10 AIOps Platforms to Use for Cybersecurity and Threat Defense

As cyber threats grow more sophisticated and relentless, traditional security tools are struggling to keep up. Modern IT environments are complex, distributed, and generate massive volumes of data, making it nearly impossible for human teams alone to detect and respond to threats in real time.

According to reports by Cybersecurity Ventures, cybercrime is expected to cost the world $10.5 trillion annually by 2025.

This growing cybersecurity risk calls for smarter, faster, and more scalable solutions. That’s where AIOps (Artificial Intelligence for IT Operations) steps in. These platforms use machine learning, automation, and big data analytics to detect anomalies, predict issues, and stop attacks before they can do serious damage.

Let’s explore 10 leading AIOps platforms that are transforming cybersecurity and threat detection.

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What is an AIOps Platform?

An AIOps platform (Artificial Intelligence for IT Operations) is a modern tool that helps IT teams manage their systems using AI and machine learning. It takes in large amounts of data from across your IT environment and uses it to detect problems, fix issues automatically, and keep everything running smoothly.

Unlike old-school monitoring tools that depend on manual checks and fixed rules, AIOps platforms learn from past data and adjust as things change. This makes them perfect for today’s fast-moving, cloud-based environments where issues can pop up quickly and unpredictably.

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How AIOps Platforms Work?

AIOps platforms operate by collecting and analyzing vast amounts of IT telemetry data—logs, metrics, events, traces—from various sources such as servers, cloud platforms, applications, and networks.

Here’s how they work in detail:

• Data Collection & Aggregation: The platform ingests data from across the tech stack—databases, monitoring tools, cloud environments, etc.
• Noise Reduction & Event Correlation: Using machine learning, it filters out redundant alerts (false positives) and correlates related events to pinpoint actual problems.
• Anomaly Detection: It identifies patterns and deviations from normal behavior to flag potential issues before they affect users.
• Root Cause Analysis: AIOps platforms speed up troubleshooting by automatically identifying the most likely source of the problem.
• Automated Remediation: Some of the best AIOps platforms can trigger workflows (e.g., restart a service, scale up resources, alert the right team) to fix issues without human intervention.

This real-time intelligence and automation reduce mean time to detect (MTTD) and mean time to resolve (MTTR), making AIOps essential for modern IT teams.

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Why Should You Use AIOps Platforms?

Modern IT environments are complex, fast-paced, and under constant pressure to deliver seamless performance and airtight security. Adopting an AIOps platform isn’t just about reacting to issues—it’s about enabling intelligent, automated operations that proactively support growth, resilience, and compliance.

Here’s why leading enterprises are turning to AIOps:

• Prevent Outages Before They Happen: AIOps platforms use AI to detect anomalies in real-time, allowing teams to identify and resolve issues before they escalate into system-wide outages. This proactive approach keeps your services running smoothly and customers happy.
• Accelerate Root Cause Analysis: With intelligent correlation and automation, platforms like AIOps AppDynamics can pinpoint the source of an issue within seconds, saving hours of manual troubleshooting and reducing mean time to resolution (MTTR).
• Enhance Cybersecurity Defenses: The top AIOps platforms for cybersecurity, such as Splunk AIOps and Dynatrace AIOps, detect abnormal behavior and integrate seamlessly with SIEM tools. This enables faster, more accurate threat detection and response.
• Reduce Alert Fatigue: By filtering out noise and surfacing only high-priority issues, AIOps helps your IT teams focus on what truly matters. Say goodbye to thousands of meaningless alerts.
• Scale IT Operations Efficiently: As your cloud infrastructure grows, AIOps platforms help you manage complexity with automation. Whether it’s workload balancing or resource optimization, AIOps allows your team to do more with less.
• Simplify Compliance and Governance: Solutions like IBM Cloud Pak for AIOps provide built-in governance capabilities that support regulatory compliance. From audit trails to policy enforcement, these platforms help ensure your operations meet industry standards.

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Top AIOps Platforms for Cybersecurity

Some of the top AIOps platforms for cybersecurity trusted by security and IT teams today include Splunk AIOps, AppDynamics AIOps, Dynatrace AIOps, and IBM Cloud Pak for AIOps. Each offers unique features designed to strengthen your cybersecurity posture and keep your systems resilient.

