Alternatives to FACT360

Hawk AI combines AI and traditional rule-based approaches to monitor financial transactions. This ensures financial institutions are in compliance with anti-money laundering regulations. The solution includes classic rule-based models. These are enhanced with auto-closing features that are based on machine-learning models that learn from investigators' decisions through our case manager. Hawk AI uses Anomaly Detection as a machine learning model that is unsupervised. This allows Hawk AI to identify new patterns in crime using insights from the platform's overarching nature which spans multiple financial institutions. The platform gives full transparency to machine decisions in order to provide the necessary clarity for regulators who require "explainable" AI. It also instills trust in the machine's actions. Hawk AI uses Artificial Intelligence to maximize automation and delivers significant cost savings through a 70% reduction in the required resources.

Brainspace stands as the most sophisticated and all-encompassing data analytics platform tailored for investigations, eDiscovery, intelligence extraction, and regulatory compliance. With our patented technology, you can significantly speed up the identification of crucial information. By utilizing the power of the leading solution in Augmented Intelligence, organizations can swiftly uncover valuable data insights while simultaneously minimizing their legal vulnerabilities. Below is a concise summary of Brainspace's essential features. Our platform showcases the pinnacle of Unsupervised Machine Learning, with an interactive clustering visualization that facilitates the exploration of topics of interest, no matter the data volume. It effectively illustrates entire communication networks, enabling users to swiftly pinpoint individuals of interest and delve into associated people and discussions. Each component of the dashboard is interactive, allowing for a more focused analysis, and ultimately enhancing the user experience. In addition, this innovative approach ensures that you have the tools needed to make informed decisions quickly.

With the help of AI, you can convert your semantic data into actionable insights that will help you make informed strategic decisions and shape your actions. As a leader in the field of Artificial Intelligence and a holder of advanced semantic data processing technologies, Synomia excels at transforming vast quantities of unstructured data into valuable insights, enabling brands to refine their strategies and activation processes. By analyzing significant and subtle market signals, you can uncover future trends that will guide your business direction. Additionally, our expertise allows us to pinpoint the most effective approaches for your digital strategies. We are proficient in all semantic AI technologies, applying them based on the specific needs of our clients, including supervised and unsupervised machine learning as well as rule-based systems. The capabilities of semantic AI empower the analysis of numerous sources and facilitate the development of methodologies focused on innovation and exploration, which are essential for creating strategies that resonate with target audiences. In today’s rapidly changing market, leveraging these insights is crucial for staying ahead of competitors and meeting consumer demands effectively.

Unsupervised automates analytics so teams charged with growing revenue can get straight to that why quickly pinpointing why metrics are moving the wrong direction and doubling down on what is working. With Unsupervised’s AI, sales and marketing teams from startups to the Fortune 50 are making data-backed decisions on the actions that most move the needle for their critical metrics without the endless slicing and dicing of dashboards, reports, and spreadsheets.

Paradise employs advanced unsupervised machine learning alongside supervised deep learning techniques to enhance data interpretation and derive deeper insights. It creates specific attributes that help in extracting significant geological information, which can then be utilized for machine learning analyses. The system identifies attributes that exhibit the most variation and influence within a geological context. Additionally, it visualizes neural classes and their corresponding colors from Stratigraphic Analysis, which reveal the spatial distribution of different facies. Faults are detected automatically through a combination of deep learning and machine learning methods. Furthermore, it allows for a comparison between machine learning classification outcomes and other seismic attributes against traditional high-quality logs. Lastly, it generates both geometric and spectral decomposition attributes across a cluster of computing nodes, achieving results in a fraction of the time it would take on a single machine. This efficiency enhances the overall productivity of geoscientific research and analysis.

Scalarr offers a cutting-edge solution for mobile ad fraud detection through advanced Machine Learning technology. To combat the most significant threats in mobile advertising, Scalarr employs a dual-layered approach with next-generation algorithms that achieve an impressive accuracy rate of up to 97% in identifying various forms of in-app fraud. Users can experience the benefits of Scalarr by exploring its capabilities to overview, analyze, and thwart mobile app install ad fraud using its unsupervised machine learning features before any harm occurs. The platform utilizes both unsupervised and semi-supervised machine learning techniques to automatically spot and understand fraud patterns across vast datasets. By examining countless clicks, installs, and post-install event variables, Scalarr significantly minimizes both false positives and false negatives in its detection process. With a sophisticated model design prioritizing result accuracy and thoroughness, Scalarr stands out as a robust tool that provides actionable insights at the individual conversion level, ensuring advertisers can make informed decisions regarding their ad campaigns. This comprehensive approach ultimately enhances the overall integrity of mobile advertising strategies.

