Security Engineering for AWS Workloads

Embed security into every stage of your AWS SDLC, not as a final review.

A penetration test tells you what is exploitable at a single point in time; it does not change how software gets built. Late-stage vulnerabilities are the expensive ones to fix, and security processes that sit outside the development workflow are the ones that get bypassed.

Modus Create delivers enterprise security audits, DevSecOps maturity, cloud security and compliance, application security, and AI security engineering under one integrated practice, backed by AWS Security, Generative AI, and Life Sciences Competencies.

Key activities:

1. Assess: Enterprise security audits (White Box and Black Box testing, DevSecOps maturity reviews against OWASP DSOMM) and cloud security posture assessments across AWS, GCP, and Azure.
2. Embed: Application security and AI security engineering built into the SDLC and CI/CD pipeline, including secure coding practices, adversarial-attack mitigation, and AI governance frameworks.
3. Operate: SecOps automation and threat intelligence, including SIEM/SOAR integration, MITRE ATT&CK-based threat-informed defence, and Purple Team exercises that build internal team readiness.

Deliverables:

1. Enterprise security audit report (source code, infrastructure, and configuration review).
2. DevSecOps maturity assessment against OWASP DSOMM.
3. Hardened CI/CD pipeline with integrated security tooling (SAST, SCA, secrets scanning).
4. AI governance and compliance framework, where applicable.