Aikido

Maintains a registry of all applications in scope, their associated scan coverage, and their AppSec tool assignments, surfaces applications with no active scanning.

Ingests, deduplicates and normalizes signals from security tools across DevSecOps pipelines and runtime environments (SAST, DAST, SCA, container scanning, secrets scanning, runtime and cloud telemetry) into a single finding model with a consistent severity scale across sources.

Maps aggregated AppSec findings and scan coverage to regulatory and framework controls (PCI DSS Requirement 6, ISO 27001 Annex A.8.28, SOC 2), and generates audit-ready evidence and compliance reports across the application portfolio.

Groups findings from multiple tools that refer to the same underlying vulnerability in the same code location, presenting one actionable finding instead of multiple redundant alerts.

Pushes prioritized findings to developer ticketing (Jira, GitHub Issues, Linear), and IDEs with remediation context, removing the security team from the routing path.

Scores aggregated findings using multiple contextual factors (exploitability, reachability, internet exposure, threat intelligence, and business criticality) rather than individual tool severity ratings, producing a single actionable priority queue across all AppSec signals.

Acts as the application security control plane: evaluates all applications against organization-wide policies, risk thresholds and remediation expectations, then automates enforcement through build gates, release blocks and escalation rather than only flagging non-compliant applications.

Links each finding to the specific code, component, or pipeline that introduced it and traces it from source through build to the deployed runtime, so teams can fix the underlying cause and see which projects contribute the most risk.

Scores dependency vulnerabilities by whether the vulnerable function is reachable in the actual application execution path, not just present in the dependency tree, reducing the actionable finding list to confirmed code-level exposures.

Integrates and triggers AppSec scanners across the pipeline, controlling which tests run at each stage (pull request, build, release) according to organizational policy rather than leaving each tool to run on its own schedule.

Classifies aggregated findings with an AI model as real vulnerability, likely false positive, or needs review, and assigns a remediation urgency, so the priority queue is filtered by verdict rather than by tool severity alone.

Scans infrastructure-as-code definitions across Terraform, CloudFormation, ARM and Bicep, Pulumi, Kubernetes YAML and Helm charts against security and compliance policies before deployment, so misconfigurations are caught in code rather than in production. Framework coverage and check depth per framework vary across products.

Integrates as a productized step in CI/CD pipelines and stops or fails a build when infrastructure-as-code findings exceed a policy-defined risk threshold, with severity thresholds and documented exceptions, so insecure infrastructure cannot reach deployment.

Lets teams author and version their own infrastructure-as-code policies in a policy language such as Open Policy Agent Rego or a vendor rules format, alongside prebuilt policy packs mapped to CIS and other benchmarks, so organization-specific guardrails are enforced with the same tooling as standard checks.

Surfaces infrastructure-as-code findings inside the developer's IDE and as inline pull-request comments with suggested fixes, so misconfigurations are corrected at authoring time rather than after a pipeline failure.