
ManageEngine Enhances AD360 With Risk Exposure Management and Local User MFA Features to Strengthen Identity Threat Defenses
Identity risk exposure management: Graph based analysis maps lateral movement and privilege escalation paths in Active Directory (AD), automatically prioritizing risky configurations and recommending remediation steps. The graph engine models AD objects as nodes and privilege inheritance as lines, revealing multi step attack chains in real time, with actionable suggestions that IT teams can implement to close exposed paths. Local user MFA: This feature extends adaptive MFA to local accounts on non domain joined servers, DMZ assets, and test environments, thwarting credential stuffing and persistence techniques. ML driven access recommendations: During provisioning and access review campaigns, machine learning analyzes permission patterns and suggests adjustments to implement least privilege access, helping prevent excess entitlements.Additionally, ManageEngine has enhanced AD360's access certification module, which now includes expanded entitlements for comprehensive review coverage, and the risk assessment capabilities feature new indicators for improved identity risk monitoring across AD and Microsoft 365 environments. These enhancements are designed to streamline compliance reporting and strengthen access governance across the enterprise. The new capabilities support NIST SP 800-207 on Zero Trust architecture, align with PCI DSS Version 4.0 Requirement 8, and facilitate SOX, HIPAA, and GDPR controls.
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Syyaha
4 days ago
- Syyaha
ManageEngine Enhances AD360 With Risk Exposure Management and Local User MFA Features to Strengthen Identity Threat Defenses
RIYADH, Saudi Arabia – 23 July, 2025 — ManageEngine, a division of Zoho Corporation and a leading provider of enterprise IT management solutions, today announced the general availability of identity risk exposure management and local user MFA features in AD360, its converged identity and access management (IAM) platform. The release enables security teams to detect privilege escalation risks and secure unmanaged local accounts, two common identity attack vectors that attackers continue to exploit at remains the primary attack vector in modern enterprises, as shown by Verizon's 2025 Data Breach Investigations Report, which found that credential abuse was the initial access vector in 22 % of breaches. The report also highlighted widespread abuse of poorly managed local accounts and privilege paths across over 12,000 confirmed breaches.'With this release, ManageEngine AD360 moves beyond traditional IAM by embedding identity threat defenses into core identity operations. By turning identity data into actionable security insights, we're helping customers make IAM the first line of defense, not a check box,' said Manikandan Thangaraj, vice president of most IAM tools focus on provisioning and policy enforcement, AD360 adds risk exposure mapping via attack path analysis as well as local MFA enforcement, helping enterprises close attack paths that often go undetected. This marks a key step in identity management evolving from an access control layer into an active security Capabilities Identity risk exposure management: Graph based analysis maps lateral movement and privilege escalation paths in Active Directory (AD), automatically prioritizing risky configurations and recommending remediation steps. The graph engine models AD objects as nodes and privilege inheritance as lines, revealing multi step attack chains in real time, with actionable suggestions that IT teams can implement to close exposed paths. Local user MFA: This feature extends adaptive MFA to local accounts on non domain joined servers, DMZ assets, and test environments, thwarting credential stuffing and persistence techniques. ML driven access recommendations: During provisioning and access review campaigns, machine learning analyzes permission patterns and suggests adjustments to implement least privilege access, helping prevent excess ManageEngine has enhanced AD360's access certification module, which now includes expanded entitlements for comprehensive review coverage, and the risk assessment capabilities feature new indicators for improved identity risk monitoring across AD and Microsoft 365 environments. These enhancements are designed to streamline compliance reporting and strengthen access governance across the enterprise. The new capabilities support NIST SP 800-207 on Zero Trust architecture, align with PCI DSS Version 4.0 Requirement 8, and facilitate SOX, HIPAA, and GDPR controls. The post ManageEngine Enhances AD360 With Risk Exposure Management and Local User MFA Features to Strengthen Identity Threat Defenses appeared first on سياحة.


