Syniverse and RealNetworks Collaboration Brings Kontxt-Based Machine Learning Analytics to Block Spam and Phishing Text Messages – Business Wire
TAMPA, Fla. & SEATTLE--(BUSINESS WIRE)--Syniverse, the worlds most connected company, and RealNetworks, a leader in digital media software and services, today announced they have incorporated sophisticated machine learning (ML) features into their integrated offering that gives carriers visibility and control over mobile messaging traffic. By integrating RealNetworks Kontxt application-to-person (A2P) message categorization capabilities into Syniverse Messaging Clarity, mobile network operators (MNOs), internet service providers (ISPs), and messaging aggregators can identify and block spam, phishing, and malicious messages by prioritizing legitimate A2P traffic, better monetizing their service.
Syniverse Messaging Clarity, the first end-to-end messaging visibility solution, utilizes the best-in-class grey route firewall, and clearing and settlement tools to maximize messaging revenue streams, better control spam traffic, and closely partner with enterprises. The solution analyzes the delivery of messages before categorizing them into specific groupings, including messages being sent from one person to another person (P2P), A2P messages, or outright spam. Through its existing clearing and settlement capabilities, Messaging Clarity can transform upcoming technologies like Rich Communication Services (RCS) and chatbots into revenue-generating products and services without the clutter and cost of spam or fraud.
The foundational Kontxt technology adds natural language processing and deep learning techniques to Messaging Clarity to continually update and improve its understanding of messages and clarification. This new feature adds to Messaging Claritys ability to identify, categorize, and ascribe a monetary value to the immense volume and complexity of messages that are delivered through text messaging, chatbots, and other channels.
The Syniverse and RealNetworks Kontxt message classification provides companies the ability to ensure that urgent messages, like one-time passwords, are sent at a premium rate compared with lower-priority notifications, such as promotional offers. The Syniverse Messaging Clarity solution also helps eliminate instances of extreme message spam phishing (smishing). This type of attack recently occurred with a global shipping company when spam texts were sent to consumers with the request to click a link to receive an update on a package delivery for a phantom order.
CLICK TO TWEET: Block #spam and categorize & prioritize #textmessages with @Syniverse & @RealNetworks #Kontxt. #MNO #ISPs #Messaging #MachineLearning #AI http://bit.ly/2HalZkv
Supporting Quotes
Syniverse offers companies the capability to use machine learning technologies to gain insight into what traffic is flowing through their networks, while simultaneously ensuring consumer privacy and keeping the actual contents of the messages hidden. The Syniverse Messaging Clarity solution can generate statistics examining the type of traffic sent and whether it deviates from the senders traffic pattern. From there, the technology analyzes if the message is a valid one or spam and blocks the spam.
The self-learning Kontxt algorithms within the Syniverse Messaging Clarity solution allow its threat-assessment techniques to evolve with changes in message traffic. Our analytics also verify that sent messages conform to network standards pertaining to spam and fraud. By deploying Messaging Clarity, MNOs and ISPs can help ensure their compliance with local regulations across the world, including the U.S. Telephone Consumer Protection Act, while also avoiding potential costs associated with violations. And, ultimately, the consumer -- who is the recipient of more appropriate text messages and less spam -- wins as well, as our Kontxt technology within the Messaging Clarity solution works to enhance customer trust and improve the overall customer experience.
Digital Assets
Supporting Resources
About Syniverse
As the worlds most connected company, Syniverse helps mobile operators and businesses manage and secure their mobile and network communications, driving better engagements and business outcomes. For more than 30 years, Syniverse has been the trusted spine of mobile communications by delivering the industry-leading innovations in software and services that now connect more than 7 billion devices globally and process over $35 billion in mobile transactions each year. Syniverse is headquartered in Tampa, Florida, with global offices in Asia Pacific, Africa, Europe, Latin America and the Middle East.
About RealNetworks
Building on a legacy of digital media expertise and innovation, RealNetworks has created a new generation of products that employ best-in-class artificial intelligence and machine learning to enhance and secure our daily lives. Kontxt (www.kontxt.com) is the foremost platform for categorizing A2P messages to help mobile carriers build customer loyalty and drive new revenue through text message classification and antispam. SAFR (www.safr.com) is the worlds premier facial recognition platform for live video. Leading in real world performance and accuracy as tested by NIST, SAFR enables new applications for security, convenience, and analytics. For information about our other products, visit http://www.realnetworks.com.
