Ivanti Neurons Platform Introduced
July 21, 2020
Share this

Ivanti unveiled Ivanti Neurons™, a new hyper-automation platform that empowers organizations to proactively, predictably and autonomously self-heal and self-secure devices, and self-service end users.

Ivanti Neurons augments IT teams with automation bots that detect and resolve issues and security vulnerabilities while improving the accuracy, speed and costs of services IT delivers.

Early adopters of the solution have reduced unplanned outages up to 63%, reduced time to deploy security updates by 88%, and resolved up to 80% of endpoint issues before users reported them.*

With this release, Ivanti is delivering on its vision to address the rapid growth and complexity of devices, data, multi-generational remote workforce, and increasing cyber-security threats with hyper-automation. By helping organizations mature from basic automation to a confluence of hyper-automation powered by deep learning capabilities, Ivanti is delivering a self-healing autonomous edge with contextual, anticipatory and personalized experiences for remote workers.

“As remote becomes the next normal, Ivanti Neurons enables organizations to heal and secure devices and deliver a seamless ‘work from anywhere’ employee experience,” said Nayaki Nayyar, EVP and CPO, Ivanti. “Always on and always working, Ivanti Neurons enables IT’s desire to ‘shift-left’ with automation bots that autonomously discover, secure and service endpoints at the edge.”

The new Ivanti Neurons hyper-automation platform offers multiple capabilities for enterprises:

- Ivanti Neurons for Edge Intelligence gives IT the ability to query all edge devices using natural language (NLP) and get real-time intelligence across the enterprise in seconds. It provides quick operational awareness, real-time inventory, and security configurations across the edge leveraging sensor-based architecture.

- Ivanti Neurons for Healing offers an army of automation bots to proactively detect, diagnose, and auto-remediate configuration drift issues, performance issues, compliance issues, and security issues for endpoints. Automation of routine tasks paves the way to creating a truly self-healing environment, reducing time, costs, and improving employee experience.

- Ivanti Neurons for Discovery delivers accurate and actionable asset information in minutes. This provides visibility in real-time using active and passive scanning and third-party connectors. These provide normalized hardware and software inventory data, software usage information and actionable insights to efficiently feed configuration management and asset management databases.

- Ivanti Neurons Workspace provides a 360-degree view of devices, users, applications, and services, with real-time data. This allows first-line analysts to resolve issues previously escalated to specialists. User and device views cut complexity, long wait times and high escalation costs, resulting in faster end user resolution and greater productivity.

Share this

The Latest

September 16, 2021

Achieve more with less. How many of you feel that pressure — or, even worse, hear those words — trickle down from leadership? The reality is that overworked and under-resourced IT departments will only lead to chronic errors, missed deadlines and service assurance failures. After all, we're only human. So what are overburdened IT departments to do? Reduce the human factor. In a word: automate ...

September 15, 2021

On average, data innovators release twice as many products and increase employee productivity at double the rate of organizations with less mature data strategies, according to the State of Data Innovation report from Splunk ...

September 14, 2021

While 90% of respondents believe observability is important and strategic to their business — and 94% believe it to be strategic to their role — just 26% noted mature observability practices within their business, according to the 2021 Observability Forecast ...

September 13, 2021

Let's explore a few of the most prominent app success indicators and how app engineers can shift their development strategy to better meet the needs of today's app users ...

September 09, 2021

Business enterprises aiming at digital transformation or IT companies developing new software applications face challenges in developing eye-catching, robust, fast-loading, mobile-friendly, content-rich, and user-friendly software. However, with increased pressure to reduce costs and save time, business enterprises often give a short shrift to performance testing services ...

September 08, 2021

DevOps, SRE and other operations teams use observability solutions with AIOps to ingest and normalize data to get visibility into tech stacks from a centralized system, reduce noise and understand the data's context for quicker mean time to recovery (MTTR). With AI using these processes to produce actionable insights, teams are free to spend more time innovating and providing superior service assurance. Let's explore AI's role in ingestion and normalization, and then dive into correlation and deduplication too ...

September 07, 2021

As we look into the future direction of observability, we are paying attention to the rise of artificial intelligence, machine learning, security, and more. I asked top industry experts — DevOps Institute Ambassadors — to offer their predictions for the future of observability. The following are 10 predictions ...

September 01, 2021

One thing is certain: The hybrid workplace, a term we helped define in early 2020, with its human-centric work design, is the future. However, this new hybrid work flexibility does not come without its costs. According to Microsoft ... weekly meeting times for MS Teams users increased 148%, between February 2020 and February 2021 they saw a 40 billion increase in the number of emails, weekly per person team chats is up 45% (and climbing), and people working on Office Docs increased by 66%. This speaks to the need to further optimize remote interactions to avoid burnout ...

August 31, 2021

Here's how it happens: You're deploying a new technology, thinking everything's going smoothly, when the alerts start coming in. Your rollout has hit a snag. Whole groups of users are complaining about poor performance on their devices. Some can't access applications at all. You've now blown your service-level agreement (SLA). You might have just introduced a new security vulnerability. In the worst case, your big expensive product launch has missed the mark altogether. "How did this happen?" you're asking yourself. "Didn't we test everything before we deployed?" ...

August 30, 2021

The Fastly outage in June 2021 showed how one inconspicuous coding error can cause worldwide chaos. A single Fastly customer making a legitimate configuration change, triggered a hidden bug that sent half of the internet offline, including web giants like Amazon and Reddit. Ultimately, this incident illustrates why organizations must test their software in production ...