1. CloudEagle.ai

CloudEagle.ai is a modern SaaS management and access governance platform with the capabilities of AIOps platforms, purpose-built for enterprises heavily reliant on SaaS applications. It goes beyond traditional monitoring by combining AI-driven operations with robust SaaS security, compliance management, and integrated procurement workflows.

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Designed for IT, procurement, and security teams, CloudEagle.ai enables enterprises to gain complete visibility into SaaS usage, detect risks early, and automate critical processes to enhance operational efficiency, security, and compliance.

Key Features

AI-Powered App Discovery: CloudEagle.ai’s AI-powered discovery engines continuously scan your SaaS environment and detect newly adopted apps in real time. It automatically checks each app’s security posture by verifying industry-standard certifications like GDPR, SOC 2, and HIPAA.

Based on permissions, usage patterns, and vendor history, it assigns a risk score to help IT and security teams quickly prioritize high-risk apps and take preventive action.

Shadow IT Detection: CloudEagle.ai automatically uncovers all SaaS apps in use across your enterprise—even those not officially approved or purchased by IT. These shadow apps often bypass security policies and increase the risk of data breaches.

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With CloudEagle.ai’s full visibility, you can take control of your SaaS landscape, reduce security blind spots, and prevent unmonitored tools from causing harm.

Automated Access Reviews: CloudEagle.ai automates regular access reviews with custom policies, ensuring users only have the permissions they need.

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These reviews help you enforce least-privilege access, reduce over-permissioned accounts, and support a zero-trust approach to security. This also makes it easier to stay audit-ready without the manual burden.

License and Usage Monitoring: CloudEagle.ai tracks license usage across all connected SaaS tools and flags unused or underused licenses.

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By identifying these inefficiencies, it helps reclaim or reassign licenses, reducing unnecessary spend. It also minimizes security risks, as dormant accounts are often targets for malicious actors due to a lack of monitoring.

Role-Based Access Controls (RBAC): With RBAC, CloudEagle.ai automates provisioning and deprovisioning based on roles or departments. This ensures consistent and secure access, aligning with least-privilege principles.

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When employees join, switch roles, or exit, the platform ensures their access is adjusted automatically, reducing insider threats and improving compliance.

Just-In-Time (JIT) Access: CloudEagle.ai supports just-in-time access by granting temporary permissions only when needed and revoking them automatically after use. This minimizes persistent access risks and supports a secure, time-bound approach to sensitive systems.

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Audit & Compliance Support: To stay compliant with standards like SOC 2, ISO 27001, and HIPAA, you need accurate logs and streamlined evidence collection.

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CloudEagle.ai simplifies this by maintaining detailed records of app usage, access changes, and security reviews. It centralizes all audit data in one place, saving time during compliance audits and reducing manual effort.

Proactive Threat Detection: Rather than reacting to incidents after the fact, CloudEagle.ai uses behavioral analytics to detect anomalies, like unusual login times, data downloads, or tool usage outside of assigned roles. These insights enable your team to respond early to potential insider threats or compromised accounts before any real damage is done.

Customizable Dashboards and Controls: Each department has unique needs—IT, security, procurement, and finance all benefit from tailored views. CloudEagle.ai offers customizable dashboards and policy-based controls, allowing every team to monitor the metrics that matter most to them, all from one unified platform.

Pros

• CloudEagle.ai helps secure and manage SaaS apps across your organization. It helps detect shadow IT, assigns risk scores to apps, automates access reviews, and spots unusual user behavior, making it easier to stay ahead of security threats.
• The platform integrates with over 500 popular apps like Google Workspace, Okta, Zoom, Salesforce, and Microsoft 365. This wide integration helps IT, security, and procurement teams get complete visibility, automate tasks, and manage everything from access to vendor renewals—all in one place.

Pricing

CloudEagle.ai's provides a transparent pricing structure. You will know how much you’re paying for features without hidden costs. Here are CloudEagle.ai's three pricing plans.