The challenges posed by modern litigation, investigations, and compliance demands necessitate sophisticated tools that can reduce costs and risks while enhancing the likelihood of success. The OpenText™ Insight eDiscovery platform is specifically designed to expedite document review projects, regardless of their scale. Packed with features that automate the review process, Insight not only reduces expenses but also aids in the swift identification of critical data. These eDiscovery platforms play a crucial role in assisting legal teams to locate, analyze, review, classify, and produce electronically stored information (ESI) pertinent to various legal matters, including litigation and regulatory compliance. By leveraging advanced machine learning and data analytics, they effectively lower review costs, decrease data volumes, boost efficiency, and facilitate quicker access to essential information. The platform’s remarkable search capabilities enable rapid reviews, even for intricate field and text queries across vast document collections, with complex searches executing in mere seconds. As a result, legal teams can ensure that they are well-equipped to handle the growing complexity of legal data requirements.

Reveal Security ITDR detects identity threats - post authentication - in and across SaaS applications and cloud services. Powered by unsupervised machine learning, it continuously monitors and validates the behavior of trusted human users, APIs and other entities, accurately detecting anomalies that signal an in-progress identity threat.

MixMode's Network Security Monitoring platform offers unmatched network visibility, automated threat detection, and in-depth network investigation capabilities, all driven by advanced Unsupervised Third-Wave AI technology. This platform provides users with extensive visibility, enabling them to swiftly pinpoint threats in real time through Full Packet Capture and long-term Metadata storage. With its user-friendly interface and straightforward query language, any security analyst can conduct thorough investigations, gaining insights into the complete lifecycle of threats and network irregularities. Leveraging the power of Third-Wave AI, MixMode adeptly detects Zero-Day Attacks in real time by analyzing typical network behavior and highlighting any unusual activity that deviates from established patterns. Initially developed for initiatives at DARPA and the Department of Defense, MixMode's Third-Wave AI eliminates the need for human training, allowing it to establish a baseline for your network within just seven days, achieving an impressive 95% accuracy in alerts while also minimizing and identifying zero-day attacks. Additionally, this innovative approach ensures that security teams can respond rapidly and effectively to emerging threats, enhancing overall network resilience.

Effortlessly extract forensic data from computers with enhanced speed and simplicity. Reveal all hidden information within a computer system. Accelerate your search for pertinent data through advanced file indexing and high-performance searching capabilities. Quickly and automatically retrieve passwords, decrypt files, and recover deleted data from various operating systems, including Windows, Mac, and Linux. Utilize features like hash matching and drive signature analysis to uncover evidence and detect suspicious activities. Analyze all files with ease and create an automatic timeline of user interactions. Experience a comprehensive Case Management Solution that allows you to oversee your entire digital investigation through the innovative reporting features of OSF. Customize your reports, incorporate narratives, and attach reports from other tools directly into the OSF documentation. The Volatility Workbench provides a user-friendly graphical interface for the Volatility tool. OSForensics also offers training courses tailored to a wide array of users and expertise levels. Additionally, write a disk image simultaneously to multiple USB flash drives for increased efficiency. This robust functionality sets a new standard in digital forensic investigations.

Luminance utilizes both supervised and unsupervised machine learning techniques in its document review process. Accessible through the cloud, Luminance is designed to operate seamlessly, automatically analyzing and comprehending various documents. The platform delivers its AI-driven insights to legal professionals through a suite of interactive tools that emphasize significant data points and irregularities. Specifically, Luminance Diligence is tailored for corporate attorneys, facilitating over 25 categories of contract reviews, which encompass M&A due diligence, real estate matters, regulatory compliance, and document redaction. By leveraging advanced machine learning capabilities, legal practitioners using Luminance Diligence can conduct swift and thorough contract assessments, gaining unprecedented insights. Additionally, Luminance Discovery serves as a comprehensive eDiscovery solution, employing artificial intelligence to revolutionize the approach lawyers take in investigations, litigation, and arbitration processes. This platform features intelligent data ingestion and culling tools, enhancing the efficiency of early case assessment (ECA) and ensuring compliance with court standards during production. Ultimately, Luminance is transforming the legal landscape by integrating innovative technology into routine practices.

