Blogs

The Growing Threat Landscape in Financial Services The financial services industry has always been a prime target for cyber attackers due to the value of financial data, transaction systems, and customer information it manages. As banks and financial institutions continue to adopt cloud platforms, digital banking channels, APIs, mobile applications, and interconnected technology ecosystems, the attack surface has expanded significantly. While organizations have mature security controls for known vulnerabilities, one category of threat continues to challenge traditional cybersecurity approaches — zero-day vulnerabilities. A zero-day vulnerability represents a security flaw that is unknown to the vendor or security community at the time of exploitation. Because no official patch or mitigation may initially exist, attackers can exploit these weaknesses before organizations have the opportunity to respond. For BFSI organizations, where availability, confidentiality, and trust are critical, managing zero-day risks has become a strategic cybersecurity priority. Why Zero-Day Vulnerabilities are a Major Concern for BFSI 1. High-Value Targets for Sophisticated Attackers Banks and financial institutions manage highly valuable assets including customer information, payment systems, authentication platforms, and financial transaction data. Cyber attackers increasingly use advanced techniques such as: Zero-day vulnerabilities provide attackers with a window of opportunity to bypass traditional security controls and gain unauthorized access. 2. Traditional Vulnerability Management is Not Enough Conventional vulnerability management programs typically depend on: While these approaches are essential, they primarily address known vulnerabilities. Zero-day vulnerabilities require organizations to move beyond reactive patching toward a proactive security strategy that combines: 3. The Unique Challenge of Zero-Day Protection in BFSI Financial institutions operate complex technology ecosystems consisting of: A vulnerability in any critical component can potentially impact business operations and customer trust. The challenge is not only identifying vulnerabilities but also answering critical questions: Building a Zero-Day Resilience Strategy 1. Continuous Asset Visibility You cannot protect what you cannot see. A strong zero-day defense strategy begins with accurate asset discovery and continuous inventory management. Organizations need real-time visibility into: Complete visibility enables security teams to quickly identify affected systems when new vulnerabilities emerge 2. Risk-Based Vulnerability Prioritization Not every vulnerability represents the same level of risk. Modern BFSI security programs must prioritize vulnerabilities based on: This allows security teams to focus on vulnerabilities that create the highest business risk instead of simply addressing issues based on severity scores alone 4. Strengthening Security Operations with Intelligence Modern cybersecurity requires collaboration between vulnerability management, security operations, and IT operations teams. By integrating: organizations can achieve faster detection, better decision-making, and coordinated remediation. Business Benefits of Zero-Day Preparedness A proactive zero-day vulnerability strategy enables BFSI organizations to achieve: Reduced Cyber Risk Minimizes exposure time and reduces opportunities for attackers to exploit emerging vulnerabilities. Improved Regulatory Readiness Supports continuous compliance with cybersecurity governance requirements and industry regulations. Faster Incident Response Enables security teams to quickly identify affected assets and execute remediation actions. Enhanced Customer Trust Protects critical banking services and strengthens confidence in digital financial platforms. The Future of Zero-Day Defense in BFSI Zero-day vulnerabilities will continue to evolve as technology ecosystems become more interconnected. Financial institutions can no longer depend solely on periodic security assessments and manual remediation processes. The future of cybersecurity resilience lies in combining continuous visibility, intelligent risk assessment, automation, and proactive threat response. For BFSI organizations, zero-day vulnerability management is not just a security initiative—it is a business continuity imperative that protects critical financial services, customer trust, and organizational reputation.

