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

June 20, 2024

The total cost of downtime for Global 2000 companies is $400 billion annually — or 9% of profits — when digital environments fail unexpectedly, according to The Hidden Costs of Downtime, a new report from Splunk ...

June 18, 2024

With the rise of digital transformation and the increasing reliance on applications for business operations, the need for application performance management (APM) has become more critical ... This blog explains what APM is all about, its significance and key features ...

June 17, 2024

Generative AI (GenAI) has captured significant attention by redefining content creation and automation processes. Despite this surge in GenAI's popularity, it's crucial to highlight the continuous, vital role of machine learning (ML) in underpinning crucial business functions. This era is not about GenAI replacing ML; rather, it's about these technologies collaborating to supercharge intelligent automation across industries ...

June 13, 2024

As organizations continue to navigate their digital transformation journeys, the need for efficient, secure, and scalable data movement strategies has never been more critical ... In an era when enterprise IT landscapes are continually evolving, the strategic movement of data has become a cornerstone of maintaining agility, competitive edge, and operational efficiency ...

June 12, 2024

In May, New Relic published the State of Observability for IT and Telecommunications Report to share insights, statistics, and analysis on the adoption and business value of observability for the IT and telecommunications industries. Here are five key takeaways from the report ...

June 11, 2024
Over the past decade, the pace of technological progress has reached unprecedented levels, where fads both quickly rise and shrink in popularity. From AI and composability to augmented reality and quantum computing, the toolkit of emerging technologies is continuing to expand, creating a complex set of opportunities and challenges for businesses to address. In order to keep pace with competitors, avoiding new models and ideas is not an option. It's critical for organizations to determine whether an idea has transformative properties or is just a flash in the pan — a challenge tackled in Endava's new 2024 Emerging Tech Unpacked Report ...
June 10, 2024

The rapidly evolving nature of the industry, particularly with the recent surge in generative AI, can catch firms off-guard, leaving them scrambling to adapt to new trends without the necessary funds ... This blog will discuss effective strategies for optimizing cloud expenses to free up funds for emerging AI technologies, ensuring companies can adapt and thrive without financial strain ...

June 06, 2024

Software developers are spending more than 57% of their time being dragged into "war rooms" to solve application performance issues, rather than investing their time developing new, cutting-edge software applications as part of their organization's innovation strategy, according to a new report from Cisco ...

June 05, 2024

Generative Artificial Intelligence (GenAI) is continuing to see massive adoption and expanding use cases, despite some ongoing concerns related to bias and performance. This is clear from the results of Applause's 2024 GenAI Survey, which examined how digital quality professionals use and experience GenAI technology ... Here's what we found ...

June 04, 2024

Many times customers want to know why their measured performance doesn't match the speed advertised (by the platform vendor, software vendor, network vendor, etc). Assuming the advertised speeds are (a) within the realm of physical possibility and obeys the laws of physics, and (b) are real achievable speeds and not "click-bait," there are at least ten reasons for being unable to achieve advertised speeds. In situations where customer expectations and measured performance don't align, use the following checklist to help determine the reason(s) why ...