Skip to main content

Apiiro Integrates with ServiceNow CMDB

Apiiro announced a new integration that brings the power of Apiiro’s AI-Native Deep Code Analysis (DCA) and Code-to-Runtime Matching technologies to ServiceNow® Configuration Management Database (CMDB). 

The integration ensures the highest level of accuracy for software assets to support agentic AI systems and enable ServiceNow customers to make critical, informed business decisions.

“This integration is a major milestone for Apiiro and the ASPM market at large, as IT operations, security operations, and application security continue to converge,” said John Leon, VP partnerships and business development at Apiiro. “It’s a privilege to expand our partnership with ServiceNow by introducing our Agentic Application Security platform as the definitive source of truth for software development and becoming the software development lifecycle (SDLC) Systems of Record within the ServiceNow CMDB, equipping enterprise users with a precise inventory of software assets to ensure operational efficiency in today’s rapidly evolving, AI-driven software development revolution.”

ServiceNow CMDB is the single, trusted system of record for all configuration item (CI) data, providing an accurate, up-to-date view of IT and software environments so customers can fix service issues faster, reduce operational and security risks, lower costs, increase agility, and make better business and technical decisions. However, ensuring the accuracy of these assets is increasingly important in today’s AI-native software landscape, where components including containers, code snippets, and microservices are ever-changing.

Apiiro’s Agentic AppSec Platform enables the deepest visibility into software architectures by automatically discovering, mapping, visualizing and continuously updating dynamic inventories of code, supply chain, and infrastructure across all changes. By integrating with ServiceNow CMDB, Apiiro ensures that all software assets - programming languages, APIs, libraries, generative AI models, sensitive data, and open-source components - are accurately maintained. With direct access to enriched software asset intelligence, Apiiro equips ServiceNow Agentic AI workflows with accurate, contextual data required to autonomously complete tasks.

“Maintaining an accurate and up-to-date CMDB is critical in today’s ever-changing software landscape,” said Deepak Kolingivadi, Head of Security Products at ServiceNow. “By integrating Apiiro’s AI-Native Deep Code Analysis (DCA) and code-to-runtime context with ServiceNow’s cloud-based system of record for technology infrastructure, we are empowering our customers with AI-powered IT operations—enabling automation and efficiency with risk-aware workflows across development, operations and security teams”

The Latest

Seeing is believing, or in this case, seeing is understanding, according to New Relic's 2025 Observability Forecast for Retail and eCommerce report. Retailers who want to provide exceptional customer experiences while improving IT operations efficiency are leaning on observability ... Here are five key takeaways from the report ...

Technology leaders across the federal landscape are facing, and will continue to face, an uphill battle when it comes to fortifying their digital environments against hostile and persistent threat actors. On one hand, they are being asked to push digital transformation ... On the other hand, they are facing the fiscal uncertainty of continuing resolutions (CR) and government shutdowns looming near and far. In the face of these challenges, CIOs, CTOs, and CISOs must figure out how to modernize legacy systems and infrastructure while doing more with less and still defending against external and internal threats ...

Reliability is no longer proven by uptime alone, according to the The SRE Report 2026 from LogicMonitor. In the AI era, it is experienced through speed, consistency, and user trust, and increasingly judged by business impact. As digital services grow more complex and AI systems move into production, traditional monitoring approaches are struggling to keep pace, increasing the need for AI-first observability that spans applications, infrastructure, and the Internet ...

If AI is the engine of a modern organization, then data engineering is the road system beneath it. You can build the most powerful engine in the world, but without paved roads, traffic signals, and bridges that can support its weight, it will stall. In many enterprises, the engine is ready. The roads are not ...

In the world of digital-first business, there is no tolerance for service outages. Businesses know that outages are the quickest way to lose money and customers. For smaller organizations, unplanned downtime could even force the business to close ... A new study from PagerDuty, The State of AI-First Operations, reveals that companies actively incorporating AI into operations now view operational resilience as a growth driver rather than a cost center. But how are they achieving it? ...

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...

