Best Workload Automation Software
Workload automation software automates and schedules repetitive tasks, jobs, and processes within an IT environment to optimize resource utilization and improve overall operational efficiency.
Written by
Alex Zawalnyski
Technical Review by
Laura Iannini
Quick Summary
For workload automation, we recommend ActiveBatch for its event-driven scheduling. Automation triggers fire downstream jobs the moment source data arrives, removing the need for fixed polling intervals.
For SAP-heavy environments, RunMyJobs by Redwood is the strongest option. Native certifications for S/4HANA and BTP let you automate SAP processes without custom connectors that break during upgrades.
For cross-platform orchestration, Stonebranch Workload Automation handles event-driven triggers that launch workflows based on system changes rather than rigid time-based schedules.
Workload automation platforms centralize job scheduling, dependency management, and cross-system orchestration into a single control plane. Without one, operations teams end up tracking batch job dependencies in spreadsheets, investigating failures across disconnected consoles, and manually restarting jobs that should recover on their own.
The market splits into two camps. Enterprise platforms serve organizations running mainframes and thousands of daily jobs where stability and audit trails take priority. Lighter platforms target teams with simpler scheduling needs who want fast deployment without months of configuration. The gap between these tiers is real, and picking the wrong one creates problems in both directions.
We evaluated eight workload automation platforms across on-premises, cloud, and hybrid deployment models, scoring each for ease of deployment, workflow complexity support, integration range, and operational reliability. We also reviewed customer feedback to validate where vendor claims diverge from daily operations. What we found: maturity comes with complexity, and the platforms that handle your entire application portfolio often require dedicated resources to navigate that power effectively.
This guide gives you the framework to identify whether you need enterprise-grade orchestration or whether a lighter, faster-deploying platform serves your actual needs better.
Our Recommendations
We evaluated each platform’s strengths and trade-offs. Here are our top picks:
- Best For Cross-Platform Orchestration: ActiveBatch event-driven automation triggers downstream jobs automatically when source data arrives.
- Best For SAP Integration Depth: RunMyJobs by Redwood offers native SAP certifications for S/4HANA and BTP, keeping your core architecture clean without custom workarounds.
- Best For Event-Driven Scheduling: Stonebranch Workload Automation triggers workflows based on system changes rather than fixed time-based schedules.
- Best For Enterprise Dependency Mapping: BMC Control-M visual dependency mapping shows how systems connect and where delays cascade downstream.
- Best For Multi-Platform SAP Orchestration: Broadcom Automic Workload Automation SAP integration handles critical business processes with dedicated job control and interface monitoring.
RunMyJobs is a SaaS-native workload automation platform built for enterprises running complex ERP environments, particularly SAP. We think it’s one of the strongest options on the market for organizations that need to orchestrate processes across on-premises, cloud, and SaaS environments without managing automation infrastructure themselves. Redwood is the only vendor in this category offering a fully cloud-native SaaS delivery model with guaranteed 99.95% uptime.
RunMyJobs by Redwood Key Features
RunMyJobs provides end-to-end visibility and control by monitoring every automated process from a single point of control. The SAP integration is particularly deep; RunMyJobs is the only workload automation solution included in SAP’s RISE reference architecture, and is SAP Endorsed and Premium certified. Predictive SLA monitoring uses AI-powered insights to identify potential breaches before they impact the business. The Automation Co-pilot provides AI-powered assistance for designing and generating automation workflows, which speeds up development cycles significantly. Integration extends to Splunk, Dynatrace, and SAP Cloud ALM for observability.
What Customers Say
Users praise the platform’s ability to automate complex, time-consuming processes, with strong customer support and continuous updates. Something to be aware of is that several users flag the reporting capabilities as a weak point, with custom reporting requiring familiarity with Redwood’s object models. The user interface can also take time to get comfortable with, and documentation could be more user-friendly. Pricing is on the higher end, which may be a barrier for smaller organizations.
Our Take
We think RunMyJobs makes the most sense for mid-to-large enterprises with SAP-centric environments where the SaaS delivery model eliminates infrastructure overhead. If you’re running complex ERP orchestration across hybrid environments and want predictive SLA tracking with AI-powered development tools, it delivers strong value. The platform handles one-click updates and scaling without downtime, which removes a significant operational burden that on-premises alternatives still carry.
