Artificial Intelligence
IBM Advances Cloud Pak for Security to Manage Threats Across Tools, Teams & Clouds
IBM (NYSE: IBM) Security today announced new and upcoming capabilities for Cloud Pak for Security, including a first of its kind data security solution that allows companies to detect, respond to and protect against threats to their most sensitive data across hybrid cloud environments. Designed to unify previously disconnected security technologies, IBM has expanded Cloud Pak for Security to include new data sources, integrations, and services that allow security operations teams to manage the full threat lifecycle from a single console.
With these upcoming capabilities,1 Cloud Pak for Security will include access to six threat intelligence feeds, 25 pre-built connections to IBM and third-party data sources, and 165 case management integrations – which are connected through advanced AI to prioritize threats, and automation playbooks to streamline response actions for security teams.
As cloud adoption and remote work have dispersed the traditional IT perimeter, security response teams can benefit from deeper insights into security across hybrid cloud environments. User behavior, identities and data security have traditionally been siloed from threat management. With the upcoming new capabilities, Cloud Pak for Security will become the first platform in the industry to connect data-level insights and user behavior analytics with threat detection, investigation and response.
Today IBM is announcing capabilities to advance the Cloud Pak for Security even further, including:
- Coordinated Threat Response + Data Security: IBM has developed a new industry-first approach to provide security teams with visibility into data activity, compliance and risk, without needing to leave their primary response platform. The new built-in data security hub, scheduled for general availability in Q4, allows analysts to quickly gain context into where their sensitive data resides across hybrid cloud environments, as well as who has access to it, how it is used, and the best way to protect it. Bridging the disconnect between data security and threat management can reduce the timeline for responding to data breaches, which currently take more than six months to identify and contain on average for recently surveyed organizations.2
- Access to Industry Leading Threat Intelligence: Cloud Pak for Security is expanding its collection of threat intelligence, helping clients detect early warning signs of active threat campaigns impacting companies around the world. In addition to IBM’s X-Force Threat Intelligence Feed, the platform will provide pre-built integrations for five additional threat intelligence feeds from third-party sources, including AlienVault OTX, Cisco Threatgrid, MaxMind Geolocation, SANS Internet StormCenter and Virustotal scheduled for general availability in Q4, and additional threat feeds expected to be added in 2021.
- Dedicated Services and Support: IBM is launching new dedicated security services to help organizations modernize their security operations with Cloud Pak for Security, leveraging a holistic approach connecting products and services. With a wide range of flexible service options, IBM experts can help clients deploy and manage Cloud Pak for Security across any environment, including end-to-end threat management, managed security services, as well as strategy, consulting and integration support.
“Complexity is the greatest challenge facing our industry, forcing resource-strapped security teams to manually connect the dots between disparate tools and sources of security data,” said Justin Youngblood, Vice President, IBM Security. “Cloud Pak for Security is built on open, cloud native technologies from the ground up to connect any tool within the security ecosystem. With these updates, we will be the first in the industry to bring together external threat intelligence and threat management alongside data security and identity, helping organizations to modernize their security operations and create the foundation for a zero trust security strategy.”
Open Connections Across the Security Ecosystem
Cloud Pak for Security leverages open technologies to create an interoperable foundation and deeper connections between the IBM and third-party tools. For instance, the platform uses STIX-Shifter, an open-source library that allows security analysts to search for threat indicators across all connected data sources with a single query. Additionally, Cloud Pak for Security is built on Red Hat OpenShift, providing an open, containerized foundation that can be easily deployed across on-premise, public and private cloud environments.
This open approach allows Cloud Pak for Security to be more than simply a collection of security capabilities, but rather a platform to fully integrate security processes across tools and clouds. The platform uses advanced AI, analytics and automation to streamline the full lifecycle of threat management – including native capabilities for Security Information and Event Monitoring (SIEM), Threat Intelligence, User Behavior Analytics, Data Security and Security Orchestration Automation and Response. These capabilities are delivered through a single, unified user interface that connects the entire threat management process via end-to-end workflows, from detection through response.
