Best Anomaly Detection Software in South America

Monitor your servers, containers, and applications, in high-resolution and in real-time. Netdata collects metrics per second and presents them in beautiful low-latency dashboards. It is designed to run on all of your physical and virtual servers, cloud deployments, Kubernetes clusters, and edge/IoT devices, to monitor your systems, containers, and applications. It scales nicely from just a single server to thousands of servers, even in complex multi/mixed/hybrid cloud environments, and given enough disk space it can keep your metrics for years. KEY FEATURES: Collects metrics from 800+ integrations Real-Time, Low-Latency, High-Resolution Unsupervised Anomaly Detection Powerful Visualization Out of box Alerts systemd Journal Logs Explorer Low Maintenance Open and Extensible Troubleshoot slowdowns and anomalies in your infrastructure with thousands of per-second metrics, meaningful visualisations, and insightful health alarms with zero configuration. Netdata is different. Real-Time data collection and visualization. Infinite scalability baked into its design. Flexible and extremely modular. Immediately available for troubleshooting, requiring zero prior knowledge and preparation.

Cyberthreats are eradicated Restores confidence. Traditional antivirus is no longer sufficient. Malwarebytes eliminates all new threats before other antivirus systems even know they exist. Malwarebytes blocks viruses, malware, malicious sites, ransomware, hackers, and other threats that traditional antivirus can't stop. Organizations of all sizes use our cutting-edge protection and response strategies. Traditional antivirus is slow to respond to new threats. It's also "dumb". We use layers like anomaly detection (an artificial intelligence type), behavior matching, application hardening, and behavior matching to destroy malware that has never been seen before. It's not like traditional antivirus.

CloudNito, an AI-powered SaaS solution, is designed to help companies of all sizes optimize AWS cloud costs. Our solution combines real time monitoring, advanced anomaly detecting, and automated cost saving actions to eliminate wasteful cloud spending and improve efficiency. The following are the key features: AI-driven cost anomaly identification Automated resource scaling, optimization and scaling Cost allocation and reporting in detail Cost forecasting - a predictive tool Customizable alerts, thresholds and alerts CloudNito allows companies to save on their AWS costs, ensuring that they get the most out of their cloud investment.

Accelerate the transition from data to tangible business results with Splunk. Splunk Enterprise streamlines the process of gathering, analyzing, and leveraging the hidden potential of the vast data created by your technological framework, security measures, and enterprise applications—equipping you with the knowledge necessary to enhance operational efficiency and achieve business objectives. Effortlessly gather and index log and machine data from a variety of sources. Merge your machine data with information stored in relational databases, data warehouses, as well as Hadoop and NoSQL data repositories. The platform's multi-site clustering and automatic load balancing capabilities are designed to accommodate hundreds of terabytes of data daily, ensuring quick response times and uninterrupted access. Customizing Splunk Enterprise to suit various project requirements is straightforward with the Splunk platform. Developers have the flexibility to create bespoke Splunk applications or incorporate Splunk data into existing applications. Furthermore, applications developed by Splunk, our collaborators, and the community enhance and expand the functionalities of the Splunk platform, making it a versatile tool for organizations of all sizes. This adaptability ensures that users can extract maximum value from their data in a rapidly changing business landscape.

Dataiku serves as a sophisticated platform for data science and machine learning, aimed at facilitating teams in the construction, deployment, and management of AI and analytics projects on a large scale. It enables a diverse range of users, including data scientists and business analysts, to work together in developing data pipelines, crafting machine learning models, and preparing data through various visual and coding interfaces. Supporting the complete AI lifecycle, Dataiku provides essential tools for data preparation, model training, deployment, and ongoing monitoring of projects. Additionally, the platform incorporates integrations that enhance its capabilities, such as generative AI, thereby allowing organizations to innovate and implement AI solutions across various sectors. This adaptability positions Dataiku as a valuable asset for teams looking to harness the power of AI effectively.