Strengths
- SaaS-native with 99.95% uptime guarantee and one-click updates
- Deepest SAP integration of any workload automation platform, including RISE reference architecture
- Predictive SLA monitoring identifies potential breaches before business impact
- AI-powered Automation Co-pilot speeds up workflow design and scripting
Cautions
- Reviews mention reporting capabilities lack depth and require learning Redwood's object models
- Users report the interface takes time to navigate, especially for new users
ActiveBatch is a workload automation platform designed for enterprises that need to orchestrate processes across a wide range of applications, servers, and cloud services. We think it’s a solid option for IT teams that want low-code workflow development without sacrificing extensibility. ActiveBatch is now part of the Redwood portfolio, which gives it access to broader orchestration capabilities across the Redwood platform.
ActiveBatch Key Features
ActiveBatch’s low-code drag-and-drop GUI lets users build end-to-end workflows without custom scripting, which reduces development time significantly. The platform includes over 100 pre-built job steps and a Super REST API adapter for connecting to virtually any system, application, or data source across on-premises, cloud, and hybrid environments. Event-based triggers go beyond simple time scheduling, reacting to file events, email arrivals, or system changes. Role-based permissions, change management controls, and auto-remediation handle governance requirements for regulated environments.
What Customers Say
Users consistently highlight the drag-and-drop interface as a standout, particularly for teams without deep scripting expertise. The pre-built integrations save significant setup time compared to platforms requiring custom connectors. Something to be aware of is that some users mention the learning curve for advanced features can be steep despite the low-code approach. The platform’s breadth of functionality means teams sometimes discover capabilities they didn’t know existed months after deployment.
Our Take
We think ActiveBatch fits enterprises that need flexible, cross-platform automation without heavy scripting overhead. If your environment spans Windows, Linux, cloud services, and ERP systems and you want a single platform to orchestrate across all of them, it delivers. The low-code approach genuinely reduces development time for standard workflows, while the REST API adapter handles custom integrations when pre-built steps don’t cover your stack.
Strengths
- Low-code drag-and-drop GUI with over 100 pre-built job steps
- Super REST API adapter connects to virtually any system or service
- Event-based triggers react to file events, emails, and system changes
- Auto-remediation handles job failures without manual intervention
Cautions
- Customers note advanced features have a steep learning curve despite low-code approach
- Reviews flag the platform's breadth can be overwhelming during initial deployment
Stonebranch Universal Automation Center (UAC) is a workload automation and orchestration platform built for enterprises managing complex, event-driven processes across hybrid IT environments. We think it’s a strong option for organizations moving away from traditional batch scheduling toward real-time, event-driven automation. Stonebranch has been recognized as a Leader in the 2025 Gartner Magic Quadrant for Service Orchestration and Automation Platforms for the second consecutive year.
Stonebranch Universal Automation Center Key Features
UAC’s event-driven automation launches tasks, jobs, and workflows based on real-time system triggers rather than relying solely on fixed schedules. This is a meaningful advantage for organizations that need to react to changing conditions rather than waiting for the next scheduled batch window. The platform consolidates workload automation, cloud orchestration, and file transfers into a single system. Jobs-as-code and infrastructure-as-code capabilities bridge IT Ops and DevOps teams. AI-powered decision-making optimizes execution and provides real-time observability with alerts and governance controls.
What Customers Say
Users praise the platform’s flexibility for handling complex scheduling requirements and its ability to manage cross-platform workflows effectively. The support team gets positive mentions for responsiveness. Something to be aware of is that some users note the initial setup and configuration can be time-intensive, particularly when migrating from legacy schedulers. The interface has improved over recent versions, but some users find certain administrative tasks require more clicks than expected.
Our Take
We think Stonebranch fits enterprises that need event-driven orchestration across hybrid environments where real-time responsiveness matters more than simple time-based scheduling. The EMA Radar recognized Stonebranch as a Value Leader and honored the platform for Excellence in Event-Driven Orchestration, which aligns with what we see as its core strength. If you’re consolidating multiple scheduling tools into one platform, UAC handles the transition well.
Strengths
- Event-driven automation reacts to real-time triggers, not just fixed schedules
- Consolidates workload automation, cloud orchestration, and file transfers in one platform
- Jobs-as-code and infrastructure-as-code bridge IT Ops and DevOps workflows
- AI-powered execution optimization with real-time observability
Cautions
- Users report initial setup and migration from legacy schedulers can be time-intensive
- Reviews mention some administrative tasks require more navigation than expected
BMC Control-M
BMC Control-M is an application and data workflow orchestration platform built for large enterprises managing mission-critical workloads across mainframe, on-premises, and cloud environments. We were impressed by the platform’s evolution from traditional job scheduling into AI-powered orchestration, and we think it’s one of the strongest options for organizations running complex, regulated environments. Control-M received the overall highest score in the EMA Radar Report for Workload Automation for the eighth consecutive time.
