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Threat Intelligence Security Market to Grow by USD 17 Billion by 2027, Driven by Cyberattacks on Connected Devices and AI Advancements- Technavio Report

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NEW YORK, Sept. 5, 2024 /PRNewswire/ — Report with the AI impact on market trends- The global threat intelligence security market size is estimated to grow by USD 17.00 billion from 2023-2027, according to Technavio. The market is estimated to grow at a CAGR of almost 23.7% during the forecast period. Rising number of cyberattacks on connected devices or systems is driving market growth, with a trend towards threat intelligence sharing. However, increasing complexity of it infrastructure poses a challenge. Key market players include Anomali Inc., BlueVoyant, Check Point Software Technologies Ltd., Cisco Systems Inc., Datto Holdings Corp., F Secure Corp., Farsight Security Inc., Fortinet Inc., Intel 471 Inc., International Business Machines Corp., Juniper Networks Inc., KKR and Co. Inc., LogRhythm Inc., Musarubra US LLC, NortonLifeLock Inc., Open Text Corp., Splunk Inc., Trend Micro Inc., ZeroFox Inc., and Palo Alto Networks Inc.

Key insights into market evolution with AI-powered analysis. Explore trends, segmentation, and growth drivers- View the snapshot of this report

Threat Intelligence Security Market Scope

Report Coverage

Details

Base year

2022

Historic period

2017 – 2021

Forecast period

2023-2027

Growth momentum & CAGR

Accelerate at a CAGR of 23.7%

Market growth 2023-2027

USD 17000.22 million

Market structure

Fragmented

YoY growth 2022-2023 (%)

22.01

Regional analysis

North America, Europe, APAC, South America, and Middle East and Africa

Performing market contribution

North America at 35%

Key countries

US, China, India, UK, and Germany

Key companies profiled

Anomali Inc., BlueVoyant, Check Point Software Technologies Ltd., Cisco Systems Inc., Datto Holdings Corp., F Secure Corp., Farsight Security Inc., Fortinet Inc., Intel 471 Inc., International Business Machines Corp., Juniper Networks Inc., KKR and Co. Inc., LogRhythm Inc., Musarubra US LLC, NortonLifeLock Inc., Open Text Corp., Splunk Inc., Trend Micro Inc., ZeroFox Inc., and Palo Alto Networks Inc

Market Driver

Threat intelligence, gathered from various sources, is essential for enterprises to protect their networks from cyber attacks. However, accessing a vast amount of threat information can be costly, making it a challenge for smaller organizations. The Cyber Threat Alliance, comprised of leading security companies like Symantec, McAfee, Palo Alto Networks, and Fortinet, aims to address this issue by sharing and validating real-time threat data. This collaboration reduces detection and remediation time for members, enabling them to understand their network’s threat status in comparison to their peer group companies. Crowdsourcing platforms for threat intelligence further enhance this effort by involving a large group of skilled individuals and organizations to combat newly emerging threats, such as ransomware, increasing overall efficiency in the fight against cyber attacks. 

The cybersecurity threat intelligence market is experiencing significant growth due to the increasing volumes of new threats and cyberattacks. Adversaries are using innovative tactics, such as deepfake technology and distorted multimedia material, to bypass detection procedures. Threat analysis and detection are crucial for cybersecurity operations, as data breaches can lead to customer trust issues and damage to brand reputation. Silobreaker and enterprise geopolitical intelligence are key players in this market, providing valuable insights into adversarial behavior and potential geopolitical hazards. Advanced algorithms and quantum computing are being used to enhance threat intelligence systems and improve threat hunting skills. Specific industries, such as healthcare, finance, energy, and IoT security, are particularly vulnerable to cyber threats. Ransomware and advanced persistent threats are common attacks, and mobile security is becoming increasingly important with the continuous digitization process and the widespread use of cloud computing and mobile technologies. Strict regulations, such as those in the BFSI industry regarding sensitive financial data, require organizations to invest in cutting-edge cybersecurity measures, including Zero Trust Architecture, behavioral biometrics, and insider threat detection. Mobile threat management and instructional materials are also essential for staying ahead of the curve in this ever-evolving threat landscape. 