Through IBM Security’s participation in the Open Cybersecurity Alliance, the company will continue to work with the community to advance the development and adoption of open technologies to make security more interoperable.
Unified Product and Services Approach
Cloud Pak for Security’s open framework makes it an ideal solution for collaboration between security teams and external service providers that augment companies’ security skills and expertise. Cloud Pak for Security also supports multi-tenancy, enabling service providers to leverage a single instance of the platform to serve multiple companies and sub-organizations while keeping their data isolated.
The extensive capabilities of Cloud Pak for Security can be supported by and integrated with IBM Security Services, with unified offerings that connect technologies and services. Clients can take advantage of X-Force Threat Management, an ongoing, end-to-end threat management service that uses a programmatic approach to help clients mature their overall threat management strategy over time. Companies can also leverage a wide variety of IBM Managed Security Services, using Cloud Pak for Security to facilitate real time collaboration and visibility between clients and service teams. Alternatively, companies can leverage IBM Security expert consultants to help them plan for, deploy and integrate the Cloud Pak for Security with their existing security investments.
To learn more about IBM Cloud Pak for Security and stay up to date regarding its latest capabilities, visit the website here. You can also register for the webinar which will take place October 29, 2020 at 11:00 a.m. EDT.
Artificial Intelligence
Aurionpro Solutions acquires Arya.ai, to power next generation Enterprise AI platforms for Financial Institutions
SINGAPORE, April 20, 2024 /PRNewswire/ — Aurionpro Solutions Limited (BSE: 532668) (NSE: AURIONPRO) announces the acquisition of Banking and Insurance focused PaaS startup, Arya.ai. With Arya.ai, Aurionpro will enhance its portfolio of enterprise fintech offerings to expedite adoption of AI that is responsible, accurate, and auditable.
Aurionpro Solutions Ltd. will acquire a majority stake (67%) in Arya.ai. This acquisition will bring products and expertise in Artificial Intelligence, Deep Learning, Intelligent Automation, PaaS, Autonomous AI Platforms, and more, to complement and strengthen Aurionpro’s industry leading portfolio.
The transaction comprises acquisition of shares held by the existing shareholders and subscription of new equity capital in the company. This will be an all-cash deal. The aggregate investment including secondary acquisition and fund infusion is approximately 16.5 MN USD.
By integrating Arya.ai’s cutting-edge AI cloud platform, with Aurionpro’s comprehensive suite of offerings, the company will create an industry leading Enterprise AI platform focused on creating value for financial institutions globally.
Commenting on the acquisition, Ashish Rai, CEO of Aurionpro Solutions, stated, “The acquisition of Arya.ai marries Aurionpro’s portfolio of industry leading enterprise software with one of the most mature Enterprise AI platforms focused on Banks and Insurers. We are incredibly excited about working with Arya.ai and our wider ecosystem partners to build out the leading Enterprise AI platform, for the financial industry worldwide.”
“Our decade long experience in building tools/platform for deep learning helped us to build a truly verticalized AI Operating System for Banking and Insurance.” Says Vinay Kumar CEO/Founder of Arya.ai. “Together with Aurionpro, we are going to build a new generation of Enterprise AI software for Banks and Insurers that truly embeds AI, augmenting a task or Autonomous Agents that can take over entire transactions”.
Founded in 2013 by Vinay Kumar and Deekshith Marla, Arya.ai has been one of the first ‘AI’ startups to use Deep Learning and deploy in enterprises. Arya.ai’s BFSI PaaS offerings include Arya API with 80+ ML models, Libra for fine-tuning SOTA ML models, and AryaXAI for AI governance.
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Artificial Intelligence
Free Your Hands, QIDI Vida Smart AR Glasses Lead the Way in New Sports Experience.