Why ATM Security Needs a New Approach in the Digital Banking Era ATMs remain one of the most critical customer-facing assets for financial institutions. Operating across thousands of geographically distributed locations—from metropolitan cities to remote rural areas ATMs provide essential banking services while handling sensitive financial transactions. However, as banks continue accelerating digital transformation across enterprise IT environments, ATM infrastructure often presents unique operational and cybersecurity challenges. Unlike traditional enterprise endpoints, ATMs operate in distributed environments with limited physical accessibility, specialized configurations, and strict availability requirements. With increasing cyber threats and evolving regulatory expectations, financial institutions must rethink how they manage security, compliance, and operational efficiency across their ATM ecosystem. The Challenges of Traditional ATM Patch Management Historically, ATM patching has relied heavily on manual processes, vendor coordination, and scheduled maintenance activities. While this approach may have worked in smaller environments, it becomes increasingly challenging as ATM networks expand. Financial institutions face several key challenges : Limited Visibility Across Distributed ATM Networks Maintaining real-time visibility into patch levels, operating system versions, and security compliance across thousands of remote devices is complex. Lack of centralized visibility can result in unidentified vulnerabilities and compliance gaps. Dependency on Manual Intervention Traditional patching processes often require coordination between internal teams, ATM vendors, and field engineers. This increases operational complexity and makes timely deployment of critical updates difficult. Extended Vulnerability Exposure Security patches addressing critical vulnerabilities must be deployed quickly. Delayed patch cycles increase the risk of exploitation, especially across devices operating in remote and publicly accessible locations. Increasing Regulatory Expectations Financial institutions are under growing pressure to demonstrate strong cybersecurity governance, continuous compliance monitoring, and audit readiness. Manual reporting processes are no longer sufficient for large-scale environments. Moving Towards Automated and Policy-Driven Patch Management Modern ATM security requires a shift from reactive maintenance to proactive, automated compliance management. An effective automated patch management framework enables organizations to: Centralize Endpoint Visibility A unified management approach provides complete visibility into ATM assets, operating systems, installed software, patch status, and compliance posture. Automate Patch Deployment Policy-driven automation allows organizations to define patch schedules, approval workflows, deployment rules, and rollback mechanisms while minimizing operational disruption. Improve Compliance Readiness Real-time dashboards and automated reporting provide security teams with continuous insight into compliance status and help simplify regulatory audits. Reduce Operational Dependency Remote automation reduces reliance on onsite interventions and vendor coordination, enabling faster response to security requirements. Business Benefits of Automated ATM Patch Management By adopting automation-driven endpoint management practices, financial institutions can achieve significant improvements: Improved Operational Efficiency Automated patch deployment eliminates repetitive manual activities and reduces dependency on field teams, enabling faster and more consistent patch cycles. Enhanced Security Posture Faster deployment of critical security updates helps reduce vulnerability exposure and strengthens protection against emerging cyber threats. Continuous Compliance Visibility Centralized monitoring and reporting provide audit-ready evidence of security controls and compliance status. Reduced Operational Risk Standardized processes, automated workflows, and controlled deployments help minimize errors and ensure consistent security practices across distributed ATM networks. The Future of ATM Security: From Endpoint Management to Intelligent Governance The future of ATM infrastructure management lies in combining automation, centralized visibility, and intelligent compliance monitoring. As cyber threats become more sophisticated and regulatory requirements continue to evolve, financial institutions must move beyond manual processes and adopt proactive security operations. Automated patch management is no longer just an operational improvement—it is a strategic capability that enables banks to protect critical customer touchpoints, strengthen cyber resilience, and deliver secure digital banking experiences.

If you’ve worked in IT long enough, you know the story alerts piling up like an endless monsoon, tickets arriving faster than your team can breathe, and systems stretching across cloud, edge, and hybrid setups like a giant, dynamic engine that never sleeps.  For years, we’ve tried to tame this complexity with rule-based automation—helpful, yes, but limited. Like giving someone a checklist when what they really need is an experienced guide. And as environments grew denser and data flows multiplied, those old rules started cracking at the seams.  This is where Agentic AI steps into the narrative—almost like a new character joining an overburdened cast.  Microsoft has been saying it for a while: today’s digital world needs systems that can understand context, learn continuously, and decide in real time without waiting for humans to point the way. Agentic AI embodies exactly that. Rather than playing the role of a passive assistant, it behaves like a full-fledged digital colleague—one that doesn’t just follow commands, but grasps business goals, reads logs with insight, and chooses the next best step with confidence.  Suddenly, tasks that once ate into hours—ticket categorization, routing, resolution—become actions handled swiftly and autonomously. And this shift isn’t just visible in technical outcomes; it’s shaping leadership perspectives too. MIT Sloan’s 2025 report revealed that 76% of global CEOs now view AI agents as co-workers, not tools—a telling sign of how deeply integrated these systems have become.  But perhaps the most dramatic chapter in this story unfolds inside AIOps. For years, IT teams have lived in firefighting mode. Studies suggest up to 80% of their time gets spent on basic operational work—a staggering cost to creativity and innovation.  Infosys highlights how Agentic AI changes this dynamic entirely. Instead of waiting for problems to erupt, AI agents monitor the environment proactively, detect anomalies early, summarize issues with clarity, and even execute remediation playbooks from start to finish. Escalation becomes the exception, not the default. The result? A hybrid operating model where AI handles the noise, and humans handle the strategy.  And that’s the heart of the story: Agentic AI isn’t replacing IT teams—it’s reshaping their days, lifting the burden of repetition, and letting people return to what they do best: problemsolving, planning, and innovating.  As enterprises continue adopting these agentic models, ESM and AIOps are stepping into a new era—one defined by intelligent autonomy, continuous learning, and decision-making aligned with human intent. Operations grow quieter, services more reliable, and teams more empowered.  The digital city keeps growing. But now, it finally has a teammate built for its speed and complexity. 