RealNetworks, Kontxt, SAFR and the companys respective logos are trademarks, registered trademarks, or service marks of RealNetworks, Inc. Other products and company names mentioned are the trademarks of their respective owners.
Results shown from NIST do not constitute an endorsement of any particular system, product, service, or company by NIST: https://www.nist.gov/programs-projects/face-recognition-vendor-test-frvt-ongoing.
View original post here:
Syniverse and RealNetworks Collaboration Brings Kontxt-Based Machine Learning Analytics to Block Spam and Phishing Text Messages - Business Wire
- Genetic association and machine learning improve the prediction of type 1 diabetes risk - Nature - May 1st, 2026 [May 1st, 2026]
- What Can We Expect From Machine Learning Predictions in Daily Clinical Neurology? - Neurology Live - May 1st, 2026 [May 1st, 2026]
- How Spam Filters Paved the Way for Adversarial Machine Learning - 150sec - May 1st, 2026 [May 1st, 2026]
- Real-Time Estimation of Numerical Rating Scale (NRS) Scores Using Machine Learning-Based Facial Expression Analysis: A Proof-of-Concept Study - Cureus - May 1st, 2026 [May 1st, 2026]
- Heriot-Watt researcher warns gen AI in machine learning carries serious and underestimated risks - EdTech Innovation Hub - May 1st, 2026 [May 1st, 2026]
- HS-SPME/GCMS and Machine Learning Enable Volatile Fingerprinting and Classification of Commercial Vinegars - Chromatography Online - April 12th, 2026 [April 12th, 2026]
- Role of Artificial Intelligence and Machine Learning in Diagnosing Knee Lesions: Where Are We Now? - Cureus - April 12th, 2026 [April 12th, 2026]
- CMML2AML: machine-learning discovery of co-mutations and specific single mutations predictive of blast transformation in chronic myelomonocytic... - April 12th, 2026 [April 12th, 2026]
- Machine-learning-based reconstruction of Ming-dynasty defensive corridors in Yuxian - Nature - April 12th, 2026 [April 12th, 2026]
- Have you published a disruptive paper? New machine-learning tool helps you check - Physics World - April 12th, 2026 [April 12th, 2026]
- Microsoft is automatically updating Windows 11 24H2 to 25H2 using machine learning - TweakTown - April 5th, 2026 [April 5th, 2026]
- Inside the Magic of Machine Learning That Powers Enemy AI in Arc Raiders - 80 Level - April 3rd, 2026 [April 3rd, 2026]
- We analyzed Philly street scenes and identified signs of gentrification using machine learning trained on longtime residents observations - The... - April 3rd, 2026 [April 3rd, 2026]
- Boston University To Apply Machine Learning To Alzheimers Biomarker And Cognitive Data - Quantum Zeitgeist - April 3rd, 2026 [April 3rd, 2026]
- Sony buys machine-learning company to help "enhance gameplay visuals, improve rendering techniques, and unlock new levels of visual... - April 3rd, 2026 [April 3rd, 2026]
- The Machine Learning Stack Is Being Rebuilt From Scratch Here's What Developers Need to Know in 2026 - HackerNoon - April 3rd, 2026 [April 3rd, 2026]
- Closing the Revenue Gap: Leveraging Machine Learning to Solve the $260 Billion Denial Crisis - vocal.media - April 3rd, 2026 [April 3rd, 2026]
- Machine Learning for Pharmaceuticals Set to Witness Rapid - openPR.com - April 3rd, 2026 [April 3rd, 2026]
- You Must Address These 4 Concerns To Deploy Predictive AI - Machine Learning Week US - March 30th, 2026 [March 30th, 2026]
- Google and the rise of space-based machine learning - Latitude Media - March 30th, 2026 [March 30th, 2026]
- Researchers use machine learning and social network theory to identify formation patterns in digital forums - techxplore.com - March 30th, 2026 [March 30th, 2026]
- Mayo Clinic Study Uses Wearables and Machine Learning to Predict COPD Rehab Participation - HIT Consultant - March 30th, 2026 [March 30th, 2026]
- Machine learning at the edge in retail: constraints and gains - IoT News - March 26th, 2026 [March 26th, 2026]
- AI agents are flashy, but machine learning still pays the bills - TechRadar - March 26th, 2026 [March 26th, 2026]
- Single-cell imaging and machine learning reveal hidden coordination in algae's response to light stress - Phys.org - March 26th, 2026 [March 26th, 2026]
