Projects

Design-time security that prevents issues before code is deployed.

Real-world testing that exposes what truly matters—no noise, just actionable risk.

Secure cloud and container environments across AWS, Azure, and GCP with hardened configurations, least-privilege access, and continuous visibility.

Embed automated security and governance into CI/CD pipelines so teams can ship secure code faster without slowing development.

Identify and remediate vulnerabilities across web, API, and mobile applications by integrating security throughout the entire SDLC.

Protect AI and ML systems by securing data pipelines, models, and infrastructure against governance and adversarial risks.

Implement secure, intelligent automation that reduces manual effort, improves efficiency, and scales reliably across enterprise systems.

Design secure, enterprise-ready AI agents that automate workflows, enhance decision-making, and operate within strong governance guardrails.

Reduce cyber risk through assessments, threat modeling, and penetration testing prioritized by real-world business impact.

Modernize networks with zero trust principles to reduce attack surfaces and protect assets across cloud, on-prem, and hybrid environments.

Prepare for audits and regulatory requirements with structured readiness assessments, gap analysis, and remediation roadmaps.

Design scalable, risk-based security architectures and roadmaps aligned with business growth and long-term resilience.