BMC Control-M Key Features
Control-M connects to any application, data source, or critical system, from mainframe to cloud, through a library of over 40 new integrations added in the last 18 months. The AI Workflow Creator acts as a generative AI copilot for guided workflow design, where business users express intent and the AI builds matching workflows. Event-driven capabilities listen to events from Kafka, Amazon SQS, and RabbitMQ to trigger or adjust workflows automatically. New AI integrations cover AWS Bedrock, Google Vertex AI, and Crew AI for orchestrating AI agent workflows. Control-M SaaS holds SOC 2 Type 1 and TX-RAMP certifications for regulated environments.
What Customers Say
Users consistently praise Control-M for handling complex, large-scale environments reliably. The self-service portal and API-driven approach get positive mentions from DevOps teams. Something to be aware of is that pricing sits at the premium end of the market, which can be difficult to justify for smaller organizations. Some users also note that the platform’s depth of functionality means new teams need significant training time to use it effectively.
Our Take
We think Control-M is best suited for large enterprises running mission-critical workloads across hybrid environments where reliability and governance are non-negotiable. The AI-powered workflow creation and event-driven orchestration capabilities represent a genuine step forward from traditional scheduling. If you need to orchestrate AI workloads alongside traditional batch processing and data pipelines, the expanded AI integrations position Control-M well for that use case.
Strengths
- Over 40 new integrations added in the last 18 months across cloud and AI platforms
- AI Workflow Creator provides generative AI-guided workflow design
- Event-driven orchestration listens to Kafka, Amazon SQS, and RabbitMQ
- Highest EMA Radar score for the eighth consecutive time
Cautions
- Customers note premium pricing can be difficult to justify for smaller organizations
- Reviews flag significant training time needed for new teams to use the platform effectively
Broadcom Automic Automation
Broadcom Automic Automation is an enterprise workload automation platform that manages complex workloads across mainframe, on-premises, and multi-cloud environments. We were impressed by the V26 release, which positions Automic as an intelligent control plane for enterprise AI rather than just a traditional job scheduler. This is a meaningful shift in how the platform approaches automation.
Broadcom Automic Automation Key Features
Automic V26 introduces a dedicated agentic AI job type that applies enterprise-grade security, logging, and role-based access controls to AI-driven decision-making within orchestrated workflows. The Model Context Protocol (MCP) integration supports a bring-your-own-model architecture, letting you route general tasks to public models like Claude, Gemini, or OpenAI while keeping sensitive workloads on self-hosted private models, including VMware Private AI. Native Python execution enables engineers to run machine learning models and data pipelines directly without shell-to-Python wrapper scripts. Natural language workflow generation and AI-powered code assist handle script generation and logic optimization. Three governance safeguards cover human-in-the-loop control, retroactive audits of AI decisions, and policy-based governance embedded in workflows.
What Customers Say
Users highlight the platform’s strength in managing complex, multi-system environments with strong automation capabilities. The scheduling and dependency management get consistent praise. Something to be aware of is that some users find the interface dated compared to newer cloud-native competitors, and the learning curve for new administrators can be significant. Licensing complexity under Broadcom’s model is also a recurring theme in user feedback.
Our Take
We think Automic makes the most sense for large enterprises running complex workloads across mainframe and multi-cloud environments who want to start integrating AI-driven automation into their orchestration workflows. The V26 release’s agentic AI capabilities and MCP integration are ahead of most competitors in this space. If you’re already in the Broadcom ecosystem or need strong mainframe-to-cloud orchestration with governance controls, it’s well worth considering.
Strengths
- Agentic AI job type with enterprise-grade security and governance controls
- MCP integration supports bring-your-own-model with public and private AI models
- Native Python execution for ML models and data pipelines
- Natural language workflow generation and AI-powered code assist
Cautions
- Customers note the interface feels dated compared to cloud-native competitors
- Reviews mention licensing complexity under Broadcom's model
JAMS
JAMS is a workload automation and job scheduling platform built for enterprises managing cross-platform processes across Windows, Linux, and cloud environments. We think it’s a solid option for organizations with Microsoft-centric infrastructure who need centralized scheduling with strong SQL Server integration. JAMS is now an independent company following its acquisition from Fortra by PSG and 2ndWave Software in June 2025.
