Would Your Business Survive a Black Friday and Cyber Monday Cyberattack? from Darshana Manikkuwadura (Dash) As retailers prepare for the year’s biggest sales events, Black Friday and Cyber Monday also bring an unprecedented wave of cyber threats. While traffic spikes, carts fill, and revenue surges, cybercriminals see the perfect opportunity to blend into the noise and strike. This post explores how modern attacks—driven by automation, AI-powered bots, API exploitation, ransomware, and account takeovers—are evolving faster than many retail defenses can keep up. With customer trust already fragile and only a small percentage of consumers confident in retailers’ ability to protect their data, the impact of a breach during peak season can be devastating. From API-targeted bots that imitate human behaviour to client-side threats like Magecart and large-scale ransomware attacks that freeze entire operations, retailers face risks that go far beyond traditional cybersecurity challenges. This post breaks down the critical vulnerabilities exposed during high-traffic periods, explains why identity, data, and application security must work together, and highlights how Thales’ platforms—CipherTrust, OneWelcome, and Application Security—help businesses build resilience year-round. In a season where every second counts and every transaction matters, retailers must be ready to protect their systems, customers, and brand from the modern threat landscape. #Cybersecurity #Thales #BlackFriday #RetailSecurity #DataProtection #IdentitySecurity #APIProtection #BotDefense #RansomwareProtection #CISO #EnterpriseSecurity #CyberResilience #DigitalTrust #CipherTrust #OneWelcome #ApplicationSecurity #IAM #CloudSecurity #ThreatIntelligence #DataSecurity #darshanamanikkuwadura Darshana Manikkuwadura (Dash)
Advanced Retail Security Solutions
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Summary
Advanced retail security solutions use modern technology and data-driven strategies to protect stores from theft, cyber threats, and other risks. These systems provide smarter ways to keep people, property, and information safe, moving beyond traditional locks and cameras to include real-time monitoring, automated defenses, and intelligent prevention methods.
- Implement smart prevention: Add systems like fog machines and AI-powered cameras that actively stop theft and protect people before a crime can escalate.
- Monitor digital risks: Keep an eye on every type of network connection and digital device in your store, especially cellular traffic, to spot unusual activity and prevent hidden cyber threats.
- Use granular threat data: Base your security decisions on detailed local risk benchmarks instead of broad crime statistics so you know exactly which stores need more protection.
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--->Store Owner Developing Fog Machine to Thwart Robbery Attempts: In an inspiring story of innovation born from necessity, a local store owner transformed a dangerous situation into an opportunity to improve security technology. After experiencing repeated robbery attempts, the store owner decided to take matters into his own hands not by increasing guards or installing more cameras, but by developing a fog security machine designed to protect both people and property through smart prevention. When a robbery attempt occurs, the fog machine can be activated either manually by pressing a hidden switch or automatically through motion sensors or alarm triggers. Within seconds, the device releases a thick, white fog that rapidly fills the area. This fog is completely safe, odorless, and residue-free, yet so dense that visibility drops to almost zero. Confused and unable to see their surroundings, the intruders have no choice but to retreat, leaving the store and its occupants unharmed. >>Purpose and Innovation: The store owner’s invention highlights the growing shift from traditional, reactive security measures to proactive prevention systems. Instead of responding after a crime occurs, the fog machine stops the event in progress. It buys valuable time for police to arrive and ensures the safety of employees and customers. This technology represents a balance between innovation, safety, and practicality. It doesn’t rely on violence or confrontation; instead, it uses science and quick thinking to disarm a dangerous situation in the safest way possible. Key Features and Advantages 1.Instant Defense Mechanism: The fog activates within seconds, filling the entire space and blocking visibility completely. 2.Safe and Non-Toxic: Made from water-based compounds, the fog leaves no residue, odor, or damage to products or equipment. 3.Highly Effective Deterrent: Criminals are disoriented and forced to abandon their attempt, reducing both theft and potential harm. 4.Affordable and Low Maintenance: Once installed, the system requires minimal upkeep and can be integrated with existing alarm systems. 5.Psychological Deterrence: News of such systems discourages repeat offenders and adds an extra layer of protection through fear of the unknown. >>>Impact on Modern Security: The development of the fog security system by an everyday business owner reflects how innovation and experience on the ground can reshape safety practices. It shows that effective security solutions don’t always need to be complex or aggressive — they can be intelligent, humane, and efficient. As this concept gains popularity, more businesses, banks, and warehouses are adopting similar systems. The fog not only protects assets but also helps ensure that no one inside the premises gets hurt. It bridges the gap between technology and human safety in a way that traditional methods rarely achieve.