OpenText™ Core Behavioral Signals is a sophisticated threat detection tool that uses unsupervised machine learning and user entity behavior analytics (UEBA) to uncover behavioral anomalies that signal insider threats, advanced persistent threats, and novel attacks. Its 100% online learning models automatically adapt to the unique behavior patterns of an organization, eliminating the need for constant rule maintenance or threshold updates. This continuous adaptation helps threat hunters detect hard-to-find attacks that traditional rule-based systems might miss. The solution converts vast amounts of data into a focused set of actionable alerts, significantly increasing analyst productivity. Its intuitive dashboards offer a high-level organizational risk overview, while detailed risk timelines and anomaly visualizations assist in deep investigations. Core Behavioral Signals also supports real-time collaboration among analysts, enabling faster threat identification and response. Integration with SOAR and ticketing systems allows for automated workflows and incident management. OpenText provides professional services and expert support to ensure successful deployment and optimization.

W4 enables investigators to swiftly examine digital evidence, quickly pinpoint relevant items, and effortlessly compile their discoveries. Intella Team serves as a collaborative, multiuser solution designed for mid-sized cases that require teamwork in the review process. Meanwhile, Intella Connect is geared towards enterprises, facilitating collaboration among teams to achieve superior outcomes in their cases. For cases with extensive document collections, Predictive Coding is recognized as a more efficient review approach, as it eliminates the need for thorough examination of every potentially relevant document to make responsiveness assessments. In many instances, its accuracy matches or even surpasses that of manual review, thereby not only streamlining the document review process but also maintaining high standards of quality while reducing time and costs. W4 equips users with comprehensive tools necessary for the swift identification of the most valuable evidence sources for their cases, enhancing overall investigative efficiency. This combination of features positions W4 as an indispensable asset in any investigator's toolkit.

InsightFinder Unified Intelligence Engine platform (UIE) provides human-centered AI solutions to identify root causes of incidents and prevent them from happening. InsightFinder uses patented self-tuning, unsupervised machine learning to continuously learn from logs, traces and triage threads of DevOps Engineers and SREs to identify root causes and predict future incidents. Companies of all sizes have adopted the platform and found that they can predict business-impacting incidents hours ahead of time with clearly identified root causes. You can get a complete overview of your IT Ops environment, including trends and patterns as well as team activities. You can also view calculations that show overall downtime savings, cost-of-labor savings, and the number of incidents solved.

OpenText eDiscovery offers a fully integrated solution that empowers legal teams to manage the entire e-discovery lifecycle with speed and precision using cutting-edge AI and analytics. By leveraging machine learning and generative AI technologies, the platform prioritizes likely relevant documents, drastically cutting down on the volume that requires manual review and improving accuracy. It efficiently collects data from over 45 sources, including ECM systems, emails, and cloud repositories, while automating personal data protection through advanced redaction capabilities. Early case assessment tools provide actionable insights early in the legal process, enabling faster case strategies. Users benefit from comprehensive analytics, such as sentiment analysis and entity recognition, powered by OpenText’s proprietary AI. Deployment flexibility allows organizations to choose from on-premises, public or private cloud, or hybrid models, accommodating varied data security needs. The platform also integrates seamlessly with case management systems, ensuring smooth production and review workflows. Additionally, expert professional services help accelerate projects and ensure optimized outcomes across all stages of e-discovery.

Ediscovery has significantly evolved over its brief existence, with KLDiscovery leading the charge in delivering optimal solutions and tools to help clients minimize expenses while quickly accessing pertinent information. They present a comprehensive suite of eDiscovery analytics tools paired with extensive human expertise, ensuring that clients maximize the benefits of their chosen solutions. Failing to implement eDiscovery analytics puts organizations at a heightened risk of incurring higher legal expenses and overlooking essential documents. KLD Analytics, crafted through the collaboration of data scientists, software engineers, and legal experts, stands out as the most sophisticated toolkit available today. It enables users to rank and categorize documents with exceptional precision using machine learning technologies. Furthermore, the system automates the routing and distribution of documents, thereby enhancing the efficiency of the review process. It allows for determining the connections between messages and identifying those that are most comprehensive. By recognizing and clustering similar records, it emphasizes the subtle distinctions, facilitating a quicker review turnaround. Overall, leveraging these advanced analytics can transform the eDiscovery process into a more effective and cost-efficient endeavor.

Deep Talk provides a rapid solution for converting text from various sources such as chats, emails, surveys, reviews, and social media into actionable business intelligence. Our user-friendly AI platform allows you to delve into customer communications effortlessly. Utilizing unsupervised deep learning models, we analyze your unstructured text data to uncover valuable insights. Our specialized "Deepers" are pre-trained deep learning models designed for customized detection within your information. With the "Deepers" API, you can perform real-time text analysis and tag conversations or text effectively. This enables you to connect with individuals who are interested in your product, seek new features, or voice their concerns. Furthermore, Deep Talk delivers cloud-based deep learning models as a service, making it simple for users to upload their data or integrate with supported services. By doing so, you can extract comprehensive insights and valuable information from platforms like WhatsApp, chat discussions, emails, surveys, and social networks. This transformative approach ensures that your business can stay ahead by understanding customer needs and sentiments with ease.

