India Leads APAC in AI/ML Transactions: Zscaler Study

ThreatLabz
Report Reveals 36x More AI/ML Transactions in World’s Largest Security Cloud,
Stressing the Need for Zero Trust Everywhere to Enable Secure GenAI Adoption
and Stop AI-Powered Threats
BENGALURU,
INDIA – APRIL xx, 2025 – Zscaler, Inc., the leader in cloud security,
today announced the release of its ThreatLabz
2025 AI Security Report, which draws on over 536 billion AI transactions
analyzed globally on the Zscaler Zero Trust Exchange™ between February and
December 2024. The report reveals a staggering 3,465% year-over-year increase
in AI/ML transactions showcasing 36x usage over a year. This report also
explores recent developments in areas that will undoubtedly influence AI in
2025 and beyond, including agentic AI, the emergence of DeepSeek, and the
evolving regulatory landscape.
The
report reveals a 3,000+% year-over-year growth in enterprise use of AI/ML
tools, highlighting the rapid adoption of AI technologies across industries to
unlock new levels of productivity, efficiency, and innovation. Enterprises are
sending significant volumes of data to AI tools, totaling 3,624 TB,
underscoring the extent to which these technologies are integrated into
operations. However, this surge in adoption also brings heightened security
concerns.
Enterprises
blocked 59.9% of all AI/ML transactions, signaling enterprise awareness around
the potential risks associated with AI/ML tools, including data leakage,
unauthorized access, and compliance violations. Threat actors are also
increasingly leveraging AI to amplify the sophistication, speed, and impact of
attacks—forcing enterprises to rethink their security strategies.
“As AI
transforms industries, it also creates new and unforeseen security challenges,”
said Deepen Desai, Chief Security Officer at Zscaler. “Data is the gold
for AI innovation, but it must be handled securely. The Zscaler Zero Trust
Exchange platform, powered by AI with over 500 trillion daily signals, provides
real-time insights into threats, data, and access patterns—ensuring organizations
can harness AI’s transformative capabilities while mitigating its risks. Zero
Trust Everywhere is the key to staying ahead in the rapidly evolving threat
landscape as cybercriminals look to leverage AI in scaling their attacks.”
Key
Insights from the ThreatLabz 2025 AI Security Report
India
leads in APAC, ranks second globally
India
emerged as the second-highest contributor to global enterprise AI/ML traffic,
trailing only the United States. Within the APAC region, India was the highest,
accounting for 36.4% of all AI/ML transactions — more than double Japan’s share
of 15.2% and nearly triple that of Australia (13.6%). The rest of APAC,
including the Philippines (6.5%), Singapore (5.6%), and New Zealand (4.6%),
collectively accounted for less than 20%.
ChatGPT
Dominates AI/ML Transactions, But Security Concerns Remain
ChatGPT
emerged as the most widely used AI/ML application, driving 45.2% of identified
global AI/ML transactions in the Zscaler Zero Trust Exchange. However, it was
also the most-blocked tool due to enterprises' growing concerns over sensitive
data exposure and unsanctioned use. Other most-blocked applications include
Grammarly, Microsoft Copilot, QuillBot, and Wordtune, showing broad usage
patterns for AI-enhanced content creation and productivity improvements.
DeepSeek
and Agentic AI: Innovation Meets Escalating Threats
AI is
amplifying cyber risks, with usage of agentic AI and China’s open-source
DeepSeek enabling threat actors to scale attacks. So far in 2025, we’ve seen
DeepSeek challenge American giants like OpenAI, Anthropic, and Meta, disrupting
AI development with strong performance, open access, and low costs. However,
such advancements also introduce significant security risks.
Finance
& Insurance Lead Enterprise AI Traffic by Industry
The
Finance & Insurance sector accounted for 28.4% of all enterprise AI/ML
activity, reflecting its widespread adoption, and indicative of the critical
functions supported by the industry, such as fraud detection, risk modeling,
and customer service automation. Manufacturing was second, accounting for 21.6%
of transactions, likely driven by innovations in supply chain optimization and
robotics automation. Additional sectors, including Services (18.5%), Technology
(10.1%), and Healthcare (9.6%), are also increasing their reliance on AI, while
each industry also faces unique security and regulatory challenges posing new
risks and possibly impacting the overall rate of adoption.
“India’s
rise to the top spot in APAC’s AI/ML adoption underscores a thriving innovation
landscape but it also highlights the growing attack surface,” said Suvabrata
Sinha, CISO-in-Residence, India at Zscaler. “With GenAI tools becoming
integral to everyday workflows, enterprises need real-time visibility, precise
controls, and scalable protection. Zscaler’s Zero Trust solutions enable Indian
organizations to safeguard users, workloads, and data with policy-driven access
rather than outdated network assumptions. Our platform leverages AI to combat
AI-driven threats—be it AI-powered attacks, shadow AI, or data leakage
delivering predictive breach insights, automated segmentation, and continuous
risk assessments. This allows India’s digital leaders to innovate quickly
without compromising trust.”
The
report also identified how agentic AI and open-source tools such as DeepSeek
have unlocked efficiencies and new avenues for threat actors. A surge in
AI-powered phishing, fake AI platforms, and deepfake-driven fraud marks a new
phase of cyber threats in India and beyond. Malware campaigns like “Flora AI”
have already begun exploiting enterprise interest in GenAI by mimicking
legitimate AI tools to deliver infostealers.
Methodology
Analysis
of 536.5 billion total AI and ML transactions in the Zscaler cloud from
February 2024 to December 2024. The Zscaler global security cloud processes
over 500 trillion daily signals and blocks 9 billion threats and policy
violations per day, delivering over 250,000 daily security updates.
About
ThreatLabz
ThreatLabz
is the security research arm of Zscaler. This world-class team is responsible
for hunting new threats and ensuring that the thousands of organizations using
the global Zscaler platform are always protected. In addition to malware
research and behavioral analysis, team members are involved in the research and
development of new prototype modules for advanced threat protection on the
Zscaler platform, and regularly conduct internal security audits to ensure that
Zscaler products and infrastructure meet security compliance standards.
ThreatLabz regularly publishes in-depth analyses of new and emerging threats on
its portal, research.zscaler.com.
About
Zscaler
Zscaler
accelerates digital transformation so customers can be more agile, efficient,
resilient, and secure. The Zscaler Zero Trust Exchange™ platform protects
thousands of customers from cyberattacks and data loss by securely connecting
users, devices, and applications in any location. Distributed across more than
150 data centers globally, the SASE-based Zero Trust Exchange™ is the world’s
largest in-line cloud security platform.