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Market Challenges

The Threat Intelligence Security Market faces a significant challenge due to the increasing complexity of IT network infrastructure. With the introduction of new security solutions from vendors, integration issues and system slowdowns can occur. These problems may lead to customer dissatisfaction and potential loss of business. To address this, vendors must ensure their threat intelligence security products seamlessly integrate with both third-party solutions and previous information systems. However, this increased complexity could potentially introduce operational or interface issues for end-users. Thus, managing the intricacy of network infrastructure remains a critical concern for vendors in the Threat Intelligence Security Market.In today’s digital world, businesses face increasing threats to their IT assets from various sources. Digital transformation, connected devices, and industrial systems bring new risks, such as Point-of-Sale (POS) systems, handheld devices, and M2M communication vulnerabilities. Threat intelligence is crucial to stay ahead of these risks, including deceptions from hackers using phishing, zero-day attacks, and insider assaults. Industries like banking and finance, energy, and mining face significant financial losses from cybersecurity vulnerabilities. Next-generation security services are essential to combat these risks, especially in the cloud segment where the attack surface is vast and unknown threats abound. SMEs and large enterprises alike require risk intelligence products to manage their security architecture and comply with mandates and regulatory pressure. Cyber risks come from various sources, including cybercriminals, nation-states, and insiders. Security operations need to be intelligence-driven to make informed decisions and prevent delivery, exploitation, command-and-control, and control ability threats. Risk analytics provide supporting data for effective risk management and compliance. The global community must work together to mitigate cyber risks and protect critical accesses from cyberattacks.

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Segment Overview

This threat intelligence security market report extensively covers market segmentation by

Deployment1.1 Cloud1.2 On-premisesEnd-user2.1 BFSI2.2 IT and telecom2.3 Healthcare2.4 Transportation and logistics2.5 OthersGeography3.1 North America3.2 Europe3.3 APAC3.4 South America3.5 Middle East and Africa

1.1 Cloud- The cloud-based threat intelligence security segment is currently leading the global threat intelligence security market. Small and medium-sized enterprises (SMEs) are increasingly adopting cloud-based solutions due to their cost-effectiveness and ease of use. These services do not require any software installation and can be accessed on a subscription basis, with monthly fees covering maintenance and system upgrades. During the forecast period, cloud-based threat intelligence security is expected to experience significant revenue growth compared to on-premises solutions. This trend is driven by the increasing shift of enterprises towards cloud-based security, which requires threat intelligence products and services to offer comprehensive security solutions such as email and web security, hosted DDoS mitigation, and advanced persistent threat (APT) protection. Threat intelligence products and services provide 24/7 monitoring capabilities to prevent advanced malware activities and a scalable, secure cloud environment to protect against distributed denial-of-service (DDoS) attacks. However, concerns around data confidentiality and lack of control over security may hinder the adoption of cloud-based threat intelligence security among large enterprises, resulting in a moderate decline in the market growth rate during the forecast period.

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Research Analysis

The Threat Intelligence Security market is experiencing significant growth due to the increasing volumes of cybersecurity threats and the emergence of new threats that require constant analysis and detection. With cybercriminals employing innovative adversarial behavior and cutting-edge cyber tactics, organizations are turning to threat intelligence systems to stay ahead of potential hazards. Data breaches, cyber attacks on sensitive data, and deceptions such as zero-day attacks pose a significant risk to businesses in various sectors, including defense contractors, retailers, e-commerce, and international trade unions. The digital transformation and the proliferation of connected devices, from handheld devices to Point-of-Sale (POS) systems, have expanded the attack surface and heightened the need for robust threat intelligence. Silobreaker and other threat intelligence providers offer valuable insights into adversarial behavior and potential geopolitical hazards, helping organizations to fortify their cybersecurity operations and protect their assets.

Market Research Overview

The Threat Intelligence Security market is experiencing exponential growth due to the increasing volumes of new threats in the cybersecurity landscape. With innovative adversaries employing cutting-edge cyber tactics, threat analysis and detection procedures are becoming essential for businesses to protect against data breaches and potential geopolitical hazards. Threat intelligence systems are being utilized to identify and respond to adversarial behavior, including deepfake technology and distorted multimedia material. As the digital revolution continues, industries such as healthcare, finance, energy, and IoT security face unique challenges. Advanced algorithms and quantum computing are being used to enhance encryption techniques and Zero Trust Architecture, while behavioral biometrics and mobile threat management help mitigate insider threats. Sensitive data in specific industries, such as BFSI, is under constant threat from cyberattacks, ransomware, advanced persistent threats, and insider assaults. Strict regulations and the continuous digitization process require holistic cybersecurity partners to provide advanced threat identification, incident handling, and vulnerability management. Cybersecurity architecture must adapt to provide flawless customer experiences while maintaining a high level of security. Next-generation security services, including threat hunting skills and mobile threat management, are crucial in this ever-evolving landscape. The digital transformation has led to an increase in connected devices, point-of-sale systems, handheld devices, and M2M communication. Secure control systems for industrial systems, subsea oil wells, and mines are vital to prevent financial losses and protect against cyber-attacks, phishing, and zero-day attacks. Threat intelligence plays a critical role in staying ahead of the curve and ensuring customer trust and brand reputation. Deceptions, such as Silobreaker and enterprise geopolitical intelligence, provide valuable insights into potential threats and help businesses make informed decisions. Overall, the Threat Intelligence Security market is a crucial component of any organization’s cybersecurity strategy.

