Government agencies are accelerating AI adoption while facing heightened expectations for security-by-design, governance, and traceability – including alignment to NIST guidance, OMB priorities, and Zero Trust principles. As AI moves from pilots to operational use (including AI agents influencing code and mission workflows), agencies need guardrails that support innovation and stand up to oversight – without slowing delivery.

Join Randy Soper, Senior Director, Federal Data & AI Lead at Slalom, and Gordon Cooper, Field Chief Enterprise Architect at Orbus Software, for a 45-minute practical discussion on how modern enterprise architecture (EA) provides the governance and security foundation to scale AI responsibly – supporting ATO readiness, continuous monitoring, and risk-managed delivery.

In this webinar, we’ll cover:

• NIST-aligned AI security architecture: Implementing operational guardrails that connect mission outcomes to controls and implementation.

• Governance frameworks for AI risk: Decision rights, policy-to-implementation traceability, and managing security/privacy/compliance risk.

• Zero Trust and cybersecurity architecture: End-to-end controls and evidence to support audit readiness and ongoing assessments.

• AI & data governance: Lineage, provenance, and dynamic tracking across data, models, and downstream use – supporting transparency and defensibility.

• The relevance of cloud and FedRAMP Authorization: How EA supports programs operating under FedRAMP Authorized services and agency authorization processes.

There will also be a live Q&A session at the end of the session.

Not able to join live? Register anyway and we’ll share the recording to watch at your convenience.

‍

Government agencies are accelerating AI adoption while facing heightened expectations for security-by-design, governance, and traceability – including alignment to NIST guidance, OMB priorities, and Zero Trust principles. As AI moves from pilots to operational use (including AI agents influencing code and mission workflows), agencies need guardrails that support innovation and stand up to oversight – without slowing delivery.

Join Randy Soper, Senior Director, Federal Data & AI Lead at Slalom, and Gordon Cooper, Field Chief Enterprise Architect at Orbus Software, for a 45-minute practical discussion on how modern enterprise architecture (EA) provides the governance and security foundation to scale AI responsibly – supporting ATO readiness, continuous monitoring, and risk-managed delivery.

In this webinar, we’ll cover:

• NIST-aligned AI security architecture: Implementing operational guardrails that connect mission outcomes to controls and implementation.

• Governance frameworks for AI risk: Decision rights, policy-to-implementation traceability, and managing security/privacy/compliance risk.

• Zero Trust and cybersecurity architecture: End-to-end controls and evidence to support audit readiness and ongoing assessments.

• AI & data governance: Lineage, provenance, and dynamic tracking across data, models, and downstream use – supporting transparency and defensibility.

• The relevance of cloud and FedRAMP Authorization: How EA supports programs operating under FedRAMP Authorized services and agency authorization processes.

There will also be a live Q&A session at the end of the session.

Not able to join live? Register anyway and we’ll share the recording to watch at your convenience.

‍

Government agencies are accelerating AI adoption while facing heightened expectations for security-by-design, governance, and traceability – including alignment to NIST guidance, OMB priorities, and Zero Trust principles. As AI moves from pilots to operational use (including AI agents influencing code and mission workflows), agencies need guardrails that support innovation and stand up to oversight – without slowing delivery.

Join Randy Soper, Senior Director, Federal Data & AI Lead at Slalom, and Gordon Cooper, Field Chief Enterprise Architect at Orbus Software, for a 45-minute practical discussion on how modern enterprise architecture (EA) provides the governance and security foundation to scale AI responsibly – supporting ATO readiness, continuous monitoring, and risk-managed delivery.

In this webinar, we’ll cover:

• NIST-aligned AI security architecture: Implementing operational guardrails that connect mission outcomes to controls and implementation.

• Governance frameworks for AI risk: Decision rights, policy-to-implementation traceability, and managing security/privacy/compliance risk.

• Zero Trust and cybersecurity architecture: End-to-end controls and evidence to support audit readiness and ongoing assessments.

• AI & data governance: Lineage, provenance, and dynamic tracking across data, models, and downstream use – supporting transparency and defensibility.

• The relevance of cloud and FedRAMP Authorization: How EA supports programs operating under FedRAMP Authorized services and agency authorization processes.

There will also be a live Q&A session at the end of the session.

Not able to join live? Register anyway and we’ll share the recording to watch at your convenience.

‍

Government agencies are accelerating AI adoption while facing heightened expectations for security-by-design, governance, and traceability – including alignment to NIST guidance, OMB priorities, and Zero Trust principles. As AI moves from pilots to operational use (including AI agents influencing code and mission workflows), agencies need guardrails that support innovation and stand up to oversight – without slowing delivery.

Join Randy Soper, Senior Director, Federal Data & AI Lead at Slalom, and Gordon Cooper, Field Chief Enterprise Architect at Orbus Software, for a 45-minute practical discussion on how modern enterprise architecture (EA) provides the governance and security foundation to scale AI responsibly – supporting ATO readiness, continuous monitoring, and risk-managed delivery.

In this webinar, we’ll cover:

• NIST-aligned AI security architecture: Implementing operational guardrails that connect mission outcomes to controls and implementation.

• Governance frameworks for AI risk: Decision rights, policy-to-implementation traceability, and managing security/privacy/compliance risk.

• Zero Trust and cybersecurity architecture: End-to-end controls and evidence to support audit readiness and ongoing assessments.

• AI & data governance: Lineage, provenance, and dynamic tracking across data, models, and downstream use – supporting transparency and defensibility.

• The relevance of cloud and FedRAMP Authorization: How EA supports programs operating under FedRAMP Authorized services and agency authorization processes.

There will also be a live Q&A session at the end of the session.

Not able to join live? Register anyway and we’ll share the recording to watch at your convenience.

‍

Government agencies are accelerating AI adoption while facing heightened expectations for security-by-design, governance, and traceability – including alignment to NIST guidance, OMB priorities, and Zero Trust principles. As AI moves from pilots to operational use (including AI agents influencing code and mission workflows), agencies need guardrails that support innovation and stand up to oversight – without slowing delivery.

Join Randy Soper, Senior Director, Federal Data & AI Lead at Slalom, and Gordon Cooper, Field Chief Enterprise Architect at Orbus Software, for a 45-minute practical discussion on how modern enterprise architecture (EA) provides the governance and security foundation to scale AI responsibly – supporting ATO readiness, continuous monitoring, and risk-managed delivery.

In this webinar, we’ll cover:

• NIST-aligned AI security architecture: Implementing operational guardrails that connect mission outcomes to controls and implementation.

• Governance frameworks for AI risk: Decision rights, policy-to-implementation traceability, and managing security/privacy/compliance risk.

• Zero Trust and cybersecurity architecture: End-to-end controls and evidence to support audit readiness and ongoing assessments.

• AI & data governance: Lineage, provenance, and dynamic tracking across data, models, and downstream use – supporting transparency and defensibility.

• The relevance of cloud and FedRAMP Authorization: How EA supports programs operating under FedRAMP Authorized services and agency authorization processes.

There will also be a live Q&A session at the end of the session.

Not able to join live? Register anyway and we’ll share the recording to watch at your convenience.

‍