Skip to main content

ManageEngine Adds Antivirus Capability to Endpoint Central

ManageEngine, the enterprise IT management division of Zoho Corporation, announced the addition of the next-generation antivirus (NGAV) capability in its unified endpoint management (UEM) solution, Endpoint Central, positioning it as an endpoint protection platform (EPP). In today's cyber environment, NGAV is crucial to addressing the loopholes left undetected by traditional antivirus solutions. Endpoint Central's NGAV leverages a deep learning model implemented with neural networks in combination with behavioral detection to detect both known and unknown threats, including those with previously unseen attack patterns. It offers edge-AI-based, real-time protection and offline capabilities by carrying out monitoring, analyses and remediation workflows locally on the device. "Endpoints have been one of the most utilized threat vectors by cybercriminals for quite some time now," said Mathivanan Venkatachalam, vice president of ManageEngine. "Over the last decade, we have been consistently adding endpoint security capabilities like vulnerability assessment and remediation, browser security, endpoint privilege management, data leakage prevention and anti-ransomware, helping organizations minimize the attack surface. With the release of the NGAV capability, we are adding AI-based malware protection to Endpoint Central, rounding it off as an EPP, thereby providing customers with a holistic cyber defense approach."

Benefits of Endpoint Central's NGAV

Endpoint Central uses a single, lightweight agent for its wide range of high-stakes capabilities like device life cycle management, remote troubleshooting, user experience management and endpoint security. Apart from reducing organizations' IT footprints, this unified approach offers: - A wide scope for remediation policies: Security teams can apply necessary patches, quarantine affected devices from the internet and intranet, force login credential resets, revert devices to their IT-approved baseline versions and remove vulnerable applications. - Seamless incident investigation: Built-in remote troubleshooting and system management capabilities offer instant and thorough incident investigation of quarantined devices. - Feedback loops for bolstering the security posture: Security policies can be continuously updated based on threats detected by the NGAV engine, constantly enhancing the cybersecurity posture. ManageEngine has been in the IT management market for over 20 years and has built a strong foundation of IT management and security capabilities from the ground up. The NGAV addition to Endpoint Central is a move to strengthen endpoint security within the company's comprehensive portfolio of cybersecurity solutions. "We aim to offer an AI-powered, unified, end-to-end platform for the digital enterprise in which cyber resilience is of paramount importance," added Venkatachalam. "The platform will enable customers to devise and implement a comprehensive security strategy by building workflows across multiple ManageEngine security offerings, automating threat detection, threat responses and incident investigation."

The Latest

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...

When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...

ManageEngine Adds Antivirus Capability to Endpoint Central

ManageEngine, the enterprise IT management division of Zoho Corporation, announced the addition of the next-generation antivirus (NGAV) capability in its unified endpoint management (UEM) solution, Endpoint Central, positioning it as an endpoint protection platform (EPP). In today's cyber environment, NGAV is crucial to addressing the loopholes left undetected by traditional antivirus solutions. Endpoint Central's NGAV leverages a deep learning model implemented with neural networks in combination with behavioral detection to detect both known and unknown threats, including those with previously unseen attack patterns. It offers edge-AI-based, real-time protection and offline capabilities by carrying out monitoring, analyses and remediation workflows locally on the device. "Endpoints have been one of the most utilized threat vectors by cybercriminals for quite some time now," said Mathivanan Venkatachalam, vice president of ManageEngine. "Over the last decade, we have been consistently adding endpoint security capabilities like vulnerability assessment and remediation, browser security, endpoint privilege management, data leakage prevention and anti-ransomware, helping organizations minimize the attack surface. With the release of the NGAV capability, we are adding AI-based malware protection to Endpoint Central, rounding it off as an EPP, thereby providing customers with a holistic cyber defense approach."

Benefits of Endpoint Central's NGAV

Endpoint Central uses a single, lightweight agent for its wide range of high-stakes capabilities like device life cycle management, remote troubleshooting, user experience management and endpoint security. Apart from reducing organizations' IT footprints, this unified approach offers: - A wide scope for remediation policies: Security teams can apply necessary patches, quarantine affected devices from the internet and intranet, force login credential resets, revert devices to their IT-approved baseline versions and remove vulnerable applications. - Seamless incident investigation: Built-in remote troubleshooting and system management capabilities offer instant and thorough incident investigation of quarantined devices. - Feedback loops for bolstering the security posture: Security policies can be continuously updated based on threats detected by the NGAV engine, constantly enhancing the cybersecurity posture. ManageEngine has been in the IT management market for over 20 years and has built a strong foundation of IT management and security capabilities from the ground up. The NGAV addition to Endpoint Central is a move to strengthen endpoint security within the company's comprehensive portfolio of cybersecurity solutions. "We aim to offer an AI-powered, unified, end-to-end platform for the digital enterprise in which cyber resilience is of paramount importance," added Venkatachalam. "The platform will enable customers to devise and implement a comprehensive security strategy by building workflows across multiple ManageEngine security offerings, automating threat detection, threat responses and incident investigation."

The Latest

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...

When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...