SolarWinds AI Released
May 21, 2024
Share this

SolarWinds announced the launch of SolarWinds® AI to empower tech pros to manage the complexities of modern digital environments.

The purpose-built generative AI engine was developed using the company’s newly unveiled AI by Design framework to help ensure privacy, security, and reliability in developing advanced AI technologies.

SolarWinds AI is first being introduced in SolarWinds Service Desk, the company’s IT service management (ITSM) solution for improving IT outcomes, service delivery, and employee satisfaction. SolarWinds AI powers a transformative new generative AI feature in Service Desk, designed to supercharge agent workflows and facilitate empowered, high-performing IT teams to resolve tickets in minutes rather than hours or days. This accelerated remediation process helps create a world-class experience for employees across the organization by minimizing downtime and outages.

Powered by large language models (LLMs) and proprietary algorithms, SolarWinds AI in Service Desk instantly summarizes complex ticket histories, provides suggested agent responses to inquiries, and generates real-time recommended steps for resolving issues. The company also plans to introduce SolarWinds AI throughout its suite of observability and IT management solutions, adding a new digital partner for DevOps, SecOps, database teams, and beyond.

“In creating SolarWinds AI, we leveraged our long history of engaging with the IT community to build an AI system that could act as a valued partner to IT pros in their everyday lives and reimagine the productivity, efficiency, and innovation they’re capable of,” said Krishna Sai, SVP of Engineering at SolarWinds. “We believe that our new AI by Design framework sets a model for how the broader industry should approach AI, built on our belief that privacy, security, and trust must be inherent to any AI system.

AI by Design is a rigorous framework for creating secure, productive, and enduring AI-driven solutions, guided by four key principles:

- Privacy and Security: To help ensure unparalleled data safety, SolarWinds AI is designed to secure personal data collection, storage, use, and protection through robust measures, like role-based access control (RBAC), multi-factor authentication (MFA), privileged access management (PAM), and anonymization techniques. Sensitive customer data does not pass through external large language models (LLMs), and SolarWinds AI improves based on usage patterns and organizational needs without compromising data privacy.

- Accountability and Fairness: SolarWinds AI proactively includes humans in training and testing to oversee AI-guided decision-making processes to avoid biases. It captures and addresses negative user experiences through robust feedback and validation mechanisms, ensuring that human judgment plays a crucial role throughout the AI lifecycle.

- Transparency and Trust: To provide confidence in the outcomes of AI-driven processes, SolarWinds AI features a well-defined explainability pipeline to demonstrate the rationale behind AI-generated actions. This enables continuous refinement based on the customers’ evolving needs and helps demystify the process for AI decisions and outputs.

- Simplicity and Accessibility: SolarWinds AI is built into the company’s user-friendly product interfaces to help ensure the continuation of regular workflows and existing user procedures, behaviors, and practices.

Share this

The Latest

July 25, 2024

The 2024 State of the Data Center Report from CoreSite shows that although C-suite confidence in the economy remains high, a VUCA (volatile, uncertain, complex, ambiguous) environment has many business leaders proceeding with caution when it comes to their IT and data ecosystems, with an emphasis on cost control and predictability, flexibility and risk management ...

July 24, 2024

In June, New Relic published the State of Observability for Energy and Utilities Report to share insights, analysis, and data on the impact of full-stack observability software in energy and utilities organizations' service capabilities. Here are eight key takeaways from the report ...

July 23, 2024

The rapid rise of generative AI (GenAI) has caught everyone's attention, leaving many to wonder if the technology's impact will live up to the immense hype. A recent survey by Alteryx provides valuable insights into the current state of GenAI adoption, revealing a shift from inflated expectations to tangible value realization across enterprises ... Here are five key takeaways that underscore GenAI's progression from hype to real-world impact ...

July 22, 2024
A defective software update caused what some experts are calling the largest IT outage in history on Friday, July 19. The impact reverberated through multiple industries around the world ...
July 18, 2024

As software development grows more intricate, the challenge for observability engineers tasked with ensuring optimal system performance becomes more daunting. Current methodologies are struggling to keep pace, with the annual Observability Pulse surveys indicating a rise in Mean Time to Remediation (MTTR). According to this survey, only a small fraction of organizations, around 10%, achieve full observability today. Generative AI, however, promises to significantly move the needle ...

July 17, 2024

While nearly all data leaders surveyed are building generative AI applications, most don't believe their data estate is actually prepared to support them, according to the State of Reliable AI report from Monte Carlo Data ...

July 16, 2024

Enterprises are putting a lot of effort into improving the digital employee experience (DEX), which has become essential to both improving organizational performance and attracting and retaining talented workers. But to date, most efforts to deliver outstanding DEX have focused on people working with laptops, PCs, or thin clients. Employees on the frontlines, using mobile devices to handle logistics ... have been largely overlooked ...

July 15, 2024

The average customer-facing incident takes nearly three hours to resolve (175 minutes) while the estimated cost of downtime is $4,537 per minute, meaning each incident can cost nearly $794,000, according to new research from PagerDuty ...

July 12, 2024

In MEAN TIME TO INSIGHT Episode 8, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses AutoCon with the conference founders Scott Robohn and Chris Grundemann ...

July 11, 2024

Numerous vendors and service providers have recently embraced the NaaS concept, yet there is still no industry consensus on its definition or the types of networks it involves. Furthermore, providers have varied in how they define the NaaS service delivery model. I conducted research for a new report, Network as a Service: Understanding the Cloud Consumption Model in Networking, to refine the concept of NaaS and reduce buyer confusion over what it is and how it can offer value ...