Ivanti Bots: AI and Automation at Work

With advanced AI and automation, Ivanti bots are revolutionizing how these industries operate. These tools resolve issues quickly and deliver data-driven insights to reduce ticket volumes and MTTR. By automating routine tasks, bots give these teams time to focus on critical initiatives, enhancing efficiency and user satisfaction.  

This white paper explores how Ivanti bots are transforming IT operations for a more efficient future. 

The bot basics  

Bots combine AI-powered detection and decision-making with automated actions to deliver self-healing endpoint management. This reduces IT workload and improves user experience. Bots also proactively:  

• Identify and fix endpoint issues before they affect users. 
• Handle user requests via chat or automation, reducing service desk tickets. 
• Automatically detect and remediate security threats.  

Have an issue? There’s probably a bot for that — explore our Bot Library to learn more about Ivanti bots and how they can give you and your team valuable time back via automated IT and security management. 

SouthStar Bank, for example, is shifting left with bots and leveraging Neurons to take tasks off its IT team's plate.  SVP/Director of IT of Southstar, Jesse Miller, uses bots to handle tasks like automatically detecting and fixing drives that aren’t mapping to a server so that users don’t have to create an IT ticket to get it resolved (because they didn’t even know there was a disruption to begin with). This saves time and money, reduces IT tickets and strain and improves the overall experience for both users and IT. 

AI that augments your IT workflows 

Bots free up valuable IT time by automating issue resolution, delivering data-driven insights, reducing tickets and improving user satisfaction — enhancing IT from all angles.  Let’s take a more granular look at some of the efficiency gains Ivanti bots bring to your organization. 

Intelligent monitoring and insight generation 

Machine Learning (ML) models continuously scan endpoints for anomalies, such as abnormal CPU, memory or disk consumption, crashes and other operational issues. These are factored into the Digital Experience (DEX) score, which quantifies device health and user satisfaction. 

Natural Language Processing (NLP) enables intuitive management: analysts can use ordinary commands like “show devices with high CPU usage” and quickly get actionable lists/summaries. Social Trending Score leverages AI to monitor public forums for early warning signs (such as problems with patch bulletins), helping IT teams stay ahead of emerging risks. 

Automated detection and diagnosis

Via the DEX score, bots use ML-driven anomaly detection to flag unusual patterns and root causes across endpoints. AI Diagnostics bridges the Level 1 skills gap by allowing analysts (even those with limited technical expertise) to enter natural language symptoms (e.g., “device running hot”). The AI translates these into probable technical causes using advanced device sensors and specialized language models.

The system generates a severity-based priority score (out of 10) and detailed diagnostic summary, ensuring high-priority issues (>9) surface for rapid response without manual escalation. 

Self-healing actions 

Once diagnosed, bots trigger automated remediation workflows (e.g., restarting troubled services, clearing caches, applying registry changes, deploying missing patches) based on predefined best practices and continued ML optimization. 

When you need more tailored intervention, AI PowerShell enables custom PowerShell script creation in real time using plain-language prompts. Powered by Azure OpenAI GPT-4, it automatically maps outputs, handles typecasting and allows safe testing on individual devices, democratizing automation for users without advanced scripting skills. 

Enhancing feedback and service quality 

Bots apply sentiment analysis to ITSM tickets and free-form survey feedback, extracting user frustration and satisfaction signals. These insights influence the DEX score and help prioritize improvement areas. 

Topic modeling clusters and summarizes feedback, while generative AI provides quantitative summaries of qualitative survey data. By taking a human-in-the-loop approach, IT leaders are empowered to quickly grasp user experience trends and take action backed by data. 

Escalation and service desk integration 

While bots can address a large portion of issues, they can’t always fix everything. If bots can’t remediate an issue, they can automatically create service desk tickets packed with context-rich, AI-generated diagnostics, accelerating Level 2/3 resolution. 

Bots bolster security posture 

Ivanti bots extend advanced AI and automation into the security domain, helping teams proactively manage vulnerabilities, strengthen patch management and gain real-time risk insights. 

Patch reliability informed by crowd-sourced sentiment 

Sentiment AI scans public social forums (Reddit, X, etc.) to analyze user feedback on patches and updates. This crowd-sourced Patch Reliability Sentiment identifies problematic releases early (e.g., a Microsoft patch causing widespread device issues) enabling security teams to avoid or roll back unreliable updates before mass deployment. 

Ring deployment with user sentiment survey integration  

During staged (ring) patch rollouts, survey bots gather direct feedback from users in the test group. Generative AI then summarizes these open-ended responses, highlighting actionable sentiment and issue patterns at various levels of detail. This allows security teams to quickly identify negative trends, address failures and adjust deployment plans, ultimately reducing risk and improving patch adoption rates. 

Continuous cyber hygiene monitoring 

Cyber hygiene bots regularly monitor your attack surface all on their own. They continuously scan your environment so you can proactively identify potential gaps in your attack surface and close them accordingly. These bots leverage generative AI summarization, sentiment analysis and topic modeling to perform cyber hygiene tasks like removing stale profiles, identifying and uninstalling unused software, ensuring antivirus compliance and performing security health checks. 

Automated driver/BIOS updates 

Bots manage driver and BIOS updates for major vendors like HP, Dell and Lenovo as part of endpoint hardening. We orchestrate the hardware vendors' own tools, providing a seamless experience. They inventory the hardware, identify necessary updates and automate the rollout process. This minimizes user disruption, closes vulnerabilities and prevents compatibility issues that could weaken security posture. 

Ivanti bots for AI-driven gains in IT and security 

By integrating advanced AI technologies, bots dramatically improve IT resolution speed, empower newer analysts, surface actionable insights and enable organizations to make smarter, data-driven decisions for enhanced IT efficiency. 

Capability	AI used	Automation role
Monitoring	ML anomaly detection NLP Social trending	Continuous telemetry Real-time alerts
Automated diagnosis	AI diagnostics NLP	Ticket creation Workflow selection
Self-healing	ML recommendations AI PowerShell	Script execution Remediation actions
Feedback & quality	Sentiment analysis Generative AI	DEX scoring Summarization
Escalation	Automated context handoff	Service desk ticketing

On the security side, Ivanti bots harness advanced AI to crowd-source patch reliability sentiment, automate deep feedback capture, enhance vulnerability understanding and streamline driver/BIOS updates. This gives Security teams richer insight, tighter control and the agility to respond to emerging risks quickly. 

Security capability	AI feature/technique	Automation role	Security impact
Patch reliability sentiment	Sentiment analysis (X, Reddit)	Aggregation/display in dashboard	Avoid unreliable patches Reduce risk
Ring deployment surveys	Generative AI summarization	Survey distribution Feedback capture	Quicker feedback Safer deployment
Cyber hygiene	Generative AI summarization Sentiment analysis and topic modelling	Continuously and automatically scan and secure attack surface	Reduce vulnerabilities, secure devices Ensure compliance
Driver/BIOS update automation	Vendor matching ML update selection	Hardware inventory Update rollout	Closes endpoint vulnerabilities