Today, smart technologies like Artificial Intelligence (AI) and Machine Learning (ML) are no longer a luxury for many businesses. The tide of AI and ML has leveled everything, from startups to established enterprises. They've become so intertwined with our daily routines that they no longer appear foreign.
You don’t need to wait any longer to incorporate AI and ML solutions, because you can do it right now with Virtus. This allows you to do more tasks more easily and efficiently, including automating your marketing process to increase sales, streamlining communication between you and your customers, preventing fraudulent activity, and protecting your most sensitive data.
Security AI & ML
ExtraHop's architecture uses a unique combination of on-premises tech and cloud services to support the full machine-learning process while protecting the confidentiality, integrity, privacy, and anonymity of customer data and activities.
While our machine learning service is based in ExtraHop's cloud in order to scale effortlessly with your enterprise, only de-identified metadata is sent to the cloud. ExtraHop processes over 1 PB of wire data per day, training our ML on the most objective and comprehensive data source available.
ExtraHop is on a mission to stop advanced threats with security that can’t be undermined, outsmarted, or compromised. Reveal(x) 360 is a dynamic cyber defense platform that uses cloud-scale AI to help enterprises detect and respond to advanced threats before they can compromise your business. With complete visibility from ExtraHop, enterprises can detect intrusions, conduct threat hunting, and investigate incidents with confidence.
Elasticsearch is an open source, RESTful, distributed search and analysis engine built on Apache Lucene. Since its launch in 2010, Elasticsearch has quickly become the most popular search engine, and is commonly used for log analysis, full text search, security intelligence, business analytics, and operational intelligence use cases.
3 main functions that can be obtained.
1. Search engine
2. Observability (monitoring)
3. Security (SIEM)
Tackling unknown threats using machine learning with Next-Generation Intrusion Prevention. With machine learning and statistical data modeling become so effective. At a high level, machine learning works by training a machine by extracting “feature vectors” from a dataset of benign and malicious examples in order to compute a mathematical model. This model is evaluated against network traffic and, in the case of the TippingPoint solutions, can make a real-time decision about whether the content appears to be benign or malicious. If the content is determined to be malicious, the TippingPoint solutions block the content from entering the network
Conversational Automation through Chatbot Powered by Natural Language Processing (NLP), provide better communication with Text-to-Speech, Speech-to-Text, and Sentiment Analysis, giving customers the experience of a conversational, personalized, and seamless chats with business across channels at the very moment. 3Dolphins offers you tools to navigate the closest touch points to your customers.
- SRM marketing to post social media (Facebook, twitter, and others) and broadcast messages (WA, Line, Telegram, etc.)
- SRM chatbot for 24/7 coversation to serve customers and provide services via chat that can be integrated with many channels (WA, Line, Telegram, Facebook, Instagram, Tokopedia, Shopee, default website)
- Sales SRM to perform analysis, work reminders and manage pipelines found from the SRM Chatbot.
- SRM service to book tickets from the chatbot to the team related to the case.
Google Cloud Platform
Google Cloud Platform, offered by Google, is a suite of cloud computing services that runs on the same infrastructure that Google uses internally for its end-user products, such as Google Search, Gmail, file storage, and YouTube. Alongside a set of management tools, it provides a series of modular cloud services including computing, data storage, data analytics and machine learning.Registration requires a credit card or bank account details.
Google Cloud Platform provides infrastructure as a service, platform as a service, and serverless computing environments.
In April 2008, Google announced App Engine, a platform for developing and hosting web applications in Google-managed data centers, which was the first cloud computing service from the company. The service became generally available in November 2011. Since the announcement of App Engine, Google added multiple cloud services to the platform.
Google Cloud Platform is a part of Google Cloud, which includes the Google Cloud Platform public cloud infrastructure, as well as Google Workspace (G Suite), enterprise versions of Android and Chrome OS, and application programming interfaces (APIs) for machine learning and enterprise mapping services.