Adaptive Cyber Labs is a cybersecurity provider based in India, founded by industry experts and MIT alumni. The company specializes in an adaptive security architecture, moving beyond conventional methods to offer dynamic and proactive threat management. They deliver specialized solutions tailored to the distinct security challenges of various industries.

Ingests and centralizes data from the entire security infrastructure, including POS systems, payment terminals, and IoT devices. This provides security teams with a single, comprehensive view of all activity within complex retail environments, eliminating data silos.

Unify In-Store Security Data for Centralized Visibility

Maps a baseline of normal operational behavior across all connected systems and continuously monitors for deviations. This process automatically correlates and prioritizes security events, drastically reducing false positive alerts and allowing personnel to focus on critical incidents.

Establish Behavioral Baselines to Pinpoint Real Threats

Sift provides a comprehensive Digital Trust & Safety Suite for fraud prevention, specializing in high-volume industries like retail. As an established provider trusted by major brands such as DoorDash and Yelp, the company offers solutions built on a vast, global data network to protect transactions.

Analyzes hundreds of signals from each transaction against a global data network in real-time. This process establishes user behavioral baselines to accurately identify and flag high-risk activities like the use of stolen payment data at the point of sale.

Real-time Transaction Analysis with a Global Data Network

Selectively applies additional verification steps only to transactions flagged as suspicious. This approach blocks fraud attempts without adding unnecessary steps or delays for legitimate customers, preserving the checkout experience.

Dynamic Friction Application for Suspicious Transactions

Feedzai, based in the USA, is a scaled provider specializing in financial crime and risk management. The company offers a platform that provides a single view of risk across payment channels, protecting over one billion consumers globally and securing trillions in payments annually for retail banks and merchant acquirers.

Creates a unique profile of 'normal' transaction behavior for every customer. The system then monitors transactions in real-time, identifying abnormal events that deviate from these established profiles to accurately detect and stop threats like payment fraud and scams.

Establish Individual Baselines with Behavioral Analytics

Delivers high-speed risk monitoring at a massive scale, processing over 70 billion events annually. This capability allows retailers to stop fraudulent transactions before they are completed, reducing financial losses and minimizing false positives that inconvenience legitimate customers.

Analyze and Block Fraudulent Transactions in Real-Time

Solink provides a cloud-based video security platform that unifies security operations for businesses, primarily in the retail sector. By integrating video footage directly with transactional data from POS systems, it offers a comprehensive solution for loss prevention and operational oversight. The platform is designed to give businesses clear, contextual insights into their daily activities.

Instantly retrieve video clips linked to specific point-of-sale transactions, such as voids, refunds, or no-sale events. This provides verifiable visual context for every transaction, dramatically reducing the time required to investigate discrepancies or potential theft.

Synchronize Video Footage with Transactional Data

Search across all locations for specific events, like motion in a restricted area after hours or unusual transaction patterns, instead of manually reviewing hours of footage. This allows security teams to proactively identify and address potential fraud or theft by focusing investigations on data-backed anomalies.

Flag High-Risk Events with Data-Driven Search

Veesion is a surveillance technology provider headquartered in France and Portugal, specializing in real-time theft detection for retailers. Their software integrates with existing camera systems to identify suspicious gestures, helping over 5,000 stores across 25+ countries reduce shrinkage. The company is backed by significant venture funding to support its global expansion.

Continuously analyzes live video feeds to recognize specific suspicious behaviors, such as a person concealing an item in a bag, pocket, or stroller. When a potential theft is identified, the system sends an immediate video notification to staff mobile devices, enabling intervention before the person leaves the store.

Detects Theft-Related Gestures in Real-Time

Operates as a hardware-agnostic software layer, making it compatible with any type of existing camera and video management system. This removes the need for costly new hardware installations, allowing for rapid deployment across a retailer's entire network of stores.

Integrates Directly with Existing Camera Systems

SeeChange Technologies is a UK-based provider specializing in computer vision platforms for the retail sector, integrating directly with existing CCTV systems. Spun out from Arm in 2021, the company possesses a strong technical foundation and strategic partnerships with industry leaders like Diebold Nixdorf and Intel. They focus on delivering practical solutions for in-store operational challenges, particularly at self-checkouts.