Table of Contents:

1 Executive Summary
2 Market Landscape
3 Market Sizing
4 Historic Market Size
5 Five Forces Analysis
6 Market Segmentation

DeploymentCloudOn-premisesEnd-userBFSIIT And TelecomHealthcareTransportation And LogisticsOthersGeographyNorth AmericaEuropeAPACSouth AmericaMiddle East And Africa

7 Customer Landscape
8 Geographic Landscape
9 Drivers, Challenges, and Trends
10 Company Landscape
11 Company Analysis
12 Appendix

About Technavio

Technavio is a leading global technology research and advisory company. Their research and analysis focuses on emerging market trends and provides actionable insights to help businesses identify market opportunities and develop effective strategies to optimize their market positions.

With over 500 specialized analysts, Technavio’s report library consists of more than 17,000 reports and counting, covering 800 technologies, spanning across 50 countries. Their client base consists of enterprises of all sizes, including more than 100 Fortune 500 companies. This growing client base relies on Technavio’s comprehensive coverage, extensive research, and actionable market insights to identify opportunities in existing and potential markets and assess their competitive positions within changing market scenarios.

Contacts

Technavio Research
Jesse Maida
Media & Marketing Executive
US: +1 844 364 1100
UK: +44 203 893 3200
Email: media@technavio.com
Website: www.technavio.com/

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SOURCE Technavio

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BinBase Launches 2026 BIN Database Featuring 6-11 Digit Waterfall Lookup for High-Precision Payment Routing

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BinBase introduces its upgraded 2026 BIN Database, offering 3.2M+ card ranges, 29 granular data attributes, and extended 8-11 digit accuracy to eliminate false-positives and optimize routing for global fintechs.

MIAMI, July 21, 2026 /PRNewswire-PRWeb/ — BinBase, a provider of payment intelligence and card issuing data, has announced the official release of its updated 2026 BIN Database. Engineered for payment gateways, acquiring banks, fraud prevention platforms, and e-commerce platforms, the updated dataset solves critical routing inaccuracies caused by the industry-wide shift from legacy 6-digit BINs to extended 8-to-11-digit card ranges.

Relying solely on 6-digit BINs in 2026 means misclassifying card products and losing money on interchange fees. Our 2026 release provides the surgical precision developers need for cost-effective payment routing.

Since ISO/IEC 7812 expanded the standard Bank Identification Number (BIN) length to 8 digits, traditional 6-digit lookup tables have struggled to correctly identify modern card profiles. This leads to false positives, misidentified interchange fees, and failed transactions. BinBase addresses this challenge by introducing a multi-tiered database structure supporting up to 11-digit precision, alongside a recommended “Waterfall Lookup Algorithm.”

To ensure 100% routing and verification accuracy, the Waterfall method executes a descending search sequence: checking 11-digit BIN ranges down through 10, 9, 8, 7, and 6 digits until an exact match is resolved.

Key technical specifications of the 2026 BinBase release include:

Over 3.2 Million Card Ranges: Full global coverage including Visa, Mastercard, Amex, Discover, UnionPay, JCB, and regional networks.Extended Precision: Over 88% of the dataset consists of high-precision ranges (8–11 digits) to accurately isolate sub-brands, currencies, and card tiers.29 Granular Attributes: Beyond core issuer data, the database features advanced parameters including Durbin Regulation status, US Debit/ATM network routing (STAR, NYCE), Fast Funds (Visa Direct / Mastercard MoneySend indicators), commercial Level 2/Level 3 data, and digital wallet token ranges (Apple Pay / Google Pay).

“Modern payment processing requires surgical precision,” said a spokesperson for Damiko Inc. “Relying solely on 6-digit BINs in 2026 means misclassifying card products and losing money on interchange fees. Our 2026 release provides the underlying intelligence developers need to build resilient, cost-effective payment infrastructure.”

Developers and payment teams can evaluate the full 29-field database schema, review integration examples, and download a free 2026 sample dataset on the official GitHub repository.

To learn more about full commercial licensing options, instant CSV downloads, and custom API delivery, visit BinBase.

