Why managed detection and response will define the future of cybersecurity partners

Artificial intelligence is changing the cybersecurity industry, but its biggest impact may not be the technology itself. Instead, it is reshaping how channel partners generate revenue, deliver value and build long-term customer relationships. As enterprises move away from one-time security deployments towards continuous protection, partners are being pushed to rethink their business models around managed services and measurable security outcomes.

According to Govind Rammurthy, CEO & Managing Director, eScan, AI is simultaneously disrupting traditional channel models while creating new opportunities for partners willing to evolve. He believes the future belongs to partners that move beyond selling security products and instead deliver continuous Managed Detection and Response (MDR) services backed by AI and human expertise.

"The disruption hits partners who don't evolve. The opportunity rewards partners who recognise security outcomes matter more than implementation activities."

AI is shifting cybersecurity from implementation to managed outcomes

Govind Rammurthy believes the traditional cybersecurity model of selling licences, deploying products and moving on is gradually losing relevance. As organisations increasingly adopt managed security services, implementation work alone is becoming commoditised.

He explains that AI creates value not through standalone features or chatbot integrations, but by enabling partners to deliver better security outcomes. Instead of overwhelming security teams with thousands of alerts every day, AI can help prioritise incidents that genuinely require investigation.

"Partners combining eScan EDR, DLP and XDR with SIEM and AI-powered event analysis can offer true MDR, transforming 1,000 daily alerts into three genuine threats requiring action."

This shift enables partners to replace project-based engagements with recurring managed services, where customers pay for continuous protection rather than one-time deployments.

Recurring revenue depends on delivering measurable security outcomes

Building recurring revenue requires a fundamental change in how partners position their services. Rammurthy acknowledges that many organisations remain reluctant to pay separately for services, but says customers are willing to invest when the value is presented as measurable business outcomes.

Rather than selling abstract managed services, partners should focus on guarantees around faster threat detection, proactive monitoring and continuous protection.

"Customers don't pay for abstract services. They pay for concrete outcomes."

To support this transition, eScan is developing MDR-focused training programmes that combine its security portfolio with SIEM integration and large language model-based event analysis. Partners can deploy these AI capabilities using self-hosted open-source models, partner-managed infrastructure or eScan's own platform, allowing flexibility based on customer requirements.

Rammurthy believes recurring revenue is created by managing operational outcomes rather than billing for implementation hours, encouraging partners to adopt long-term service models supported by continuous SOC operations.

Security operations and integration skills will separate future leaders

The evolution towards AI-driven cybersecurity is also changing the skills partners require. According to Rammurthy, organisations that previously relied on implementation engineers must now invest in security operations professionals capable of interpreting threats, analysing attack patterns and orchestrating incident response.

He argues that successful MDR delivery also demands significant investment in operational infrastructure, including 24x7 Security Operations Centres, SIEM platforms, automation playbooks and alert correlation capabilities.

Beyond technology, partners must also develop the expertise to integrate multiple security platforms into a unified operational environment.

"Customers need SIEM for correlation and LLMs for analysis. Partners must do this integration."

Those willing to invest in security operations, recurring business models and integrated security architectures will strengthen their competitive position, while partners that remain focused on implementation projects may struggle to remain relevant.

Human judgement will continue to differentiate channel partners

As AI marketplaces and self-service security platforms become more accessible, Rammurthy believes channel partners will continue to play an indispensable role in areas where automation cannot replace human expertise.

One of those areas is understanding customer requirements. Organisations frequently recognise they need stronger cybersecurity but may not fully understand the technologies or operational models required to address their risks. Partners with deep knowledge of customer environments, industry regulations and business priorities remain well positioned to provide strategic guidance.

Equally important is accountability.

"When incidents occur, customers need people to call—not chatbots."

Rammurthy also highlights vertical specialisation as an increasingly valuable differentiator. Financial services, healthcare and government organisations all face unique compliance requirements and threat landscapes that generic AI platforms cannot adequately address. Partners capable of combining technical expertise with industry knowledge will continue creating value beyond technology implementation.

Building businesses around recurring value

Looking towards 2030, Rammurthy expects the cybersecurity channel to divide clearly between partners that embrace recurring service models and those that remain dependent on project-based revenue.

He believes successful partners will operate mature MDR practices, develop deep expertise in specific industries, master integration across security technologies and measure success through customer outcomes such as faster threat detection and improved incident response rather than licence volumes.

"The distinction is simple: winners built recurring businesses. Losers stayed in projects."

In his view, future customer relationships will be built around operational accountability rather than technology transactions. Partners that consistently deliver measurable security outcomes will strengthen customer trust while creating sustainable recurring revenue.

The next chapter of cybersecurity partnerships

Artificial intelligence is accelerating the transformation of cybersecurity, but its greatest impact may be on business models rather than technology alone. Govind Rammurthy's perspective highlights that the future of the channel will be shaped by continuous security operations, AI-assisted threat detection and long-term managed services rather than traditional implementation projects. For cybersecurity partners, success will increasingly depend on combining AI with human expertise, operational discipline and accountability to deliver outcomes customers can measure and trust.

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