Mandar Patil
SVP - International Markets and Customer Success, Cyble
By embracing cloud-native architectures, advanced NLP models, and federated threat feeds, Cyble is accelerating digital transformation internally and externally—ensuring its solutions evolve with the rapidly changing threat landscape and the expanding digital attack surface.
STRATEGIC BRAND OUTLOOK
At Cyble, AI, data analytics, and digital transformation are not just enablers—they are foundational to its mission of democratizing cyber-threat intelligence.
“In FY 2025-26, we are further scaling our AI-driven threat detection models and predictive analytics capabilities to deliver hyper real-time, actionable intelligence to enterprises and governments,” says Mandar Patil, SVP - International Markets and Customer Success, Cyble. “Our proprietary AI models continuously analyze billions of data points across the dark web, deep web, and surface web to help organizations anticipate threats before they materialize. This intelligent automation is also embedded into our Digital Risk Protection platform, enabling faster incident response, reduced dwell time, and improved ROI for our clients.”
By embracing cloud-native architectures, advanced NLP models, and federated threat feeds, Cyble is accelerating digital transformation internally and externally—ensuring its solutions evolve with the rapidly changing threat landscape and the expanding digital attack surface.
ELEVATING THE BRAND NARRATIVE
Cyble’s brand narrative is rooted in trust, visibility, and resilience. It empowers organizations to proactively defend against emerging threats with contextual, curated, and country-specific intelligence. In a world where cyber-risk is both business risk and reputational risk, Cyble’s narrative resonates with CXOs, CISOs, and security practitioners alike.
“We amplify this narrative across omnichannel platforms by blending thought leadership with community engagement. Our brand voice carries through threat research reports, executive interviews, multilingual content campaigns, and industry-first alerts that often go viral across platforms like LinkedIn, Twitter, and cybersecurity forums. We also invest in localized storytelling—tailoring our insights to resonate with regional markets across India, the U.S., MEA, and Southeast Asia,” explains Mandar.
VISION FOR INDIA’S TECH GROWTH
India’s digital ecosystem is undergoing a historic transformation—from cloud-first initiatives to AI-driven public infrastructure. Cyble sees this evolution as both an opportunity and an imperative.
“We are deploying AI-powered telemetry systems to analyze emerging threats in the BFSI, healthcare, critical infrastructure, and SaaS sectors—leveraging predictive threat modeling to anticipate regional risks. Our India-focused CTI (Cyber Threat Intelligence) division collaborates with both government and private stakeholders to inform policy, compliance, and incident readiness. Through our real-time threat hunting and dark web monitoring capabilities, we are also helping Indian organizations mitigate third-party risks and brand attacks—areas that are increasingly critical in a hyper connected economy,” contends Mandar.
CONNECTING BRAND TO MARKET
Cyble uses AI and machine learning to understand how different security stakeholders—CISOs, SOC teams, CIOs, and even regulators—consume content, make decisions, and engage with its platforms. This enables the company to deliver hyper-personalized messaging that speaks directly to their pain points, risk profiles, and compliance needs.
Cyble’s adaptive marketing strategy includes intelligent segmentation, behavioral analytics, and real-time content optimization. Whether it’s a regional cybersecurity bulletin, an executive brief, or a zero-day threat alert, Cyble ensures that its content reaches the right audience, through the right channels, in the right format. This not only drives deeper engagement but also reinforces Cyble’s position as a trusted advisor in the cybersecurity landscape.
FUTURE-FOCUSED INNOVATION
R&D is the heartbeat of Cyble. “We have a dedicated innovation lab that focuses on evolving use cases for generative AI, autonomous threat intelligence, and synthetic attack surface mapping. In 2025, we are investing further into LLM-tuned threat summarization engines, zero-day detection mechanisms, and multilingual intelligence extraction tools to serve global customers,” says Mandar.
Cyble is also exploring responsible AI frameworks—aligning with regulatory developments around AI governance—to ensure its models are transparent, auditable, and secure. Cyble’s philosophy is simple - innovation without ethics is a risk.
“So, we innovate with intent—co-creating with customers, refining based on adversarial trends, and constantly evolving our platforms to offer not just visibility, but foresight,” sums up Mandar.