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We analyzed the immediate threat landscape at 75,434 retail locations across America to create the most comprehensive benchmarks ever. And we’re making all of that analysis available for free. Retailers lack a universal standard for security risks across their company footprint. Too many security teams are stuck prioritizing resources based on gut instinct, lagging incident reports, or city-wide crime stats that miss what's actually happening at your stores. Our US Retail Industry BaseScore Benchmark Report gives you the framework to allocate resources with precision using street-level threat intelligence within 0.25 miles of each location. Inside the free interactive tool available here: https://lnkd.in/eECVYmFM • National and regional risk benchmarks (regional variation is big) • Individual benchmarks for the top 100 US retailers by sales • State-by-state comparisons • Granular threat breakdowns (property crime, violent crime, unrest) • A case study showing how to benchmark your entire footprint, identify your 10 highest-risk sites, and conduct standardized threat assessments This isn't city-wide, generic crime data. This is sub-mile intelligence broken down by threat type at 75,434 specific locations. Without a universal risk standard, retail security teams are left guessing. You're defending budget requests with anecdotes. You're reacting to incidents instead of preventing them. This benchmark shows what becomes possible when your entire security strategy is grounded in granular, standardized threat intelligence. Prove which stores need security infrastructure. Optimize guard deployments with data. Defend your budget with evidence executives actually understand. The gap between reactive security and strategic security is intelligence.
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I keep seeing the same pattern with multi-site retailers. They spent 12-18 months deploying SD-WAN across their existing locations. Real money. Real complexity. And it works — for the branches they already have. But then they announce 40 new stores opening this year. And suddenly the SD-WAN team is looking at a 14-month deployment cycle for locations that need to be transacting in 90 days. So they call the carrier. Get single-carrier FWA stood up fast. Problem solved, right? Until you ask one question: who's watching the cellular traffic? Your firewall sees your branch. Your SASE platform sees your cloud apps. Neither one sees the cellular connections running your POS terminals, your security cameras, your IoT sensors, your backup links. That's 40-60% of your edge traffic that's completely invisible to your security stack. And it's not theoretical. A camera that normally sends 50MB suddenly pushing 5GB? That's data exfiltration. An unauthorized device connecting to your cellular network at 2 AM? That's a breach in progress. Single-carrier FWA with no security visibility doesn't just create a connectivity risk — it creates a security blind spot across every location you deploy. That's the gap we're closing at Aeris with MergeWiFi. Multi-carrier hardware that switches between networks automatically — not one carrier, three. Device-level security through Aeris IoT Watchtower that sees every SIM, every connection, every anomaly on your cellular network. Zero-trust policy enforcement at the edge before traffic ever hits the public internet. And a single dashboard managing it all across every location. Not SD-WAN complexity. Not consumer FWA with a business label. Not connectivity without security. Secure FWA. Connectivity and protection in the same platform. Nobody else offers both. 4,800+ new retail locations are opening across the country in 2026. None of them should be waiting for fiber. And none of them should be deploying cellular connectivity they can't see or secure. #FWA #IoTSecurity #RetailTechnology #ZeroTrust #Connectivity Jason Heina, Marcus Schmidt, Charlie Todd, John Atchison, Andrew McEldowney, Andy Keehn, Kevin Winchester, KEVIN R. PETSCHOW ✅, Lucas Winchester, Paul Margison, Susanna Song, ROB OLSON, Yazz Krdzalic, Wladimir de Lara Araujo