- Machine learning analysis of CT scans - National Institutes of Health (.gov) - March 22nd, 2026 [March 22nd, 2026]
- TransUnion Machine Learning Fraud Tools Tested Against Weak Share Price Momentum - simplywall.st - March 22nd, 2026 [March 22nd, 2026]
- Machine learning could help predict how people with depression respond to treatment - Medical Xpress - March 22nd, 2026 [March 22nd, 2026]
- KR approves machine learning-based fuel reduction methodology - Smart Maritime Network - March 22nd, 2026 [March 22nd, 2026]
- Available solar energy in Andalusia will increase through the end of the century, machine learning model finds - Tech Xplore - March 22nd, 2026 [March 22nd, 2026]
- How Machine Learning Is Reshaping Environmental Policy and Water Governance - Devdiscourse - March 22nd, 2026 [March 22nd, 2026]
- Chemistry student uses machine learning to transform gene therapy production - The University of North Carolina at Chapel Hill - March 13th, 2026 [March 13th, 2026]
- AI and Machine Learning - City of Brownsville to build smart city safety solution - Smart Cities World - March 13th, 2026 [March 13th, 2026]
- AI and Machine Learning - London borough overhauls public safety infrastructure - Smart Cities World - March 13th, 2026 [March 13th, 2026]
- Titan Technology Corp. Responds to Alberta Innovates RFP AI, Machine Learning and Automation Services - TradingView - March 13th, 2026 [March 13th, 2026]
- Vietnam FPT's AI automation solution secures new machine learning patent on overseas market - VnExpress International - March 13th, 2026 [March 13th, 2026]
- AI Healthcare Technology: The Power of Machine Learning Diagnosis in Modern Medicine - Tech Times - March 13th, 2026 [March 13th, 2026]
- Future Perspectives: Key Trends Shaping the Machine Learning Market in Financial Services Until 2030 - openPR.com - March 13th, 2026 [March 13th, 2026]
- How to Build an Autonomous Machine Learning Research Loop in Google Colab Using Andrej Karpathys AutoResearch Framework for Hyperparameter Discovery... - March 13th, 2026 [March 13th, 2026]
- The Arc in Arc Raiders have multiple "brains," and they all love pursuing you because Embark gives them "rewards" in real-time via... - March 13th, 2026 [March 13th, 2026]
- OnPoint AI to Present its Augmented Reality and Machine Learning Surgical Platform at the 2026 Canaccord Genuity Musculoskeletal Conference - Yahoo... - February 27th, 2026 [February 27th, 2026]
- TD Bank continues to develop AI, machine learning tools - Auto Finance News - February 27th, 2026 [February 27th, 2026]
- AI and Machine Learning - Tech companies team to scale private 5G and physical AI - Smart Cities World - February 27th, 2026 [February 27th, 2026]
- AI and Machine Learning in Dating Apps: Smarter Matchmaking Algorithms - Programming Insider - February 27th, 2026 [February 27th, 2026]
- Machine-Learning App Helps Anesthesiologists Navigate Critical Surgical Equipment in Real Time - Carle Illinois College of Medicine - February 24th, 2026 [February 24th, 2026]
- Fractal Launches PiEvolve, an Evolutionary Agentic Engine for Autonomous Machine Learning and Scientific Discovery - Yahoo Finance - February 24th, 2026 [February 24th, 2026]
- How Brain Data and Machine Learning Could Transform the Aging Industry - gritdaily.com - February 24th, 2026 [February 24th, 2026]
- AI and machine learning trends for Arizona leaders to watch in healthcare delivery and traveler services - AZ Big Media - February 24th, 2026 [February 24th, 2026]
- AI and machine learning are the future of Wi-Fi management: WBA report - Telecompetitor - February 22nd, 2026 [February 22nd, 2026]
- Machine learning streamlines the complexities of making better proteins - Science News - February 20th, 2026 [February 20th, 2026]
- WBA Publishes Guidance on Artificial Intelligence and Machine Learning for Intelligent Wi-Fi - ARC Advisory Group - February 20th, 2026 [February 20th, 2026]
- Machine learning-predicted insulin resistance is a risk factor for 12 types of cancer - Nature - February 20th, 2026 [February 20th, 2026]
- Exploring Machine Learning at the DOF - University of the Philippines Diliman - February 20th, 2026 [February 20th, 2026]
