AI-Driven Cybersecurity Risks: What Indian Businesses Need to Know in 2026

Artificial intelligence is making businesses more productive, but it is also making cyberattacks faster and more sophisticated. Indian businesses, including startups and IT companies, need to understand how AI is changing cybersecurity risks and what basic controls can help reduce exposure.

How AI Is Changing Cyber Threats

According to CERT-In Advisory CIAD-2026-0020 dated 26 April 2026, advanced AI systems can assist with activities such as vulnerability discovery, automated reconnaissance, credential attacks and highly convincing phishing and impersonation attempts. CERT-In has classified the advisory as High severity.

This means cybercriminals can potentially automate activities that previously required significant technical expertise and time.

For businesses, the risk is not limited to large corporations. Smaller businesses can also be targeted because they may have fewer security resources.

Key AI-Related Cybersecurity Risks

1. AI-generated phishing and impersonation

AI can produce convincing emails, messages and other social-engineering content. Businesses should be particularly careful with urgent requests involving payments, passwords or sensitive information.

2. Faster exploitation of vulnerabilities

CERT-In warns that advanced AI capabilities can accelerate vulnerability discovery and exploitation. Businesses therefore need to keep internet-facing systems, applications and software regularly updated.

3. Risks from unverified AI tools

Employees may use AI applications to process business information without understanding how the information is handled. Sensitive financial, customer or proprietary information should not be entered into unverified AI tools.

4. Weak access controls

CERT-In recommends stronger access controls, including Multi-Factor Authentication (MFA), least-privilege access and Zero Trust principles for critical systems.

Why AI Security Is Becoming a Business Priority

The need to secure AI systems is itself becoming a major technology priority. Gartner estimated that global spending on securing AI will reach approximately $4.8 billion in 2027, up 68.7% from 2026.

This reflects a broader shift: businesses are no longer looking only at how AI can improve productivity. They also need to consider how AI applications, data and access points can be protected.

What Businesses Should Do

Businesses can start with a few practical measures:

* Enable MFA for critical accounts and systems.
* Keep operating systems, applications and internet-facing systems updated.
* Remove unused or unnecessary internet-facing services.
* Restrict access to sensitive information using least-privilege principles.
* Train employees to identify AI-generated phishing and impersonation attempts.
* Avoid using unverified AI tools for sensitive business information.
* Maintain reliable backups and regularly test recovery procedures.
* Monitor systems for unusual login, access and network activity.
* Maintain an incident-response plan for cybersecurity events.

CERT-In specifically recommends that MSMEs use measures such as MFA, regular security updates, managed security services, data encryption, reliable backups and employee cybersecurity training.

Conclusion

AI is becoming an important part of modern business operations, but its security implications cannot be ignored. Businesses that adopt AI should treat cybersecurity, access controls, employee awareness and data protection as part of the same technology strategy.

For Indian businesses, the objective is not to avoid AI. It is to use it while maintaining appropriate controls around business data, systems and access.

For expert guidance on this topic, contact your tax professional today.