Xygeni Security secures your software development and delivery with real-time threat detection and intelligent risk management. Specialized in ASPM. Xygeni's technologies automatically detect malicious code in real-time upon new and updated components publication, immediately notifying customers and quarantining affected components to prevent potential breaches. With extensive coverage spanning the entire Software Supply Chain—including Open Source components, CI/CD processes and infrastructure, Anomaly detection, Secret leakage, Infrastructure as Code (IaC), and Container security—Xygeni ensures robust protection for your software applications. Empower Your Developers: Xygeni Security safeguards your operations, allowing your team to focus on building and delivering secure software with confidence.

Syft is used by thousands of companies to make better business decisions using financial data. Try today, no credit card required. Visualizations, beautiful reports, and forecasts that work bring insights to life. With the ability to detect anomalies and calculate health scores, you can spend less time reconciling and reviewing data. Real-time monitoring across all businesses and consolidation allows you to keep your finger on the pulse of performance. Real-time integrations to your favorite accounting or e-commerce software so you can concentrate on analysis and output. Secure-by-design infrastructure with built-in protection on an international network to protect your data. You can learn quickly by working with live instructors or with migration assistance if other tools are used.

Edge Delta is a new way to do observability. We are the only provider that processes your data as it's created and gives DevOps, platform engineers and SRE teams the freedom to route it anywhere. As a result, customers can make observability costs predictable, surface the most useful insights, and shape your data however they need. Our primary differentiator is our distributed architecture. We are the only observability provider that pushes data processing upstream to the infrastructure level, enabling users to process their logs and metrics as soon as they’re created at the source. Data processing includes: * Shaping, enriching, and filtering data * Creating log analytics * Distilling metrics libraries into the most useful data * Detecting anomalies and triggering alerts We combine our distributed approach with a column-oriented backend to help users store and analyze massive data volumes without impacting performance or cost. By using Edge Delta, customers can reduce observability costs without sacrificing visibility. Additionally, they can surface insights and trigger alerts before data leaves their environment.

Searching and analyzing structured data is easy; however, over 80% of generated data is unstructured, requiring a different approach. Machine learning converts unstructured data into high-dimensional vectors of numerical values, which makes it possible to find patterns or relationships within that data type. Unfortunately, traditional databases were never meant to store vectors or embeddings and can not meet unstructured data's scalability and performance requirements. Zilliz Cloud is a cloud-native vector database that stores, indexes, and searches for billions of embedding vectors to power enterprise-grade similarity search, recommender systems, anomaly detection, and more. Zilliz Cloud, built on the popular open-source vector database Milvus, allows for easy integration with vectorizers from OpenAI, Cohere, HuggingFace, and other popular models. Purpose-built to solve the challenge of managing billions of embeddings, Zilliz Cloud makes it easy to build applications for scale.

Service assurance is a key goal for digital-first businesses. It has become the lifeblood of their business applications. These applications are becoming more complex due to the advent of 5G, edge, and containerized cloud-native infrastructures. RDAF consolidates disparate data sources and converges on the root cause using dynamic AI/ML pipelines. Then, intelligent automation is used to remediate. Data-driven companies should evaluate, assess, and implement RDAF to speed innovation, reduce time to value, meet SLAs, and provide exceptional customer experiences.

Elevate your log management with Honeycomb, a platform designed specifically for contemporary development teams aiming to gain insights into application performance while enhancing log management capabilities. With Honeycomb’s rapid query functionality, you can uncover hidden issues across your system’s logs, metrics, and traces, utilizing interactive charts that provide an in-depth analysis of raw data that boasts high cardinality. You can set up Service Level Objectives (SLOs) that reflect user priorities, which helps in reducing unnecessary alerts and allows you to focus on what truly matters. By minimizing on-call responsibilities and speeding up code deployment, you can ensure customer satisfaction remains high. Identify the root causes of performance issues, optimize your code efficiently, and view your production environment in high resolution. Our SLOs will alert you when customers experience difficulties, enabling you to swiftly investigate the underlying problems—all from a single interface. Additionally, the Query Builder empowers you to dissect your data effortlessly, allowing you to visualize behavioral trends for both individual users and services, organized by various dimensions for enhanced analytical insights. This comprehensive approach ensures that your team can respond proactively to performance challenges while refining the overall user experience.