Global organizations face a unique challenge: how do you create a consistent, scalable support experience across dozens of business units and markets? The issue isn’t just technology; it’s complexity. Legacy platforms often can’t keep pace with evolving service needs, leaving IT teams tangled in rigid customizations, siloed tools, and outdated processes.  Consider the insurance sector, where customer expectations are rising rapidly. A leading insurer operating in 70+ countries found its legacy service desk hampered by non-scalable infrastructure and fragmented tools. Enhancements were rigid, intent recognition was weak, and multiple systems made end-user interaction disjointed. The solution was to migrate to ServiceNow IT Service Management (ITSM) and HR Service Delivery (HRSD), supported by Virtual Agent for intelligent support. Unlike legacy systems, ServiceNow offers a platform designed for flexibility, scalability, and cross-platform process integration. By consolidating multiple service functions into one unified experience, it allows organizations to break silos, streamline workflows, and meet employees where they are. The benefits extend beyond efficiency. Intelligent support allows HR and IT to deliver services in the same modern, consumer-grade way that customers expect outside of work. Self-service portals, chatbots with natural language understanding, and configurable workflows make it possible for employees to resolve routine issues instantly — whether it’s requesting leave or resetting a password. The real story here is one of transformation: moving from reactive, manual support to proactive, intelligent service delivery. For organizations competing globally, this isn’t just an operational improvement — it’s a strategic necessity. ServiceNow provides the platform to make it happen.

Customer service has always been the frontline of brand perception. In today’s hyperconnected world, response time and consistency are as important as the solutions themselves. Yet many organizations still struggle with fragmented knowledge bases, inconsistent agent performance, and long resolution cycles that leave customers frustrated. When you peel back the layers, the challenge isn’t effort — it’s access to the right information at the right time. Agents often juggle multiple systems, searching for policies or past tickets, while customers wait impatiently. Add in the pressure of volume across chat, email, and phone, and even experienced teams can struggle to keep quality consistent. The Data Security Council of India has forecast that the cybersecurity ecosystem will expand up to a point where nearly one million professionals will be required by 2025. Additionally, the demand for cloud security skills is estimated to grow by 115% between 2020 and 2025, representing almost 20,000 job openings, Narayan added. An extensive exercise in reskilling and/or upskilling the existing workforce, believe staffing experts, is one of the ways that telcos can future proof their work. Indian mobile phone operators are expected to at least double their investments on network security with the 5G roll out expected to spark a surge in network vulnerabilities, which assume critical importance especially for enterprises. However, it is already proving to be a challenge for telcos to have robust security teams.

The demand for around-the-clock support has reshaped how organizations approach customer and employee service. Traditional service desks, constrained by working hours and human availability, often leave users waiting. Virtual agents, however, are redefining these limitations — offering intelligent, always-on support that scales effortlessly. For industries like insurance or financial services, where inquiries span from claims to HR requests, ServiceNow Virtual Agent (VA) has emerged as a game changer. These conversational bots, powered by Natural Language Understanding (NLU), can engage users in human-like dialogue to resolve common issues instantly. Take, for instance, a leading global insurer seeking to streamline customer and employee interactions. By deploying ServiceNow Virtual Agent alongside IT Service Management (ITSM) and HR Service Delivery (HRSD), they transformed their service model. Routine queries — such as password resets, policy document requests, or HR leave balances — were handled by VA within seconds. More complex issues seamlessly transitioned to live agents, with full context passed along. The results are compelling. Not only do virtual agents cut resolution times dramatically, they also relieve human agents from repetitive, low-value tickets. Customers and employees enjoy faster, more consistent service, while organizations gain scalability without exponentially increasing costs. But perhaps the most strategic advantage is how VAs integrate with broader digital ecosystems. Through ServiceNow’s Digital Workplace (DWP), chatbots can connect to backend systems, pull real-time data, and deliver personalized responses. This elevates the experience from a basic FAQ bot to an intelligent assistant that feels embedded in the organization’s DNA. Virtual agents are no longer optional; they are fast becoming the foundation of modern service delivery. Organizations adopting them are not just improving efficiency but are also setting new expectations for intelligent, human-like digital experiences.

