Alternatives to Thoras.ai

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.

Protect and optimize mission-critical Kubernetes apps. Fairwinds Insights, a Kubernetes configuration validation tool, monitors your Kubernetes containers and recommends improvements. The software integrates trusted open-source tools, toolchain integrations and SRE expertise, based on hundreds successful Kubernetes deployments. The need to balance the speed of engineering and the reactive pace of security can lead to messy Kubernetes configurations, as well as unnecessary risk. It can take engineering time to adjust CPU or memory settings. This can lead to over-provisioning of data centers capacity or cloud compute. While traditional monitoring tools are important, they don't offer everything necessary to identify and prevent changes that could affect Kubernetes workloads.

StormForge drives immediate benefits for organization through its continuous Kubernetes workload rightsizing capabilities — leading to cost savings of 40-60% along with performance and reliability improvements across the entire estate. As a vertical rightsizing solution, Optimize Live is autonomous, tunable, and works seamlessly with the HPA at enterprise scale. Optimize Live addresses both over- and under-provisioned workloads by analyzing usage data with advanced ML algorithms to recommend optimal resource requests and limits. Recommendations can be deployed automatically on a flexible schedule, accounting for changes in traffic patterns or application resource requirements, ensuring that workloads are always right-sized, and freeing developers from the toil and cognitive load of infrastructure sizing.

Sensai is an AI-based algorithm that detects anomalies, predicts root causes, and analyzes root causes. This allows for real-time resolution of issues. Sensai AI solution dramatically improves uptime and time to root cause. IT leaders are empowered to manage SLAs for better performance and profitability. Automates anomaly detection, prediction root cause analysis (RCA), and resolution. Integrating 3rd party tools allows for a holistic view and integrated analytics. Pre-trained models & algorithms from day one.

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.

Cloud Cost Pro is an industry-leading solution for cloud cost optimization. Cloud Cost Pro gives you a 360-degree overview of your multicloud environment. It also provides actionable insights and automated actions to streamline cloud operations. Drive improvements across the organization, improve budgeting and ensure compliance with best practices in security and resilience. Automated assessment of budget violations and anomalies. Cost forecasts, anomaly identification, and optimization recommendations are powered by ML. Get end-to-end visibility and granularity into your cloud resources, to ensure that every dollar is accounted for. Track cloud costs across teams and business units. Get near-real-time insights to optimize cloud cost. You can stop any unauthorized resource that is costing you money before it snowballs.

Azure AI anomaly detection can help you predict problems before they happen. You can easily embed time-series abnormality detection capabilities into apps to help users quickly identify problems. AI Anomaly Detector ingests all types of time-series data and selects the most accurate anomaly detection algorithm to ensure high accuracy. Detect spikes, dips and deviations from cyclic patterns through univariate or multivariate APIs. You can customize the service to detect anomalies of any level. You can deploy the anomaly detection service in the cloud, or at the intelligent edge. A powerful inference algorithm assesses your data and selects the best anomaly detection algorithm for your scenario. Automatic detection eliminates the requirement for labeled data, allowing you to save time and focus on fixing problems as they arise.

NEMESIS: Next generation AI-powered anomaly detection technology that detects fraud and waste. NEMESIS: Next generation AI-powered anomaly detector technology that pinpoints efficiency opportunities within your business management systems. NEMESIS, powered by AI, is an enterprise-ready configurable platform for business solutions that enables business analysts to quickly transform data into actionable insights. AI can solve problems such as overstaffing, medical errors and quality of care. NEMESIS's continuous process monitoring allows you to uncover a wide range risk elements. From predicting quality issues to detecting abuse and waste, NEMESIS can help you. Machine learning and AI can be used to detect fraud schemes and prevent them from draining your finances. Continuous visibility of waste and abuse will help you to keep your budget in check and prevent budget deviations.

No more data catalog ghost cities. Acryl Cloud accelerates time-to-value for data producers through Shift Left practices and an intuitive user interface for data consumers. Continuously detect data-quality incidents in real time, automate anomaly detecting to prevent breakdowns, and drive quick resolution when they occur. Acryl Cloud supports both pull-based and push-based metadata ingestion to ensure information is reliable, current, and definitive. Data should be operational. Automated Metadata Tests can be used to uncover new insights and areas for improvement. They go beyond simple visibility. Reduce confusion and speed up resolution with clear asset ownership and automatic detection. Streamlined alerts and time-based traceability are also available.

