Advisory and hands-on delivery across cybersecurity, AI/ML, and digital transformation. Every engagement is led by a senior practitioner. Built on GCP and Azure.
Fractional C-suite technology leadership for companies that need seasoned operators.
Full ownership of the security function: strategy, program build, board reporting, regulatory interface, incident leadership, vendor management, and team development. Led by a practitioner who has held four CISO seats including Marvell Technology and Altera (Intel).
Strategic engineering leadership: technology roadmap, architecture decisions, cloud strategy (GCP/Azure), AI/ML platform direction, team structure, build-vs-buy analysis, and technical due diligence. Delivered by senior operators with experience scaling engineering organizations from startup to enterprise.
A named senior leader embedded with your executive team on a retainer basis. Board-ready materials, hands-on program ownership, and direct access to the partner leading your engagement.
End-to-end security program architecture, implementation, and audit readiness — built to withstand both adversaries and auditors.
SOC2 Type I & II, ISO 27001, NIST Cybersecurity Framework, FedRAMP, GDPR, HIPAA, PCI DSS, SOX, CIS Benchmarks, and MITRE ATT&CK alignment.
SSDLC (Secure Software Development Lifecycle), Identity & Access Management, data classification & protection, cloud security posture (GCP/Azure/AWS), third-party risk management, and security education programs.
A production-grade security program. Designed, built, run through audit, and handed off operational.
Enterprise AI programs that move past experimentation into governed, production-grade operations — designed for environments where getting it wrong has regulatory or reputational consequences.
AI use-case consolidation across business units. Stakeholder alignment. Prioritization frameworks that balance value, risk, and readiness. Roadmaps that survive contact with reality.
Model risk assessment, data governance frameworks, responsible-AI operating models, bias monitoring, privacy-centric deployment (encryption, anonymization), and AI-specific incident response.
An AI operating model your board, regulators, and customers can trust — plus the technical architecture on GCP or Azure to run it. A running program with the architecture to support it.
For enterprises past incremental optimization. We identify processes where AI creates durable advantage — then redesign, automate, and deploy them on cloud infrastructure.
Claims triage, security operations, compliance workflows, customer onboarding, supply-chain intelligence, document processing, and operational decision-making. Deployed on GCP or Azure serverless infrastructure.
Process mining and diagnostic → AI-fit analysis → architecture design → build and integrate → measure and iterate. Every transformation ships with KPIs and a feedback loop.
Processes that run faster, cheaper, and smarter — with measurable before-and-after metrics. We achieved 70% manual effort reduction at Marvell through this approach.
Pre- and post-acquisition security diligence that protects deal value and accelerates integration — by a team trained in McKinsey M&A methodology with Intel-scale integration experience.
Security posture assessment, vulnerability exposure, compliance gap analysis, technical debt inventory, data governance review, and risk quantification that translates to deal terms.
Integration playbooks, identity consolidation, cloud environment merge (GCP/Azure/AWS), policy harmonization, and cultural alignment of security practices across merged organizations.
When the worst happens, the quality of your preparation determines the outcome. We build crisis-ready organizations and lead response when it matters.
Ransomware-grade tabletop exercises, crisis management frameworks, BISO (Business Information Security Officer) model, Business Continuity Planning, and cross-functional response team design.
Direct coordination with internal stakeholders, regulatory agencies, and law enforcement. Single-digit detection-to-response time. Post-incident review and program hardening.
A direct conversation with the managing partner. No sales layer.