- AI and Machine Learning - Where US agencies are finding measurable value from AI - Smart Cities World - February 20th, 2026 [February 20th, 2026]
- Modeling visual perception of Chinese classical private gardens with image parsing and interpretable machine learning - Nature - February 16th, 2026 [February 16th, 2026]
- Analysis of Market Segments and Major Growth Areas in the Machine Learning (ML) Feature Lineage Tools Market - openPR.com - February 16th, 2026 [February 16th, 2026]
- Apple Makes One Of Its Largest Ever Acquisitions, Buys The Israeli Machine Learning Firm, Q.ai - Wccftech - February 1st, 2026 [February 1st, 2026]
- Keysights Machine Learning Toolkit to Speed Device Modeling and PDK Dev - All About Circuits - February 1st, 2026 [February 1st, 2026]
- University of Missouri Study: AI/Machine Learning Improves Cardiac Risk Prediction Accuracy - Quantum Zeitgeist - February 1st, 2026 [February 1st, 2026]
- How AI and Machine Learning Are Transforming Mobile Banking Apps - vocal.media - February 1st, 2026 [February 1st, 2026]
- Machine Learning in Production? What This Really Means - Towards Data Science - January 28th, 2026 [January 28th, 2026]
- Best Machine Learning Stocks of 2026 and How to Invest in Them - The Motley Fool - January 28th, 2026 [January 28th, 2026]
- Machine learning-based prediction of mortality risk from air pollution-induced acute coronary syndrome in the Western Pacific region - Nature - January 28th, 2026 [January 28th, 2026]
- Machine Learning Predicts the Strength of Carbonated Recycled Concrete - AZoBuild - January 28th, 2026 [January 28th, 2026]
- Vertiv Next Predict is a new AI-powered, managed service that combines field expertise and advanced machine learning algorithms to anticipate issues... - January 28th, 2026 [January 28th, 2026]
- Machine Learning in Network Security: The 2026 Firewall Shift - openPR.com - January 28th, 2026 [January 28th, 2026]
- Why IBMs New Machine-Learning Model Is a Big Deal for Next-Generation Chips - TipRanks - January 24th, 2026 [January 24th, 2026]
- A no-compromise amplifier solution: Synergy teams up with Wampler and Friedman to launch its machine-learning power amp and promises to change the... - January 24th, 2026 [January 24th, 2026]
- Our amplifier learns your cabinets impedance through controlled sweeps and continues to monitor it in real-time: Synergys Power Amp Machine-Learning... - January 24th, 2026 [January 24th, 2026]
- Machine Learning Studied to Predict Response to Advanced Overactive Bladder Therapies - Sandip Vasavada - UroToday - January 24th, 2026 [January 24th, 2026]
- Blending Education, Machine Learning to Detect IV Fluid Contaminated CBCs, With Carly Maucione, MD - HCPLive - January 24th, 2026 [January 24th, 2026]
- Why its critical to move beyond overly aggregated machine-learning metrics - MIT News - January 24th, 2026 [January 24th, 2026]
- Machine Learning Lends a Helping Hand to Prosthetics - AIP Publishing LLC - January 24th, 2026 [January 24th, 2026]
- Hassan Taher Explains the Fundamentals of Machine Learning and Its Relationship to AI - mitechnews.com - January 24th, 2026 [January 24th, 2026]
- Keysight targets faster PDK development with machine learning toolkit - eeNews Europe - January 24th, 2026 [January 24th, 2026]
- Training and external validation of machine learning supervised prognostic models of upper tract urothelial cancer (UTUC) after nephroureterectomy -... - January 24th, 2026 [January 24th, 2026]
- Age matters: a narrative review and machine learning analysis on shared and separate multidimensional risk domains for early and late onset suicidal... - January 24th, 2026 [January 24th, 2026]
- Uncovering Hidden IV Fluid Contamination Through Machine Learning, With Carly Maucione, MD - HCPLive - January 24th, 2026 [January 24th, 2026]
- Machine learning identifies factors that may determine the age of onset of Huntington's disease - Medical Xpress - January 24th, 2026 [January 24th, 2026]
- AI and Machine Learning - WEF expands Fourth Industrial Revolution Network - Smart Cities World - January 24th, 2026 [January 24th, 2026]