About Damiko Inc

Damiko Inc is a US-based fintech data provider specializing in card issuer analytics, payment routing data, and global BIN database solutions. Operating through its flagship product, BinBase.com, the company supplies high-precision transaction intelligence to help merchants and payment facilitators worldwide optimize approval rates and mitigate fraud.

Media Contact

Fedor Lavrikoff, BinBase, 1 +17866133333, sales@binbase.com, htttps://www.binbase.com 

View original content:https://www.prweb.com/releases/binbase-launches-2026-bin-database-featuring-6-11-digit-waterfall-lookup-for-high-precision-payment-routing-302829291.html

SOURCE BinBase

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Redington Limited and AutomationEdge Announce Strategic Partnership to Accelerate Enterprise Automation and Agentic AI Adoption

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MUMBAI, India, July 22, 2026 /PRNewswire/ — Redington, a leading technology aggregator and innovation catalyst, and AutomationEdge, a leading Agentic Process Automation platform for global enterprises, have announced a strategic partnership to accelerate the adoption of enterprise automation and Agentic AI. The collaboration brings together Redington’s extensive distribution ecosystem and partner network with AutomationEdge’s enterprise-grade Agentic Process Automation platform to enable faster, scalable, and outcome-driven digital transformation for organizations.

As a part of the partnership, AutomationEdge’s portfolio of AI Agents and automation solutions is now available through the Redington AI Exchange Marketplace, enabling partners and customers to easily discover, evaluate, and deploy enterprise-ready AI solutions. This availability significantly reduces the time required to adopt AI-driven automation and provides organizations with access to proven use cases that can deliver measurable business outcomes.

The partnership is focused on delivering solution-led automation offerings that simplify adoption for enterprises and channel partners. By combining Redington’s go-to-market reach with AutomationEdge’s 10x automation capabilities, the two organizations aim to help businesses move from fragmented automation initiatives to enterprise-wide orchestration—driving efficiency, agility, and operational excellence.

Through this collaboration, both companies will jointly promote pre-built automation and AI Agent solutions across key business functions, including banking operations, insurance processes, IT / HR operations, customer service, and finance functions. These solutions include ready-to-deploy workflows, AI Agents, demonstration environments, and implementation frameworks designed to accelerate deployment and reduce complexity.

The partnership will also include joint go-to-market initiatives such as partner enablement programs, co-branded workshops, solution showcases, and proof-of-concept (PoC) engagements. These initiatives are designed to equip Redington partners with the knowledge, tools, and support needed to successfully position, sell, and implement AI-powered automation solutions for enterprise and mid-market customers.

Sayantan Dev, Global Head, Software Solutions Group, Redington, said, “The next phase of AI adoption will be defined by execution. Through the Redington AI Exchange Marketplace, we are bringing together the technologies and ecosystem needed to help partners deliver real business outcomes at scale. AutomationEdge’s Agentic AI and automation capabilities strengthen our ability to enable customers to accelerate AI adoption with greater speed, governance, and confidence.”

Prasad Likhite, Chief Sales Officer of AutomationEdge, said, “We are delighted to strengthen our partnership with Redington and accelerate the adoption of next-generation enterprise automation and Agentic AI solutions across the market. The availability of AutomationEdge AI Agents through the Redington AI Exchange Marketplace marks an important milestone in democratizing AI-led transformation, enabling enterprises to rapidly scale intelligent automation initiatives with speed, agility, and measurable business impact. At the same time, it creates significant opportunities for partners to drive innovation, unlock new revenue streams, and deliver greater value to their customers.”

The collaboration also emphasizes localized support, implementation expertise, and customer success services, ensuring that organizations can seamlessly deploy, manage, and scale automation initiatives. By leveraging Redington’s strong partner ecosystem and AutomationEdge’s deep expertise in automation and Agentic AI, the partnership is well-positioned to address the evolving needs of modern enterprises.

As organizations increasingly prioritize productivity, operational efficiency, and AI-led transformation, this partnership marks a significant step toward making enterprise automation and Agentic AI more accessible, scalable, and impactful across industries.

 About Redington

Redington Limited (NSE: REDINGTON) (BSE: 532805), a leading technology solutions provider, empowers businesses in their digital transformation journeys. Guided by its brand narrative “Unlock Next”, Redington goes beyond distribution to remove barriers, accelerate digital adoption, and unlock access, growth, trust, efficiency, and impact—helping businesses, communities, and societies embrace what’s next in technology

About AutomationEdge

AutomationEdge is a leading Agentic Process Automation platform for global enterprises. Its platform enables organizations to automate complex business processes, deploy AI Agents at scale, improve operational efficiency, and accelerate digital transformation initiatives across industries.

