To provide reliable security solutions, Indusface regularly checks and manages vulnerabilities.

To provide reliable security solutions, Indusface regularly checks and manages vulnerabilities.

Indusface, an application security SaaS startup, protects the critical web, mobile, and API applications of more than 3,000 global customers. Web Application Scanner, Web Application Firewall, DDoS and BOT Mitigation, CDN, and Threat Intelligence Engine are included in its fully managed platform. In an interview with CXOToy, Ashish Tandon, CEO and co-founder of Indusfacediscusses current security trends, your security solutions, latest security technologies, critical event management, future roadmap, and more.

What are the key trends driving the growth of Big Data/Cybersecurity/AI analytics/?

With remote and hybrid working taking center stage, the potential for cyber security threats has expanded significantly. One of the key trends of the day is to expand the attack surface and focus on end-to-end monitoring and coverage rather than just the conventional practice of installing antivirus solutions on computer systems or installing network firewalls.

Another major trend is consolidating end-to-end IT solutions, whether they are the digital tools needed for operations or cyber security products. Instead of opting for multiple vendors for different services, businesses are now increasingly relying on a single vendor for security support for every need. With the convergence of cloud and on-premises infrastructure, there is a growing trend of seamless cybersecurity mesh where, regardless of device or platform, a company’s digital infrastructure and networks remain under one security net constant and consistent.

Furthermore, the cybersecurity solutions of the future have now been integrated with AI and big data analytics. This is essential for real-time threat assessment, identification and response to security risks that can emanate from any of multiple channels. Big data and AI-driven cyber security solutions offer much more flexible and robust coverage that will not only make an organization feel more secure in the virtual realm, but also reduce the cost of damage caused by cyber attacks. in the future.

How is Big Data/Cybersecurity/AI changing? What are some of the key technological transformations in this space?

Recently there has been a huge increase in digital transformation. Businesses across all industries are turning to new digital tools and platforms that can keep them virtually connected with their audiences. In this journey towards digital transformation, companies tend to consider security only as an afterthought. However, as providers of security solutions, it is crucial to quickly and accurately identify vulnerabilities and threats. This kind of proactive approach to security driven by big data analytics and AI has become a major trend. The capabilities offered by AI and analytics offer superior and more holistic cyber risk analysis, as well as the creation of prevention systems. There is a diversity of data flowing from sources such as networks, computers, cloud platforms, and IoT sensors that allow security analysts and system administrators to create a framework that can manage existing and emerging threats. It is now absolutely clear that all successful cyber security solutions will be based on the integration of AI and big data analytics to counter future risks.

The advancement of Cybersecurity technology has influenced customers in their current and future needs. Explain the challenges facing this industry?

In the world of technology, change is the only constant. With the digitization of the operational landscape, a large number of dynamic alterations to the security environment, tools, and threats are being observed almost daily. In such a scenario, the challenge for the industry is to build the right software solutions and service mixes. Customer demand is constantly changing and solutions must be efficient, effective and capable of providing rapid protection. The use of the most advanced technologies, such as big data analysis and AI, is necessary to achieve the desired results at all times.

How are disruptive technologies like IoT/Big Data analytics/AI/Machine Learning/Cloud Computing impacting current innovation?

Modern cybersecurity professionals need to understand large volumes of security event data from various sources to predict, identify, segregate, and respond to security threats. It is essential to accurately identify and understand these data sets that help analysts understand cyber attack patterns and create intelligent solutions capable of generating alerts against potential risks. this is where, Big data analytics, artificial intelligence, machine learning, and cloud technologies are being integrated to create holistic cloud-based security solutions. These are comprehensive, automated tools that can detect patterns, correlations, activity trends, and other crucial information. AI algorithms are implemented to understand context, and through machine learning, constant improvements are made. These types of advanced solutions offer greater innovation and capabilities compared to conventional cybersecurity products.

What are some of the challenges your business faces today?

We are an organization that operates in the field of cybersecurity, and the key challenges we face are related to the ever-changing security landscape. New threats appear almost every day, and we need to create agile, automated, and intelligent products that act as safety nets for customer applications and other digital assets. We have been using the most advanced tools, such as AI and big data analytics, to monitor and understand digital behaviors, identify patterns, and predict risks to clients’ businesses. Consequently, our intuitive solutions are able to proactively respond to emerging threats and ensure safe and smooth operations for customers.

How can companies extract value from data efficiently, without increasing cost and complexity?

To begin with, companies need to implement a data architecture that can take advantage of new-age tools, i.e. Big Data, AI/ML, etc. to get the desired results. Lack of proper planning and implementation could lead to a significant waste of your resources, time and money. Once the architecture is in place, it is equally important to be clear about the desired outcomes based on the use cases. For example, at Indusface we have divided our results into two areas: 1. Immediate and automatic blocking of attacks based on patterns and anomalies and 2. Providing advanced analytics to constantly improve our 24×7 monitoring.

What is your leadership mantra?

My journey of entrepreneurial success through companies has taught me that nothing can be overwhelming if we have the will to do it. One has to be a team player, choose the right team and research in detail what needs to be done, who will do it and how. At no time should one feel intimidated by the offer or the scale of the competitors. These thoughts have helped me a lot throughout my journey.

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