Apiiro Integrates with ServiceNow CMDB

Apiiro announced a new integration that brings the power of Apiiro’s AI-Native Deep Code Analysis (DCA) and Code-to-Runtime Matching technologies to ServiceNow® Configuration Management Database (CMDB). 

The integration ensures the highest level of accuracy for software assets to support agentic AI systems and enable ServiceNow customers to make critical, informed business decisions.

“This integration is a major milestone for Apiiro and the ASPM market at large, as IT operations, security operations, and application security continue to converge,” said John Leon, VP partnerships and business development at Apiiro. “It’s a privilege to expand our partnership with ServiceNow by introducing our Agentic Application Security platform as the definitive source of truth for software development and becoming the software development lifecycle (SDLC) Systems of Record within the ServiceNow CMDB, equipping enterprise users with a precise inventory of software assets to ensure operational efficiency in today’s rapidly evolving, AI-driven software development revolution.”

ServiceNow CMDB is the single, trusted system of record for all configuration item (CI) data, providing an accurate, up-to-date view of IT and software environments so customers can fix service issues faster, reduce operational and security risks, lower costs, increase agility, and make better business and technical decisions. However, ensuring the accuracy of these assets is increasingly important in today’s AI-native software landscape, where components including containers, code snippets, and microservices are ever-changing.

Apiiro’s Agentic AppSec Platform enables the deepest visibility into software architectures by automatically discovering, mapping, visualizing and continuously updating dynamic inventories of code, supply chain, and infrastructure across all changes. By integrating with ServiceNow CMDB, Apiiro ensures that all software assets - programming languages, APIs, libraries, generative AI models, sensitive data, and open-source components - are accurately maintained. With direct access to enriched software asset intelligence, Apiiro equips ServiceNow Agentic AI workflows with accurate, contextual data required to autonomously complete tasks.

“Maintaining an accurate and up-to-date CMDB is critical in today’s ever-changing software landscape,” said Deepak Kolingivadi, Head of Security Products at ServiceNow. “By integrating Apiiro’s AI-Native Deep Code Analysis (DCA) and code-to-runtime context with ServiceNow’s cloud-based system of record for technology infrastructure, we are empowering our customers with AI-powered IT operations—enabling automation and efficiency with risk-aware workflows across development, operations and security teams”

The Latest

Seeing is believing, or in this case, seeing is understanding, according to New Relic's 2025 Observability Forecast for Retail and eCommerce report. Retailers who want to provide exceptional customer experiences while improving IT operations efficiency are leaning on observability ... Here are five key takeaways from the report ...

Technology leaders across the federal landscape are facing, and will continue to face, an uphill battle when it comes to fortifying their digital environments against hostile and persistent threat actors. On one hand, they are being asked to push digital transformation ... On the other hand, they are facing the fiscal uncertainty of continuing resolutions (CR) and government shutdowns looming near and far. In the face of these challenges, CIOs, CTOs, and CISOs must figure out how to modernize legacy systems and infrastructure while doing more with less and still defending against external and internal threats ...

Reliability is no longer proven by uptime alone, according to the The SRE Report 2026 from LogicMonitor. In the AI era, it is experienced through speed, consistency, and user trust, and increasingly judged by business impact. As digital services grow more complex and AI systems move into production, traditional monitoring approaches are struggling to keep pace, increasing the need for AI-first observability that spans applications, infrastructure, and the Internet ...

If AI is the engine of a modern organization, then data engineering is the road system beneath it. You can build the most powerful engine in the world, but without paved roads, traffic signals, and bridges that can support its weight, it will stall. In many enterprises, the engine is ready. The roads are not ...

In the world of digital-first business, there is no tolerance for service outages. Businesses know that outages are the quickest way to lose money and customers. For smaller organizations, unplanned downtime could even force the business to close ... A new study from PagerDuty, The State of AI-First Operations, reveals that companies actively incorporating AI into operations now view operational resilience as a growth driver rather than a cost center. But how are they achieving it? ...

In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...

Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...

In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ... 

Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...

Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...