Aikido Security
Aikido Security is a developer-first platform for code, cloud, runtime, and pentest security workflows.
About Aikido Security
Aikido Security is a unified security platform for teams that want to find, prioritize, and fix risks across source code, dependencies, secrets, infrastructure-as-code, cloud resources, containers, virtual machines, APIs, web applications, and runtime traffic from one product. The official site positions it as security for everything developers build, ship, and run, with SCA, SAST, AI SAST, code quality, malware detection, SBOMs, CSPM, container and Kubernetes scanning, DAST, attack surface monitoring, AI pentesting, runtime protection, bot protection, device protection, AutoTriage, and AutoFix. It is strongest when engineering and security teams need a shared workflow: read-only repository access, CI and IDE integration, issue tracking, chat alerts, reports, API access, and pull requests that remain reviewable before merge. It is not a substitute for formal security ownership, human review, threat modeling, or compliance judgment. Teams with highly regulated environments should verify data handling, local scanning, on-prem options, pentest scope, and enterprise support before treating it as a central security control.
Best for
Best use cases
Connecting GitHub, GitLab, Bitbucket, cloud accounts, container registries, and CI pipelines so new code, dependencies, secrets, images, and infrastructure changes are scanned before release.
Preparing an audit or customer security review when the team needs SBOM exports, compliance reports, vulnerability status, and a pentest PDF that maps findings to remediation steps.
Reducing vulnerability backlog noise by deduplicating related alerts, using reachability and exploitability context, and turning confirmed issues into tickets or reviewable pull requests.
Rolling out AppSec across sprint delivery by routing findings into Jira, Slack, Teams, IDEs, PR checks, and CI before manual security triage becomes a bottleneck.
Checking a cloud-native application estate for misconfigurations, exposed attack paths, vulnerable containers, outdated VM packages, and risky infrastructure-as-code before a production launch.
Running an AI-assisted web application or API pentest before a major release, then using retesting and AutoFix context to verify whether fixes address validated findings.
Adding runtime protection when an application needs rate limiting, injection defense, bot controls, or zero-day blocking while the team still evaluates broader compensating controls.
Compare before choosing
Compare with Snyk when the primary decision is developer-first SCA and code security depth versus Aikido's broader code-to-cloud-to-runtime bundle and pricing structure.
Compare with Wiz or Orca Security when cloud posture management and cloud asset graph depth matter more than integrated source-code, CI, IDE, and pentest workflows.
Compare with GitHub Advanced Security or GitLab Ultimate when the team wants security tightly native to a code host instead of a cross-repository, cross-cloud security platform.
Compare with Semgrep, Checkmarx, or Veracode when SAST rule control, language coverage, enterprise policy governance, and formal secure code review processes are the main buying criteria.
Compare with a traditional penetration testing provider when the engagement requires human-led scope negotiation, non-web targets, highly contextual business logic review, or bespoke compliance evidence.
Features
Unified code security
Scan source code, dependencies, secrets, licenses, outdated software, infrastructure-as-code, code quality issues, and malware from one platform.
Risk-based triage
Use deduplication, reachability, exploitability, environment context, and AutoTriage to reduce noisy alert queues before developers take action.
AutoFix workflows
Generate reviewable pull requests for code, dependency, infrastructure, and container fixes while keeping developers in control of merges.
Cloud and container coverage
Check cloud misconfigurations, virtual machines, container images, Kubernetes, infrastructure-as-code, hardened images, and cloud asset context.
AI pentesting and DAST
Run AI-assisted offensive testing, DAST, attack surface monitoring, API scanning, continuous pentests, and audit-grade report workflows.
Runtime and device protection
Add runtime protection, bot controls, rate limiting, injection defense, endpoint protection, and package or extension blocking where the plan supports it.
Developer tool integrations
Connect code hosts, CI systems, IDEs, cloud providers, container registries, GRC tools, messengers, and task managers through the official integration catalog.
Public API and reporting
Use the public API for issues, clouds, repositories, SBOM exports, teams, containers, reports, compliance endpoints, pentests, tasks, and workspace data.
Pros
- Broad code-to-cloud-to-runtime coverage can replace several point tools for teams that want one AppSec queue.
- Free and paid public plans make entry easier than security products that require a sales call before evaluation.
- Developer workflow integrations, PR checks, IDE plugins, tickets, and chat alerts make findings more likely to reach the owners who can fix them.
- AutoTriage, reachability context, deduplication, and AutoFix can reduce alert fatigue when configured and reviewed carefully.
- Official docs describe read-only access, temporary scanning containers, local scanner options, SOC 2 Type 2, and ISO 27001:2022 certification.
Cons
- The breadth of modules means buyers must verify which scanners, limits, and advanced features are included in the exact plan they purchase.
- Public platform pricing shows amounts but uses currency and user-count controls, so checkout or sales confirmation is still needed for budget approval.
- AI pentesting is useful for web and API coverage but should not replace human review for non-web targets, unusual business logic, or bespoke compliance evidence.
- AutoFix and runtime protection still require engineering review, testing, deployment controls, and rollback planning before production use.
- Highly regulated teams should review data residency, local scanning, on-prem deployment, stored AutoFix diffs, calltree retention, and contractual terms before adoption.
Pricing Plans
Developer
- SCA, SAST, AI SAST, and secrets detection
- Cloud entry point
- 10 repositories
- 1 domain and 1 cloud account
- 10 AI AutoFixes per month
- 250k protected requests per month
Basic
- Unlimited repositories with fair-usage limits
- 100 AI AutoFixes per month
- 10M protected requests per month
- Reports and analytics
- GRC sync such as Drata and Vanta
- Code quality, AI and bot protection, and device protection
Pro
- All Basic features
- On-prem scanning
- REST API fuzzing
- Virtual machine scanning
- Attack surface monitoring
- Custom rules and malware detection
- 400 AI AutoFixes per month
- 20M protected requests per month
Advanced
- All Pro features
- Extended life for popular libraries
- Broker for internal apps
- Unlimited cloud rules
- 1,000 AI AutoFixes per month
- 50M protected requests per month
- Higher plan limits for larger organizations
Enterprise
- Enterprise-grade modules
- Custom SLA
- Multi-tenant portal
- Training and onboarding
- Enterprise support
- Local or on-prem deployment
- Broker for internal apps
Pentest options
- Standard fixed-scope pentest
- Rightsized scope-based pentest
- Continuous testing option
- Audit-grade PDF report
- Retesting and remediation guidance
- AI-assisted web application and API testing
* Pricing information is for reference only. Please refer to the latest announcement on Aikido Security's official website.