Gather, manage, and safeguard information for eDiscovery, investigations, and compliance mandates. OpenText™ EnCase™ Information Assurance offers a robust and scalable platform for the compliant handling of electronically stored information (ESI) relevant to litigation, compliance, and regulatory inquiries. Extract and gather data from emerging sources and collaborative tools such as Microsoft Teams and Slack. Secure conversations and maintain data integrity in a manner that is forensically sound and admissible in court. Enhance operational efficiency and streamline processes with an upgraded web application that features template creation and automated workflows, enabling teams to maximize productivity with limited resources. Detect sensitive and regulated information throughout networks to facilitate prompt and informed decision-making, ensuring swift responses to internal investigations, regulatory inquiries, and eDiscovery needs. This comprehensive approach not only improves compliance but also strengthens overall organizational resilience in the face of regulatory scrutiny.

You can search for and find relevant information by coordinating and real-time monitoring the case with your investigator team. This will allow you to access explicit evidence data in court-admissible format. The software conforms to the EDRM benchmark values. The software is compliant with the EDRM model benchmark values. Learn why an Email Examiner is essential for discovery and case file management during litigation. Dig deeper to uncover and respond to policy violations by companies with real facts and insight. Find the leak in your trade secret and combat corporate espionage and infringement. This software will provide you with the email break that you need.

Our identity verification and risk management solutions facilitate the instantaneous identification and tracking of individuals, businesses, assets, and their connections, granting organizations the ability to function with assurance. Presenting CORE™, a platform designed specifically for enterprises but adaptable to suit organizations of any scale, our innovative cloud-native technology stands as the most sophisticated identity intelligence solution available today. It features a highly automated framework that is engineered for large-scale applications, utilizing machine learning to enhance its capabilities. With automated monitoring, versatile APIs, and state-of-the-art batch processing, it offers near-unlimited capacity and exceptional performance. By evaluating billions of data points in real-time, it provides enhanced intelligence and unmatched insights that aid in decision-making processes. The system operates within a robust, fully auditable, multi-layered environment that adheres to the highest compliance standards in the industry. Furthermore, it employs a combination of supervised and unsupervised machine learning techniques to uncover even more profound insights. This comprehensive approach not only optimizes operational efficiency but also significantly improves risk management strategies for organizations.

Scikit-learn offers a user-friendly and effective suite of tools for predictive data analysis, making it an indispensable resource for those in the field. This powerful, open-source machine learning library is built for the Python programming language and aims to simplify the process of data analysis and modeling. Drawing from established scientific libraries like NumPy, SciPy, and Matplotlib, Scikit-learn presents a diverse array of both supervised and unsupervised learning algorithms, positioning itself as a crucial asset for data scientists, machine learning developers, and researchers alike. Its structure is designed to be both consistent and adaptable, allowing users to mix and match different components to meet their unique requirements. This modularity empowers users to create intricate workflows, streamline repetitive processes, and effectively incorporate Scikit-learn into expansive machine learning projects. Furthermore, the library prioritizes interoperability, ensuring seamless compatibility with other Python libraries, which greatly enhances data processing capabilities and overall efficiency. As a result, Scikit-learn stands out as a go-to toolkit for anyone looking to delve into the world of machine learning.

Cutting expenses, shortening review durations, and streamlining the eDiscovery process are essential goals for many organizations. Venio Systems offers eDiscovery solutions designed to help teams overcome common challenges associated with eDiscovery. Achieve a remarkable tenfold increase in efficiency through a single platform. Utilize automation and artificial intelligence (AI) to lessen the burden of manual tasks. This intuitive and budget-friendly software revolutionizes the eDiscovery experience, making it more efficient. Businesses, service providers, law firms, and government entities can all enhance their workflows by employing targeted technology. Take control of your eDiscovery efforts with a platform that incorporates established best practices and automation, facilitating easier implementation and minimizing the risk of data overload. Handle intricate investigations with a cohesive solution that guarantees precision and uniformity. Increase your market presence while decreasing costs thanks to the industry’s highest throughput, which exceeds 10TB per day. Rapidly discover critical evidence and implement a tiered review process to manage high volumes effectively. Ultimately, Venio Systems empowers teams to optimize their eDiscovery processes and achieve more effective outcomes.

