Risk Graph
An open, graph-based risk engine ingests, correlates, deduplicates, and contextualizes findings from 1st and 3rd-party security tools, then overlays them on the customer’s software graph to assess and prioritize business-specific risks using built-in or custom policies.
Data Fabric
What makes Risk Graph unique?
By enriching findings with full code and runtime context, Risk Graph helps you fix the risks that actually matter — at the right place, at the right time.
Prioritize
Cut through the noise with a contextual prioritization funnel. Risk Graph surfaces likelihood and impact factors so you narrow in on real, business-critical risks — not just raw vulnerabilities.
Trace
Follow the risk exposure path across the development lifecycle — from code to container to cloud. Trace the root cause and runtime exposure of any finding to understand its true blast radius.
Remediate
Slash MTTR with context-aware remediation guidance. Risk Graph ties every risk to its owning team and developer, and triggers the right tickets, alerts, and workflows automatically.
How does Apiiro prioritize risk?
Risk Graph layers findings on top of your application inventory to contextualize them based on your architecture and environment — surfacing likelihood and impact factors from code and runtime context.
Risk likelihood factors
- Used and reachable in code
- Deployed or internet-exposed
- Behind API Gateway or WAF
- Exploitable vulnerability
- Valid secret
- Has associated API
Risk impact factors
- In active development
- Connected to PII
- Toxic combination
- Blast radius (shared code modules/repos/apps)
- In high business impact repo
- In OWASP Top 10, EPSS, KEV