What Is Endpoint Protection?

Endpoint protection is the practice of securing end-user devices and servers that connect to an organization's network against malware, ransomware, exploits and unauthorized access. An endpoint protection platform (EPP) delivers this capability, typically through a lightweight agent installed on each device and a central console that sets policy, collects telemetry and reports device status. 

Modern endpoint protection goes beyond signature-based scanning. It combines next-generation antivirus, behavioral analysis, exploit prevention, device encryption, application control and integration with identity systems, so access decisions reflect device health. Because most work data now lives in cloud services and syncs to the device, the endpoint is where identity, data and applications converge. That makes endpoint protection a core part of any cybersecurity program. 

What Counts As An Endpoint, Including AI PCs 

An endpoint is any device that runs code and communicates with the corporate network or cloud services. Common categories include:

• Desktops and laptops running Windows, macOS or Linux 
• Smartphones and tablets, both corporate-owned and bring your own device (BYOD) 
• Physical servers, virtual machines and cloud workloads 
• Point-of-sale terminals, IoT sensors and operational technology 
• AI PCs with neural processing units (NPUs) that run language models and AI assistants locally  

Endpoints Are The Front Door To Cloud Identity 

Hybrid work moved the security perimeter to the device. Users sign in to Microsoft 365, Google Workspace and Salesforce from home networks, personal phones and shared machines. A single compromised device can expose session tokens and cached credentials for every service the user can reach, which is why endpoint controls and identity and access management must work together. 

Threat data confirms the pattern. Phishing was the dominant intrusion vector in roughly 60% of the incidents analyzed by the European Union Agency for Cybersecurity, and vulnerability exploitation accounted for 21.3% of initial access, according to the ENISA Threat Landscape 2025 report. Both vectors typically land on an endpoint first. 

Unmanaged Devices And Infostealer Malware 

Credential theft often starts with infostealer malware on a device the security team does not manage. Verizon's 2025 Data Breach Investigations Report found that 30% of compromised systems in infostealer credential logs were enterprise-licensed devices, while 46% of systems holding corporate logins were non-managed devices. Endpoint protection that stops at company-owned laptops leaves a large share of real exposure uncovered. 

Most endpoint security guidance focuses only on stopping attacks. A complete endpoint protection strategy has three layers, and each answers a different operational question. 

Layer 1: Prevent And Detect With EPP And EDR 

The first layer blocks and investigates threats. EPP prevents malware, fileless attacks and exploits before they run. EDR continuously records process, file, registry and network activity so analysts can detect suspicious behavior, trace the root cause and isolate a device from the network. 

Layer 2: Configure And Prove Device Compliance 

The second layer keeps devices configured the way policy requires. This includes encryption with BitLocker or FileVault, operating system and application patch levels, firewall settings, compliance baselines and conditional access rules. Security teams also need evidence: reports that show which devices met the baseline, which drifted and when each issue was corrected. Auditors and regulators increasingly ask for this proof, not just a written policy. 

Layer 3: Recover With Endpoint Backup 

The third layer restores what an incident destroys. Endpoint backup protects files stored locally, while SaaS backup protects the OneDrive, SharePoint, Teams and Google Drive content that syncs to the device. If ransomware encrypts a synced folder, the encrypted versions replicate to the cloud, so recovery depends on an independent, immutable copy taken before the attack. This layer connects endpoint protection to broader cyber resilience planning. 

Table 1. The Three-Layer Endpoint Protection Model 

EPP Vs. EDR: Prevention Vs. Investigation 

EPP is preventive. It decides whether a file or process should run and blocks it if it looks malicious. Endpoint detection and response (EDR) is investigative. It assumes some attacks will bypass prevention, so it records activity, raises alerts on suspicious behavior and gives responders tools to hunt, contain and remediate threats. Many enterprise products now combine EPP and EDR in a single agent, but the functions remain distinct. 

EDR Vs. XDR Vs. MDR 

Extended detection and response (XDR) correlates endpoint telemetry with email, identity, network and cloud signals to give a wider view of an attack. Managed detection and response (MDR) is a service rather than a product: a provider's analysts monitor and respond using EDR or XDR tools on the customer's behalf. 

Where Unified Endpoint Management (UEM) Fits 

UEM tools such as Microsoft Intune enroll devices, push configuration profiles, deploy apps and enforce compliance policies across Windows, macOS, iOS and Android. UEM does not detect malware on its own, but it supplies the configuration and compliance layer that EPP and EDR depend on. 

Table 2. Endpoint Security Approaches Compared 

In Microsoft environments, Microsoft Defender for Endpoint provides EPP and EDR, while Microsoft Intune provides UEM, compliance policies and security baselines. Conditional access in Microsoft Entra ID uses Intune compliance status to decide whether a device can open Microsoft 365 data. 

Configuration Drift: Why Day-One Baselines Decay 

Baselines degrade over time. Administrators create exceptions, users gain local admin rights, policies conflict and new devices enroll with incomplete profiles. In organizations that run multiple Microsoft 365 tenants, inconsistent policies across tenants compound the problem. Regular drift detection and correction, with a record of each change, keeps the compliance layer accurate and supports operational governance. 

Why Wiping A Device Is Not Data Recovery 

Remote wipe is a security control. It removes corporate data from a lost or compromised device, but it does not restore that data. Under the shared responsibility model, the customer remains accountable for its own information, including recovery from accidental deletion, malicious deletion and ransomware encryption that syncs back to OneDrive or SharePoint. Native retention features help, but they are not designed to serve as an independent, point-in-time cloud backup. 

AI changes both what runs on the endpoint and what it can do. Endpoint protection programs need to account for two shifts. 

AI PCs And On-Device Models 

AI PCs run language models locally on NPUs. Local inference keeps some data off the cloud, but it also creates new assets to protect, including model files, prompt histories, indexed screen content and local vector stores. Endpoint policies should define which local AI features are allowed, where their data is stored and whether it is encrypted. 

AI Assistants And Agents Acting With User Permissions 

AI assistants such as Microsoft 365 Copilot and autonomous agents increasingly take actions instead of only answering questions. An agent running on or from a device can read files, send messages and call APIs with the signed-in user's permissions or with its own non-human identity. That makes prompt injection a device-level risk, because hidden instructions in a document or webpage can direct an agent to exfiltrate data. Protecting AI on the endpoint requires an inventory of agents and their identities, least-privilege access, activity monitoring and the ability to roll back what an agent changed. These controls align with Zero Trust for AI and AI agent management practices. 

Endpoint protection is strongest when prevention, configuration and recovery work together. AvePoint is not an EPP or EDR vendor and does not replace Microsoft Defender or other detection tools. Instead, AvePoint completes the second and third layers of the model. 

AvePoint Elements helps IT teams manage and secure users and devices at scale by enforcing Intune policies, encryption and compliance baselines, detecting and correcting drift, and producing audit-ready reports across tenants. That helps organizations turn policy into evidence auditors and boards accept. AvePoint Cloud Backup provides granular, immutable backup and restore for the Microsoft 365, Google Workspace and Salesforce data that syncs to every device, so teams can recover any asset, whether data, infrastructure or agent, when it matters. 

Delivered on the AvePoint Confidence Platform from AvePoint, the AI Trust Company, these capabilities extend 25 years of data protection experience across your entire AI estate. The result: innovation scales without scaling risk, and enterprises can deploy AI with confidence.