ZIF transforms IT Operations by shifting the focus from a reactive to a proactive approach, facilitating seamless IT processes. It features a unified command interface that consolidates data from various monitoring tools and devices, supported by over 100 plugins. This setup delivers actionable insights on events, helping to minimize infrastructure noise by correlating events and reducing false alarms. Additionally, it aids in swiftly identifying root causes by utilizing infrastructure and application heat maps for quicker issue detection. With the aid of predictive analytics, potential problems are forecasted before they can cause significant disruptions, employing both supervised and unsupervised machine learning techniques. The system also logs incidents in the IT Service Management (ITSM) tool while ensuring that the appropriate personnel are notified through the Virtual Supervisor. Furthermore, it automates repetitive tasks and complex workflows, enhancing overall efficiency. The benefits include comprehensive visibility across the enterprise, improved operational efficiency through noise reduction, and the ability to proactively identify risks based on patterns without relying on a Configuration Management Database (CMDB). Consequently, organizations can achieve faster Mean-Time-To-Repair (MTTR) and maintain a more resilient IT infrastructure overall.

NXG Logic Explorer is a comprehensive machine learning software designed for Windows, aimed at facilitating data analytics, predictive analytics, unsupervised class discovery, supervised class prediction, and simulation tasks. By streamlining various processes, it allows users to uncover new patterns in exploratory datasets and engage in hypothesis testing, simulations, and text mining to derive valuable insights. Among its notable features are the automatic cleaning of disorganized Excel input files, parallel feature analysis for generating summary statistics, Shapiro-Wilk tests, histograms, and frequency counts across multiple continuous and categorical variables. The software also supports the simultaneous execution of ANOVA, Welch ANOVA, chi-squared, and Bartlett's tests for various variables, while automatically creating multivariable linear, logistic, and Cox proportional hazards regression models based on a pre-set p-value criterion to filter results from univariate analyses. Overall, NXG Logic Explorer serves as a powerful tool for researchers and analysts who seek to enhance their data analysis capabilities efficiently.

Smart Contract Analytics (SCA), a comprehensive Contract Discovery & Analytics platform powered with Artificial Intelligence & Machine learning, is a Contract Discovery and Analytics platform. The platform gives organizations a 360-degree view of contracts and similar documents, allowing them to extract, review and analyze critical information and make informed decisions. Features of the product 1) NLP and deep-learning techniques for extracting metadata 2) Export the data to Excel or the client's preferred format, and push the data into any CLM system or downstream system. 3) Create dynamic ML models using the contract type 4) The Platform provides adapters to different data sources to retrieve legacy documents (For example, FTP, Google Drive and SharePoint, Dropbox, Box, S3 etc. 5) The Platform can separate contracts based upon the type of contract (e.g. MSA, NDA, SOW etc.) 6) Document OCR capability that can convert images, PDFs and scanned documents into text.

XLNet introduces an innovative approach to unsupervised language representation learning by utilizing a unique generalized permutation language modeling objective. Furthermore, it leverages the Transformer-XL architecture, which proves to be highly effective in handling language tasks that require processing of extended contexts. As a result, XLNet sets new benchmarks with its state-of-the-art (SOTA) performance across multiple downstream language applications, such as question answering, natural language inference, sentiment analysis, and document ranking. This makes XLNet a significant advancement in the field of natural language processing.

B.I.R.B.AL., our innovative AI engine, has been developed using a vast database comprising over a million articles in various languages, leveraging advanced Natural Language Processing (NLP) techniques. This technology encompasses features such as machine learning classification, interlanguage clustering, ranking of news topics, and extraction-based summarization, all designed to tailor news filtering for diverse users and applications. Employing both supervised and unsupervised machine learning algorithms enhanced by Deep Learning, B.I.R.B.AL. enables users to move beyond conventional online content monitoring, identifying the most pertinent topics emerging on the web. By gathering and analyzing extensive data sets, users can derive strategic insights that enhance their decision-making capabilities. Additionally, B.I.R.B.AL. empowers users to enrich their financial analyses with comprehensive web data collections, allowing for a deeper understanding of performance trends through a powerful new tool, while also effectively applying structured web data to predictive analytics and risk modeling strategies. This multifaceted approach ensures that organizations remain at the forefront of data-driven insights and decision-making.

