Your RSA-2048 keys break in 2030. Find every one of them before attackers do.
Platform

Every attack layer. One platform.

O3 is embedded at every layer of your stack — IDE, PR, CI/CD, image, runtime, compliance — feeding a single Security Graph that traces the full attack chain, not isolated alerts.

O3 Security Graph — every layer connected
Blocked
Detected
Threat
95%reduction in alert noise
<10 minto first triaged finding
6 layersIDE → PR → CI → image → runtime → compliance
1 graphunified attack-chain view
Security Graph

Every finding connected. No context lost.

Most security tools generate alert queues. O3 builds a graph. Every vulnerability, dependency, CI run, image scan, and runtime event is a node. Edges represent causality — which finding led to which risk at which stage.

When an attacker compromises a CI runner after injecting a malicious package that slipped past a PR scan, O3 shows you the full chain — not three separate tickets in three separate dashboards.

See an attack chain walkthrough
01
Signal ingested
Every SAST finding, SCA alert, CI event, image scan result, and runtime anomaly flows into the graph.
02
Causality mapped
O3 links related signals across layers — a PR finding is connected to the CI build that used that code and the image shipped from it.
03
Attack chain surfaced
Instead of 40,000 CVE alerts, you see the 3 chains that represent real, exploitable risk — with full context from code to production.
04
Fix or block
O3 opens a PR with a fix, blocks a deployment, or suppresses the noise — depending on what's actually reachable.

See your full attack surface. Today.

Most teams see their first triaged attack chain within 24 hours of connecting a repo. No professional services. No six-month onboarding.

Book a demo
FAQ

Questions,
answered.

Everything teams ask before rolling this out. Still stuck? Reach our team.

  • O3 is one platform that covers code (SAST, SCA, secrets, IDE protection), build pipelines (GitHub Actions, Jenkins, IaC, image scanning), runtime (eBPF, Kubernetes, workload, egress), and compliance (SBOM, CBOM, AIBOM, HBOM, QBOM). The difference from a stack of single-purpose tools is the security graph: every finding from every layer is connected to the code that introduced it and the runtime it affects. That graph is what lets agents distinguish a reachable critical from a noisy alert.
  • A typical scanner reports every CVE in your dependency tree. The graph reports only the CVEs that are reachable from your code and actually exposed in your runtime. For most teams that drops 40,000 findings to a few hundred. The cuts happen at three places: dependency reachability (does your code path touch the vulnerable function), runtime exposure (is the vulnerable component actually loaded in production), and authentication context (is the path reachable by an unauthenticated request).
  • The platform has specialist agents that take a finding from the graph and act on it. The SAST agent verifies reachability and writes the patch. The triage agent investigates a runtime alert by correlating eBPF events with the build graph. The compliance agent generates the BOM artifact regulators ask for. Agents read from the graph and write back to it, so every action improves what the next agent sees.
  • Both deployment models are common. Teams looking to consolidate replace their SAST plus SCA plus SBOM plus runtime tool with O3 over a single quarter. Teams that already have Wiz or Snyk in production keep them and use O3 for the reachability layer and the BOM artifacts those tools do not produce. The platform exposes its findings through an API so other tools can consume the graph data.
  • For a single team and repository, first findings within a day. For an organization with hundreds of repositories, full code and pipeline coverage in two to four weeks depending on CI complexity. Runtime coverage in eBPF takes longer because it requires a node-level rollout, typically four to eight weeks. Compliance artifacts can be generated on day one against your existing repositories without any other component deployed.
  • No. The platform supports a fully self-hosted deployment that runs in your VPC or on-premises. The agents, the graph, and the BOM generation all run locally. Customers in BFSI, defense, and critical infrastructure typically deploy this way. For SaaS deployment we offer India-region or US-region hosting depending on data residency requirements.