• SaaS Management: $2,500/month
• SaaS Governance: $2,000/month
• SaaS Procurement: $2,500/month

2. Splunk

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Splunk AIOps is one of the most powerful AIOps platforms within the Splunk Observability Cloud that helps enterprises manage and secure their IT environments using data-driven insights. It leverages machine learning and real-time analytics to detect issues, identify root causes, and automate responses before they impact users.

Key Features

• Splunk AIOps provides real-time anomaly detection across logs, metrics, and traces, allowing teams to spot issues early.
• The platform offers AI-driven event correlation to reduce alert noise and highlight only the most important incidents.
• Splunk automates incident response and root cause analysis, helping IT teams resolve problems faster.

Pros

• Splunk is known for its ability to ingest data from almost any source, providing a comprehensive view of your environment.
• Splunk has a strong ecosystem with plenty of integrations across DevOps and cybersecurity workflows.

Cons

• Initial setup and configuration can be complex and time-consuming.
• Some advanced features have a steep learning curve.

Pricing

• Splunk’s AIOps pricing is based on data ingestion volume and the features you choose. While exact pricing isn’t publicly listed, they offer custom quotes tailored to business needs. Free trials are available for evaluation.

3. AppDynamics

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AppDynamics AIOps, part of Cisco's observability suite, brings AI and machine learning into application performance monitoring. It helps IT teams detect anomalies, understand the root cause of issues, and automate remediation—all in real time. It's especially useful for enterprises managing distributed systems across cloud and on-prem environments.

Key Features

• AppDynamics uses AI-powered anomaly detection to spot performance issues before they affect users.
• It offers business transaction monitoring to tie IT performance directly to business outcomes.
• The platform provides root cause analysis by correlating metrics across application, infrastructure, and network layers.

Pros

• Strong correlation between application performance and business metrics for deeper insights.
• Real-time visibility into complex microservices and hybrid environments.
  
  

Cons

• May require time and expertise to configure for full-scale use.
• Advanced features may be overkill for small or less complex environments..

Pricing

• AppDynamics offers custom pricing based on your environment and the components you need. While specific prices aren’t listed publicly, businesses can request a demo or trial to explore the platform's capabilities.

4. Dynatrace

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Dynatrace is one of the leading AIOps platforms known for its deep observability, automation, and advanced AI engine—Davis®. It’s built to handle complex, modern IT environments, including multicloud, containers, and microservices.

AIOps Dynatrace not only monitors but also understands the full stack, making it a powerful choice for performance, security, and infrastructure monitoring.

Key Features

• Its AI engine automatically detects anomalies, prioritizes incidents, and provides root cause analysis.
• Full-stack observability—from applications and infrastructure to user experience and security data.
• Continuous automation helps teams resolve issues faster and prevent them from recurring.

Pros

• AI-driven insights reduce noise and help teams focus on what matters.
• Excellent for complex, containerized, or cloud-native environments.

Cons

• High learning curve for first-time users due to its depth and capabilities.
• Licensing and pricing structure may feel complex.

Pricing

• Dynatrace offers usage-based pricing, with plans tailored to infrastructure, application monitoring, and digital experience. You’ll need to contact their sales team for an exact quote based on your enterprise’s scale and needs.

5. IBM Instana Observability

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IBM Instana Observability is one of the best enterprise-grade AIOps platforms designed to provide real-time observability across the entire application stack. Built for modern dynamic environments like Kubernetes, microservices, and hybrid cloud, Instana helps IT and DevOps teams detect and resolve issues before they impact users.

Key Features

• Automatic discovery and continuous monitoring of infrastructure, services, and applications.
• Real-time data capture with 1-second granularity across every layer of your stack.
• Seamless integration with CI/CD pipelines and DevOps workflows.

Pros

• Real-time insights with near-instantaneous data updates.
• Excellent visibility across microservices and containerized environments.

Cons

• May be more suitable for larger enterprises due to its scale and capabilities.
• Advanced customization may require technical expertise.

Pricing

• Instana follows a consumption-based pricing model. Costs depend on factors like the number of hosts, custom metrics, and application components. For detailed pricing, IBM recommends contacting their sales team.

