TrendAI channel partners driving cyber resilience in India’s AI threat landscape

With time, cyber threats evolve in scale and sophistication, and enterprises are rethinking traditional security strategies and increasingly depending on channel ecosystems to build proactive cyber resilience. TrendAI is responding to this shift by strengthening its partner ecosystem across India and the SAARC region.

In an interaction with Himanshu Kumar Gupta, Senior Director – Government Business and Channels at TrendAI, he highlighted how partners are playing a central role in delivering cybersecurity solutions and helping organisations prepare for AI-driven cyber threats.

Channel-first cybersecurity strategy driving TrendAI’s growth in India

According to Gupta, TrendAI’s growth in India over the past two years has been driven largely by its channel-first strategy.

“TrendAI has grown phenomenally well. And the role of channel partner is obviously very important for us because we don’t do any direct business in India.”

The company operates entirely through channel partners in the country.

“All the business that happens in India is through channel partners. Literally 100% business has happened through channel partners in the last two years.”

The biggest contributor to this growth has been increased deal-registration-led business from partners. It reflects stronger engagement and proactive sales efforts within the ecosystem.

TrendAI has also introduced multiple partner enablement initiatives, such as:

• Partner Ninja programme

• Trend Campus programme

These initiatives focus on improving partner awareness, technical capability, and product knowledge.

“As a result, partners have upskilled themselves and are now far more aware of what TrendAI offerings are.”

Why traditional cybersecurity models are struggling against AI-Driven attacks

The cybersecurity landscape has shifted a lot as cyberattacks increasingly operate at machine speed and leverage artificial intelligence. Traditional incident-driven security models struggle because they are reactive and executed at human speed.

“They are being executed at a human speed, and they are not really scalable to the extent of the current challenges.”

The conversation highlighted the scale of the challenge facing organisations in India.

“In 2025 alone, we had around 265 million cyber attacks. India, as a country, is the most attacked country in the world.”

Around 13% of global cyberattacks are targeted at India, making cybersecurity resilience a national priority. Traditional approaches also struggle because threats are often detected only after systems have already been compromised.

“By the time you respond to it, the data breach is done, and ransomware has already encrypted your system.”

Modern attacks are proactive, automated, and executed within seconds.

“The vulnerability is discovered on the fly, and the attack happens within seconds.”

Expanding attack surface across Cloud, AI workloads and digital public infrastructure

The rapid adoption of cloud computing, AI workloads, and large-scale digital public infrastructure has significantly expanded the attack surface for organisations.

Cloud security challenges

Cloud environments introduce shared responsibility models where providers secure infrastructure while customers must secure their own workloads. Misconfigurations remain one of the biggest risks.

“Many times, misconfiguration is the reason why the data breach often happens in the cloud.”

The heavy use of APIs across cloud platforms can also introduce cascading vulnerabilities.

“If there is some vulnerability attached to a particular API, it can compromise the entire cloud setup.”

AI workload security risks

AI models introduce new security risks that traditional security systems were not designed to address.

One example is data poisoning, where malicious datasets corrupt AI models.

“The dataset is introduced in the AI model, which corrupts the AI model, and the outcome becomes authorised but not valid.”

Another risk comes from the extensive use of third-party code libraries and open-source integrations while building AI models. These vulnerabilities can propagate into enterprise environments.

Digital public infrastructure as a critical target

India’s digital public infrastructure has become an attractive target due to its massive scale and interconnected nature.

Some of the examples include the Aadhaar identity system, the UPI digital payments network, and the DigiLocker digital document platform. These platforms integrate with banks, telecom operators, government agencies, merchants, and millions of users.

“A small breach in any of these systems can get into a larger network.”

Given the scale of transactions and integrations, even minor vulnerabilities can cause large disruptions.

From product resellers to cyber resilience advisors: The new role of channel partners

As cybersecurity challenges grow more complex, the expectations from channel partners are evolving. Traditional partners focused on selling licences and providing basic deployment support. Today, organisations expect far deeper engagement.

Customers now look for partners who can review security architectures, conduct red-team simulations, provide incident response support, and help organisations recover after breaches.

“Customers want a partner who can prepare them for this kind of breach and support them so that there is minimal disruption.”

Cybersecurity is increasingly seen as an ongoing journey rather than a one-time deployment.

“The question is not if the cyber attack will happen. It is only when the breach will happen.”

Partners must therefore move from plain product reselling to integrated cybersecurity advisory and resilience enablement.

Unified security platforms are improving visibility across multiple security tools

Another challenge organisations face is fragmented visibility across numerous security tools. Most enterprises today deploy multiple point security solutions, but lack unified visibility.

“The challenge is not technology. The challenge here is integration, configuration and visibility across all these tools.”

To address this problem, TrendAI offersa platform which provides visibility across multiple security layers.

The platform integrates security across endpoints, servers, workload environments, network security, email security, and AI applications and data security. This architecture allows organisations to monitor risk exposure and make fast and better security decisions.

“It provides a single pane of glass and single visibility across all these products.”

Conclusion: Cyber resilience requires a strong partner ecosystem

With the evolution of cyber threats faster than traditional security responses, organisations must adopt proactive cyber resilience strategies.

For TrendAI, the channel ecosystem remains the primary driver of this transformation. Investing in partner enablement, expanding platform-based security solutions, and preparing partners to become cybersecurity advisors rather than resellers, the company aims to help enterprises protect themselves against increasingly sophisticated AI-driven cyber threats.

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