About

About Privity Systems

Why We Exist

Privity Systems was founded to address a persistent enterprise challenge: how to operate complex, high-risk technology systems in a way that is secure, compliant, and trusted at scale.

Since 2008, the firm has worked with organizations operating under stringent regulatory and assurance requirements—designing security, privacy, and compliance architectures for environments where failure carries material business and legal consequences. That foundation continues to shape how Privity Systems approaches emerging technologies today.

As artificial intelligence evolves from analytical tooling into autonomous, agent-driven systems, the same core problem has re-emerged in a new form: how to introduce powerful capability without losing control, accountability, or regulatory alignment.

Privity Systems exists to help enterprises navigate this transition deliberately.

Our Evolution

Privity Systems began as a security and compliance architecture firm, with deep roots in audit readiness, regulatory assurance, and risk governance. For more than a decade, the firm operated as a PCI Qualified Security Assessor (QSA) Company, supporting organizations in highly regulated sectors as they modernized infrastructure, adopted cloud technologies, and navigated evolving compliance obligations.

This work required more than control implementation—it demanded architectural clarity, traceability, and provable trust across complex technical and organizational environments.

The firm’s current focus on autonomous and agentic AI is a direct extension of that experience. As AI systems began to assume decision-making authority, operate continuously, and interact autonomously with enterprise systems, the limitations of traditional security and governance models became apparent.

The pivot toward AI trust, security, and governance was not a departure from Privity Systems’ core mission, but a continuation of it—applied to the most consequential technology shift enterprises now face.

Our Purpose

We believe that trust in AI is not a compliance artifact or a tooling problem—it is an architectural outcome.

Trust emerges when business intent, risk tolerance, and technical enforcement are aligned across the full lifecycle of autonomous systems. This principle has guided Privity Systems’ work since its inception, and it remains central as AI becomes embedded in core enterprise operations.

Our focus is on designing the structural foundations that allow AI to scale without sacrificing control, accountability, or resilience—so that autonomy is introduced intentionally, governed continuously, and defended credibly.

Our Perspective

Privity Systems operates from the premise that enterprise AI is no longer an innovation initiative—it is an operating model transformation.

This perspective is informed by years of working at the intersection of security architecture, compliance engineering, and enterprise risk management. It shapes how we engage today:

Autonomous systems must be treated as organizational actors, not software features
Security and governance must be designed into architectures, not layered on afterward
Regulatory alignment must be engineered, not documented retroactively
Trust must be provable, observable, and continuously maintained

We apply established enterprise and security architecture disciplines to emerging AI environments, ensuring innovation advances in step with enterprise responsibility.

How We Work

Our engagements are architectural in nature. We work with executive, security, and architecture leadership to define how autonomous AI fits into the enterprise before irreversible technical or risk decisions are made.

This approach reflects our origins in regulated, audit-driven environments, where clarity, traceability, and defensibility are essential.

We favor:

Explicit trust boundaries over implicit autonomy
Architectural traceability over ad-hoc controls
Operational governance over static policy
Executive clarity over technical optimism

The Principals

Privity Systems is led by principals with deep experience operating in regulated, high-assurance enterprise environments. Client engagements are led directly by the firm’s founders, ensuring continuity, discretion, and senior-level accountability.

Shawn Chaput

Principal & Trust Architect

Shawn R. Chaput is a senior trust architect specializing in the security, governance, and resilience of large-scale enterprise AI systems. His work focuses on designing high-assurance architectures for agentic and autonomous AI environments operating in regulated, high-stakes domains.

Shawn brings deep experience bridging advanced technical systems with enterprise risk management, regulatory alignment, and organizational accountability. His perspective is grounded in decades of work across cybersecurity, enterprise architecture, audit, and governance—helping organizations translate abstract principles of responsible AI into enforceable, operational reality.

In his current role as Trust Architect for AI/ML at a global design and engineering software company, Shawn leads initiatives focused on securing multimodal foundation models, agentic workflows, and emerging orchestration patterns. His work addresses the full spectrum of AI trust challenges, including model governance, non-human identity control, lifecycle assurance, and the integration of AI systems into existing enterprise risk frameworks.

Prior to this, Shawn held senior enterprise security architecture roles within financial services and critical infrastructure environments, where he supported large-scale modernization initiatives, payments systems, and cloud transformation programs under stringent regulatory constraints. He has also advised public and private sector organizations across healthcare, transportation, utilities, education, and financial services on cybersecurity strategy and compliance architecture.

Shawn has contributed to the development of international security and governance standards and has worked closely with standards bodies and industry groups shaping modern approaches to cloud security, auditability, and risk management. His work emphasizes architectural clarity, provable controls, and governance mechanisms that scale alongside technical innovation.

At Privity Systems, Shawn applies this experience to help enterprises design AI architectures that enable autonomy without sacrificing control—ensuring that trust, security, and governance are embedded by design as AI becomes a core organizational capability

https://www.chaput.ai

Kat Ringwood

Principal & Governance Architect

Kat Ringwood is a senior governance and risk leader specializing in information security, privacy, and regulatory assurance for complex enterprise environments. She brings decades of experience designing and operating governance frameworks that enable organizations to manage risk, meet regulatory obligations, and sustain trust across evolving technology landscapes.

Kat’s work focuses on translating regulatory, audit, and compliance requirements into practical, operational governance models. Her expertise spans security and privacy governance, risk management, audit readiness, and resilience—supporting organizations operating in highly regulated and high-impact domains, including financial services, government, healthcare, transportation, and critical infrastructure.

In her role as Information Security Governance Manager within a systemically important financial institution, Kat leads enterprise governance initiatives that align security strategy, regulatory compliance, and operational execution. Her work addresses the full lifecycle of governance, from policy and risk classification through control implementation, assurance, and continuous improvement.

As a co-founder of Privity Systems, Kat is responsible for the firm’s strategic direction and governance philosophy. She serves as a senior advisor to organizations navigating complex regulatory environments, providing guidance that balances legal obligation, operational feasibility, and business outcomes. Her approach emphasizes clarity, accountability, and sustainable governance over procedural compliance.

Kat has contributed directly to the development of industry standards and assurance frameworks and has participated in international certification and standards bodies shaping global approaches to risk and information security governance. She is also a co-inventor on a patented system for data classification and privacy management, reflecting her long-standing focus on scalable, defensible approaches to data protection.

At Privity Systems, Kat applies this experience to help enterprises operationalize trust—ensuring that governance, privacy, and regulatory alignment are engineered into AI and digital systems as enduring organizational capabilities, not after-the-fact controls

Who We Serve

Privity Systems works with organizations operating in complex, high-stakes environments—where AI decisions carry material business, security, and regulatory consequences.

Our clients typically include:

CIOs, CISOs, CROs, and Enterprise Architects
Technology and risk leaders preparing for large-scale AI autonomy
Organizations seeking to operationalize AI governance without constraining innovation

Engagements are intentional, scoped, and led at the architectural level.

Why Clients Engage Privity Systems

Clients engage Privity Systems when they need clarity before scale—when architectural decisions will define years of risk exposure, regulatory posture, and operational trust.

Our work reflects a continuity of purpose: applying disciplined security and governance architecture to the technologies that matter most at each stage of enterprise evolution.

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