Infrascale offers a cloud backup solution for enterprises that includes Anomaly Detection. This alerts you when the number or change of files significantly exceeds established benchmark levels. The Anomaly Detection feature is an important early warning system that can quickly identify a ransomware infection. It will also allow you to recover critical data before the entire network is frozen.

The most widely used observability platform, built on the ELK Stack, is the best choice. It converges silos and delivers unified visibility and actionable insight. All your observability data must be in one stack to effectively monitor and gain insight across distributed systems. Unify all data from the application, infrastructure, user, and other sources to reduce silos and improve alerting and observability. Unified solution that combines unlimited telemetry data collection with search-powered problem resolution for optimal operational and business outcomes. Converge data silos with the ingesting of all your telemetry data from any source, in an open, extensible and scalable platform. Automated anomaly detection powered with machine learning and rich data analysis can speed up problem resolution.

AI-powered anomaly detection for your business and root cause analysis. Avora uses machine learning to monitor your business metrics and alert you to important events so you can take action within hours instead of days or weeks. You can continuously analyze millions of records per minute for unusual behavior to uncover threats and opportunities in your company. Root cause analysis is a way to quickly and confidently identify the factors that are driving your business metrics upwards or downwards. Use our APIs to embed Avora's machine-learning capabilities and alerts in your own applications. Alerts about anomalies, trend changes, and thresholds can be sent via email, Slack or Microsoft Teams. Webhooks can also be used to send alerts to other platforms via Webhooks. You can share your insights with other team members. Invite others to track metrics and receive notifications in real time.

Auger.AI offers the best solution to ensure accuracy of machine learning models. Our MLRAM tool (Machine Learning Review & Monitoring) ensures that your models are always accurate. It even calculates the ROI for your predictive model! MLRAM can be used with any machine-learning technology stack. Inaccurate predictions can cost you money if your ML system's lifecycle doesn't include consistent measurement. Frequent retraining models can be costly and may not solve the problem if they are experiencing concept drift. MLRAM is a valuable tool for both data scientists and business users. It includes features such as accuracy visualization graphs and performance alerts. It also allows for anomaly detection and automated optimized retraining. It takes only one line of code to connect your predictive model with MLRAM. Qualified users can get a one-month free trial of MLRAM. Auger.AI is the most accurate AutoML platform.

Many organizations are struggling to gain visibility due to rapid cloud adoption, multi-cloud environments, and siloed teams. Wraith®, which offers unparalleled visibility and threat-hunting capabilities across hybrid, multi-cloud and on-premise architectures, addresses this challenge. These capabilities are enhanced with AI-enabled abnormality detection, making Wraith a vital tool for neutralizing hidden attacks to secure and defend clouds environments. Wraith offers multi-terrain visibility that allows security teams to monitor assets, activities and Cloud Service Providers with a single set of tools. This ensures a unified posture for security and faster threat responses across diverse and complex cloud environment.

Deep Text Inspection, anomaly detection and clustering. Cutting-edge AI that scans log data and streams insights, alerts. ML clustering detects new errors, unique risk KPI, and more. Pattern recognition and discovery. Anomaly detection for data and risk monitoring. Integration with Logstash and ELK, among others. AiOpsX can be deployed quickly on any log data. It also augments existing monitoring and log analysis tools with millions smart eyes. Security, performance audit, errors & issues, trends, anomalies, security, and more! Unique algorithms detect patterns and calculate risk levels. Anomaly detection continually scans performance and risk data to find outliers. The AiOpsX monitoring engine detects new types and errors, log volume changes, risk levels spikes, and triggers alerts and reports for IT monitoring teams.

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.

VictoriaMetrics Anomaly Detection, a service which continuously scans data stored in VictoriaMetrics to detect unexpected changes in real-time, is a service for detecting anomalies in data patterns. It does this by using user-configurable models of machine learning. VictoriaMetrics Anomaly Detection is a key tool in the dynamic and complex world system monitoring. It is part of our Enterprise offering. It empowers SREs, DevOps and other teams by automating the complex task of identifying anomalous behavior in time series data. It goes beyond threshold-based alerting by utilizing machine learning to detect anomalies, minimize false positives and reduce alert fatigue. The use of unified anomaly scores and simplified alerting mechanisms allows teams to identify and address potential issues quicker, ensuring system reliability.

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.