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💥 🛒 💥 Computer vision can solve retail's $112B shrink problem in ways traditional security never could. The retail industry loses billions every year to theft, fraud, damage, and administrative errors. For the Forbes Technology Council, I shared how AI and computer vision are reshaping how we tackle this challenge. AI-powered computer vision systems analyze customer behavior in real time, detecting anomalies before they turn into losses. They're especially valuable in high-traffic environments where traditional monitoring struggles to scale. A single system can track hundreds of interactions across multiple store sections, flagging issues with precision. But here’s where most AI teams get stuck: understanding why their models fail. Most retail AI systems are black boxes — when something goes wrong, there’s no way to understand why. Why did the system miss a theft? Why did it flag a legitimate customer? With Voxel51, you can visualize what your models see, identify failure patterns, and iterate based on real performance data. By removing guesswork and surfacing actionable insights, teams can confidently develop and deploy production-ready visual Al. Read the full Forbes article: https://lnkd.in/dtadiQv5 Learn how Voxel51 can help with your retail challenges: https://lnkd.in/dpsCBmFk
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Hybrid physical security solutions combine traditional on-site security measures (like guards and access control systems) with advanced technology-driven components (such as video surveillance, analytics, and remote monitoring). This approach offers several benefits: Enhanced Coverage and Efficiency: 24/7 Monitoring: Remote monitoring solutions provide round-the-clock surveillance, which can supplement or even reduce the need for on-site personnel during off-peak hours. Automated Alerts: Integration with analytics can automate threat detection and trigger alerts, ensuring that potential issues are identified and addressed promptly. Cost Savings: Reduced Manpower Costs: By supplementing physical guards with technology, organizations can lower the number of on-site security personnel, reducing labor costs without compromising security. Scalable Solutions: Hybrid systems allow for incremental investments in technology, making it easier to scale up security measures as needed without significant upfront costs. Improved Response Times: Real-time Alerts: Technology-driven components can detect and report incidents in real time, enabling faster response times compared to traditional methods. Remote Interventions: Security personnel can respond to incidents remotely, either through verbal warnings via speakers or by dispatching on-site guards. Increased Situational Awareness: Comprehensive Data Collection: Hybrid systems often include video analytics, IoT devices, and sensors that collect and analyze data, providing a more complete picture of the security environment. Centralized Management: A single platform can manage multiple security systems, allowing for better coordination and oversight. Flexibility and Customization: Tailored Solutions: Hybrid security solutions can be customized to meet the specific needs of different sites, whether it's a small business or a large, multi-site operation. Risk Mitigation: Redundancy: Combining physical and technological security creates redundancy, reducing the risk of system failure or human error. Predictive Analytics: Advanced systems can use data to predict potential threats and preemptively address vulnerabilities. Regulatory Compliance: Automated Reporting: Technology components can automatically log and report security incidents, aiding in compliance with regulatory requirements. Audit Trails: Detailed records and footage can provide valuable evidence in the event of an investigation, ensuring accountability. Enhanced Client Trust and Brand Reputation: Modern Image: Implementing advanced security solutions can enhance an organization's image, showing clients and partners that they are serious about security. Proactive Security Posture: Demonstrating a proactive approach to security can build trust with clients, stakeholders, and employees. ECAMSECURE- GardaWorld
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The future of retail security is watching smarter, not harder as AI-powered cameras reshape how stores prevent theft and optimize operations. Modern surveillance systems are no longer just passive observers. They actively detect suspicious behavior in real time, monitor object and shelf-level interactions, and identify repeat offenders where legally permitted. With capabilities like face recognition and automated alerts, these systems can instantly notify authorities when necessary-transforming how incidents are handled. Beyond security, AI also provides valuable operational insights such as store heatmaps and high-shrink SKUs, helping retailers refine staffing, layout, and product placement strategies. This shift matters because it enables retailers to act faster, reduce losses, and make smarter decisions—without compromising the customer experience. Still, the power of these tools comes with responsibility. Human oversight, legal compliance, and careful system tuning are critical to avoid false positives and protect privacy. AI is not replacing human judgment, but enhancing it. The real advantage lies in how intelligently we apply it.