6. PagerDuty

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PagerDuty is a digital operations management and incident response platform that integrates AIOps capabilities to help enterprises respond to incidents faster and more efficiently. It uses real-time analytics and automation to reduce noise, accelerate root cause analysis, and orchestrate responses across teams.

Key Features

• AI-powered event intelligence to filter alerts and detect patterns.
• Real-time incident detection and response automation.
• Integration with over 700 tools, including monitoring, observability, and collaboration platforms.

Pros

• Excellent for reducing alert fatigue and focusing on high-priority issues.
• Strong integration ecosystem and easy to set up.

Cons

• Primarily focused on incident response rather than full-stack observability.
• Advanced features may require a higher-tier plan.

Pricing

• PagerDuty offers multiple pricing tiers starting from a basic plan for incident response, with advanced AIOps capabilities available in higher-tier plans. A free trial is available, and detailed pricing can be found on their official pricing page.

7. BigPanda

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BigPanda is one of the best AIOps platforms designed to help IT Ops, NOC, and SRE teams detect, investigate, and resolve incidents faster. It aggregates alerts from various monitoring, observability, and CI/CD tools, using machine learning to reduce noise and correlate data into actionable incidents.

Key Features

• Event correlation and noise reduction using AI/ML.
• Root cause analysis powered by topology and change intelligence.
• Integration with tools like Datadog, New Relic, AppDynamics, and ServiceNow.

Pros

• Excellent at reducing alert noise and avoiding alert fatigue.
• Effective correlation engine that helps uncover root causes quickly.

Cons

• Initial setup and configuration may require expertise.
• Limited visibility into infrastructure without strong third-party integrations.

Pricing

• BigPanda offers custom pricing based on the size of the infrastructure and the features required. It typically targets mid-to-large enterprises. You’ll need to contact their sales team for a tailored quote.

8. LogicMonitor

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LogicMonitor is a unified observability platform and one of the most trending AIOps platforms designed to monitor hybrid infrastructure, applications, and networks. It combines real-time metrics, logs, and automation with AIOps capabilities to help IT teams proactively detect issues, reduce noise, and accelerate resolution.

Key Features

• AIOps-driven anomaly detection and forecasting.
• Comprehensive infrastructure monitoring (cloud, on-prem, and hybrid).
• Automated alert correlation and suppression.

Pros

• Easy to deploy with agentless monitoring capabilities.
• Effective noise reduction and root cause analysis through AI.

Cons

• Learning curve for advanced features and customizations.
• Log management capabilities are not as deep as dedicated log tools.

Pricing

• LogicMonitor offers flexible pricing based on the number of devices and resources monitored. A free trial is available, but for exact pricing details, you need to contact their sales team.

9. ServiceNow

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ServiceNow AIOps is a key part of the ServiceNow IT Operations Management (ITOM) suite. It combines machine learning with workflow automation to help IT teams detect, diagnose, and resolve issues across digital services before they impact users. ServiceNow focuses on unifying observability data and automating incident response.

Key Features

• Automated ticket creation and incident response via ITSM integration.
• Service mapping for better visibility into infrastructure and dependencies.
• Integration with popular monitoring tools and cloud platforms.

Pros

• Seamlessly integrates with the broader ServiceNow ecosystem (ITSM, CMDB).
• Powerful automation and workflow capabilities.

Cons

• Can be expensive for smaller enterprises.
• Requires time and expertise to fully configure and customize.

Pricing

• ServiceNow offers modular pricing based on the selected ITOM and AIOps capabilities. Pricing is typically quote-based and varies by enterprise size and use case. A demo or consultation is recommended for details.

10. Datadog

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Datadog AIOps is one of the advanced AIOps platforms, designed to apply machine learning to vast volumes of telemetry data across infrastructure, applications, logs, and more. It helps DevOps and security teams detect anomalies, reduce alert fatigue, and accelerate incident response through automated intelligence.

Key Features

• Anomaly detection powered by machine learning.
• Intelligent alert grouping and correlation.
• Root cause analysis and context-rich incident timelines.

Pros

• Unified platform for infrastructure monitoring, APM, and security.
• Highly customizable dashboards and alerts.

