AI RISK
Governance, Security and guardrails for enterprise ai.
Most mid-sized organizations are accelerating AI.
Few have established the governance, risk management, and security architecture required to scale it responsibly.
AI risk includes the governance, data protection, identity exposure, and security controls associated with artificial intelligence systems and tools. Without clear oversight, innovation can outpace control.
Executives are asking:
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Do we understand our AI-related data risk?
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Are sensitive datasets properly governed before AI tools access them?
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Do we have guardrails in place for enterprise-wide scaling?
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Who is accountable for AI oversight at the executive level?
At Pillar, we focus on secure AI.
We help organizations understand AI risk, implement governance guardrails, and establish the security architecture required to scale AI safely across the enterprise.
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Our AI Services
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AI Risk QuickStart
A focused session for executive and technical leaders to assess AI-related risk exposure and governance readiness before expanding adoption.
✓ Identify sensitive data exposure risks
✓ Clarify AI accountability and oversight roles
✓ Evaluate governance gaps
✓ Define immediate guardrails for risk reduction
>>> (2 Days) ____________________________________________________________
M365/Copilot Security Review
Secure Copilot before scaling it.
Copilot operates within your Microsoft 365 environment. If identity, permissions, or data classification are misaligned, AI amplification can increase exposure.
We assess:
✓ Identity and access governance
✓ Over-permissioned data exposure
✓ Sensitive data discovery and classification maturity
✓ AI-related activity monitoring
✓ Governance alignment with compliance obligations
Outcomes:
✓ Reduced exposure risk
✓ Stronger guardrails for Copilot deployment
✓ Executive-level clarity on AI-related data risk
✓ Secure foundation for broader rollout
>>> (2 Days) ____________________________________________________________
AI Pathfinder Workshop
A structured working session to align leadership around AI governance, risk tolerance, secure scaling priorities and a clear roadmap.
✓ Assess AI use cases and risk levels
✓ Define enterprise guardrails
✓ Identify gaps in identity, data classification and monitoring
✓ Establish governance structure and escalation paths
This is about controlling risk before expanding capability.
>>> (3 Weeks) ________________________________________________________
AI Risk & Maturity Evaluation
A structured evaluation of your data, technology, and organizational readiness to leverage AI and scale within a governed, secure environment
✓ Week 1: Data readiness and governance
✓ Week 2: Technology and integration
✓ Week 3: People, process, and compliance readiness
Outcome: A prioritized roadmap for secure, scalable AI
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AI Governance Platforms & Secure Architecture
Scaling AI responsibly requires connected governance across systems, data sources, and identity frameworks.
We help organizations implement AI governance platforms and secure architecture that:
✓ Provide visibility into AI-related data usage
✓ Enforce consistent protection policies across environments
✓ Integrate identity and access controls
✓ Monitor AI-related activity
✓ Support enterprise-wide scaling without fragmented controls
Our role is not to build AI models.
Our role is to ensure the data, systems, and governance structures those models rely on are secure, controlled, and defensible.
Why Pillar?
Right-sized solutions – Practical solutions aligned to your scale, budget, and strategy
AI expertise with depth – Proven experience taking AI from pilot to production across industries and across technology platforms
Full-business perspective – We connect AI to business outcomes, not just technology
Security-first by design – Cybersecurity is in our DNA; every solution is built with governance, privacy, and compliance in mind
Measurable results – Every engagement is designed to deliver ROI you can communicate to your board
Guardrails for scale – Architecture that evolves as AI adoption expands
Client Success: Advancing Patient Safety with Secure AI
A multi-hospital medical group partnered with Pillar to improve patient safety analytics and reduce claims exposure.
What We Did:
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Defined AI use cases for patient safety trend analysis, claims summarization, and credentialing.
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Built an enterprise-wide governance program to ensure compliance and quality.
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Deployed and validated secure AI platforms for production use.
Impact:
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Faster, more accurate insight into safety risks.
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Reduced claims exposure for physicians, hospitals and physician groups.
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A scalable, governed AI foundation ready for expansion.
The Pillar Difference
We secure the foundation that makes AI sustainable. By aligning AI governance, cybersecurity controls, and executive oversight, we ensure innovation does not introduce unmanaged exposure.
AI moves quickly. Risk compounds quickly. Secure AI requires discipline.
AI Resource Center
5 Reasons AI Pilots Fail
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Our AI Portfolio