The platform's core system learns directly from a store's unique transaction data and video feeds to identify new and evolving methods of self-checkout theft. This self-learning capability reduces false positives and improves detection accuracy over time without requiring manual system updates, as demonstrated by dropping shrink levels from 3% to below 1% in pilot programs.

Continuously Adapts to Store-Specific Shopper Behavior

Retailers can define custom business rules to trigger specific, immediate actions when theft is detected at self-checkouts. The system can issue a gentle notification on the shopper's screen to correct a mistake or send a discreet alert with video evidence to a staff member's device, enabling a targeted response that minimizes confrontation and reduces staff intervention needs by nearly 15%.

Delivers Flexible, Real-Time Intervention Options

Pitaya is a SaaS platform by Centific that integrates with a retailer's existing security and inventory hardware. It provides solutions for asset protection, workplace safety, and customer experience, co-developed with industry leaders in retail, CPG, and QSR. The platform is designed to be a cost-efficient solution by utilizing current infrastructure.

Analyzes video feeds from existing security cameras to identify specific fraudulent behaviors at self-checkout, such as missed scans or barcode swapping. The system issues real-time alerts to on-site staff to prevent loss and integrates with POS systems for detailed digital auditing.

Detect Self-Checkout Fraud with Existing Cameras

Processes video data to identify customer behavior patterns and in-store traffic flow. Retailers can use these insights to optimize store layouts, product placement, and staff deployment, turning security infrastructure into a tool for operational improvement.

Generate Operational Insights from Security Footage

Akuret AB is a Swedish company specializing in reducing retail shrinkage through operational data analysis. It integrates with existing ERP and POS systems to identify the root causes of financial loss. The company's advisory team consists of senior retail executives, ensuring a deep understanding of industry-specific operational challenges.

Continuously ingests and analyzes sales data from a retailer's ERP and POS systems to establish a normal sales pattern for every product. The platform automatically flags anomalies, such as a product that suddenly stops selling, to identify potential internal theft, phantom stock, or other operational issues that result in financial loss.

Pinpoint Inventory Loss by Analyzing Sales Velocity

CyberLucent provides a software platform, Lucid, that is embedded in network edge devices to proactively secure in-store systems. The company's patented technology is white-labeled by device manufacturers and internet service providers, indicating market validation and technical maturity. Their B2B model focuses on delivering a lower Total Cost of Ownership compared to traditional security hardware.

Creates a secure, virtualized network using a patented architecture embedded in edge devices like routers. This functionality isolates Point-of-Sale (POS) systems and payment terminals from general network traffic, such as public Wi-Fi, proactively preventing threats from reaching sensitive systems.

Isolate Critical In-Store Devices via a Virtualized Network

Monitors the behavior of individual devices and their secure network tunnels for anomalies. This provides an additional layer of threat detection by identifying unusual activity within the isolated network, enabling a quicker response to potential security incidents.

Detect Threats by Analyzing Network Tunnel Behavior

Dragonfruit AI provides an enterprise-grade video analytics platform focused on reducing retail shrinkage. The company specializes in combating self-checkout loss by identifying common fraud techniques in real-time. The solution is designed to integrate with a retailer's existing POS and camera systems.

Identifies multiple common theft methods at self-checkout, including barcode swapping, weight manipulation, and items bypassing the scanner. The system sends immediate alerts to staff, enabling intervention before a loss occurs.

Detect Specific Self-Checkout Fraud Techniques in Real-Time

Integrates with point-of-sale systems to display prompts directly to the customer when a potential mis-scan is detected. This allows for immediate, non-confrontational correction and prevents loss without requiring staff intervention for every incident.

Trigger Customer-Facing Alerts on Existing Checkout Screens

Panoptyc provides a video asset protection platform for retailers and micro-market operators to reduce losses from theft. With an operational footprint across over 20,000 locations, the company specializes in identifying fraudulent activities at the point of sale for some of the world's largest retailers.

The system identifies specific suspicious actions like under-ringing items, fraudulent cancellations, or self-checkout walkouts as they happen. It then delivers precise video evidence of the event, eliminating the need for staff to manually search through hours of footage and providing clear documentation for investigation.

Pinpoint Suspicious Point-of-Sale Behaviors with Video Evidence

The platform is designed to connect directly with a retailer's current Point-of-Sale (POS) and camera hardware. This approach avoids costly new equipment installations and allows businesses to gain advanced monitoring capabilities using their existing infrastructure.