NEW YORK, April 19, 2024 /PRNewswire/ — Outdoor smart AR glasses, QIDI Vida, will officially launch on 23rd April on the Kickstarter platform. QIDI Vida integrates the many functions of smart watches, sports headphones, cycling computers, heart rate monitors, and walkie-talkies using AR+AI technology, allowing users to bid farewell to cumbersome device management and enjoy outdoor sports anytime, anywhere with just one pair of glasses.
Function:
QIDI Vida uses high-tech HUD (Head-Up Display) which is similar to the technology used for aircrafts and premium cars and introduces it to the sports industry. Users can activate the HUD function at any time using voice control, enabling them to focus on the route ahead whilst simultaneously having access to information such as navigation, speed, heart rate, power and cadence, among other metrics. Another great function of the QIDI Vida is that users can also enjoy audiovisual entertainment through the optically perceived 100-inch AR HUD screen, when having some down time.
As cyclists and hikers often travel in groups, QIDI Vida supports eSIM and team functionality, allowing real-time voice communication without releasing handlebars, and users can monitor their groups’ real-time locations. The glasses also have comprehensive sensing and monitoring capabilities including temperature, humidity, UV, air pressure, geomagnetism and acceleration. In addition to obtaining environmental and health information, it also features health warnings such as altitude sickness symptoms and high heart rate, as well as fall and collision detection functions. And, in the event of danger, it can send distress signals to teammates.
Perks:
QIDI Vida has a global voice recognition and interaction feature that allows you to control all functions within the device by voice. To better provide users with an immersive sports experience, QIDI Vida’s intelligent system will have the capability to instantly gather personalised sports data, enabling it to deliver timely voice alerts and broadcasts, including the duration of exercise, distance, the environment and the weather – all tailored to the user’s preferences.
QIDI Vida enables voice-controlled photos and video recordings, allowing users to capture moments whilst cycling or hiking without the need to stop. QIDI Vida supports connections with common cycling smart hardware such as Garmin, Wahoo, Apple, and Samsung, supports GPX route files, and is compatible with professional sports apps such as Strava, Keep, Zwift, Apple Health, and All Trails.
QIDI Vida stands out for its lightweight and comfortable design with a dual lens for a full-colour data display, unlike competing AR glasses that typically have a single lens and limited colour. This innovation significantly enhances and augments the user’s sports and reality experience.
QIDI Vida will launch on the Kickstarter platform: https://www.kickstarter.com/projects/109560964/qidi-vida-smart-ar-glasses-for-sports
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Artificial Intelligence
Risk Analytics Market worth $180.9 billion by 2029 – Exclusive Report by MarketsandMarkets™
CHICAGO, April 19, 2024 /PRNewswire/ — The growing use of real-time monitoring and advanced analytics, integration with cutting-edge technologies like blockchain and IoT, and an emphasis on cybersecurity, cross-industry applications, and regulatory compliance are the key factors that will shape the risk analytics market in the future. The market’s development will also be influenced by collaborative risk management, improved user experience, and an increasing focus on ESG factors and risk culture.
The Risk Analytics Market is estimated to grow from USD 59.7 billion in 2024 to USD 180.9 billion in 2029, at a CAGR of 24.8% during the forecast period, according to a new report by MarketsandMarkets™. Several trends fuel the global spread of Risk Analytics. Increasingly Increasing Data Complexity, Rising Cybersecurity Threats and Rising Adoption of Cloud-Based Solutions A growing talent pool of data scientists and engineers is building the necessary tools and infrastructure. Governments are recognizing the potential of risk analytics for economic growth and are investing in research and development. These trends make DI more accessible and valuable, leading to its global adoption.
Browse in-depth TOC on “Risk Analytics Market”260 – Tables 60 – Figures350 – Pages
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Scope of the Report
Report Metrics
Details
Market size available for years
2019–2023
Base year considered
2023
Forecast period
2024–2029
Forecast units
USD Billion
Segments Covered
Offering,Risk Type, Risk stages, Vertical, and Region.