Media Contact:
Rahul Wandile
rahul.wandile@automationedge.com

 

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Applied Intuition Launches Dana, the Agentic Platform for Physical AI

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New platform pairs agentic AI with the tooling, data, infrastructure and domain expertise Applied Intuition has built over nearly a decade to speed the safe development of intelligent machines for the physical world.

Dana is the first agentic platform for building, testing, deploying and operating physical AI systems across industries.Built on nearly a decade of Applied Intuition’s tooling, infrastructure, workflows and engineering expertise, Dana is purpose-built for safety-critical systems operating in the physical world.Dana helps companies build physical AI applications for any industry or use case, from autonomy and software-defined vehicles to fleet operations, robotics, construction, mining and intelligent in-vehicle experiences.Dana has already reduced critical phases of vehicle development from months to days in internal and select customer deployments.

SUNNYVALE, Calif., July 22, 2026 /PRNewswire/ — Applied Intuition, Inc., a leader in physical AI, today announced the launch of Dana, the first agentic platform for building, testing, deploying and operating physical AI systems across industries. Dana combines the power of agentic AI and rapid application development with nearly a decade of Applied Intuition’s tooling, infrastructure and engineering knowledge. The result is a unified system that accelerates the development of intelligent machines in the physical world.

“We believe physical AI will become one of the defining technologies of this century,” said Qasar Younis, co-founder and CEO of Applied Intuition. “Our ambition is to help bring intelligence to a billion machines, and Dana is the platform we built to make that possible.”

Unlike general-purpose AI tools designed primarily for digital workflows, Dana is built for the complexities of machines operating in the physical world. Dana comes with all the platform capabilities needed to build and deploy safety-critical physical AI applications, including data, visualization and tooling, as well as the evaluation, traceability and governance these systems require. The platform was designed to work across industries and with a wide range of use cases, from software-defined vehicle development and advanced driver assistance systems (ADAS) to mining and construction operations, truck fleet management, robotics and intelligent in-vehicle experiences. With Dana, customers can:

Deploy Applied Intuition’s reference applications — spanning autonomy, fleet operations, and more — or build their own.Use both natural language and command-line interfaces to complete complex development tasks more intuitively and accelerate iteration cycles across teams and systems.Integrate the platform with enterprise systems and collaboration tools, like Slack and Jira, helping organizations connect fragmented engineering and operational workflows while embedding agentic capabilities across the development process.

Applied Intuition has used Dana internally since last year, building and delivering solutions on the platform for long-standing customers across automotive, trucking, mining, and agriculture. Dana’s agent-driven workflows have reduced critical phases of vehicle development timelines from months to days in some cases. Applied Intuition has offered limited, early access to select customers, including heavy-equipment manufacturer Komatsu and Isuzu Motors, who is using the platform to accelerate L4 autonomy for its fleet of commercial trucks.

“We’ve been impressed by how Dana can streamline complex engineering workflows and accelerate development,” said Yasuhiro Yazawa, Director, Isuzu Motors Limited, Japan. “Dana gives our engineering teams greater confidence to develop, track and deploy safe autonomous-vehicle capabilities at a much faster pace.”

“Applied Intuition has been a valuable technology partner as we continue advancing the digital capabilities that support the next generation of mining equipment and solutions,” said Peter Salditt, CEO, Komatsu Mining. “Dana represents another step forward, bringing intelligent, agentic capabilities into our engineering workflows to help our teams innovate faster, improve efficiency and ultimately create greater value for our customers’ operations.”

Dana is designed to help companies keep up with the fundamental shift now underway across industries. As autonomous vehicles, robots and industrial systems become more capable, manufacturers need a more integrated way to build, validate and deploy them safely. Dana gives teams a faster path from idea to production, and the confidence to put increasingly intelligent machines into the real world.

The future of AI is physical. Dana was built for it.

To learn more about Dana and Applied Intuition’s physical AI platform, visit AppliedIntuition.com.

About Applied Intuition
Applied Intuition, Inc. is powering the future of physical AI. Founded in 2017 and now valued at $15 billion, the Silicon Valley company is creating the digital infrastructure needed to bring intelligence to every moving machine on the planet. Applied Intuition services the automotive, defense, trucking, construction, mining and agriculture industries in three core areas: tools and infrastructure, operating systems, and autonomy. Eighteen of the top 20 global automakers, as well as the United States military and its allies, trust the company’s solutions to deliver physical intelligence. Applied Intuition is headquartered in Sunnyvale, California, with nearly two dozen offices across the globe, including in London, Munich, Tokyo, Seoul, and the Washington, D.C. metro area. Learn more at applied.co or press@applied.co.

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SOURCE Applied Intuition, Inc.

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