With powerful AI capabilities, you can inspect energy infrastructure efficiently and accurately with a robust software platform. It includes REST APIs, analytics and work prioritization. Optimize your inspection for maximum accuracy. PowerAI makes inspections more efficient, cost-effective, and collaborative than ever. With AI-based visual processing, you can keep your community, people, and assets safe. Our AI-based anomaly detector redefines accuracy and consistency with the most accurate visual processing in the industry. This precision results in cost savings of 50-70% on data processing, visual anomaly detections and time savings of 50-60%. We offer the highest accuracy in the industry for detecting 27 different assets and anomalies. Our technology, powered by machine learning redefines accuracy and consistency for power infrastructure inspections.

Sightline Enterprise Data Manager™ (EDM), a powerful IT monitoring solution, provides real-time visibility in today's hybrid, cloud, and virtual IT environments. Sightline uses predictive analytics, big data visualization, and machine learning to provide root cause analysis, automated forecasting, and capacity planning to assist organizations in identifying infrastructure problems.

Avoid complexity. Better decide. The SaaS solution to detect transport anomalies using AI. Transport planning with smart vision Smart transport vision provides global visibility, intelligent anomaly detection, and powerful ally for optimal decision making. Sightness' AI (Artificial Intelligence Technology) technology frees decision-makers of the complexity of freight transportation. It standardizes heterogeneous data and provides a synoptic, microscopic, and detailed view of the activity, as well as identifying anomalies. This allows you to create the right action plans. Modules that correspond to the three key components transport are available with Sightness: customer promise, costs, and environmental impact. Its functionalities allow it to meet both the business challenges of shippers and carriers. Integrate transport into your CSR program. Calculate your emissions, simulate the action plans and verify their correct functioning.

Many companies need to be able to detect anomalies in their time series data. Timeseries Insights API Preview allows you to gain insights from your time-series data in real-time. You will find all the information you need to understand your API query result, including anomaly events, forecasted ranges of values and slices of events. Stream data in real time, allowing you to detect anomalies as they occur. Google Cloud's comprehensive infrastructure and defense-in depth approach to security has been innovating for more than 15 years. Timeseries Insights API, at its core, is fully integrated with other Google Cloud Storage service, giving you consistent access across storage products. You can detect trends and anomalies across multiple event dimensions. Handle large datasets containing tens to billions of events. Execute thousands of queries per second.

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.

SmartFlow, an IT cyber security monitoring tool, uses Anomaly Detection (to pinpoint difficult-to-detect security threats). SmartFlow is an addition to existing signature-based security monitoring tools. It analyzes network traffic to detect zero-day security threats. Smartflow is an appliance-based solution that is targeted at medium and large businesses. SmartFlow uses patent-pending network behaviour analysis and anomaly detection techniques to identify security threats in a network. It uses Solana algorithms to analyze flow data such Netflow to detect malware, DDoS attacks and Botnets. Signature-based security monitoring tools may not detect zero day threats or encrypted malicious traffic (such Botnet Command & Control). SmartFlow will detect them. SmartFlow analyzes network traffic and flows data to produce more than 20 statistical measures that it continuously analyzes in order to detect cyber threats early.

Nazar was developed from our need to manage multiple databases in hybrid or multi-cloud environments. It is ready to use for main database engines and completely eliminates needing multiple tools. It makes it easy and efficient to set up new servers on the platform. You can get a standardized view of the behavior of your database from a single dashboard. This is a great way to avoid having to use multiple tools that have completely different views and metrics. It is not easy to set up, trace and investigate logs and query data dictionaries each time. Nazar monitors the DBMS resources and does not require agents to do so. NAZAR automates anomaly identification and root-cause analysis. This reduces mean time to resolution (MTTR). It also detects issues to avoid potential incidents that could impact peak application and business performance.

Amazon GuardDuty, a threat detection service, continuously monitors for malicious behavior and unauthorized behavior to protect AWS accounts, workloads and data stored in Amazon S3. Although the cloud makes it easier to collect and aggregate account and network activity, it can be difficult for security teams and staff to analyze log data for potential threats. GuardDuty is an intelligent and cost-effective solution for continuous threat detection in AWS. GuardDuty uses machine learning, anomaly detection and integrated threat intelligence to identify potential threats and prioritize them. GuardDuty analyses tens to billions of events from multiple AWS data sources such as AWS CloudTrail logs, Amazon VPC flow logs, and DNS logs. GuardDuty is easy to enable and maintain with just a few clicks from the AWS Management console.

