Aligning IT, Security, and Risk for AI Success
As enterprises increasingly adopt artificial intelligence (AI) and automation, they face growing complexities and risks that can hinder business transformation. Strategic alignment between IT, security, and risk management is crucial to minimize exposure and fully capitalize on the benefits of AI at scale.
The Rising Risks of AI and Automation
The rapid deployment of AI workflows introduces new cybersecurity vulnerabilities, governance challenges, and model/decision risks. Poorly governed automation can propagate errors, disrupting operations. Improper data handling, model bias, and lack of decision transparency raise data privacy and regulatory concerns. These risks are no longer confined to individual functional areas.
The Need for Integrated Operations
A system vulnerability can quickly escalate into a security incident, a regulatory issue, and a business continuity concern. Operating IT, security, and risk domains independently creates tension between innovation and control. As Jay Reid, principal and ServiceNow solutions leader at Crowe, a consultancy and ServiceNow partner, states, “AI doesn’t just automate processes — it manages risk at scale.”1
Building an Integrated Operating Model
Many organizations struggle to achieve alignment due to siloed technology stacks – a mix of tools for IT service management (ITSM), security operations, and governance, risk, and compliance (GRC) – resulting in fragmented data and inconsistent reporting. Manual processes, a lack of conclude-to-end security incident orchestration, and inconsistent metrics further impede digital initiatives and hinder leadership’s ability to assess risk posture. This can lead to “transformation fatigue,” where AI initiatives slow down due to governance bottlenecks or proceed without sufficient oversight.
Reimagining IT, security, and risk as an integrated operating model provides common, real-time visibility, integrates workflows, and ensures continuous governance. Security incidents can automatically trigger IT remediation tasks and risk assessments, although compliance controls are embedded directly into IT workflows, rather than being assessed afterward. Risk and compliance leaders can engage early in AI design decisions, accelerating innovation without compromising regulatory confidence.
ServiceNow and Crowe: A Collaborative Approach
ServiceNow and Crowe are collaborating to help organizations achieve this alignment and position themselves for AI success. ServiceNow acts as a connected digital backbone, harmonizing IT, security, and risk operations through an integrated data model and a unified system of action. Key benefits include:
- Automated, cross-functional workflows that automatically trigger IT remediation tasks in response to security incidents and initiate corrective actions for control failures.
- Embedded governance that builds risk and compliance requirements directly into digital processes for continuous monitoring.
- Shared dashboards providing leadership with real-time visibility and unified reporting across operational, security, and compliance domains.
- Scalable AI governance to ensure innovation doesn’t outpace control.
Crowe brings experience across audit, cyber, regulatory compliance, and digital transformation, understanding both the technical architecture and control environments required for AI adoption. They offer services ranging from stakeholder program strategy workshops to designing risk and security programs, architecting ServiceNow environments, and driving business adoption.
1https://www.servicenow.com/blogs/ai-automation-it-security-risk-alignment