Techno Moon

By Shibu Paul, Vice President – International Sales, Array Networks The Banking, Financial Services, and Insurance (BFSI) sector is one of the most crucial pillars of the global economy, serving as the foundation for economic stability and growth. In today’s digital world, where almost every transaction, investment, and insurance service is conducted online, data has become a key asset. However, the presence of such valuable data attracts malicious actors. Safeguarding sensitive data within the BFSI sector has emerged as critical concern and is essential to maintain customer trust, ensure regulatory compliance, and protect organisations from financial and reputational damage. The Growing Threat Landscape The BFSI sector is vulnerable to advanced cyber threats, including ransomware, phishing, insider attacks targeting customer data, and financial extortion. Emerging technologies like cloud computing , AI, and blockchain introduce additional vulnerabilities, making the sector more suscep...

Insider threats are growing in the Banking, Financial Service, and Insurance (BFSI) sector and are becoming more challenging to classify today. The attacks can result from oversights stemming from human error, malicious intent, or compromised third-party vendors. These threats are highly debilitating in terms of potential financial constriction, reputational injury, and legal action and any business should be worried about how to mitigate these threats. Traditional defenses like firewalls and perimeter security are no longer sufficient to safeguard organizations against these internal risks. However, to detect, prevent, and minimize insider threats within BFSI businesses, a new generation of cybersecurity technologies or digital arrests is needed. The Insider Threat Challenge in BFSI BFSI sector is the most exposed to insider threats because of its high-value, sensitive information dealing with customer data and sensitive confidential business operations. Recent reports indicate that ...

In the modern digital landscape, cyber threats are more changing and complex than ever. While cloud services, remote work, and insider threats have made the “castle-and-moat” approach obsolete, the Zero Trust Security brings that new age cybersecurity framework built on the principle of “trust no one, verify everything.”  What is Zero Trust Security?   Zero Trust model considers every request originating from inside or outside a corporate network as a potential threat. Unlike the traditional security model, access controls and identity authentication have to be done at every step of interaction. Other than multi-factor authentication (MFA), micro-segmentation, least privilege access, and continuous monitoring technologies, Zero Trust ensures that sensitive resources are accessible only to authorized users.  Why Zero Trust Matters   Conventional security models are assumed to be based on threats coming from outside an organization, based on a “trusted” internal netw...

Gear up for a conversation that’s set to redefine your tech perspective! Join us for a power-packed conversation featuring Shibu Paul, Vice President - International Sales at Array Networks , in an exclusive Innovation Talk with Kaanchi Chawla, Senior Sub Editor at Elets Technomedia! Source Link: https://www.youtube.com/live/P7sjamOIUvQ Website Link: https://www.arraynetworks.com/

By: Shibu Paul- Vice President– International Sales, Array Networks AI is a powerful tool with the potential to transform businesses through automation, innovation, and improved efficiency. Yet, alongside these opportunities come serious risks. While AI can fortify cybersecurity efforts, it can also be exploited by cybercriminals for more sophisticated attacks. Organisations now grapple with a crucial challenge: how to capitalise on AI’s advantages while safeguarding against its potential threats. Risks of AI in Security While AI offers powerful tools to enhance security, it also introduces new vulnerabilities that cybercriminals can exploit to launch more sophisticated and targeted attacks, including: Risk to Data Integrity The widespread use of Generative AI platforms in day-to-day operations can inadvertently lead employees to disclose personal and confidential information. This unintentional leakage can encompass customer data, intellectual property (IP), and other critical bus...

High availability, performance, and scalability are perhaps the biggest concerns of today’s digital landscape. Load balancers can be considered intelligent gatekeepers who optimize service functionality. They offer a seamless experience to the clients. However, to get maximum ROI with the load balancers, you need to ensure that it is operating at peak performance levels, and for this purpose, load balancing metrics are your key to success.  Load balancing metrics are crucial in giving insight into the performance and health of your load balancers. They measure where there is a need for adjustments to ensure optimal service delivery. Let’s have a look at 11 very significant load balancing metrics, why they need to be measured, and how you can achieve maximum benefit for your business.  Why Measuring Load Balancer Performance is Significant    Load balancers distribute incoming traffic evenly across a set of servers so that not just a single server is overwhelmed. It ...