Leverage the most extensively utilized observability platform, founded on the reliable Elastic Stack (commonly referred to as the ELK Stack), to integrate disparate data sources, providing cohesive visibility and actionable insights. To truly monitor and extract insights from your distributed systems, it is essential to consolidate all your observability data within a single framework. Eliminate data silos by merging application, infrastructure, and user information into a holistic solution that facilitates comprehensive observability and alerting. By integrating limitless telemetry data collection with search-driven problem-solving capabilities, you can achieve superior operational and business outcomes. Unify your data silos by assimilating all telemetry data, including metrics, logs, and traces, from any source into a platform that is open, extensible, and scalable. Enhance the speed of problem resolution through automatic anomaly detection that leverages machine learning and sophisticated data analytics, ensuring you stay ahead in today's fast-paced environment. This integrated approach not only streamlines processes but also empowers teams to make informed decisions swiftly.

Unlock business potential through the use of predictive analytics, enabling you to make data-driven decisions and enhance operational processes. With the ability to create predictive models in mere seconds, you can achieve quicker and more accurate forecasting and anomaly detection. TIM InstantML serves as a hyper-automated, advanced machine learning tool designed specifically for time series data, facilitating improved forecasting, anomaly detection, and classification. This solution empowers you to unlock the value embedded in your data, allowing you to harness the capabilities of predictive analytics effectively. It features high-quality automatic feature engineering while concurrently fine-tuning model structures and parameters to optimize performance. TIM also provides versatile deployment options and seamless integration with numerous popular platforms. For those who prefer a user-friendly graphical interface, TIM Studio caters to this need, making the experience efficient and straightforward. Embrace a truly data-driven approach with the robust capabilities of automated predictive analytics, and discover the insights hidden within your data with greater speed and ease. Experience the transformation of your business operations as you leverage these insights to drive strategic initiatives.

Anodot uses AI to deliver autonomous analytics at enterprise scale across all data types and in real-time. We provide business analysts with the ability to control their business, without the limitations of traditional Business Intelligence. Our self-service AI platform runs continuously to eliminate blind spots and alert incidents, and investigate root cause. Our platform uses machine learning algorithms that are patent-pending to identify issues and correlate them across multiple parameters. This eliminates business insight latency and supports quick, smart business decision-making. Anodot serves over 100 customers in the digital transformation industry, including eCommerce, FinTech and AdTech, Telco and Gaming. This includes Microsoft, Lyft and Waze. Anodot was founded in 2014 in Silicon Valley and Israel. There are also sales offices around the world.

Sightline EDM: Improved Operations, Right Out of the Box Predictive analytics and performance and risk-based monitoring used to be a complicated process. Between endless Excel files and disjointed communication between departments, a lot of information was lost. When you switch to Sightline EDM, you can start making the best decisions for your operations, prepare for the future, and begin saving time and money immediately in one easy-to-use platform. One Easy-to-Use Dashboard Data from multiple monitoring tools can be consolidated into a single display: a uniform, easy-to-use dashboard with drill-down details. Real-Time OT & IT Intelligence With configurable notifications to any errors or anomalies, visualize and analyze production and operations in minutes, not months. Scalable Usability for All Organizations & Teams Proven, enterprise-grade, scalable software solution with role-based access controls, security, and user views that works with all web browsers and mobile devices. Pre-Built Integrations Across Systems Data from PLCs, CNC machines, process equipment, ERP/MES systems, and other vital data sources is gathered in minutes, not months, using open, agent, and agentless interfaces.

The Real-time Anomaly Detection solution enables the identification of unusual user behaviors or specific actions that deviate from established patterns within a dataset. These expected patterns can be derived from historical data or customized datasets tailored to your needs, reflecting our strong emphasis on personalization at Tatvic. With this solution, you can discern whether a sudden increase in traffic to your website or application is caused by bots and spam or if it is influenced by other external elements. Additionally, the Real-time Anomaly Detection solution highlights issues on your site, such as a disrupted user experience resulting from a recent change or update. For more intricate websites, this tool is invaluable for monitoring the overall performance and operational status of your website and application, ensuring they function seamlessly. By implementing this solution, businesses can proactively address potential issues before they escalate, enhancing user satisfaction and retention.