Geographies covered
North America, Europe, Asia Pacific, Middle East & Africa, and Latin America
Companies covered
IBM (US), SAS Institute (US), Oracle (US), FIS(US), Moody’s Analytics (US), ProcessUnity(US), ServiceNow (US), Marsh (US), Aon (UK), MetricStream (US), Resolver (Canada), SAP (Germany), Milliman(US), LogicManager(US), Provenir(US), SAI360(US), Deloitte(UK), OneTrust(US), Diligent(US), Alteryx(US), CRISIL(India), Archer(US), ZestyAI(US), Fusion Risk Management(US), RiskVille(Ireland), SPIN Analytics(UK), Kyvos Insights(US), Imperva(US), Cirium(UK), Quantexa(UK), ClickUp(US), Sprinto(US), Ventiv(US), Adenza(US), Centrl.AI(Canada), SafetyCulture(Australia), Quantifi(US), CubeLogic(UK), Onspring(US), Riskoptics(US)
By offering the services segment to account for higher CAGR during the forecast period
In the Risk Analytics Market, the highest CAGR of services is fueled by Increasing Complexity of Risks, AI and machine learning advancements, big data analytics integration, business process optimization, cloud-based solutions adoption, data-driven culture, and diverse industry adoption. These trends reflect a global shift towards leveraging data for competitive advantage, driving a continuous need for sophisticated risk analytics services across sectors. As businesses prioritize agility, the growth of services in the Risk Analytics Market is driven by the need for effective risk management strategies in an increasingly complex and uncertain business environment.
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By Type, GRC software is expected to hold the largest market size for the year 2024
GRC software typically offers comprehensive solutions that cover a wide range of risk management needs, including compliance management, policy management, audit management, and risk assessment. They also provide organizations with enhanced visibility into their risk landscape. Through features such as risk assessment, risk monitoring, and reporting, organizations can identify and prioritize risks more effectively, enabling proactive risk management strategies. GRC software streamlines risk management processes through automation, reducing manual effort and increasing efficiency. Tasks such as risk assessments, control testing, and incident management can be automated, freeing up resources to focus on strategic risk mitigation efforts. the combination of comprehensive functionality, regulatory compliance support, efficiency gains, scalability, integration capabilities, and culture enhancement makes GRC software a preferred choice for many organizations seeking to manage risk effectively.
By Vertical, Healthcare & Life Sciences is projected to grow at the highest CAGR during the forecast period
The Healthcare and Lifesciences is experiencing a surge in the adoption of risk analytics due to a confluence of factors. Healthcare providers and life sciences companies wants to ensure the safety and well-being of patients. Risk analytics helps in identifying potential risks to patient safety, such as medication errors, adverse events, and medical device failures. The healthcare and life sciences industries are heavily regulated, with strict guidelines for patient care, data privacy, drug development, and clinical trials. Risk analytics helps organizations ensure compliance with these regulations by identifying and mitigating risks of non-compliance. Healthcare organizations and life sciences companies also face financial risks associated with fraud, billing errors, revenue cycle management, and reimbursement challenges. Risk analytics helps in detecting anomalies and optimizing financial processes to mitigate these risks.
Asia Pacific is expected to grow at the highest CAGR during the forecast period
The Asia-Pacific (APAC) region is experiencing rapid growth in the Risk Analytics Market, boasting the highest Compound Annual Growth Rate (CAGR). This surge is primarily attributed to rising demand for data-driven decision-making solutions, expanding digital transformation initiatives across industries.. Moreover, the region’s favorable regulatory environment, growing investments in big data analytics, and the integration of advanced technologies like the Internet of Things (IoT) further propel APAC’s dominance in Risk Analytics Market growth.