Integrate with Existing POS and Camera Systems

Mazaal.AI is an innovative startup that provides a shoplifting detection system, Retail Guardian, for the retail security industry. The solution is designed to reduce shrinkage by identifying theft in real-time using a store's current camera systems. This approach eliminates the need for costly new hardware, making advanced loss prevention accessible and quick to deploy.

Deploy the shoplifting detection system using your current surveillance cameras, completely removing the need for new hardware purchases. This software-only approach significantly lowers capital investment and shortens the time to implementation for immediate loss prevention.

Integrate with Existing CCTV Infrastructure

Analyzes live video feeds to detect complex and subtle actions indicative of shoplifting. The system sends immediate alerts directly to store employees, giving them the opportunity to intervene and prevent potential theft before it occurs.

Identify Theft Behaviors for Real-Time Intervention

RadiusAI provides an integrated retail platform designed to transform the checkout process and reduce shrinkage. The company focuses on developing advanced computer vision technology, claiming significant intellectual property in the market. Its solutions are targeted at large-scale retail chains seeking to improve operational efficiency and loss prevention.

Utilizes computer vision to visually identify all items and construct a customer's cart in under a second, completely removing the need for barcode scanning. This speeds up transactions and mitigates losses from common issues like scan avoidance or barcode swapping.

Instantaneous, Scan-Free Item Identification at Checkout

Leverages a store's existing camera infrastructure to gather loss prevention evidence and analyze operational data. The system tracks queue lengths, customer dwell times, and identifies potential fraud or theft patterns, providing a comprehensive view of store activity to combat shrinkage.

Integrated Store-Wide Visual Analytics for Shrinkage Reduction

Oosto offers a Vision platform that improves security and safety, with a strong focus on retail loss prevention. The company has invested heavily in R&D to increase recognition accuracy and reduce demographic bias, while building in privacy-centric features. Their solutions are proven to operate at scale in complex, high-traffic environments.

Utilizes existing camera infrastructure to instantly identify known shoplifters or persons of interest from a retailer-managed watchlist upon their entry. The system sends immediate alerts to security personnel, enabling them to intervene before a potential theft occurs.

Proactively Identify and Alert on Watchlisted Individuals in Real-Time

Allows security teams to quickly search through weeks of recorded video footage to pinpoint suspects and trace their complete path through a store. This capability significantly reduces investigation time for both customer-related incidents and internal employee theft cases.

Accelerate Post-Incident Investigations with Rapid Video Search

Based in the USA, Coris provides a specialized risk platform that manages the complete merchant lifecycle for software platforms with embedded payments, payment processors, and fintech companies. The company's expertise lies in identifying and mitigating transaction fraud and operational anomalies within complex payment ecosystems. This focus allows businesses to secure their payment flows from onboarding to settlement.

Builds a comprehensive baseline of normal merchant activity using its 'MerchantProfiler' technology. It then deploys agents to autonomously investigate merchants, analyze risk patterns, and surface insights, flagging suspicious behavior instantly and reducing manual review workload by up to 80%.

Establish Merchant Activity Baselines for Autonomous Investigation

Performs real-time analysis of payment data to detect fraud, operational anomalies, and compliance violations before transactions are settled. This prevents financial fraud and data theft at the point of sale by identifying threats early in the payment lifecycle.

Analyze Payment Data Pre-Settlement to Block Threats

This use case provides proactive security for physical retail environments by monitoring the complex network of point-of-sale (POS) systems, payment terminals, and data repositories. The system works by first establishing a baseline of normal operational behavior, including network traffic, transaction patterns, and data access. It then continuously analyzes activity in real-time to identify anomalies that indicate a potential threat, such as malware, unauthorized access, or payment fraud. By flagging suspicious behavior instantly, security teams can investigate and respond before a significant breach occurs. This is critical for preventing the theft of sensitive customer data, avoiding financial fraud, and ensuring operational continuity, thereby protecting both revenue and brand reputation from the impact of a cyberattack.

Reduction in Mean-Time-To-Detect (MTTD) Threats

Prevents the theft of customer credit card and personal data from point-of-sale systems, protecting against financial fraud and preserving customer trust.

Safeguard Sensitive Customer Payment Information

Identifies and helps neutralize threats before they can disable critical in-store systems, such as payment terminals or inventory management, avoiding costly downtime.