Introducing a user-friendly interface that retains robust machine learning capabilities, Servient swiftly hones in on critical evidence to derive insights for automating legal applications. It offers comprehensive functionality from data upload to production, effectively optimizing the eDiscovery workflow. With self-service ingestion and integrated active machine learning, Servient accelerates the eDiscovery experience. This platform merges natural language processing with sophisticated machine learning techniques, granting unparalleled flexibility and power for legal automation. Designed to operate in the cloud, it takes advantage of scalable resources, improved security measures, and cost efficiency. Depart from outdated "lift and shift" legacy systems by retaining control over your data ingestion process, all while receiving the necessary support. Servient encompasses all essential eDiscovery functionalities within a unified solution, ensuring that advanced data science is seamlessly incorporated into an easy-to-navigate interface. This innovative approach not only enhances efficiency but also empowers users to manage their legal data with confidence.

Reclaim oversight of your electronic communications and documents while revealing their real worth, all from one integrated platform. Dive deep into obscure file repositories to enhance security measures, refine classification strategies, manage lifecycles effectively, and much more. Through continual file analysis, ZL File Analysis and Management equips users with the flexibility to manage ongoing projects while preparing for future initiatives simultaneously. Execute the entire eDiscovery process, from data collection to production, without the need to transfer any data. Carry out rapid enterprise searches that can identify pertinent information in mere seconds, allowing for a comprehensive understanding of your data prior to formulating Early Case Assessment (ECA) strategies. Strengthen compliance oversight with detailed and customizable lexicons tailored to your needs. Produce an advanced sample of emails that accurately reflects all outgoing messages for thorough review. In addition, perform both pre- and post-review compliance checks on electronic communication channels to ensure adherence to regulatory requirements, thereby further enhancing your organization's compliance posture. This holistic approach not only streamlines your processes but also fortifies your data management strategies for the future.

Voltaire stands out as a premier jury research tool designed specifically for attorneys and litigation professionals. By leveraging innovative, patent-pending technology that utilizes artificial intelligence and machine learning, Voltaire meticulously analyzes a vast array of public, social, and behavioral data related to potential jurors and witnesses, equipping legal teams with valuable insights. This application aids in swiftly identifying potential concerns and concealed biases, ultimately contributing to more favorable trial results. With Voltaire, lawyers can enhance their preparation and strategy for jury selection, ensuring a more thorough understanding of their audience.

IBM's Intelligent Video Analytics is assisting organizations and agencies globally in interpreting footage from stationary cameras, such as those utilized for security, CCTV, and traffic monitoring, to derive essential insights and discern patterns hidden within extensive hours of recorded video. It provides real-time notifications to highlight significant events, rich indexing based on content to pinpoint vital images and trends, and a standards-compliant, adaptable framework. Additionally, it allows for the incorporation of both pre-recorded videos from fixed cameras and mobile ones. By processing these video files, analysts can swiftly extract vital details and locate pertinent images, potentially expediting investigations. Furthermore, the system's advanced facial recognition capabilities can enhance lead generation and risk evaluation, enabling the correlation of faces within the footage to an agency's watch list and facilitating the identification of persons of interest, which may significantly hasten the investigative process. This multifaceted approach not only streamlines video analysis but also empowers users with the tools necessary to respond to incidents more effectively.

Cortical.io offers AI-based Natural Language Understanding solutions such as Contract Intelligence or Message Intelligence that enable enterprises to search, extract, analyze, and annotate key information from any type of unstructured text. The Cortical.io artificial Intelligence-based solutions can quickly be trained unsupervised in any business domain's specialized vocabulary and can work across multiple languages. They have been used in a variety of business use cases at several Fortune 500 companies.

Examine and visualize security information to swiftly uncover the underlying causes of possible security threats. Amazon Detective simplifies the process of analyzing and investigating, allowing for a quick identification of the origins of potential security concerns or unusual behaviors. By automatically gathering log data from your AWS resources, Amazon Detective employs machine learning, statistical methods, and graph theory to create an interconnected dataset that facilitates quicker and more efficient security probes. Additionally, AWS security services, such as Amazon GuardDuty, Amazon Macie, and AWS Security Hub, along with third-party security solutions, can help recognize potential security issues or alerts. These tools are invaluable for notifying you of irregularities and guiding you on how to resolve them. However, there may be instances when a security alert requires a deeper investigation, necessitating a thorough analysis of additional information to pinpoint the root cause and take appropriate action. Such comprehensive investigations can enhance your overall security posture and responsiveness to threats.