Cons

• Can become expensive at scale, especially with high data volumes.
• Alert configuration may require fine-tuning to avoid noise.

Pricing

• Datadog uses a modular, usage-based pricing model. AIOps features are part of the Datadog Observability Pipelines and Watchdog products, with pricing dependent on the number of hosts, features enabled, and data ingested.

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How to Choose the Best AIOps Platform?

Selecting the right AIOps platform depends on your IT environment, security priorities, and scalability goals. Here are key factors to consider when evaluating your options:

• Integration Capabilities: Ensure the platform integrates smoothly with your existing monitoring tools, cloud infrastructure, and SIEM systems. Platforms like Splunk AIOps and AppDynamics AIOps offer deep integrations with enterprise IT stacks.
• AI and Machine Learning Maturity: Look for platforms that use advanced machine learning for accurate anomaly detection, root cause analysis, and predictive insights. Dynatrace AIOps, for example, uses Davis AI to deliver real-time, context-rich alerts.
• Cybersecurity Features: Choose a platform that ranks among the top AIOps platforms for cybersecurity, with capabilities like behavioral analytics, threat detection, and automated incident response.
• Automation and Scalability: A good AIOps platform should automate repetitive tasks, adapt to growing workloads, and support hybrid or multi-cloud environments. IBM Cloud Pak for AIOps is known for its enterprise-grade scalability and governance features.
• Ease of Use and Visualization: The best platforms offer intuitive dashboards, AI-driven insights, and minimal configuration effort, ensuring quicker onboarding and better team adoption.
  
  

Conclusion

As IT systems grow more complex and cyber threats become smarter, traditional tools just aren’t enough. AIOps platforms add the intelligence and automation needed to detect issues early, respond faster, and keep systems running smoothly.

Top AIOps tools like Splunk AIOps, AppDynamics, Dynatrace, and IBM Cloud Pak for AIOps help IT teams move from reacting to problems to preventing them. They cut through alert noise, find root causes quickly, and automate fixes, making your operations stronger and more secure.

Ready to transform your IT operations with AI-driven efficiency?

Schedule a demo with CloudEagle.ai to see how you can secure your SaaS environment.

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Frequently Asked Questions

1. What is an AIOps platform?

An AIOps platform uses AI and ML to help IT teams manage complex systems more easily. It collects data from many tools, finds unusual patterns, and can even automate things like alerts or fixes. This helps prevent downtime and reduces the amount of manual work needed.

2. What is AIOps in AWS?

AIOps in AWS means using Amazon tools like CloudWatch and DevOps Guru to monitor your systems, find problems early, and fix them automatically. It helps teams keep apps running smoothly and safely, without needing to constantly check dashboards.

3. Is AIOps part of DevOps?

Yes, AIOps works well with DevOps. DevOps helps teams build and release software faster. AIOps supports this by handling IT operations, like monitoring systems, cutting down alert noise, and fixing issues quickly. This keeps everything running smoothly so developers can focus on their work.

4. Who is the market leader of AIOps?

Some of the top AIOps platforms in the market include Splunk AIOps, AIOps Dynatrace, AIOps AppDynamics, and IBM Cloud Pak for AIOps. These platforms are known for their advanced automation, real-time insights, and strong cybersecurity features, making them trusted by large enterprises.

5. What is AIOps for network security?

AIOps helps boost network security by continuously monitoring for unusual activity, detecting threats faster, and reducing false alarms. It can work with tools like SIEMs to automatically respond to security events, making it easier for teams to stay ahead of cyberattacks.

6. What is IBM Cloud Pak for AIOps?

IBM Cloud Pak for AIOps is a smart platform that helps enterprises manage their IT systems across cloud and on-prem environments. It uses AI to detect problems before they affect users, automates responses, and provides audit-ready tools to help meet compliance requirements.

7. Which AIOps platform offers the best security features?

Platforms like IBM Cloud Pak for AIOps, Dynatrace, and CloudEagle.ai are known for strong security features. CloudEagle.ai stands out for SaaS security with proactive threat detection, shadow IT discovery, and automated access reviews, making it ideal for securing cloud apps.

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