Automate anomaly detection in order to meet SLAs. Monitor the entire network. Optimize digital experiences. Modernize network security by leveraging existing infrastructure with an AI-assisted, agentless approach. Access should be restricted based on the least privilege. Create boundaries based on identity. Extend to devices, applications, and infrastructure. Instant notifications for escalated incidents. Cohesive logs allow you to review all session details and activity. Obtain network topology information and enable device fingerprinting. Connect seamlessly to your existing infrastructure. Unify connectivity and management from campus to the cloud. Lumeus allows organizations to monitor and detect escalations by using AI, segment traffic to prevent lateral movements, and secure user access through MFA and zero-trust to network infrastructure. All of this can be done with a single unified management plane. Lumeus offers a cloud-based management portal that connects with your infrastructure using API.

Monitor, control and automate the spacecraft's operations. {Operate multiple missions, diverse satellites, and various payloads within a unified interface.|Operate diverse satellites and payloads in multiple missions using a single interface.} Multiple satellite types can be controlled in a single interface, allowing for legacy payload migration and next-generation payload support. Quindar Mission Management allows you to track spacecraft, reserve contact information, automate tasking and intelligently respond when incidents occur on the ground or in space. Utilize advanced analytics and machine-learning to transform data into actionable intelligence. Predictive maintenance, trend analysis and anomaly detection will help you make faster decisions. Data-driven insights to propel your mission. Built to seamlessly integrate with your existing systems, and third-party apps. Your operations can evolve as your needs change, without being locked into a vendor. Analyze flight paths across all C2 systems.

InfraSonar, an infrastructure monitoring solution, offers real-time performance tracking, anomaly detection and operations optimization. It is easy to use, and can be adapted to the unique needs of an organization. Its modular design allows for easy addition of custom data collection tools. InfraSonar has an extensive API that allows for integration with BI platforms to report on data. It also supports different notification methods such as SMS, WhatsApp, emails, and voice calls. InfraSonar, a multi-tenant solution, is designed to scale easily to meet the needs of any Managed Service Provider or customer. Our platform provides a comprehensive set of industry-best practices to help you get started quickly and efficiently. InfraSonar is flexible enough to allow you to define your own conditions and views.

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.

Bedrock Security offers frictionless data protection, allowing you to embrace cloud-based and AI-based data growth without slowing down your business. Begin your data security journey and confidently move past just visibility. Understanding your material data using AI reasoning, and ensuring cloud and GenAI compliance is enforced by out-of-the box compliance frameworks. You must perform continuous security assessments because your data is not static. It's constantly changing, growing, and moving. Integrate behavior-based anomaly detectors, SIEM/SOAR Integration, policy enforcement and prioritization of data context to efficiently manage remediation and responses. Mature security programs enable frictionless business operations, while managing risks to the brand, revenue and reputation of an organization. Bedrock's AIR can help organizations with data minimization and identity and access minimization.

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.

ManageEngine CloudSpend is a cloud cost management solution that helps organizations monitor, analyze, and optimize their cloud expenditures across AWS, Azure, and Google Cloud. It provides real-time visibility into cloud spending, enabling businesses to implement cost-saving strategies such as chargebacks, resource rightsizing, and capacity planning. With features like Business Units for cost allocation, budget tracking with alerts, and detailed spending breakdowns by service, region, and account, CloudSpend enhances financial control. Additionally, AI-driven anomaly detection helps identify unexpected cost fluctuations, while optimization recommendations assist in reducing waste. With its intuitive interface and comprehensive reporting, CloudSpend empowers businesses to maximize cloud cost efficiency.

Digna is a solution powered by AI that addresses the challenges of data quality management in modern times. It is domain agnostic and can be used in a variety of sectors, including finance and healthcare. Digna prioritizes privacy and ensures compliance with stringent regulations. It's also built to scale and grow with your data infrastructure. Digna is flexible enough to be installed on-premises or in the cloud, and it aligns with your organization's needs and security policies. Digna is at the forefront of data quality solutions. Its user-friendly design, combined with powerful AI analytics, makes Digna an ideal solution for businesses looking to improve data quality. Digna's seamless integration, real time monitoring, and adaptability make it more than just a tool. It is a partner on your journey to impeccable data quality.

InfraView includes a proprietary benchmark that measures compute capacity, workload costs, and business-level context. This provides a universal language to assess key events and streamline stakeholder communication, as well as ensure operational effectiveness and resilience. Assess the impact of key business events, and accurately evaluate ROI in order to make informed investment decisions. Track workload costs in order to ensure accountability of teams and vendors, demonstrate ROI from different configurations and IT strategy, and maintain stakeholder alignment. Cost transparency and confidence can be achieved by identifying and eliminating unnecessary spending. This will ensure that each expenditure is needed and optimized. Use our WCU measurement in order to understand workload demand and capacity. Increase yield, anticipate constraints and improve planning for growth and scalability.

