One platform, calibrated to how your team actually works.

Platform engineering

Guardrails that don't become a queue.

Merge gates fire only on newly introduced, reachable risk. Everything else routes to a backlog with an owner, so pipelines stay green and security debt stays visible.

• Per-service policy inherited from your service catalog
• Terraform and Kubernetes drift detection on every apply
• Single consolidated pull request comment, never a wall of annotations

Application security

Coverage across 200 services with a team of four.

AI triage does the first pass on every finding, leaving your engineers with the ambiguous cases that genuinely need human judgment.

• Root-cause grouping across duplicated frameworks and forks
• Exploitability evidence you can hand to a skeptical developer
• Threat-model context carried forward release over release

Regulated industries

Continuous evidence instead of audit sprints.

Map findings to PCI DSS, HIPAA, SOC 2, and DORA controls automatically, with immutable remediation history and exportable evidence packs.

• Control-to-finding mapping maintained continuously
• Regional data residency in EU, US, and UK
• Immutable audit log of every status and severity change

AI-native product teams

Security for the code your models write.

Baykus scans AI-generated pull requests with stricter policy, and covers the new surface: prompt injection paths, tool permissions, and model secret handling.

• Elevated policy for machine-authored changes
• Prompt-injection reachability analysis for agent tool calls
• Detection of model API keys in code, logs, and build artifacts