A Smarter Way to Stop Threats
Lenovo’s Security Services and ThinkShield use AI to detect anomalies, malware, and intrusions; provide incident response and threat intelligence; and manage vulnerabilities, identities, and access.
Enhanced Speed Response
Rapidly detect and address threats, minimizing security risks and downtime.
Scalability
Easily scale threat management capabilities across evolving infrastructures.
Proactive Defense
Identify, analyze, and stop threats before they impact operations.
Resource Optimization
Boost efficiency by automating routine detection and response tasks.
Our Success Stories
How AI Keeps Companies & People Safe
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Meta
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La Jolla County Day School
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METSAKUUR Inc.
Meta Validates the Integrity of Employee Devices
Global tech giant Meta is working with Lenovo and Intel to simplify and validate the provenance, security, and authenticity of employee devices and also reduce the provisioning burden for Meta’s IT teams.
Zero Trust
Supply Chain Assurance
“By rolling out Lenovo ThinkShield Supply Chain Assurance to more employee devices and moving away from traditional authentication and authorization workflows, we will simplify and improve the efficiency of the entire process.”
Protecting Staff & Students With AI at the Edge
To safeguard students and staff, LJCDS installed an AI-driven threat-detection system at its campus running on the Lenovo ThinkEdge platform that provides 90% accuracy of image analysis and 24/7 monitoring.
83%
Faster response times to events
“AI helps us identify threats much more consistently and efficiently. So, we targeted an IT infrastructure that was powerful enough to support this new technology and cost-effective and energy-efficient enough to be affordable.”
Pushing the Boundaries of Authentication Tech
METSAKUUR Inc. met growing demand for its innovative digital authentication solutions with Lenovo technology that supported the rapid authentication, high accuracy, and strong security that sets it apart from the competition.
Millions
Of users with high availability
“We aim to expand through various customer channels, so it’s vital that our solutions are highly available and secure. Lenovo technology is helping us to exceed customer expectations, so they come back to us, year after year.”
Featured Products
Get Peace of Mind With AI-Powered Security
Be confident your devices and networks are protected from advanced threats before any damage can be done.
Resources
Fortify your technology and data with smarter strategies and advanced protection for all with Lenovo ThinkShield.
Smarter AI-Powered Security for a Resilient Enterprise
Detect. Protect. Respond—Security embedded at every layer.
Endpoint Security in the Age of AI
Secure your organization's future with a strategy that goes beyond risk mitigation to deliver tangible business value.
Empowering Higher Education With Hybrid AI
Prepare for future-ready learning with Lenovo, AMD, and Windows 11 Pro.
Lenovo ThinkShield Build Assure Security Solution
See how customers can electronically verify the integrity of devices as they move through the supply chain.
Reinforcing the Modern Workplace
Learn how to confidently assess and combat AI threats as you transform your digital workplace.
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Frequently Asked Questions
AI security uses artificial intelligence to detect threats, identify anomalies, and manage incidents with greater speed and accuracy. Local data processing enhances privacy by reducing cloud reliance. Layered hardware safeguards and intelligent monitoring strengthen endpoint and network defenses, enabling real-time, secure responses to security events.
AI can prevent phishing attacks with AI-powered email security tools that analyze language patterns, sender reputation, and contextual anomalies to detect phishing attempts before they reach users. To guard against ransomware, AI monitors file behavior and system changes continuously. It can detect encryption patterns typical of ransomware and automatically isolate affected endpoints to stop the spread. Fast incident response is also crucial, so AI-driven platforms offer automated remediation, such as isolating devices, rolling back malicious changes, and restoring systems — often without human intervention. Cyber threats are always evolving, so AI models ingest global threat intelligence and update themselves, adapting to evolving attack techniques and improving detection accuracy over time.
Anomaly detection identifies deviations in system or network behavior that may indicate security risks. This includes monitoring for unusual login times, data access patterns, or network traffic spikes. When combined with threat intelligence and vulnerability management, anomaly detection helps security teams respond quickly, minimizing disruption while maintaining data integrity. Equally important, AI can also reduce false positives in security alerts. AI correlates data across multiple sources and applies context-aware analysis, reducing noise and ensuring security teams focus on genuine threats.
Threat intelligence gathers and analyzes information about potential security risks to help organizations act proactively. AI-powered threat intelligence platforms can prioritize alerts and provide context for decision-making. Lenovo ThinkEdge servers and ThinkPads enable real-time, on-site processing of threat data, supporting industries like health care and finance where rapid analysis and information security are critical.
Machine learning malware detection evaluates file behavior, code structures, and execution patterns to identify suspicious activity without relying on predefined signatures. It adapts to emerging threats by continuously learning from new data.
Vulnerability management identifies, assesses, and mitigates weaknesses across networks, applications, and devices. By prioritizing updates and applying security patches promptly, it reduces the likelihood of exploitation. Integrated into broader cybersecurity solutions, this process is essential for safeguarding sensitive systems and maintaining compliance with industry regulations.
Intelligent detection systems use AI to analyze patterns, detect anomalies, and trigger automated responses to potential threats. They reduce manual investigation, improve accuracy, and ensure incidents are handled consistently according to predefined security protocols. By automating detection and initial response, they help organizations respond faster and more effectively to potential risks.
SOAR (Security Orchestration, Automation, and Response) integrates tools to manage incident response, automate repetitive tasks, and streamline workflows. Paired with AI incident response, it accelerates investigation and resolution.
Access control ensures that only authorized users can view, modify, or manage sensitive data. This may involve role-based permissions, biometric authentication, or multifactor verification.
Deep learning models in cybersecurity identify complex patterns in network traffic and user behavior, enabling more accurate anomaly detection. They are commonly used for continuous monitoring, detecting advanced threats, and enhancing cloud security defenses. By learning from vast datasets, these models adapt to new attack methods and improve detection accuracy over time.
Risk assessment evaluates potential vulnerabilities and their impact, guiding the prioritization of mitigation efforts. When enhanced by AI, this process incorporates AI threat detection and AI threat intelligence to provide data-driven insights.
Yes. Many solutions use on-device AI models that detect and respond to threats even when offline, ensuring continuous protection. AI can also integrate with the tools you already have, since AI-powered extended detection and response (XDR) platforms can aggregate data from endpoints, networks, identity systems, and cloud services, providing a unified view and actionable insights.