Streamline your legal expenditures while enhancing data integrity through Matter Now, a cutting-edge product from PwC. Utilizing the power of artificial intelligence and machine learning, Matter Now automates the entire eDiscovery process. Tackle the hurdles posed by remote work by integrating with widely used cloud technologies. Take advantage of adaptable solutions to consolidate and oversee your data, mitigate risks, and sustain productivity levels. With intuitive visual tools, stakeholders from legal, human resources, and risk management can work together to manage expenses, prevent penalties, and make educated choices. Foster virtual teamwork in today's remote work environment by providing real-time access to a unified overview of all matters, including essential metrics related to legal, regulatory, and investigative issues. By significantly minimizing manual tasks, teams can redirect their efforts toward extracting valuable insights from the data and achieving desired results, ultimately enhancing overall efficiency and effectiveness in legal operations.

Comprehensive end-to–end eDiscovery software. Exterro's software platform allows you to manage and optimize all of your e-discovery activities from preservation to production. Exterro unifies all aspects of e-discovery, making it easier to get to the bottom of cases faster and at a fraction the cost. Exterro Software Platform, a single, integrated solution that unifies all Exterro's E-Discovery products and Information Governance products, is the Exterro Software Platform. You can quickly collect data from many data sources and learn more about your case with over 30 data integrations. You can save time and money by only collecting relevant data. This will reduce the total data set. Exterro's Privacy Solutions enable your team to quickly organize processes for complying with the critical requirements of the European Union’s General Data Protection Regulation, California Consumer Privacy Act (CCPA), and other privacy regulations.

Uncover innovative solutions designed to revolutionize the way you protect your organization's data across various clouds, devices, and platforms. Navigate data vulnerabilities through effective pseudonymization and robust security measures. Unveil concealed threats with adaptable machine learning models that do not necessitate endpoint agents. Collaborate seamlessly with teams from security, human resources, and legal sectors through integrated investigative processes. Proactively recognize, examine, and swiftly respond to potential insider threats. Perform a thorough assessment of possible insider risks within your organization without needing to set up any insider risk policies beforehand. Instantly generate a policy using customizable machine learning frameworks that eliminate the need for scripting or endpoint deployment. Detect risks related to patient data misuse through built-in indicators and monitors that leverage information from electronic medical record systems. Gain clarity on the context of alerts to streamline your investigative efforts toward the most concerning activities, ensuring a comprehensive approach to data security. This proactive stance not only enhances your risk management strategies but also fortifies trust within your organization.

LinkShadow Network Detection and Response NDR ingests traffic and uses machine-learning to detect malicious activities and to understand security threats and exposure. It can detect known attack behaviors and recognize what is normal for any organization. It flags unusual network activity that could indicate an attack. LinkShadow NDR can respond to malicious activity using third-party integration, such as firewall, Endpoint Detection and Response, Network Access Control, etc. NDR solutions analyze the network traffic in order to detect malicious activities inside the perimeter, otherwise known as the "east-west corridor", and support intelligent threat detection. NDR solutions passively capture communications over a network mirror port and use advanced techniques such as behavioral analytics and machine-learning to identify known and unidentified attack patterns.

Influent offers an innovative method for performing link analysis on transactional data graphs. This tool enables analysts to explore and visualize the movement of transactions among billions of accounts, entities, and transactions, thereby uncovering suspicious behaviors and key actors. By streamlining monitoring processes and expediting alert resolutions, investigators can effectively trace monetary flows. Evidence is presented in a clear, visual format that is easy to comprehend. As investigations evolve, the platform allows for the integration of new data sources, improving the analysis of complex and unorganized datasets. Its robust dashboards emphasize crucial information, facilitating a deeper understanding of intricate communication networks and clarifying who had knowledge of specific events and timelines. Influent serves as a unified investigative platform, merging various imperfect data sources to provide quick access to all relevant information about a particular entity. The incorporation of fuzzy searching and automated entity resolution significantly minimizes the need for data cleaning, enabling analysts to concentrate on the most vital elements of their investigation. Overall, Influent transforms the investigative process, making it more efficient and effective in uncovering insights from vast datasets.

L7 Defense protects organizations against API-borne attacks by protecting their applications, customers, employees, partners, and infrastructure. APIs are essential for data sharing and application integration. They also offer an attractive path for malicious attack that exposes organizations to constantly evolving threats. L7 Defense is a team of innovators and experienced leaders who revolutionize the way organizations protect APIs from attacks and expose them using disruptive, AI-based technology. Ammune(TM). L7 Defense's core technology was awarded a Product Leadership Award by Frost & Sullivan in 2020 for its innovative unsupervised learning AI-based approach to applicative protection at API resolution. Financial institutions are exposed to cybersecurity risk by using cloud frontend with legacy (on-premise) backend layers through APIs.

