Daily Tech Digest - March 27, 2025


Quote for the day:

"Leadership has a harder job to do than just choose sides. It must bring sides together." -- Jesse Jackson


Can AI Fix Digital Banking Service Woes?

For banks in India, an AI-driven system for handling customer complaints can be a game changer by enhancing operational efficiency, boosting customer trust and ensuring strict regulatory compliance. The success of this system hinges on addressing data security, integrating with legacy systems, and multi-lingual challenges while fostering a culture of continuous improvement. "By following this detailed road map, banks can build a resilient AI system that not only improves customer service but also supports broader financial risk management and compliance objectives, said Abhay Johorey, managing director, Protiviti Member Firm for India. An AI chatbot could drive operational efficiency, perform enhanced data analytics and risk management, increase customer trust and have compliance benefits if designed well. A badly executed one could run the risk of providing inaccurate financial information to customers or infringe on their privacy and data. ... "We are entering a transformative era where AI can significantly improve the speed, accuracy and fairness of complaint resolution. AI can categorize complaints based on urgency, complexity or subject matter, ensuring faster escalation to the appropriate teams. AI optimizes complaint routing and assists in decision-making, reducing processing times," the RBI said.


Ethernet roadmap: AI drives high-speed, efficient Ethernet networks

The Ethernet Alliance’s 10th anniversary roadmap references the consortium’s 2024 Technology Exploration Forum (TEF), which highlighted the critical need for collaboration across the Ethernet ecosystem: “Industry experts emphasized the importance of uniting different sectors to tackle the engineering challenges posed by the rapid advancement of AI. This collective effort is ensuring that Ethernet will continue to evolve to provide the network functionality required for next-generation AI networks.” Some of those engineering challenges include congestion management, latency, power consumption, signaling, and the ever-increasing speed of the network. ... “One of the outcomes of [the TEF] event was the realization the development of 400Gb/sec signaling would be an industry-wide problem. It wasn’t solely an application, network, component, or interconnect problem,” stated D’Ambrosia, who is a distinguished engineer with the Datacom Standards Research team at Futurewei Technologies, a U.S. subsidiary of Huawei, and the chair of the IEEE P802.3dj 200Gb/sec, 400Gb/sec, 800Gb/sec and 1.6Tb/sec Task Force. “Overcoming the challenges to support 400 Gb/s signaling will likely require all the tools available for each of the various layers and components.”


Dealing With Data Overload: How to Take Control of Your Security Analytics

Organizations face several challenges when it comes to security analytics. They need to find a better way to optimize high volumes of data, ensure they are getting maximum bang for the buck, and bring balance between cost and visibility. This allows more of the "right" or optimized data to be brought in for advanced analytics, filtering out the noise or useless data that isn't needed for analytics/machine learning. ... If you're a SOC manager, and your team is triaging alerts all day, perhaps you've got one full-time staffer who does nothing but look at Microsoft O365 alerts, and another person who just looks at Proofpoint alerts. The goal is to think about the bigger operational picture. When searching for a solution, it's easy to focus only on your immediate challenges and overlook future ones. As a result, you invest in a fix that solves today's problems but leaves you unprepared for the next ones that arise. You've shot yourself in the foot. ... Organizations tend to buy different tools to solve different problems, when what they need is a data analytics platform that can apply analytics, machine learning, and data science to their data sets. That will provide the intelligence to make business decisions, whether that's to reduce risk or something else. Look for a tool, regardless of what it's called, that can solve the most problems for the least amount of money.


Cyber insurance isn’t always what it seems

Still, insurance is no silver bullet. Policies often come with limitations, high premiums, and strict requirements around security posture. “Insurers scrutinize security postures, enforce stringent requirements, and may deny claims if proper controls are not in place,” he said. Many policies also include exclusions and coverage gaps that add complexity to the decision. When used appropriately, cyber insurance plays a supporting role, not a leading one. “They should complement the defensive capabilities that focus on avoiding and minimizing loss,” Rosenquist said, serving as a safety net rather than a frontline defense. “Cyber insurance can provide important financial relief, but it should never be the first or only line of defense.” ... “Many businesses still believe they’re too small to be targeted, that cyber insurance is only for large companies, or that it’s too expensive. However, the reality is that over 60% of small businesses have been victims of cyberattacks, privacy breaches affect organizations of all sizes, and the cyber insurance market offers competitive, tailored options. Working with a skilled broker brings real value. They offer broad expertise and help build tailored solutions. With the proper guidance, organizations can create programs that address their specific risks and needs,“ explained Tijana Dusper, a licensed broker for insurance and reinsurance at InterOmnia.


RFID Hacking: Exploring Vulnerabilities, Testing Methods, and Protection Strategies

When an RFID reader scans an object, it emits a radio frequency (RF) signal that interacts with nearby RFID tags, potentially up to 1.14 million tags in a single area. The antenna on each tag absorbs this energy, powering the embedded microchip. The chip then encodes its stored data into a binary format (0s and 1s) and transmits it back to the RFID reader using reverse signal modulation. The collected data is then stored and processed, either for human interpretation or automated system operations. ... As with many wireless technologies, RFID technology adheres to certain standards and communication protocols. ... As RFID technology becomes increasingly embedded in everyday operations, from access control and inventory tracking to cashless payments, the risks associated with RFID hacking cannot be ignored. The same features that make RFID efficient and convenient, wireless communication and automatic identification, also make it vulnerable to cyber threats. RFID hacking techniques, such as cloning, skimming, eavesdropping, and relay attacks, allow cybercriminals to intercept sensitive information, manipulate access controls, or even exploit entire systems. Without proper security measures, businesses and individuals risk unauthorized data breaches, financial fraud, and identity theft.


