ServiceNow has established itself as a trusted global brand, and as we approach 2025, AI is poised to redefine ServiceNow’s GRC (Governance, Risk, and Compliance) capabilities. As an outcome-focused IT solutions provider, inMorphis is at the forefront of harnessing AI’s potential within ServiceNow GRC. The shift toward AI-driven GRC solutions brings predictive analytics and real-time insights together. This combination empowers organizations to enhance compliance, reduce risks, and improve decision-making.
In this blog post, we’ll explore the potential of AI-powered knowledge graphs in ServiceNow GRC. We’ll also examine the evolution of AI in GRC, its challenges and solutions, and what the future holds for AI in ServiceNow GRC.
Building AI-Enhanced Knowledge Maps for GRC
Knowledge is vital in the AI ecosystem. The foundation for advanced AI applications in ServiceNow GRC is the development of a knowledge graph—a structured map of assets, processes, and control measures in the GRC framework. This approach identifies relationships between data points, creating a comprehensive model that drives informed risk assessments and compliance.
For example, inMorphis leverages AI to identify and map risks across business processes automatically. By incorporating knowledge graphs, inMorphis empowers organizations to capture risk correlations, streamline control mechanisms, and foster robust data-backed compliance structures.
The Evolution of GRC: From Manual Processes to AI Integration
As regulations continue to evolve, AI helps organizations identify and meet obligations specific to their needs. AI-based decisions can leverage insights from past data patterns and learn from recommendations to enhance compliance and risk management.
In fact, a 10-year data study1 shows that implementing a GRC tool delivers significant ROI, with organizations seeing a 35% time savings in the first year and an impressive 85% annually in the following years. This measurable efficiency underscores the value of AI-powered automation in ServiceNow GRC, helping organizations streamline processes and meet high standards set by customers and partners.
AI adapts to different domains and cases, with tailored models designed to meet an organization’s unique needs. The best organizations are those that leverage AI to align their products and services with customer and partner demands.
Risk Prediction and Mitigation with AI
Effective risk management is essential, especially in vulnerability management and asset lifecycle. Risks can be prioritized as low, medium, high, or critical. To manage these effectively, risk configuration is required to generate heatmaps, while cyber risk quantification directly impacts business value. ServiceNow’s Out-of-the-Box (OOB) enterprise knowledge graph offers powerful tools to support these processes, including:
1. Risk Identification and Assessment
- Accessed and identified through GRC Ontology-based knowledge graph paradigms.
- Builds relationships between processes, risks, and control coverage, creating a clear, connected view of risk factors.
- Initiates essential triggers based on risk assessment results and control tests.
2. Risk Mitigation and Treatment
- Defines and identifies patterns and themes across challenges and observations.
- Automatically initiates root cause analysis through triggered action points.
- Recommends effective treatment plans and action steps.
Streamlining Compliance and Regulatory Reporting
AI helps manage relationships between processes, associated risks, and relevant concepts. This approach enables the identification of critical gaps in risk and control coverage. AI also intelligently triggers risk-based assignments and control tests.
When addressing cyber risks, AI assesses both qualitative and quantitative risk measures. This dual approach helps protect against threats like hackers or domain-based vulnerabilities. Studies2 show that organizations using AI-driven cybersecurity can reduce detection times by up to 90%, significantly lowering potential exposure to threats. This dual approach strengthens our cybersecurity stance, ensuring that AI-driven insights guide more informed and timely decisions.
AI Offers New Risk Updates in Collaboration with ServiceNow
When new regulatory requirements emerge, AI assesses their business impact by identifying affected areas within the knowledge graph. Previously, users had to perform this impact analysis manually. However, with ServiceNow's AI integration, the process begins with an AI bootstrap that generates a set of recommendations for users to take as initial steps. This collaboration provides a structured approach, enabling users to confidently move in the right direction with a ready-made action plan.
AI-Driven Decision-Making in ServiceNow GRC
In most organizations, top management often needs a unified view of cybersecurity metrics related to security, risk, and compliance. Without a single operational dashboard, decision-makers can struggle to take swift action or monitor these critical areas. AI-driven cybersecurity executive dashboards solve this by providing the following:
- A centralized dashboard provides a “single pane of glass” for tracking security incidents, vulnerabilities, operational technology, and compliance.
- Benchmarking of security and risk metrics, supporting budget planning and tracking quarterly goals to improve overall security and risk posture.
The embedded AI system generates an optimal list of actions for users to address issues quickly. As users engage with an issue, AI can automatically suggest resolutions based on past cases, and access to historical data helps identify relevant patterns or past issues.
When building AI models, components are captured from previously documented cases. Missing components are identified and added to the AI dictionary, categorized, and processed to enhance the knowledge base, making future decision-making more informed and efficient.
Overcoming Challenges in AI-Driven GRC
In AI-driven GRC, setting and tracking key metrics provides a unified score that reflects an organization’s security, compliance, and risk posture.
Drilling down into KPIs allows for detailed breakdowns of this score, offering a quick snapshot of metric movements. This system provides:
- Key metrics on IT and OT vulnerabilities, security incidents, and employee readiness.
- Operational metrics for risk and compliance, privacy, crisis management, events, disaster recovery, third-party risk, and audits.
- Enhanced control attestations and improved user experience with the new assessment engine, supported on the workspace.
- Flexibility to choose between classic attestations and new, objective-based attestations, which are applied at the control level.
Additional reference information, such as control description, key control, etc., for the attestation respondent and the ability to provide justifications and attach files to each question boost the AI-driven approach.
It helps to respond to assessments easily at some point by opening multiple assessments in one combined view and then submitting all evaluations collectively with a single click.
Additional reference details, such as control descriptions and key controls, support the attestation process. Users can also attach files and provide justifications for each question, strengthening the AI-driven approach.
This setup enables users to respond to assessments more efficiently by viewing multiple assessments at once and submitting them collectively with a single click.
The Future of AI in ServiceNow GRC
The future of AI in ServiceNow GRC is promising. Predictive analytics and machine learning are set to take center stage. inMorphis anticipates the next wave of advancements in AI-enabled GRC, where models will recommend tailored compliance actions and provide real-time insights into emerging risks.
AI in ServiceNow GRC marks the next evolution in GRC strategies. It offers an agile, proactive approach to addressing both current and future regulatory challenges. inMorphis remains dedicated to innovation in this space, delivering AI-powered solutions that boost GRC efficiency, enhance compliance, and help clients stay resilient in a complex digital landscape.
Contact inMorphis today to see the impact of AI-driven GRC and grow your business.
