Shauli Zacks
Published on: December 12, 2024
SafetyDetectives interviewed Dhruv Khanna, CEO & Co-founder of Data Resolve Technologies. As one of the most prominent figures in the cyber security landscape, Dhruv has been instrumental in leading the charge for innovative solutions that address critical issues in data security. His commitment to empowering his team, coupled with a visionary approach to building a strong product platform, has propelled Data Resolve Technologies to new heights. Dhruv’s ability to foster growth and collaboration has elevated his company and positioned him as a transformative industry leader.
Can you share your journey in the cybersecurity industry and your role at Data Resolve?
I have over 25 years of experience in the cybersecurity industry, focusing on driving growth across business operations, product development, and global expansion. As the CEO of Data Resolve Technologies, I led the company’s transformation from a pre-revenue startup into a multi-million USD business with positive EBITDA. One of my key achievements was establishing a pull-based model for our SaaS platform, which resulted in 100% inbound-driven sales.
To drive growth and scalability, I introduced new Go-To-Market (GTM) strategies across India and Asia. These included distribution partnerships, MSSP models, co-branding, white-labeling, and product integration initiatives. I also focused on streamlining internal processes by automating sales and marketing workflows and developing in-house tools to improve efficiency.
One of my proudest accomplishments is building a Sales Factory Model that has strengthened our business’s resiliency during market downturns while minimizing the impact of employee attrition. I oversee cross-functional teams, including direct sales, product management, pre-sales, and professional services, while managing a network of 300 partners across three countries.
How has Data Resolve evolved since its inception in 2008, and what makes it stand out in the competitive cyber security landscape?
Since its inception in 2008, Data Resolve has grown from a focused cybersecurity startup into a trusted name in insider threat management and data leak prevention. Over the years, we’ve evolved by staying ahead of industry trends, developing innovative solutions like inDefend Advanced, and addressing the ever-changing challenges of data security.
What sets us apart is our commitment to tackling insider threats with a proactive, use-case-driven approach. Our solutions combine advanced analytics, real-time alerts, and user behavior monitoring to offer unparalleled protection for sensitive data. By delivering comprehensive security from a single dashboard, we empower organizations to mitigate risks while enhancing productivity, making us a standout in the competitive cyber security landscape.
With a proven track record, we currently serve 300+ clients across 15+ sectors, managing over 160,000 active licenses in four countries. This breadth of experience underscores our ability to address diverse organizational needs effectively, delivering tailored solutions that drive measurable results.
With the rise of hybrid work environments, how has Data Resolve adapted its solutions to address new challenges in insider threat management?
With the rise of hybrid work environments, Data Resolve has enhanced its solutions to address the unique challenges of managing insider threats in distributed teams. Our flagship product, inDefend Advanced, provides real-time visibility into user activities across on-site and remote setups, ensuring comprehensive protection for sensitive data.
We’ve focused on features like real-time alerts, detailed behavior analytics, and endpoint encryption to tackle risks like data exfiltration and productivity monitoring in hybrid workflows. By offering a unified dashboard and proactive security measures, we help organizations maintain control and mitigate risks, regardless of where their teams operate.
Data Resolve emphasizes user behaviour analytics in its solutions. How does this technology help organizations prevent insider threats without compromising employee privacy?
At Data Resolve, user behavior analytics (UBA) is designed to balance security and privacy. Our solutions, like inDefend Advanced, focus on monitoring patterns and detecting anomalies in data usage and activity, rather than surveilling personal content or infringing on employee privacy.
UBA helps organizations identify potential risks by analyzing behaviors that deviate from normal, such as unauthorized data transfers or unusual access attempts. This targeted approach ensures that only actions posing a threat are flagged, allowing businesses to prevent insider threats effectively while respecting employees’ personal boundaries and fostering trust.
In addition to proactive threat detection, administrators can access daily reports on productive and unproductive hours, log-in and log-out patterns, application whitelisting, and upload activities. These detailed insights enable organizations to optimize productivity while maintaining robust security controls, providing a comprehensive solution that aligns security with operational efficiency.
What role do you see AI and machine learning playing in the future of data loss prevention and insider threat detection?
For me, the key lies in understanding customer pain points and aligning the solutions of Data Resolve Technologies with their business and technology initiatives. The company adopts a collaborative approach by co-creating use cases with clients to address specific challenges. This process not only tailors solutions to meet client needs but also drives innovation, ensuring the company remains agile and competitive in a rapidly changing industry. This strategy has kept Data Resolve Technologies at the forefront of the cybersecurity market.
While automation is often seen positively, it presents significant hurdles as many companies struggle to keep their workforce’s skills aligned with the rapid pace of technological advancement. Additionally, employee retention remains a critical issue, exacerbated by the pandemic. With the industry evolving quickly, maintaining a stable and skilled workforce is essential. Addressing these challenges will be crucial for organizations aiming to thrive in a fast-changing environment.
Looking ahead, I want to underscore the transformative role of AI and machine learning in the future of data loss prevention (DLP) and insider threat detection. By leveraging AI-driven algorithms, organizations can achieve more accurate and real-time detection of anomalies, uncovering patterns that may otherwise go unnoticed. Machine learning enhances these capabilities by continuously evolving and adapting to new threat vectors, reducing false positives, and enabling predictive insights. This combination of advanced analytics and self-learning systems positions Data Resolve Technologies to deliver even more sophisticated and efficient solutions, ensuring comprehensive protection for clients in an increasingly complex digital ecosystem.
What emerging cybersecurity trends or threats should businesses be preparing for, and how is Data Resolve planning to address them?
Emerging cybersecurity trends and threats include the rise of sophisticated insider attacks, increasing vulnerabilities in hybrid work setups, and the growing exploitation of social engineering by cybercriminals. Businesses must also prepare for challenges posed by evolving data privacy regulations and targeted ransomware attacks.
At Data Resolve, we address these challenges through continuous innovation in insider threat management and data protection. Our solutions focus on advanced user behavior analytics, real-time incident alerts, and comprehensive data leak prevention. By staying proactive, we ensure businesses are prepared to tackle emerging threats while maintaining robust security and compliance.
I believe that consolidation among technology organizations is increasingly common, as many CXOs have invested heavily in various tools. However, the pressing question remains: how to generate a return on investment from these technologies?
Organizations are now exploring integrated platforms that allow them to tackle multiple challenges from a single interface. This trend is already impacting technology companies as they adapt to these evolving demands. Addressing these consolidation challenges will be crucial for companies striving to maximize the value of their technological investments.