Our technology, built on blockchain principles, ensures that no changes or deletions can be made to the audit trail, even by those with high-level access. It meets the stringent audit trail standards set forth by various regulations such as GDPR, PSD2, PCI-DSS, ISO 27001, HIPAA, and SOX. With the ability to perform real-time, in-depth analysis of all activities and incorporate AI-driven anomaly detection, we effectively thwart fraudulent attempts. The integration process is seamless, offering both agent and agentless options for all existing systems, complemented by a user-friendly RESTful API. This solution provides a centralized command center that allows for immediate oversight and control of all systems and users. Organizations can demonstrate compliance more efficiently, significantly lowering operational costs while minimizing the workload involved in audits, forensics, and fraud detection. With our blockchain technology in place, you can have complete confidence in the integrity of your vital data, as it is designed to be tamper-proof, ensuring that your information remains secure and trustworthy. Additionally, this innovative approach enables organizations to maintain high standards of accountability and transparency in their operations.

Auger.AI presents a comprehensive solution designed to guarantee the precision of machine learning models. Our Machine Learning Review and Monitoring (MLRAM) tool is pivotal in maintaining the accuracy of your models consistently. Additionally, it calculates the return on investment for your predictive analytics! MLRAM is compatible with any machine learning technology stack, which enhances its versatility. If your machine learning system lifecycle lacks regular accuracy assessments, you might be incurring losses due to faulty predictions. Moreover, the frequent need for model retraining can be costly and may not address issues stemming from concept drift. MLRAM delivers significant benefits for both data scientists and business users, featuring tools like accuracy visualization graphs, performance alerts, anomaly detection, and automated optimized retraining. Integrating your predictive model with MLRAM is as simple as adding a single line of code. We also provide a complimentary one-month trial of MLRAM for eligible users. With Auger.AI, you can confidently use the most precise AutoML platform available today, ensuring your organization maximizes its predictive capabilities.

DoiT is a global technology company that delivers a comprehensive cloud operations platform designed to optimize performance, scalability, and cost efficiency. Powered by proactive, industry-leading expertise, DoiT Cloud Intelligence is the only context-aware multicloud platform that turns insights into action. With deep specializations in Kubernetes, GenAI, CloudOps, and FinOps, we partner with AWS, Google Cloud, and Microsoft Azure to help over 4,000 businesses worldwide enhance cloud performance, reliability, and security. Whether managing complex multicloud environments or driving innovation, DoiT provides the intelligence and human expertise needed to maximize your cloud investment.

Mona is a flexible and intelligent monitoring platform for AI / ML. Data science teams leverage Mona’s powerful analytical engine to gain granular insights about the behavior of their data and models, and detect issues within specific segments of data, in order to reduce business risk and pinpoint areas that need improvements. Mona enables tracking custom metrics for any AI use case within any industry and easily integrates with existing tech stacks. In 2018, we ventured on a mission to empower data teams to make AI more impactful and reliable, and to raise the collective confidence of business and technology leaders in their ability to make the most out of AI. We have built the leading intelligent monitoring platform to provide data and AI teams with continuous insights to help them reduce risks, optimize their operations, and ultimately build more valuable AI systems. Enterprises in a variety of industries leverage Mona for NLP/NLU, speech, computer vision, and machine learning use cases. Mona was founded by experienced product leaders from Google and McKinsey&Co, is backed by top VCs, and is HQ in Atlanta, Georgia. In 2021, Mona was recognized by Gartner as a Cool Vendor in AI Operationalization and Engineering.

Detecting anomalies in time series data is critical for the daily functions of numerous organizations. The Timeseries Insights API Preview enables you to extract real-time insights from your time-series datasets effectively. It provides comprehensive information necessary for interpreting your API query results, including details on anomaly occurrences, projected value ranges, and segments of analyzed events. This capability allows for the real-time streaming of data, facilitating the identification of anomalies as they occur. With over 15 years of innovation in security through widely-used consumer applications like Gmail and Search, Google Cloud offers a robust end-to-end infrastructure and a layered security approach. The Timeseries Insights API is seamlessly integrated with other Google Cloud Storage services, ensuring a uniform access method across various storage solutions. You can analyze trends and anomalies across multiple event dimensions and manage datasets that encompass tens of billions of events. Additionally, the system is capable of executing thousands of queries every second, making it a powerful tool for real-time data analysis and decision-making. Such capabilities are invaluable for businesses aiming to enhance their operational efficiency and responsiveness.

