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Generative AI is changing the cybersecurity world quickly. While businesses are using AI to improve productivity and automate work, cybercriminals are also using the same technology to launch smarter and faster attacks.
In this episode of the Analytics Insight Podcast, host Priya Diyalani speaks with Mohanraj Selvaraj, co-founder and head of engineering at Protectt.ai, to discuss the next-gen defensive security strategy in the age of generative AI. The discussion explores how AI-driven customer journeys are transforming brand discovery, trust, cybersecurity, compliance, and enterprise strategy.
A: Protectt.ai is as an organization that provides a security solution. We were the first-ever mobile RSP solution providers from India. We are 100% Make in India solution in terms of mobile application security. And we have our corporate office in Mumbai and our research and development center in Chennai. We were always focusing more on the mobile application security for the last six years now. And more recently, uh, we expanded our focus towards the security for AI. So we were doing security for mobile application before. We just expanded to the AI security as well. So to date, our core focus remains mobile app security as well as AI security.
And, about me, I'm head of engineering and co-founder of Protectt.ai. I lead the entire R&D team based in Chennai. So what excites me personally is that we are solving the problems at the intersection of scale, security, and innovation. We are ultimately securing today's problem, which is the mobile ecosystem, security, and, we are capturing to the tomorrow's problem, which is going to be the AI-driven threats. So that's where we are, and that's where we are progressing.
A: The threat landscape has changed completely. Earlier, attackers needed strong technical skills, time, and effort to break into systems. Today, AI tools can help automate many of those tasks. Hackers can generate scripts, test attacks, and even learn new techniques much faster than before.
The biggest change is speed. What once took days or weeks can now happen in a few hours. AI has made attacks faster, cheaper, and easier to scale.
A: Right now, attackers seem to have the advantage. Businesses have to follow rules, approvals, compliance checks, and long processes before adopting new AI systems. Attackers do not follow any rules. They simply use AI however they want.
Because of this, attackers can move faster and experiment more freely. AI has reduced the skill barrier for cyber attacks, which means even less experienced attackers can now perform advanced attacks.
A: Traditional security systems mainly depend on rules and signatures. For example, antivirus software checks whether a file matches a known threat. But AI-generated attacks can keep changing their appearance while still behaving in harmful ways.
That is why businesses now need behavior-based security systems. Instead of only checking known patterns, security tools should focus on detecting suspicious behavior and unusual activity in real time.
A: Yes, but organizations need smarter security systems. Security tools must continuously learn, adapt, and react quickly. Attackers are evolving every day, so defensive systems must also evolve.
Static security systems are no longer enough. Businesses need AI-native security models that can monitor behavior, detect anomalies, and respond immediately before damage happens.
A: Absolutely. AI can improve speed and automation, but human oversight is still very important. AI systems can sometimes behave unpredictably or make wrong decisions because they work based on patterns and context.
Humans are needed to review decisions, monitor systems, adjust security guardrails, and ensure that AI tools are working properly. Human judgment is still critical in cybersecurity.
A: Organizations need a multi-layered security approach. Security should cover every layer, including applications, devices, networks, APIs, and user identities.
A zero-trust approach is becoming very important. Businesses should continuously verify users, devices, and activities instead of trusting them automatically. Even a small security gap can become a major problem if attackers find it.
As AI adoption continues to grow, businesses must focus on building smarter, faster, and more adaptive security systems. Cybersecurity today is not only about preventing attacks. It is about staying prepared and responding quickly in a world where threats are constantly changing.
A: One of the biggest risks is misuse of AI tools. Many organizations are rapidly adopting generative AI without fully understanding the security challenges that come with it. AI systems can be manipulated through prompt attacks, data poisoning, or even deepfake content.
Another major concern is identity security. Fake voices, fake videos, and AI-generated identities are becoming harder to detect. Traditional passwords and authentication methods may not be enough in the future. Businesses need stronger and more intelligent identity verification systems.
A: Cyber resilience today is not just about stopping attacks. It is about being ready to respond quickly and continue operating even during a cyber incident.
Organizations should build AI-native security systems that can adapt in real time. Security should not only protect AI applications but also existing digital systems like mobile apps, APIs, servers, and customer platforms. Businesses must prepare for a future where attacks evolve continuously, and security systems must evolve just as fast.
Listen to the full podcast here.
