes, or unexpected behavior across clusters.

Hardening and Attack Surface Reduction

Provide execution truth needed to safely remove unused components without service disruption.

Runtime Validation That Delivers Quantifiable Risk Reduction

60-90%

Reduction in CVEs

After hardening with execution-aware data

<1%

Overhead

during cluster-wide runtime profiling

up to90%

Fewer irrelevant findings

versus static-only scanning

Zero

Code changes required

to enable runtime insight

Designed for Teams Responsible for Production Integrity

Platform Engineering

Ensure clusters run only approved and expected components.

Security Operations & Incident Response

Scope real exposure quickly by identifying vulnerable components actively in use.

DevSecOps & SRE Teams

Catch drift early and maintain consistent, hardened runtime environments.