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For years, only Walmart and Kroger could afford advanced theft prevention. Small retailers were stuck with basic cameras and hope. AI changed that equation. What used to cost millions is now affordable for any retailer. Before: Custom AI system = $500K+ upfront investment Now: Significantly cheaper Before: Need a team of engineers to build and maintain Now: Plug-and-play system managed remotely Before: Only enterprise-scale data centers could handle the processing Now: Any store with internet can access the same computing power For an affordable price, the neighborhood convenience store can have the same loss prevention toolkit as a Fortune 500 retail chain. This is what I mean by AI democratization. It's not just the big players who are getting bigger — the playing field is getting even too. Every retailer gets the same fighting chance to turn a profit.
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🔒 Holiday retail operations are under siege — and the threat goes far beyond Black Friday. According to new ransomware threat intelligence from the Halcyon's Ransomware Research Center, attackers are deliberately timing campaigns to coincide with peak shopping periods when retailers have zero tolerance for downtime and security teams may be stretched thin. From vendor and third-party access weaknesses to advanced evasion techniques and double-extortion data theft, the modern ransomware playbook is engineered to disrupt e-commerce platforms, POS systems, logistics, and customer trust — often before defenders even know they’re under attack. To protect holiday revenue and brand reputation, retailers need a defense strategy that goes well beyond traditional tools. The blog highlights critical defensive actions including: ✅ Strengthening identity and access controls ✅ Accelerated patching and network segmentation ✅ Dedicated anti-ransomware protections ✅ Immutable backups and tested recovery plans ✅ Robust incident response playbooks tailored to retail environments 📌 Ransomware isn’t just a tech problem — it’s a business continuity issue. Preventing attacks before they execute and preparing for fast recovery is essential to keep operations running when it matters most. 👉 Read the full insights here: https://lnkd.in/enBWzCRQ #cybersecurity #retailsecurity #ransomware #holidayseason #infosec #businesscontinuity
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AI-powered computer vision (CV) is transforming both physical stores and e-commerce. Once just for security, it's now essential for loss prevention, inventory tracking, and frictionless shopping. • Loss prevention & security. AI-powered cameras can detect shoplifting, loitering, and even recognize known offenders. • Frictionless checkout. Smart self-checkouts and carts scan products, verify ages for restricted items, and speed up transactions. • Better inventory management. Shelf-edge and ceiling cameras track stock levels, preventing stockouts. • Smarter store layouts. Heatmaps generated by CV optimize product placement and staffing based on real-time shopper movement. [Insights from Coresight Research] But it’s not just in-store – #ecommerce is also tapping into CV: ➝ AI-powered visual search. Platforms like Syte and ViSenze help online shoppers find products by uploading images instead of typing queries. ➝ Virtual try-ons & augmented reality. Brands like Perfect Corp. use CV to let customers try on makeup, glasses, or clothes digitally before buying. ➝ Automated product tagging & search optimization. Tools like Clarifai enhance product discovery by automatically recognizing and tagging items in online catalogs. CV is no longer just a tool – it’s becoming the brain of modern retail and e-commerce. With AI advancements, its capabilities will only grow. What’s next? Fully automated stores, AI-powered personalized shopping, and real-time stock updates across all channels. The future of retail is here. How do you see CV shaping retail and e-commerce in 2025? Let’s discuss! 👇 #shopify
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