How Organizational Rewiring Can Capture Value from Your AI Strategy

McKinsey’s research indicates that while AI use is accelerating dramatically (78% of organizations now use AI in at least one function, up from 55% a year ago), most organizations are still in early implementation stages. Only 1% of company executives describe their generative AI rollouts as "mature." For retail banking leaders, this reality check suggests both opportunity and urgency. The potential for competitive advantage remains substantial for early transformation leaders, but the window for gaining this advantage is narrowing as adoption accelerates. As McKinsey senior partner Alex Singla observes: "The organizations that are building a genuine and lasting competitive advantage from their AI efforts are the ones that are thinking in terms of wholesale transformative change that stands to alter their business models, cost structures, and revenue streams — rather than proceeding incrementally." For retail banking executives, this means embracing AI as a strategic imperative that requires rethinking fundamental business models, not merely implementing new technology tools. The most successful banking institutions will be those that undertake comprehensive organizational rewiring, driven by active C-suite leadership, clear strategic roadmaps, and a willingness to fundamentally redesign how they operate.


Securing AI at the Edge: Why Trusted Model Updates Are the Next Big Challenge

Edge AI is no longer experimental. It is running live in environments where failure is not an option. Environmental monitoring systems track air quality in realtime across urban areas. Predictive maintenance tools keep industrial equipment running smoothly. Smart traffic networks optimize vehicle flow in congested cities. Autonomous vehicles assist drivers with advanced safety features. Factory automation systems use AI to detect product defects on high-speed production lines. In all these scenarios, AI models must continuously evolve to meet changing demands. But every update carries risks, whether through technical failure, security breaches, or operational disruption. ... These challenges cannot be solved with isolated patches or last-minute fixes. Securing AI updates at the edge requires a fundamental rethink of the entire lifecycle. The update process from cloud-to-edge must be secure from start to finish. Models need protection from the moment they leave development until they are safely deployed. Authenticity must be guaranteed so that no malicious code can slip in. Access control must ensure that only authorized systems handle updates. And because no system is immune to failure, updates need built-in recovery mechanisms that minimize disruption.


Beyond the Black Box: Rethinking Data Centers for Sustainable Growth

To thrive under the growing pressure, the data center sector must rethink its relationship with the communities it enters. Instead of treating public engagement as an afterthought, what if the planning process started with people? Now, reimagine the development timeline. What if the public-facing engagement was prioritized from the very start? Imagine a data center operator purchasing a parcel of land for a new data center campus near a mid-sized city. Instead of presenting a fully formed plan months later, the client begins the conversation by asking the community: “How can we improve things while becoming your neighbor?” While commercial viability is essential, early engagement and collaboration can deliver positive outcomes without substantially increasing costs.  ... For data centers in urban environments where space is limited, the listen-first ethos still holds value. In these cases, the focus might shift to educational initiatives, such as training programs or partnerships with local schools and universities. Early public engagement ensures that urban projects align with the needs and priorities of residents while addressing their concerns. This inclusive approach benefits all stakeholders: for local authorities, it supports broader sustainability and net zero goals, and for communities, it delivers tangible benefits that clarify the data centre’s impact and value to the area.


Generative AI In Business: Managing Risks in The Race for Innovation

The issue is that businesses lack the appropriate processes, guidelines, or formal governance structures needed to regulate AI use, which, at the end of the day, makes them prone to accidental security breaches. In many instances, the culprits are employees who introduce GenAI systems on corporate devices with no understanding of the risks that come with it or their use even permitted based on the company’s existing data security and privacy guidelines. ... Never overestimate the power of employee education, which is essential in times when new innovations are far ahead of education. Put in place an educational program that delves into the risks of AI systems. Include training sessions that give people the tools they need to recognize red flags, such as suspicious AI-generated outputs or unusual system behaviors. In a world of AI-enabled threats, it’s important to empower employees to act as the first line of defense is essential. ... A preemptive approach that leverages tools such as Automated Moving Target Defense (AMTD) can help organizations stay ahead of attackers. By anticipating potential threats and implementing measures to address them before they occur, companies can reduce their vulnerability to AI-enabled exploits. This proactive stance is particularly important given the speed and adaptability of modern cyber threats.


How to Get a Delayed IT Project Back on Track

The best way to launch a project revival is to look backward. "Conduct a thorough project reassessment to identify the root causes of delays, then re-prioritize deliverables using a phased, agile-based approach," suggests Karan Kumar Ratra, an engineering leader at Walmart specializing in e-commerce technology, leadership, and innovation. "Start with high-impact, manageable milestones to restore momentum and stakeholder confidence," he advises in an online interview. "Clear communication, accountability, and aligning leadership with revised goals are critical." ... Recall past team members, yet supplement them with new members with similar skills and project experience, recommends Pundalika Shenoy, automation and modernization project manager at business consulting firm Smartbridge, via email. "Outside perspectives and expertise will help the team." While new team members should be welcomed, try to retain at least some past contributors to ensure project continuity, Rahming advises. Fresh ideas and insights may be what the legacy project needs to succeed but try to retain at least some past contributors to ensure project continuity, Rahming advises. "The new team members may well bring a sense of urgency, enthusiasm and skills ... that weren't present in the previous team at the time of the delay."


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