Respond to customer perceptions more rapidly than ever before by uncovering and prioritizing your key brand drivers. Evaluate your brand equity in comparison to competitors and identify emerging trends within your industry. Ensure your marketing strategies and positioning align with current trends while gaining insights into your customers' beliefs. Communicate effectively by resonating with their language and understanding how shifts in customer perceptions influence your brand. Utilizing the power of Artificial Intelligence, our analytics platform examines billions of customer opinions from diverse data sources in real-time to highlight the topics that matter most to consumers. Clootrack expertly differentiates between valuable reviews and trivial remarks, while also grasping the emotional weight behind opinions to pinpoint customers’ urgent needs with clarity. This comprehensive understanding empowers brands to adapt and thrive in a constantly evolving market landscape.

Predator is crafted to assist organizations in identifying and curbing fraudulent activities while ensuring adherence to Anti-Money Laundering (AML) standards. This platform provides continuous oversight of transactions across multiple avenues, such as ATMs, credit cards, digital wallets, and online banking services. Utilizing a combination of machine learning and rule-based detection methods, it discerns unusual patterns and behaviors in customer activity, allowing for prompt intervention to counteract potential fraud. The system is flexible enough to adapt to shifting global regulations, enabling businesses to adjust risk parameters, formulate tailored rules, and set up workflows that meet their specific AML needs. Moreover, it boosts operational effectiveness through streamlined case management, focusing on critical alerts and facilitating thorough investigations. GBG's Transaction Monitoring solution is committed to maintaining data security, boasting ISO 27001:2013 certification, and provides round-the-clock support to help businesses navigate challenges. It empowers organizations not only to comply with regulations but also to enhance their overall fraud prevention strategies effectively.

Skyline AI has created a platform that enables quicker and more thorough evaluations of commercial real estate assets. As a pioneering technology company in the realm of artificial intelligence for commercial real estate, Skyline AI presents a revolutionary approach to investment techniques and capabilities. By aggregating data from a multitude of sources, Skyline AI employs its unique blend of supervised and unsupervised machine learning models to extract valuable insights. These insights significantly enhance existing knowledge, leading to improved outcomes in the investment analysis process. The AI-generated insights we offer are truly one-of-a-kind, giving our partners a competitive edge while others remain uninformed. With the investment management technology provided by Skyline AI, seasoned real estate professionals can revolutionize how they make investment choices throughout the entire property lifecycle. Our collaborators stand at the forefront, ready to capitalize on the dramatically transformed landscape of real estate investment opportunities. This innovative approach not only reshapes the market but also positions our partners as leaders in a rapidly evolving sector.

Clustify is a powerful text analysis tool utilized in e-discovery and various other sectors. It has the capability to process millions of documents efficiently on a standard desktop computer. Users can choose to store documents either in a database or as separate files on their hard drive, enabling Clustify to integrate seamlessly with a variety of platforms and tools. The software is compatible with TAR 1.0, 2.0, and the latest TAR 3.0 workflows, enhancing its versatility. Notably, Clustify is the pioneering software that provides real-time predictive coding, allowing users to instantly see the effects of reviewing a training document as they work. Additionally, it features document clustering, which can aggregate documents that share conceptual similarities, are near-duplicates, or belong to the same email conversation. Hot Neuron, the company behind Clustify, was established in February 2000, focusing on the creation of advanced information retrieval technologies and services. The organization takes pride in its commitment to developing cutting-edge methods and algorithms, aimed at enabling users to efficiently find and organize information to significantly boost their companies' productivity. With an ongoing dedication to innovation, Hot Neuron continually seeks to enhance its offerings in information management.

GloVe, which stands for Global Vectors for Word Representation, is an unsupervised learning method introduced by the Stanford NLP Group aimed at creating vector representations for words. By examining the global co-occurrence statistics of words in a specific corpus, it generates word embeddings that form vector spaces where geometric relationships indicate semantic similarities and distinctions between words. One of GloVe's key strengths lies in its capability to identify linear substructures in the word vector space, allowing for vector arithmetic that effectively communicates relationships. The training process utilizes the non-zero entries of a global word-word co-occurrence matrix, which tracks the frequency with which pairs of words are found together in a given text. This technique makes effective use of statistical data by concentrating on significant co-occurrences, ultimately resulting in rich and meaningful word representations. Additionally, pre-trained word vectors can be accessed for a range of corpora, such as the 2014 edition of Wikipedia, enhancing the model's utility and applicability across different contexts. This adaptability makes GloVe a valuable tool for various natural language processing tasks.

Data Identification Manager™, which uses the same technology, rules, and ongoing classification stewardship across the company, takes the hassle out of classifying your data. This ensures that your entire IT estate is protected from unreliable and irrelevant data.