In India, we are seeing a surge in attacks targeting healthcare, banking, and hospitality sectors. Political motives have also fueled an uptick in hacktivist-driven DDoS attacks, particularly affecting government services. In an exclusive conversation Sanjay Bhardwaj, MD India and ASEAN, Vehere tells Bhavya Bagga, Business Reporter (Corporate & Leadership), CXO Media & APAC Media how Vehere solutions allow rapid containment of ransomware and APTs, detect lateral movement and other advanced threats such as insider attacks, data exfiltration, supply chain compromises, and zero-day exploits.
Vehere specializes in AI-powered cyber network intelligence. How do you see artificial intelligence evolving in network defense, particularly in detecting and mitigating advanced persistent threats across India and ASEAN?
Advanced Persistent Threats (APTs) are not limited to India or ASEAN, but they are a global challenge that every nation and enterprise faces. Vehere’s focus is on empowering organizations with AI-powered cyber network intelligence to stay ahead of these sophisticated threats.
In our NDR platform, we harness multiple AI models to deliver two key security outcomes. First, AI is used to predict and detect attacks by analyzing network behavior—spotting anomalies, lateral movement, and suspicious patterns that might indicate an APT long before traditional defenses would. Second, we use Large Language Models (LLMs) to act as a force multiplier for analysts—simplifying investigations, correlating signals, and accelerating response with context-rich insights.
This combination allows enterprises and governments to scale their defenses, reduce alert fatigue, and respond faster to advanced threats. For us, AI is not just about automation—it’s about building a smarter, adaptive defense system that keeps pace with the evolving sophistication of APT actors worldwide.
Cyberattack patterns differ significantly across regions. What are the unique threat vectors you see emerging in India and ASEAN, and how will Vehere’s solutions adapt to these evolving risks?
In India, we are seeing a surge in attacks targeting healthcare, banking, and hospitality sectors, with a strong focus on exploiting cloud misconfigurations and vulnerable APIs. Attackers increasingly use generative AI for adaptive malware and sophisticated phishing, especially in tier-2 cities and critical infrastructure. Political motives have also fueled an uptick in hacktivist-driven DDoS attacks, particularly affecting government services.
In ASEAN, industrial, government, and financial sectors face frequent ransomware, malware, and IoT-based attacks. Many incidents originate from compromised local infrastructure used as launching pads for broader cross-border attacks, with data breaches frequently leading to the sale of sensitive records on darknet forums.
Vehere Network Detection and Response platform is designed to adapt swiftly to these regional threat landscapes. Our deep packet inspection technology, combined with network forensics, dynamic file analysis, intrusion detection, and AI-driven analytics ensure complete visibility into network activity with no blind spots. We also integrate seamlessly with SIEM, SOAR, and EDR tools to enrich alerts with local threat intelligence. This allows rapid containment of ransomware and APTs, as well as other detection of lateral movement and other advanced threats such as insider attacks, data exfiltration, supply chain compromises, and zero-day exploits.
With organizations moving toward cloud-first strategies, how is Vehere helping enterprises implement zero trust frameworks and secure hybrid environments at scale?
Zero Trust works on the principle of “never trust, always verify,” but many organizations struggle with visibility once users, devices, and applications are inside their environment. That’s where Vehere comes in. Our Network Detection and Response (NDR) platform continuously monitors traffic across cloud and hybrid networks, ensuring that trust is constantly validated, not assumed. By detecting suspicious behavior early and enabling rapid response, Vehere helps enterprises close the gaps that identity and access controls alone can’t cover—making it far easier to implement Zero Trust at scale without disrupting business operations.
Furthermore, Vehere is purpose-built to keep network data secure—by design, our platform runs on-premises because we believe this information is too sensitive to leave the organization. That being said, we recognize that enterprises are moving to hybrid environments. To support this shift, Vehere deploys lightweight probes and sensors in the cloud while keeping the central controller and analytics on-premises. This ensures full visibility across cloud and on-prem infrastructure while guaranteeing that sensitive data never leaves the organization’s environment.
This hybrid model allows enterprises to scale security seamlessly, maintaining the control and assurance of on-premises deployment while extending Zero Trust principles to cloud workloads.
As governments in Asia strengthen data sovereignty and compliance requirements, what role will Vehere play in helping enterprises align security operations with these regulatory frameworks?
At Vehere, privacy is a core building block of every technology we develop—we integrate privacy protections from the start and not as an afterthought.
In practice, this means that organizations retain full control of their data: all network activity is auditable, but as a vendor, we never have visibility into customer data ourselves. Our platform enables detection, analysis, and response while safeguarding sensitive information through measures such as end-to-end encryption and PII masking, even in non-production environments.
By combining these capabilities with adherence to regulatory frameworks, Vehere ensures that enterprises achieve mission-critical security while meeting data sovereignty obligations. In short, we balance confidentiality with transparency, giving customers trust and assurance that their data remains both secure and compliant.
Automation and AI-driven threat detection are gaining traction, but human expertise remains vital. How does Vehere strike the right balance between machine intelligence and analyst-driven insights in its cybersecurity approach?
Vehere’s cybersecurity approach expertly balances advanced AI automation with essential human expertise. Our AI-powered platform captures and analyzes 100% lossless network traffic in real time, using machine learning and behavioral analytics to surface precise, high-fidelity alerts and detect threats—including encrypted and sophisticated attacks, that traditional tools miss.
Furthermore, Vehere is enhancing its platform with a Large Language Model (LLM) that will act as a virtual co-pilot for analysts — simplifying investigations, correlating signals, and generating actionable insights faster. This will not only improve analyst efficiency but also create a continuous learning loop, as feedback from analysts is fed back into the LLM, making it smarter and more aligned with the organization-specific threats and alerts that analysts care most about.
Vehere doesn’t replace analysts; it empowers them. Our solution enriches alerts with full context and provides intuitive one-click investigation workflows, enabling teams to conduct forensic analysis, correlate events, and proactively hunt threats with greater speed and accuracy. By combining AI’s speed and scale with enriched human insights, Vehere builds resilient security operations that continuously adapt to evolving cyber threats.
Looking ahead, what key technology shifts—such as quantum computing, 5G security, or advanced encryption, do you believe will define the next decade of cyber defense, and how is Vehere preparing for them?
The next decade of cyber defense will be shaped by quantum computing, advanced encryption, and emerging technologies like 5G, all of which will introduce new threat landscapes. At Vehere, we are preparing by ensuring complete visibility across network traffic, even when encrypted, leveraging AI-driven behavioral analytics to detect anomalies and suspicious activity that traditional tools might miss. We are aligning with post-quantum cryptographic standards to safeguard sensitive data, while our AI models continuously learn from evolving threat patterns and analyst feedback. This approach ensures enterprises and governments are not only secure today but also future-ready for the evolving challenges of cyber defense.