Top Key Companies in Risk Analytics Market:
The major risk analytics software and service providers include IBM (US), SAS Institute (US), Oracle (US), FIS(US), Moody’s Analytics (US), ProcessUnity(US), ServiceNow (US), Marsh (US), Aon (UK), MetricStream (US), Resolver (Canada), SAP (Germany), Milliman(US), LogicManager(US), Provenir(US), SAI360(US), Deloitte(UK), OneTrust(US), Diligent(US), Alteryx(US), CRISIL(India), Archer(US), ZestyAI(US), Fusion Risk Management(US), RiskVille(Ireland), SPIN Analytics(UK), Kyvos Insights(US), Imperva(US), Cirium(UK), Quantexa(UK), ClickUp(US), Sprinto(US), Ventiv(US), Adenza(US), Centrl.AI(Canada), SafetyCulture(Australia), Quantifi(US), CubeLogic(UK), Onspring(US), Riskoptics(US). These companies have used both organic and inorganic growth strategies such as product launches, acquisitions, and partnerships to strengthen their position in the Risk Analytics Market.
Recent Developments:
In March 2024, Orcale announced Oracle Risk Management Cloud in Release 24B. It offers comprehensive solution designed to help organizations identify, assess, and mitigate risks across their business operations. It offers advanced analytics, automation, and collaboration tools to streamline risk management.In March 2024, FIS Global announces card fraud detection capabilities leveraging artificial intelligence (AI) with aim to bolster FIS’s ability to identify and prevent fraudulent transactions, providing greater security for cardholders and financial institutions alike.In March 2024, Aon acquired an AI-powered platform to assist fleet and mobility clients in making data-driven decisions, enhancing operational efficiency and risk management. The platform utilizes artificial intelligence to analyze data and provide insights, enabling clients to optimize their fleet operations and improve decision-making processes.In March 2024, Crisp joined Resolver, with the aim to enhance Resolver’s risk intelligence capabilities by integrating Crisp’s expertise and technology into its platform, offering clients improved risk assessment and mitigation tools.In February 2024, SAS partnered with Carahsoft to bring analytics, AI, and data management solutions to the public sector. The aim is to leverage SAS’s expertise in advanced analytics and Carahsoft’s extensive government market reach to offer tailored solutions that enable public sector organizations to harness the power of data for informed decision-making and improved outcomes.Inquire Before Buying@ https://www.marketsandmarkets.com/Enquiry_Before_BuyingNew.asp?id=210662258
Risk Analytics Market Advantages:
By offering insights into potential risks, opportunities, and trends, risk analytics helps organisations make data-driven decisions that improve strategic planning and resource allocation.In order to improve risk management procedures and lessen exposure to possible threats, risk analytics solutions assist businesses in identifying, evaluating, and mitigating risks across a range of business activities, including finance, operations, and compliance.Through real-time monitoring and anomaly detection made possible by risk analytics, organisations may proactively address shifting market situations, legal requirements, and cybersecurity threats.Risk analytics solutions assist organisations lower operating costs, increase productivity, and streamline compliance activities, which results in cost savings and resource optimisation. They do this by streamlining risk management procedures and automating routine work.Accurate risk assessments, audit trails, and reporting capabilities are just a few of the ways that risk analytics solutions help organisations comply with regulations and stay out of trouble.Organisations can enhance their resilience and competitiveness by anticipating and mitigating potential hazards before they materialise through the use of predictive modelling and advanced analytics approaches in risk analytics.Report Objectives
To define, describe, and predict the Risk Analytics Market by offering, risk type, risk stages, vertical, and regionTo provide detailed information about the major factors (drivers, restraints, opportunities, and challenges) influencing the market growthTo analyze the opportunities in the market and provide details of the competitive landscape for stakeholders and market leadersTo forecast the market size of segments with respect to five main regions: North America, Europe, Asia Pacific, Middle East & Africa, and Latin AmericaTo profile the key players and comprehensively analyze their market rankings and core competenciesTo analyze the competitive developments, such as partnerships, product launches, and mergers & acquisitions, in the Risk Analytics MarketBrowse Adjacent Markets: Analytics Market Research Reports & Consulting
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