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Building resilient AI strategies for Indian enterprises

Building resilient AI strategies for Indian enterprises

Time of India2 days ago

Artificial intelligence (
AI
) is progressively transforming businesses around the world, and India is not far behind. The technology is expected to bring about previously untapped economies of scale in the country and boost innovation and productivity.
By 2035, AI is expected to have a potential economic impact on India of USD 15.7 trillion while creating nearly 400,000 new jobs, illustrating the technology's breakthrough potential in Indian workplaces. This makes the jobs of C-suite executives and industry leaders extremely critical when deploying AI in workflows, as the goal should be to balance innovation, ethics, and improved security.
Cyber Resilience in the AI Era
However, due to the increased reliance on AI, cybercrime and its added complexities have grown. Data shows 95 entities were attacked in 2024, making India the second most targeted country. Thus, security has emerged as the highest priority in developing and implementing new AI technologies.
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Therefore, organizations must create a coordinated defense plan that integrates proactive security measures into their systems and procedures to maintain safety standards. One way to do this is by using generative AI (Gen AI) security systems, specifically autonomous AI systems or agentic AI. As these systems are designed to reduce human error, prioritize risks, and automate alarm analysis, they significantly increase overall security resilience. The inherent ability of such systems to rapidly process massive amounts of data makes them ideal for pre-emptively detecting attacks and reacting to them in real-time.
Creating a Governance Framework
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Another form of security lapse is the unauthorized use of AI tools within an organization. Such lapses may result in data breaches, misinformation, compliance violations, and security vulnerabilities—issues that will define the AI era. To avoid such scenarios, having an
AI governance framework
in place is key.
Such frameworks should include routine monitoring of the AI tools used to ensure compliance with regulatory standards. The European Union (EU) can inspire such a structure, having set the norm for AI regulation with its AI Act of 2024.
A change of mindset in the way security is viewed is key. Security should be a top priority for leaders in all departments, not just those in IT. One way is a cross-functional leadership team comprising security leaders, C-suite executives, engineers, developers, data management, security operations, IT operations, and incident response teams. This team can subsequently collaborate to establish a cyber resilience strategy while referencing pre-existing frameworks. This collaborative environment also empowers employees to understand security measures, which goes a long way in providing them with security measures. As a result, this boosts the organization's overall security framework and sends a strong message that security is the top-most priority.
Innovation with Accountability
Recent reports have stated that India's AI market will grow at a CAGR of 25-35%, reinforcing the country's innovation and job creation potential. The government has started initiatives such as the IndiaAI Mission and is also actively funding leading universities to develop solutions that address privacy concerns and cyber threats.
Therefore, the key should focus on establishing a governance framework that encourages innovation while ensuring accountability. Businesses must develop and implement a framework that offers users a responsible and ethical system. Just as sustainability has become integral to decision-making, leaders must go beyond mere compliance checkboxes and take an active role in shaping AI ethics. The future depends on leadership combining technology with the requisite guardrails, allowing India to pioneer a path to innovation, growth, and responsible adoption of AI.
The author is CTO of
Hexaware Technologies
.

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