Cyber Defender Insights

India’s Digital Personal Data Protection Act (DPDPA India) sets a new baseline for how organisations collect, store, and process personal data. As data volumes grow and cyber risks intensify, enterprises face rising DPDPA compliance challenges—from governance gaps to evolving consent requirements. Understanding the core rules is now essential for every IT and security leader. Core Provisions of DPDPA India The DPDPA establishes numerous specific rules governing how a business may collect and use data. Examples include: Purpose limitation: A business may collect personal information only for clearly defined, lawful purposes. Data minimisation: A business may keep only the minimum amount of personal information necessary to conduct its business. Storage limitation: A business cannot keep personal information longer than is necessary for business purposes. Lawful processing: Every data processing activity must either be based on the owner’s consent or carried out for legitimate business...

Enterprises across India and the US face a rapidly evolving threat landscape where attackers move laterally, exploit multi-vector gaps, and evade traditional controls.  While Endpoint Detection and Response (EDR) strengthens endpoint visibility, modern SOC teams need deeper, correlated intelligence to outpace sophisticated adversaries. This is where XDR solutions become essential. The Challenge: Fragmented Security Tools Slow Down Response Many organisations use multiple security tools, which can increase the number of alerts security analysts receive when these tools operate in isolation. As a result, security teams are experiencing: Critical threats slip through due to a lack of correlation SOC teams struggle with alert fatigue Investigation and response cycles slow down Attackers exploit gaps between security layers EDR delivers strong endpoint telemetry, but it cannot provide the enterprise-wide context required to analyse advanced threat detection scenarios. How XDR Unifies D...

As enterprises accelerate AI adoption, they also expose themselves to unprecedented data privacy risks. The emergence of developing AI tools, automated data pipelines, and large-scale models enables new ways in which sensitive data may be exposed.  In this environment, Data Masking technology is a key control to protect enterprise data and ensure ongoing compliance. AI-Driven Data Risks Are Rising AI relies heavily on volume, variety, and speed of data. As a result, AI usage increases the likelihood that sensitive data will leave a secure location. Key AI-related risks include: Shadow AI usage, where employees unintentionally upload confidential data to external models. Model training leaks, where sensitive records appear in AI outputs. Third-party integrations that widen the attack surface. Automated data flows that replicate sensitive datasets across environments without proper controls. Traditional data protection alone cannot manage these threats. Enterprises need a method to n...

In 2026, Financial Services Providers in the US and India face an increasingly complex risk landscape due to accelerated digitalisation and the rise of sophisticated actors. As attack surfaces continue to grow, decision-makers will increasingly prioritise cybersecurity solutions for financial services that enhance resilience, enable compliance, and protect digital trust. Why Is Finance Highly Targeted? Banks, insurers, NBFCs, fintechs and payment service providers provide what attackers are looking for most: money, identity, and sensitive financial information. The industry is undergoing rapid transformation as it moves to cloud-based systems and API ecosystems, creating new exposure points for organisations. Attackers are now using automated tools, AI-based malware, and social engineering via deepfakes to evade traditional security controls. In addition to the shifting technology landscape, we are also witnessing a continued increase in attacks impacting the financial services sector....

With the rise in popularity of digital workplaces in both India and the USA, enterprise IT leaders are under constant pressure to secure a distributed workforce while maintaining productivity levels.  Businesses today will be investing even more rapidly than before in workspace management software as BYOD (bring your own device) remains their primary operating method. Hybrid Work Accelerates BYOD Adoption The hybrid working environment continues to evolve throughout 2026. Employees will demand seamless access to their corporate applications when working remotely on their own devices. At the same time, IT personnel will be responsible for implementing consistent controls across a diverse array of devices. To address this challenge, more organisations are adopting a unified solution from Seqrite (the enterprise division of Quick Heal Technologies Ltd.) to manage their environments. BYOD Creates New Threats to Security The introduction of personal devices into corporate environments ...

As enterprises modernise their security architecture, they face an essential question: ZTNA or VPN? Which remote access security model is suitable to meet the current threat? The emergence of hybrid work has expanded the attack surface, and adversaries are targeting identity, endpoints, and gaps in network trust. Now is a good time for organisations to re-evaluate their legacy VPNs, which cannot provide security at the speed of the changing environment. Why Traditional VPNs Fall Short For a long time now, VPNs have been at the core of remote access solutions; however, these limitations expose organisations to unnecessary risks. Implicit trust model - After the user is authenticated, they are granted access to the entire network, creating a significant opportunity for lateral movement. Performance bottlenecks - By backhauling user traffic through a centralised gateway, the bandwidth consumed on the connection will reduce user productivity. Poor scalability - Legacy VPN architectures ca...