In 30 minutes, you can monitor your entire warehouse. Automated warehouse-to-BI lineage can identify downstream impacts. Trust can be lost in seconds and regained in months. With modern data-era observability, you can have peace of mind. It can be difficult to get the coverage you need with code-based tests. They take hours to create and maintain. Metaplane allows you to add hundreds of tests in minutes. Foundational tests (e.g. We support foundational tests (e.g. row counts, freshness and schema drift), more complicated tests (distribution shifts, nullness shiftings, enum modifications), custom SQL, as well as everything in between. Manual thresholds can take a while to set and quickly become outdated as your data changes. Our anomaly detection algorithms use historical metadata to detect outliers. To minimize alert fatigue, monitor what is important, while also taking into account seasonality, trends and feedback from your team. You can also override manual thresholds.

Introducing Cloud Cost Pro, a premier solution for optimizing cloud expenditures and managing FinOps effectively. With Cloud Cost Pro, you obtain a comprehensive perspective of your multi-cloud landscape, enriched with practical insights, machine learning-driven suggestions, and automated processes to enhance your cloud operations. Propel improvements throughout your organization, refine your budgeting strategies, and uphold compliance with best practices for security and resilience. The tool automates the evaluation of best practices and responds to budget discrepancies and irregularities. Benefit from machine learning-enhanced cost predictions, anomaly identification, and tailored optimization guidance. Achieve thorough, detailed visibility into your cloud assets, ensuring that every dollar spent is justified. Effortlessly monitor multi-cloud expenses across various teams and departments, receiving nearly real-time insights to fine-tune cloud costs. With the capability for machine learning-driven anomaly detection, you can promptly deactivate any unapproved, expensive resources before costs escalate significantly. This proactive approach not only safeguards your budget but also fosters a culture of financial accountability within your organization.

IBM Z Anomaly Analytics is a sophisticated software solution designed to detect and categorize anomalies, enabling organizations to proactively address operational challenges within their environments. By leveraging historical log and metric data from IBM Z, the software constructs a model that represents typical operational behavior. This model is then utilized to assess real-time data for any deviations that indicate unusual behavior. Following this, a correlation algorithm systematically organizes and evaluates these anomalies, offering timely alerts to operational teams regarding potential issues. In the fast-paced digital landscape today, maintaining the availability of essential services and applications is crucial. For businesses operating with hybrid applications, including those on IBM Z, identifying the root causes of issues has become increasingly challenging due to factors such as escalating costs, a shortage of skilled professionals, and shifts in user behavior. By detecting anomalies in both log and metric data, organizations can proactively uncover operational issues, thereby preventing expensive incidents and ensuring smoother operations. Ultimately, this advanced analytics capability not only enhances operational efficiency but also supports better decision-making processes within enterprises.

SmartFlow is an advanced IT cybersecurity monitoring solution that employs Anomaly Detection to identify elusive security risks. It serves as an enhancement to traditional signature-based monitoring systems. By scrutinizing network flow traffic, SmartFlow is adept at uncovering zero-day attacks. Designed specifically for medium to large enterprises, this appliance-based tool leverages patented anomaly detection methods and network behavior analysis to spot potential threats within a network. Utilizing Solana algorithms, it processes flow data like Netflow to identify various threats, including address scans, DDoS attacks, botnets, port scans, and malware. Unlike signature-based systems, which may overlook zero-day threats and encrypted malicious traffic, SmartFlow ensures comprehensive detection of these risks. It effectively transforms network traffic and flow data into over 20 distinct statistical metrics, which are then continuously monitored to provide early alerts regarding cyber threats. In doing so, SmartFlow not only enhances security but also offers peace of mind for organizations seeking to safeguard their digital assets.