Human Led
Context before tooling
Human-led source review across architecture, application logic, dependencies and critical security controls.
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Context before tooling
Review what matters
Line-level findings
Guidance engineers can use
Context Before Noise

Security assumptions and privilege boundaries

Identity, roles and access-control logic

Untrusted input through critical sinks

Key handling, storage and sensitive data

Abuse paths scanners cannot understand

Third-party risk and insecure components
Automation + Human Judgment
Understand architecture and threat context
Identify critical code and attack surface
Use SAST, SCA, secrets and IaC analysis
Manually inspect high-risk logic
Confirm exploitability and eliminate noise
Deliver fixes developers can act on
Tools find patterns. People understand intent.
BBS combines automated analysis with manual review to find design flaws, unsafe assumptions and business-logic weaknesses that scanners cannot reliably interpret.
No raw scanner output
Exact code and data-flow context
What is realistically reachable
Design and trust-boundary risks
Practical engineering fixes
Direct review with your team
Review before release, during major change, after acquisition, or when critical code needs independent assurance.
Standards guide the review. Architecture, threat model and code context drive the conclusions.
Review the decisions that determine whether your software is secure before they become production risk.
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