Manage, provision and scale compute infrastructure in any cloud. You can save up to 80% on your expenses while still maintaining high-availability and SLA. Elastigroup cluster software is designed to optimize performance as well as costs. It allows companies of all sizes and industries to use Cloud Excess Capacity to efficiently and effectively accelerate workloads and reduce infrastructure costs by up to 90%. Elastigroup uses proprietary price prediction technology in order to deploy onto Spot Instances reliably. Elastigroup can offensively rebalance clusters by predicting interruptions or fluctuations. Elastigroup can reliably leverage excess capacity across all major cloud providers, including EC2 Spot Instances(AWS), Low-priority VMss (Microsoft Azure), and Preemptible VMss (Google Cloud). This reduces risk and complexity and allows for simple orchestration and management at scale.

Anomalia®, which uses proprietary AI-Algorithms, detects potential fraud, risk, conflict, and non-compliance in financial or legal engagements at the transactional level. Anomalia®, anomaly detection in ACH Transactions uses customer transactional and behavioral data to detect fraudulent transactions and prevent them from being made. Anomalia®, anomaly detection in mobile bank transfers analyzes the authenticity of mobile checks and the accounts they were deposited. It also determines where their geo-spatial deposit locations are to detect fraud in transactions. Anomalia®, anomaly detection in wire transactions analyzes originators and beneficiaries, as well as their anomaly scores derived form other wire transactions to detect potential frauds. Anomalia®, anti money laundering, analyzes transactions, entities and linkages to detect money laundering transactions.

IBM Targetprocess, formerly Apptio cloudability. Set up team budgets, accurately forecast cloud spending and track it. Correlate cloud spending to business value for confidence in cloud investment decisions. Stay informed about costs and take action on anomalies or rightsizing opportunities for each team, service or project. Allocate all costs accurately, including support charges and containers, to ensure that cloud costs are fully charged back to the business. Use rightsizing capabilities to reduce operating costs and fund future investments. Team ownership of cloud spending and correlation between this spend and business value will help you make more effective strategic decisions. Develop a comprehensive strategy for cloud optimization that focuses on immediate cost savings. Included are a number of optimization recommendations that align with the business, while enabling accountability across the organization.

Real-time anomaly detection helps you identify user behavior, actions, or a set actions by users that do not match an expected pattern in a dataset. You can generate expected patterns from historical data sets, idealistic datasets, or both. We are big on customization at Tatvic. Now you can determine if the sudden spike in traffic to your website or mobile app is caused by bots or spam, or if there is another factor. Real-time anomaly detection allows you to identify faults in your website, such as broken UX caused by new releases or changes in the website or app. Real-time anomaly detection is available for more complex websites. It allows you to track whether your website or app is running smoothly.

IBM Z Anomaly Analytics software provides intelligent anomaly detection, grouping and identifying operational issues within your enterprise environment. IBM Z Anomaly Analytics builds a model based on historical IBM Z logs and metrics. The model is then used to score real-time data in order to detect anomalous behaviors. A correlation algorithm groups and analyses anomalous events in order to alert operations teams of emerging issues. In today's digital world, your essential services and applications need to be always available. With the increasing costs, skills shortages and changing user habits, detecting and determining hybrid application issues is becoming more complex for enterprises using hybrid applications. By detecting anomalies, you can identify operational issues and prevent costly incidents.

Enterprises can manage their data quality lifecycle proactively through contextual data checks, anomaly detection, and remediation. Expose anomalies, metadata and help teams take corrective action. Automate remediation workflows for quick and efficient error resolution. Maintain high data-quality and prevent errors from impacting business decisions. The SLA chart gives an overview of SLA. It includes the total number SLA monitoring performed and any violations. This chart will help you identify data areas that require further investigation or improvements.

Intelligent Threat Detection. Faster response. Active Directory is the root cause of 98% of all security threats. Nearly all of these threats involve data compromises on enterprise data storage. Our unique combination of detailed auditing and anomaly detection, real-time alerting, real-time data discovery and classification makes it easy to quickly identify, prioritize, and investigate threats. Protect sensitive data from rogue users and compromised user accounts. Our technology allows you to detect and investigate data threats to your most sensitive data like no other vendor. Data classification and data discovery are combined with threat detection to allow you to examine all events, changes and actions with context. You have complete visibility of Active Directory, Group Policy and File Servers, Office 365. NetApp, SharePoint. Box, Dropbox, Office 365. Security threats 10x faster detected and responded to Active Directory allows you to track movements and investigate threats as soon as they arise.