JAMS Key Features
JAMS uses SQL Server as its system of record, storing job definitions, calendars, history, and telemetry. This makes it a natural fit for organizations already running Microsoft infrastructure. The platform handles automation across Windows, Linux, UNIX, IBM i, zOS, and OpenVMS with native application integrations for databases, BI tools, and ERP systems. SQL Server automation extends beyond SQL Server Agent’s native capabilities, with support for scheduling SQL Agent jobs, executing direct SQL commands, and running stored procedures with dependency management. Real-time alerts for job failures or delays, detailed execution logging, and audit trails support compliance requirements.
What Customers Say
Users praise the centralized view of all scheduled jobs across servers and platforms through a single console. The PowerShell and SQL integration gets particular attention from Windows-centric teams. Something to be aware of is that users note the interface hasn’t been modernized as quickly as some competitors, and the platform is most effective in Windows-heavy environments. Some users also mention that cloud-native orchestration capabilities lag behind SaaS-first alternatives.
Our Take
We think JAMS fits enterprises with significant Microsoft infrastructure where SQL Server integration and cross-platform scheduling from a Windows-centric console matter most. The move to independent ownership under PSG and 2ndWave Software should mean more focused product investment going forward. If you’re replacing SQL Server Agent with something more capable or consolidating multiple Windows schedulers, JAMS handles that transition well. For cloud-first organizations, SaaS-native alternatives may be a better fit.
Strengths
- Deep SQL Server integration goes beyond native SQL Server Agent capabilities
- Cross-platform support covers Windows, Linux, UNIX, IBM i, zOS, and OpenVMS
- Centralized single-console view of all scheduled jobs across servers
- Now independently owned with dedicated product investment focus
Cautions
- Users report the interface hasn't been modernized as quickly as competitors
- Cloud-native orchestration capabilities lag behind SaaS-first alternatives
IBM Workload Automation
IBM Workload Automation is an orchestration platform built for enterprises managing complex workflows across mainframe, on-premises, and cloud environments. We think it’s a solid option for organizations with existing IBM infrastructure or those running hybrid environments where mainframe workloads need to integrate with modern cloud services. The platform’s strength is handling cross-platform orchestration at enterprise scale.
IBM Workload Automation Key Features
IBM Workload Automation provides a single point of control for managing automated activities across hybrid environments, with an intuitive interface that includes graphical views, embedded analytics, and customizable dashboards. The platform handles both on-premises and cloud engines from a common UI, which simplifies management for hybrid deployments. Anomaly detection uses AI-powered analysis to identify potential issues in scheduled jobs and workflows before they cause failures. Event-driven and time-dependent scheduling manages both traditional batch processing and real-time triggers. Native support for mainframe workloads alongside cloud orchestration is a differentiator for organizations with legacy infrastructure.
What Customers Say
Users highlight the platform’s reliability for mission-critical workloads and its ability to handle complex dependencies across mainframe and distributed systems. The centralized dashboard gets positive mentions for visibility. Something to be aware of is that some users note the platform’s interface can feel dated compared to newer alternatives, and the learning curve for configuring advanced workflows is significant. Pricing follows IBM’s enterprise model, which can be complex to navigate for mid-sized organizations.
Our Take
We think IBM Workload Automation fits large enterprises with mainframe environments that need to extend orchestration into cloud and hybrid infrastructure. If you’re already running IBM infrastructure and need a platform that handles mainframe batch processing alongside modern cloud workflows, the unified management approach saves significant operational complexity. Organizations without mainframe requirements may find lighter alternatives better suited to their needs.
Strengths
- Unified management of mainframe, on-premises, and cloud workloads from a single UI
- AI-powered anomaly detection identifies potential job failures early
- Strong cross-platform dependency management for complex enterprise workflows
- Native mainframe support alongside modern cloud orchestration
Cautions
- Customers note the interface can feel dated compared to newer cloud-native platforms
- Reviews flag IBM's enterprise pricing model can be complex to navigate
Tidal Automation
Tidal Automation is a workload automation platform focused on enterprise job scheduling, monitoring, and cross-platform orchestration. We think it’s a practical option for organizations that need reliable scheduling with strong SLA management capabilities. Tidal is now part of the Redwood portfolio following its acquisition in 2023, which gives it access to Redwood’s broader automation ecosystem including RunMyJobs and ActiveBatch.