Syyaha
25-06-2025
- Syyaha
ManageEngine Launches MSP Central: A Platform Built for Strengthening Modern MSP Infrastructure
RIYADH, Saudi Arabia – 25th June, 2025 — ManageEngine, a division of Zoho Corporation and a leading provider of enterprise IT management solutions, today announced the launch of MSP Central—a unified platform designed to help MSPs streamline service delivery, device management, threat protection, and infrastructure monitoring from a single focuses on addressing specific operational models and business challenges of MSPs, developing tools that support multi-client environments, technician efficiency, and service scalability. MSP Central brings together these capabilities into a unified platform tailored to how MSPs deliver and manage IT services today. Meeting the Evolving Needs of MSPs With the global managed services market projected to reach $511 billion by 2029, MSPs are facing mounting pressure to scale operations without compromising service quality so as to offer a strategic value to customers and differentiate from the competition.'We had technicians switching between multiple consoles just to resolve a single client incident—a real drag on time and ticket volume,' said Edgar Martínez, business manager at 'EvolutionIT' from Chile, an early adopter of MSP Central. 'We were looking for a tool that could bring together everything our team needs without adding complexity or locking us into a rigid stack.' MSP Central directly addresses this fragmentation by offering a unified platform to manage day-to-day operations across clients—from technician workflows and asset visibility to endpoint protection and network health monitoring. Its modular, cloud-native architecture supports native multi-tenancy, fine-grained role-based access control, and seamless integrations with both Zoho apps and third-party tools. This gives MSPs the flexibility to adopt only the modules they need and expand at their own pace. Features Designed to Support MSP Operations 'With MSP Central, we're bringing together the best of ManageEngine's proven IT management and security capabilities in a platform designed from the ground up for MSPs,' said Mathivanan Venkatachalam, vice president at ManageEngine. 'While each of these modules stands strong on its own, together they form a truly unified platform—delivering a single, connected experience for service providers. This approach lets MSPs consolidate their operations, eliminate tool sprawl, and enable their teams to work more efficiently and effectively—all from a unified console.' The platform includes the following capabilities: Modular architecture: Adopt only the components required—no bundling or mandatory licensing. Remote monitoring and management (RMM): Manage devices across clients with patching, asset visibility, and proactive remediation in a multi-tenant setup. Professional services automation (PSA): Integrate ticketing, contract management, SLAs, time tracking, and billing in a unified workflow. Advanced server monitoring: Monitor infrastructure across Windows, Linux, databases, and virtual systems with automated alerts and deep metrics. Endpoint security: Provide comprehensive protection against evolving cyberthreats with vulnerability management, device and application control, anti-ransomware, and browser security. AI-powered automation: Accelerate workflows with ticket summarization, sentiment detection, alert correlation, and predictive thresholds. Third-party integrations: Connect seamlessly with over 20 tools across IT, security and business ecosystems via open APIs and pre-built connectors. Marketplace ready: Built for integration into cloud marketplaces and partner ecosystems. Looking AheadMSP Central marks the foundation of ManageEngine's long-term MSP platform strategy, which supports the full spectrum of managed services. Future enhancements will focus on expanding into adjacent domains like SIEM, privileged access management, and advanced analytics, helping MSPs and MSSPs manage security and compliance alongside operations. The platform will also evolve to support deeper integrations with business applications and partner ecosystems, empowering providers to streamline service delivery end to end.'Our goal is to give MSPs a platform that adapts to their growth, supports their preferred tools, and eliminates the friction of fragmented systems. We're starting with RMM, PSA, and advanced server monitoring, but this is just the beginning. Our vision is to bring all of ManageEngine's standalone MSP tools together under this platform, delivering depth, flexibility, and scalability that helps providers grow alongside their clients' needs. MSP Central is designed to support MSPs for the long haul,' added and AvailabilityMSP Central is available globally starting today. The platform supports flexible modular pricing so MSPs can pay for only what they need. Start your free trial now at:


Syyaha
11-06-2025
- Syyaha
The transparency imperative: Why AIOps must lead tech's net-zero accountability movement
BY Mr. Bharani Kumar Kulasekaran, Director of Technology, ManageEngine The tech industry's grand promises about AI and sustainability have hit a wall. While organizations trumpet AI solutions for climate change, the technology itself consumes a staggering amount of energy. According to the International Energy Agency, data centers, AI, and cryptocurrency collectively consumed 460 terawatt-hours (TWh) of electricity in 2022—about 2% of global demand. By 2026, this number is expected to more than double to 1,000 TWh, surpassing the annual electricity consumption of entire countries like Germany or Japan. This situation has led to growing scrutiny, with some questioning whether AI's sustainability efforts genuinely reduce environmental impact or merely serve as a strategic narrative for organizations keen on PR. But amid this crisis of credibility, a solution is emerging from an unexpected quarter: artificial intelligence for IT operations (AIOps). By embedding real-time carbon tracking and automated optimization directly into IT infrastructure, AIOps is transforming sustainability from a marketing buzzword into a measurable metric. For the first time, companies can't just claim their AI is green—they have to prove hidden cost of green AIBeyond the staggering electricity consumption, the true environmental cost of AI extends deeper into our infrastructure. Each new breakthrough in AI capability demands more powerful hardware, more extensive training runs, and more complex deployments. The demand for bigger AI models has intensified a global chip shortage, caused by supply chain problems, energy demands of large-scale computing, and geopolitical issues. Even cloud providers' claims of running on renewable energy often mask the reality that peak AI workloads force them to fall back on fossil fuel sources