Fast-moving ecosystem a top GenAI-related risk for Indian enterprises: Thales study
NEW DELHI: Nearly 70% of surveyed enterprises in India find that the fast-moving ecosystem of
artificial intelligence
(AI) is a top GenAI-related security risk, according to the findings of a survey conducted by French aerospace, defence and
cybersecurity
firm
Thales
.
The innovative use cases and applications of GenAI are rapidly cropping up across industries, and at the same time, GenAI-driven cyber attacks are on the rise which is making it burdensome for companies to build and implement security measures that can keep pace with the evolving threat landscape.
Other risks include a lack of integrity (66%) and trustworthiness (55%), Thales said in a report on Tuesday.
'The fast-evolving GenAI landscape is pressuring enterprises to move quickly, sometimes at the cost of caution, as they race to stay ahead of the adoption curve,' said Eric Hanselman, chief analyst at S&P Global Market Intelligence 451 Research.
'Many enterprises are deploying GenAI faster than they can fully understand their application architectures, compounded by the rapid spread of SaaS tools embedding GenAI capabilities, adding layers of complexity and risk,' Hanselman added.
Nonetheless, 72% of respondents in India are investing in GenAI-specific security tools, with 16% using newly allocated budget, as per the findings.
'Notably, security for
generative AI
has quickly risen as a top spending priority, securing the second spot in ranked-choice voting, just behind cloud security,' Thales said, adding that this shift underscores the growing recognition of AI-driven risks and the need for specialised defences to mitigate them.
'The clock is ticking on post-quantum readiness. It's encouraging that three out of five organisations are already prototyping new ciphers, but deployment timelines are tight and falling behind could leave critical data exposed,' said Todd Moore, global vice president (data security products), Thales, said.
'Even with clear timelines for transitioning to PQC algorithms, the pace of encryption change has been slower than expected due to a mix of legacy systems, complexity, and the challenge of balancing innovation with security,' Moore said.
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