Tidal Automation Key Features
Tidal provides over 40 pre-built integrations for platforms like Azure, Salesforce, and SAP, with a low-code drag-and-drop workflow designer for building automations without scripting. SLA policies can be defined for critical jobs, with real-time monitoring and automated alerting when jobs are at risk of missing targets. The Super REST API adapter and over 100 pre-built job steps extend connectivity across on-premises, cloud, and hybrid environments. Role-based access control handles security requirements, and event-based scheduling supports triggers beyond simple time-based execution.
What Customers Say
Users praise the platform’s task scheduling flexibility and real-time monitoring capabilities. The integration with existing systems gets positive mentions for ease of setup. Something to be aware of is that some users note the interface could be more intuitive, particularly when managing large numbers of jobs. With Tidal now part of the Redwood portfolio alongside RunMyJobs and ActiveBatch, some users have questions about the long-term product roadmap and potential overlap between the three platforms.
Our Take
We think Tidal fits enterprises that need reliable cross-platform scheduling with strong SLA management and don’t require the full depth of RunMyJobs’ SAP integration or ActiveBatch’s low-code development capabilities. The 40-plus pre-built integrations cover most common enterprise platforms, and the SLA monitoring is effective for teams managing time-sensitive workflows. Being part of the Redwood portfolio is a positive for long-term investment, though organizations should clarify the product roadmap relative to RunMyJobs and ActiveBatch before committing.
Strengths
- Over 40 pre-built integrations including Azure, Salesforce, and SAP
- SLA policy management with real-time monitoring and automated alerts
- Low-code drag-and-drop workflow designer with Super REST API adapter
- Part of the Redwood portfolio with access to broader automation ecosystem
Cautions
- Users report the interface could be more intuitive for managing large job volumes
- Product roadmap overlap with RunMyJobs and ActiveBatch raises positioning questions
What To Look For: Workload Automation Checklist
When evaluating workload automation platforms, we’ve identified eight essential criteria that separate tools that actually work from ones that create more operational burden than they solve.
- integration range: How many enterprise applications ship with pre-built connectors? Can it handle your specific mix of mainframe, cloud, and custom systems from one console? Does it support standard protocols like JDBC, REST APIs, and message queues so you’re not building custom adapters?
- Event-Driven Versus Time-Based Scheduling: Does the platform trigger workflows only on fixed time schedules, or can it react to file arrivals, system events, or data conditions? Fixed schedules force conservative timing windows; event-driven automation adapts to actual data flow patterns.
- Dependency Mapping And Visualization: Can you see how jobs connect and where delays cascade downstream? Does the interface make it obvious when one failed job blocks 50 others? Can you identify bottlenecks quickly or do you hunt through logs?
- Deployment And Setup Timeline: Can you get workflows running in weeks or does implementation require months of configuration? Does the vendor offer Professional Services that actually accelerate deployment, or does that just lock you into higher costs?
- Operational Complexity And Learning Curve: Do administrators spend time understanding job logic or troubleshooting interface quirks? Is documentation practical or theoretical? Do you need dedicated resources during implementation or can your existing IT team absorb the tool?
- Audit And Compliance Capabilities: Does every job execution log create an audit trail with timestamps and user attribution? Can you prove to auditors that jobs executed as scheduled? Are logs retained long enough for compliance investigations?
- Support Quality And Responsiveness: When a production job fails at 2 AM, do you get hands on technical help or documentation links? Do support engineers understand the product deeply or do they escalate everything? Check third-party reviews for consistency.
Weight these criteria based on your actual infrastructure. Organizations running thousands of daily jobs benefit from dynamic balancing and dependency management. Teams with simpler scheduling needs may find enterprise-grade complexity counterproductive. SAP environments should prioritize ERP integration depth. Windows-first shops should evaluate PowerShell integration strength.
How We Compared The Best Workload Automation Software
Expert Insights is an independent editorial team that researches, tests, and reviews cybersecurity and IT solutions. No vendor can pay to influence our review of their products. Our Editor’s Scores are based solely on product quality. Before testing, we map the full vendor market for each category, identifying all active vendors from market leaders to emerging challengers.
We evaluated eight workload automation platforms in lab environments simulating enterprise conditions with hybrid infrastructure, cloud workloads, and on premises systems. Each platform was assessed for ease of initial deployment, workflow design capabilities, dependency management, alongside integration range and operational complexity. We built representative workflows covering file transfer automation and cross-platform job orchestration, plus event-driven triggering to understand real-world experience beyond marketing claims.
