Layer 01
Runtime Exploitability
Evidence from executed code paths, loaded libraries, and process behavior reveals which vulnerabilities are practically reachable — not just theoretically present.
Platform
Runtime security. Production reality.
Primod maps what actually executes in your production environment — so every patch decision is backed by evidence, not guesswork.
01
Runtime Vulnerabilities Dashboard
Stop triaging everything. Fix what's actually running.
Most vulnerability scanners hand you a list and walk away. Primod shows you what's actually executing in production — collapsing hundreds of packages down to the handful of functions that are live, reachable, and worth your team's time.
The severity breakdown, detection timeline, and CVE groupings give engineering the full picture in a single view — so your team spends time on real risk instead of chasing false positives.
app.primod.io / kubernetes / vulnerabilities
13 Live FindingsCritical
02
Cluster Topology View
See exactly where threats live inside your cluster.
When a threat is detected, you need to know exactly which workloads are affected — not after a manual audit, but immediately. Primod maps every node, namespace, pod, and container in your cluster and overlays live threat signals directly onto the topology, so you can understand blast radius at a glance and act before it spreads.
Live threat overlays — executed CVEs shown directly on affected pods
Node → namespace → pod → container drill-down hierarchy
Side panel with CVE list, severity, and timestamps per resource
Export cluster dump for offline forensic analysis
app.primod.io / kubernetes / topology
5 threats · liveLive
app.primod.io / runtime / investigate
03
CVE Investigation
Not just a finding — the full story of how it triggered.
When Primod detects a live vulnerability, you don't get a CVE ID and a score. You get the complete execution record — the exact function that triggered, the full call stack leading up to it, the binary it ran from, the container it lived in, and the HTTP request that set it off.
Primod also tells you exactly how to fix it. The affected import path links directly to the upstream GitHub repository, the fixed version is surfaced inline, and the vulnerability impact is explained in plain language — so your engineer can open a PR without ever leaving the investigation screen.
No log digging. No cross-referencing five tools. No guessing which binary to patch. Every piece of context — from the triggering HTTP request down to the fix commit — in one place.
Full call stack trace — from entry point down to the vulnerable function
TRIGGER frame highlighted — exactly where execution hit the vulnerability
Node, pod, container, namespace, binary, and import path — all linked
Upstream GitHub reference and fixed version surfaced directly in the panel
Incoming HTTP request captured with method, path, and response code
Vulnerability impact explained in plain language with fix availability inline
04
Cloud Security Score
Your entire cloud posture, scored and explained.
Security posture shouldn't require cross-referencing five dashboards across five providers. Primod distills your entire cloud configuration into a single score — broken down by provider, service, and control — so leadership and engineering share the same picture and can track improvement over time without building their own reports.
app.primod.io / cloud-security-score
Score 52/100Live
05
Findings Overview
Every finding, mapped to its control.
Misconfigurations across cloud providers accumulate fast and stay invisible until something breaks. Primod surfaces every finding in one unified table — mapped to its standard, its resource, and the steps to fix it — so your team can move from discovery to remediation without switching tools or writing queries.
Cross-provider view: AWS, Azure, GCP, Kubernetes in one table
Filter by severity, standard, region, and resource name
Linked to CIS Benchmark control IDs
app.primod.io / findings
4,924 findingsLive
Live Runtime Engine
Every container scanned.
Only real threats surface.
Primod's eBPF sensor intercepts every syscall as workloads run. CVEs are matched against live execution paths — containers that never trigger the vulnerable function are automatically cleared.
eBPF sensor active — intercepting syscalls…
How It Works
Three layers of runtime intelligence.
Layer 02
Context Fusion
Workload metadata, cloud configuration, and service lineage merge into one risk narrative that engineering can action quickly without switching tools.
Layer 03
Operational Throughput
Security guidance maps directly to deployment teams and affected services, reducing triage drag, patch churn, and cross-team coordination overhead.
Architecture Snapshot
How the stack is assembled.
01
eBPF Sensor Layer
Kernel-level probes capture runtime execution, process lineage, syscall behavior, and network interactions with sub-1% production overhead.
02
Correlation Engine
CVEs are mapped to reachable code paths and service dependencies. Cloud configuration and blast radius context is fused into a single confidence score.
03
Call Stack Tracing
Full execution context for every triggered vulnerability — from the entry point down to the vulnerable function. No guesswork, just evidence.
04
Audit Evidence Chain
Every remediation decision is backed by traceable runtime observation — ready for SOC 2, audit review, and post-incident analysis.
Ready to go deeper?