Threat modeling
STRIDE/LINDDUN sessions that surface risks before code is written.
Qbatch · App & Data Security
Application security woven into how you build — threat modeling, secure code practices, dependency scanning, and data protection that keeps pace with delivery.
Secure SDLC
Threat modeling & abuse cases
Secure coding & dependency scans
SAST, DAST, and pen tests
Signed artifacts & policy gates
Runtime protection & response
Capabilities
Developers get fast feedback; security teams get auditable controls.
STRIDE/LINDDUN sessions that surface risks before code is written.
SAST, SCA, and secret scanning on every pull request.
Classification, encryption, masking, and retention policies.
OAuth/OIDC patterns, MFA, and session hardening.
Pre-release testing for OWASP Top 10 and business-logic flaws.
Evidence and controls for SOC 2, HIPAA, and PCI scopes.
Findings in IDE and CI — not only in annual pen tests.
PII/PHI handling designed in, not patched after a breach.
Vulnerability SLAs, trend dashboards, and fewer repeat findings.
Explore more
CI/CD, observability, and infrastructure as code.
Architect resilient systems on AWS, Azure, and GCP.
Lift, refactor, or replatform with minimal downtime.
Right-size spend without sacrificing reliability.
Hardened networks, secrets, and access controls.
Yes — Snyk, SonarQube, Checkmarx, Burp, and cloud-native scanners integrated into your pipelines.
No. We augment with hands-on SDLC integration, playbooks, and training so your team owns the program.
SCA in CI, allowlists, and upgrade policies with clear SLAs for critical CVEs.
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