Beyond hands on testing, we conducted extensive market research and reviewed customer feedback and interviews to validate where vendor claims diverge from operational reality. We spoke with product teams to understand architecture decisions and known limitations. Our editorial and commercial teams operate independently. No vendor can pay to influence our review of their products.
This guide is updated quarterly. For full details on our evaluation process, visit our How We Test & Review Products.
The Bottom Line
Workload automation isn’t one-size-fits-all.
If you’re orchestrating complex dependencies across legacy mainframes and modern cloud platforms, BMC Control-M delivers proven reliability and visual dependency mapping that clarifies how systems connect. Budget for licensing and staff time.
If you need event-driven automation with faster deployment and strong support, ActiveBatch gets workflows running in weeks rather than months.
If you’re running SAP-heavy environments, RunMyJobs provides native S/4HANA and BTP integration that justifies enterprise-scale complexity. Plan upfront to optimize job counts and control per-job billing costs.
If you manage file transfers alongside job orchestration, Stonebranch combines event-driven automation with secure cross-platform file movement. Professional Services helps large migrations succeed.
If Windows infrastructure and PowerShell integration matter, JAMS works natively with your existing scripting practices. The API extensibility supports custom integrations without heavy lifting.
If you need to orchestrate across mainframe, SAP, cloud, and microservices simultaneously, Broadcom Automic handles that the integration range.
For high-volume batch processing with thousands of daily jobs, IBM Workload Automation delivers dynamic load balancing and failover capabilities.
For organizations prioritizing 18+ years of proven stability, Tidal Automation remains reliable despite performance lag.
FAQs
Everything You Need To Know About Workload Automation Software (FAQs)
Workload automation software allows organizations to streamline and improve repetitive and menial tasks through automation. This allows organizations to process vast amounts of data much faster and more effectively than using human processes.
The benefits of workload automation software include:
- Improving efficiency
- Automating manual tasks
- Reducing costs
- Enforcing consistent standards (adhere to SLAs)
- Centralise management processes
Workload automation software works by integrating with technologies within your stack to take the load off your human team. Complex and detail-specific tasks can be carried with a high degree of accuracy by a workload automation platform.
In order to do this, you will need to set the solution up and define what you want to automate. This will involve integrating it with your data sources and tools, then setting parameters and criteria to ensure the solution works as you need it to. You can also schedule how often you want this task to occur; this may be continuous, dependent on criterion, or to a pre-set schedule.
Once your workload automation solution knows what it is supposed to do, it will be able to carry out complex tasks effectively. This enables you to reduce your human related tasks, thereby having knock on impacts on productivity and efficiency.
Whilst your automation workload solution is carrying out its tasks, it will gather and share data relating to tasks and successes. This ensures that you can keep tabs on its effectiveness and make any changes where necessary.
By automating tasks, rather than requiring human input, you reduce the burden on your IT team. This allows them to spend more time focusing on critical tasks that can only be achieved by a human.
Workload Automation software solutions can cover almost any aspect of your organization’s needs. Because of this, it is worth considering what you need from an automation solution, before committing to a solution. Here are some of the most useful features to have as part of a workload automation solution.
- Reporting Capabilities – Gain data from across your automated tasks, ensuring that standards are met, and allowing you to share metrics with relevant users
- Monitoring – Your platform should give you visibility into your network, updating you on status, success, and failures
- Tool Integration – Ensure your platform works with the tools you need and can actually deliver value
- Security Controls – Check that your platform has enough security measures to protect your data and processes
- Event-Based Scheduling – The ability to schedule tasks and processes further reduces the human workload
Written By
Alex is an experienced journalist and content editor. He researches, writes, factchecks and edits articles relating to B2B cyber security and technology solutions, working alongside software experts.
Alex was awarded a First Class MA (Hons) in English and Scottish Literature by the University of Edinburgh.
Technical Review
Laura Iannini is a Cybersecurity Analyst at Expert Insights. With deep cybersecurity knowledge and strong research skills, she leads Expert Insights’ product testing team, conducting thorough tests of product features and in-depth industry analysis to ensure that Expert Insights’ product reviews are definitive and insightful.
Laura also carries out wider analysis of vendor landscapes and industry trends to inform Expert Insights’ enterprise cybersecurity buyers’ guides, covering topics such as security awareness training, cloud backup and recovery, email security, and network monitoring. Prior to working at Expert Insights, Laura worked as a Senior Information Security Engineer at Constant Edge, where she tested cybersecurity solutions, carried out product demos, and provided high-quality ongoing technical support.
Laura holds a Bachelor’s degree in Cybersecurity from the University of West Florida.