For the second year in a row, Resilinc holds a Leaders position, recognition that reflects where supply chain risk management is heading and the role trusted, autonomous AI plays in getting there.
The risk environment hasn’t let up
Procurement and supply chain leaders are navigating more risk, with less margin for error, than at any point in recent memory, and the bar for managing it keeps rising. Against that backdrop, we’re proud to share that Resilinc has been named a Leader in the 2026 Gartner® Magic Quadrant™ for Supplier Risk Management Solutions for the second consecutive year.
Supply chain risk has continued to intensify with tariffs shifting week to week, forced labor regulations expanding globally, and geopolitical disruptions compressing the window between event and impact. Holding the Leaders position two years running reflects our ability to keep pace with that reality and, more importantly, help our customers act on it faster.
From visibility to trusted, autonomous decision-making
The conversation in supply chain risk has shifted. Visibility was the starting point. The question now is what organizations do with what they see and how quickly they can move from alert to action.
“We believe our position as a Leader reflects the critical shift happening in supply chains, moving from visibility to trusted, AI-driven decision-making,” said Kamal Ahluwalia, CEO of Resilinc. “As supply chains become increasingly agentic, organizations must be able to trust not just the data, but the recommendations and actions those systems generate. Resilinc is differentiated by delivering decision-grade intelligence through AI agents that customers can rely on to act quickly and confidently in the face of disruption.”
What Gartner recognized as our strengths
Gartner cited three areas where Resilinc stands apart:
- Agentic AI built for specific risk domains. Our AI agents deliver intelligence across forced labor detection, tariff impact modeling, disruption prioritization, and predictive analytics for recovery timelines and vulnerability assessment. Through agent-to-agent communication, customers can integrate their existing control towers and planning systems for automated data retrieval, workflow orchestration, and AI-generated risk narratives.
- Multitier mapping that goes beyond Tier 1. Most platforms map direct suppliers and infer the rest. Resilinc uses a hybrid approach: AI-driven autonomous mapping combined with supplier-validated data in a graph-based intelligence engine that builds part-to-site relationships down to the raw material level. That depth is what allows organizations to uncover hidden dependencies, identify single-source exposures, and address regulatory bottlenecks before they result in disruption.
- Follow-the-sun global support. Resilinc maintains support teams across multiple regions to ensure customers receive responsive service at any hour. For global enterprises managing risk around the clock, this is critical for operational resiliency.
How Resilinc stands out in the Leaders quadrant
Five vendors earned a Leaders position in 2026. Across the evaluations, a few themes emerge that distinguish Resilinc: the maturity of our agentic AI capabilities, the depth of part-level multitier visibility, and the breadth of risk domains we cover, spanning disruptions, forced labor compliance, and tariff exposure in a single platform. While other Leaders bring strengths in areas like ESG, financial risk, and data quality, the combination of decision-grade intelligence and the ability to operationalize it across the enterprise is where we believe Resilinc is furthest along.
Why this matters going forward
As supply chains grow more complex and continue to be shaped by geopolitical, regulatory, and operational pressures, Resilinc remains focused on advancing the platform through continued investment in AI, data, and automation. Our goal is faster, more confident decisions at scale.
Being named a Leader two years running is a milestone we’re proud of. But the work that earned it — deeper multitier visibility, more capable AI agents, faster time from detection to action — is the same work we’ll keep doing. That bar will keep moving. And so will we.