Predictive analytics can be used to drive business value. Improve processes and make informed decisions. Create predictive models for faster and more accurate forecasting and anomaly detection. TIM InstantML is a hyperautomated, augmented solution for machine learning for time series data to improve forecasting, anomaly detecting, and classification. TIM helps you discover the value of your data, and enables you leverage the power of prediction analytics. Automatic feature engineering of high quality while simultaneously adapting model structure and parameters. TIM offers flexible deployment options. Easy integration with your favorite platforms. TIM offers a variety of interfaces. TIM Studio offers a streamlined graphical user interface. With powerful, automated predictive analytics, you can become truly data-driven. Discover the predictive value of your data faster and more easily.

Supervizor's continuous Quality Assurance helps you to eliminate fraud and errors with its unparalleled anomaly detection. We are on a quest to help corporations produce accurate financial data. Supervizor offers corporations unique anomaly detection capabilities that can identify several types (including accounting errors) and fraud attempts. Organizations are faced with a growing number fraud schemes and errors that are caused by processes and people. Connect your ERP to Supervizor and let it consolidate journal entries based on our library of millions accounting patterns. Run ready-to-use tests continuously across multiple areas. Work together to ensure the quality of financial data across departments, systems, subsidiaries, and geographical areas. Automates the extraction and preparation of your data, saving you time by avoiding manual gathering, scrubbing and formatting. Identifies your most risky findings and prioritizes them for investigation, intelligently minimizing the number of false positives.

Logtail allows you to query your logs in the same way as a database query. Logtail offers superior SQL-compatible log management at an unbelievable price. You can store your logs in a structured format, and then search them with SQL. Hosted Grafana allows you to create actionable dashboards. Collaborate with colleagues to archive log fragments and receive alerts about anomaly detection.

Dashboards can be used to monitor service health, troubleshoot alarms, and conduct root cause analysis. Reduce MTTR by integrating ITSM and orchestration tools with real-time event correlation and automated incident prioritization. Advanced analytics such as adaptive thresholding, predictive health scores and anomaly detection can be used to monitor KPI data and prevent problems up to 30 minutes before they occur. Pre-built dashboards allow you to monitor performance and visually correlate services with the underlying infrastructure. Side-by-side comparisons of multiple services can be used to identify root causes. Machine learning algorithms and historical service scores can be used to predict future incidents. You can automatically update your rules using adaptive thresholding or anomaly detection based on historical and observed behavior. This will ensure that your alerts never go out of date.

With one platform, you can achieve your net zero vision. Edge Gateways and IoT Gateways allow you to access real-time data from sensors and automation systems on energy, water, and emission. Automated workflows, data scheduling, and data collection to collect data quickly and accurately. Acquire data across your value chain. Our powerful API and third party integrations allow you to consolidate all your sustainability data in one place. Auditable record of all data generation, corrections, and requests for change. Anomaly detection and automated data checks to ensure your data is clean and disclose-worthy. For manual and automated data correction, set up workflows, permissions, and validation rules.

Our Managed Detection & Response (MDR), service is designed to detect, threat hunt, anomaly detection, and response guidance. It uses a defense-in depth approach that monitors and correlates network activity, logs, and all other information. Our service is not like a traditional Managed Security Service Provider, (MSSP). It is designed to prevent future attacks. To identify threats in your environment, we use the most recent in cloud, big-data analytics technology and machine learning. To provide the highest level of monitoring, we use the best commercial, open-source, and internal tools and methods. We have partnered with Cylance to provide the best endpoint threat detection and prevention capability available on the market today, CylancePROTECT(™).

Based on biometric, behavioral and device data, we create a digital fingerprint for each user. Then, we verify users throughout their journey. We empower you to create policies that automatically responds to malware, phishing and RATs using Revelock Active Defense. The BionicID™, which is a combination of thousands of parameters, is built from behavioral biometrics, behavioral analysis, threat data, device, network, and threat data. The BionicID™, which is trained and ready for verification, can verify users in as little as two interactions. This reduces false positives and false negativities that can trip up users and flood your phone line. The BionicID™, regardless of the type of attack - malware or RATs, phishing, ID impersonation, or ID manipulation – will change the game. Our classification engine and anomaly detection engine provide continuous risk assessment that protects users and stops fraud.

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.