during high-demand gap between intention and impact underscores a systemic issue: without tools to measure, verify, and mitigate AI's footprint, even well-meaning initiatives become performative. A prime example is Saudi Arabia, where a SAR 92.90 billion (USD 24.8 billion) investment in digital infrastructure since 2017 has fueled explosive growth in data centers and cloud services. This rapid expansion has brought energy efficiency and carbon tracking to the forefront of national priorities, highlighting the urgent need for robust measurement and mitigation solutions. AIOps: A bridge between promises and progress AIOps platforms, originally designed to streamline IT operations, are evolving into indispensable tools for climate accountability. By integrating environmental metrics into their analytics, these systems offer three transformative capabilities:● Real-time carbon tracking: Modern AIOps platforms monitor emissions at the workload level, providing granular insights into which applications, processes, or services are the most carbon-intensive. They integrate with energy meters, cloud providers, and hardware sensors to calculate emissions using industry-standard models like the Greenhouse Gas Protocol. This allows businesses to take immediate action, such as dynamically adjusting resource allocation, shifting workloads to renewable energy-powered data centers, or implementing low-power operation modes outside of peak hours. Reflecting this technological potential at a broader scale, Saudi Arabia's Saudi Green Initiative drives more than 85 initiatives focused on smart infrastructure and emissions reduction, targeting a substantial 278 million tonne annual cut in carbon emissions by 2030, underscoring the power of data-driven sustainability strategies.● Automated carbon offsetting: Beyond diagnostics, AIOps can trigger actions. While fully automated carbon offset purchasing remains an aspiration, current platforms provide sophisticated emissions tracking that facilitates strategic offset decisions. Microsoft's Azure Emissions Impact Dashboard and Google Cloud's Carbon Footprint tool represent early steps in this evolution, offering detailed emissions data that companies can use to guide their offset strategies. These tools enable organizations to understand their carbon footprint in near real time, though manual intervention is still required for offset purchases. Microsoft's pledge to be carbon negative by 2030 exemplifies how companies can use these insights to drive comprehensive sustainability strategies.● Code-level efficiency audits: AIOps tools analyze software for energy inefficiencies, flagging resource-heavy code that consumes excessive computing power. These systems can detect poorly optimized algorithms, redundant loops, or inefficient database queries, helping developers refine their applications for sustainability. For example, Microsoft CodeCarbon analyzes code for energy-draining patterns and provides developers with actionable integrating tools like this into the DevOps pipeline, companies can ensure that sustainability becomes a core consideration in every stage of software transparency mandate For AIOps to legitimize the tech industry's climate efforts, companies should adopt radical transparency. This starts with disclosing the energy use of AIOps platforms themselves—after all, if the tool meant to reduce emissions consumes excessive energy, it becomes part of the problem. Providers should publish third-party audits to verify their systems' efficiency and environmental impact. Additionally, demystifying algorithms is critical; black box tools erode trust, so adopting open-source frameworks or explainable AI (XAI) principles ensures stakeholders understand how decisions—like carbon offset purchases—are while automation is powerful, human oversight remains essential. Teams should review AIOps recommendations to ensure they align with both environmental goals and operational realities, striking a balance between efficiency and ethics. Without these steps, AIOps risks becoming another layer of opacity in the fight for sustainability. How organizations can incorporate AIOps into IT sustainability practices ● Assessing current IT carbon footprint: Conduct a comprehensive sustainability audit to identify high-energy consumption areas and set benchmarks for improvement.● Implementing AIOps tools: Choose AIOps platforms with built-in carbon tracking, intelligent workload optimization, and automated offset capabilities to streamline energy efficiency efforts.● Setting clear sustainability goals: Define quantifiable emissions reduction targets that align with overall IT strategy and environmental policies.● Monitoring and adapting: Continuously analyze AIOps insights to refine policies, optimize energy use, and integrate sustainability best practices across IT operations.● Ensuring transparency and compliance: Regularly publish detailed sustainability reports, ensure compliance with global environmental regulations, and communicate progress to role of ManageEngine in advancing sustainable AIOpsThe path forward is clear: organizations must move beyond treating environmental impact as a marketing exercise and embed sustainability into their operational DNA. AIOps provides the framework for this transformation—but success demands tools that go beyond optimization to deliver real like ManageEngine are leading by example. By combining intelligent automation with deep observability, ManageEngine's AIOps platforms empower IT teams to right-size workloads, prevent resource sprawl, scale infrastructure in line with demand, and proactively resolve issues that waste energy. These capabilities not only enhance operational efficiency but also help reduce emissions at becomes especially critical in data centre environments, where high energy consumption and operational inefficiencies can drive up both costs and carbon emissions. Ensuring sustainable operations in these settings require strict adherence to thermal best practices—most notably, the ASHRAE (American Society of Heating, Refrigerating and Air-Conditioning Engineers) guidelines. ManageEngine's AIOps tools support this effort by continuously monitoring key environmental and infrastructure metrics such as temperature, Power Usage Effectiveness (PUE), server utilization rates, airflow, and more. When anomalies arise—whether it's a temperature hotspot, abnormal power draw, or an inefficient cooling pattern—the system can automatically trigger remediation workflows to resolve the issue. Through actionable insights, innovative tools, and a commitment to transparency, ManageEngine enables businesses to align IT operations with global net-zero goals. Its AIOps solutions make sustainability a measurable, achievable priority—bridging the gap between technological advancement and environmental accountability.