Employee onboarding is one of the most critical experiences in an employee’s journey , yet it’s also one of the most inconsistent. Manual paperwork, scattered processes, and delayed provisioning often leave new hires frustrated before they’ve even started their roles. For global enterprises with frequent hiring cycles, these inefficiencies compound quickly. Enter ServiceNow HR Service Delivery (HRSD) and Now Assist for HR, which are enabling organizations to automate and personalize onboarding at scale. In practice, this means that instead of HR staff spending hours coordinating checklists, approvals, and documentation, onboarding workflows are streamlined end-to-end. From the moment a new hire accepts an offer, the system automatically generates personalized onboarding tasks, delivers FAQs via chat, and ensures IT, facilities, and payroll processes are synchronized. For HR teams, the impact is immediate. Manual workloads decrease, freeing staff to focus on strategic initiatives like talent development and retention. For employees, onboarding becomes smoother and more engaging — they receive timely information, instant responses to queries, and a clear roadmap for their first weeks. One multinational firm that adopted Now Assist for HR reported a 40% reduction in onboarding time. More importantly, they achieved a cultural shift: onboarding was no longer a pain point but an opportunity to impress and integrate new employees quickly. In today’s tight labor market, first impressions matter more than ever. Organizations that embrace AI-powered HR automation aren’t just improving efficiency; they’re strengthening their employer brand and setting the tone for long-term employee engagement.

Employees today expect workplace support to mirror the convenience of consumer services. When they have questions about policies, benefits, or payroll, they want instant, accurate answers — not a frustrating hunt through portals or long waits for HR callbacks. For large enterprises with tens of thousands of employees, delivering this level of responsiveness can be daunting. That’s where AI-powered virtual agents, integrated with ServiceNow HR Service Delivery, are making a tangible difference. By embedding Now Assist into HR chatbots, organizations can respond to “How do I…” style questions with policy-accurate answers instantly. The AI doesn’t just look for keywords — it understands context, applies company policies, and updates responses dynamically as policies change. The benefits are striking. Enterprises adopting this approach have seen up to 70% deflection of repetitive queries, meaning HR teams are no longer bogged down by basic questions. Employees receive consistent and compliant responses, improving trust in the HR function. Meanwhile, HR professionals are freed to focus on complex, value-adding activities. More broadly, AI-driven employee support represents a cultural shift. Instead of employees seeing HR as a bottleneck, they view it as an always-available, supportive resource. For organizations competing to attract and retain top talent, this kind of employee experience is a powerful differentiator. ServiceNow’s approach demonstrates how HR can evolve from being a transactional function into a strategic enabler of productivity and satisfaction. In the age of AI, supporting employees effectively isn’t just about efficiency — it’s about creating workplaces where people feel heard and supported 24/7.

Field service has always been one of the toughest domains to optimize. Whether in utilities, telecom, or logistics, field technicians face unpredictable environments, complex equipment, and high customer expectations for first-time fixes. Traditional models often leave technicians without access to the right information at the right time, leading to repeat visits and frustrated customers. This is rapidly changing with AI-powered field service solutions, such as ServiceNow Field Service Management integrated with Now Assist. Picture a utility services company with hundreds of technicians distributed nationwide. Before AI integration, technicians often had to call back to headquarters for guidance or sift through lengthy manuals. Now, with AI-driven mobile apps, they receive real-time checklists, knowledge articles, and next-step recommendations directly on their devices during site visits. The results are transformative. First-time fix rates increase, operational downtime decreases, and customers enjoy faster, more reliable service. Organizations also save significantly by reducing repeat visits and optimizing resource allocation. What sets modern platforms like ServiceNow apart is their ability to integrate field service with the broader IT and service ecosystem. Issues identified in the field can be linked back to incidents, problems, or changes in the ITSM environment, ensuring root causes are addressed systematically. In a competitive marketplace, efficient field service is not just an operational necessity — it’s a brand differentiator. Companies that empower their frontline workers with AI and mobile-first tools are redefining customer expectations and building loyalty through reliability and speed. Bharti Airtel, for example, has been preparing for 5G roll out by upskilling its professionals and offering them certification courses such as CCNA (Cisco Certified Network Associate) and CCNP (Cisco Certified Network Professional). The courses are offered based on skill and eligibility level free of cost.