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GOVERNMENT OF INDIA
MINISTRY OF ELECTRONICS AND INFORMATION TECHNOLOGY
LOK SABHA
UNSTARRED QUESTION NO. 1729
TO BE ANSWERED ON: 29.07.2026
AI-ENABLED CYBER THREATS
1729. SHRI G M HARISH BALAYOGI:
Will the Minister of ELECTRONICS AND INFORMATION TECHNOLOGY be pleased to
state:
(a) the details of Artificial Intelligence (AI) enabled cyber threats including AI-driven malware,
ransomware and autonomous cyber attack tools identified by the Government;
(b) whether the Government has assessed risks posed by AI-driven malware, ransomware and
autonomous attack tools to critical information infrastructure, financial systems and
Government networks and if so, the details thereof;
(c) the details of existing mechanisms for detection, prevention and response to AI-enabled
cyber threats;
(d) the details of capacity-building and cybersecurity preparedness measures undertaken for
Government agencies and critical sectors to address such threats;
(e) the details of research, development and deployment of AI-based cybersecurity solutions
for detection and mitigation of emerging cyber threats; and
(f) the details of steps taken or proposed to be taken by the Government to strengthen India's
preparedness, cyber resilience and incident response capabilities against AI-enabled cyber
attacks?
ANSWER
MINISTER OF STATE FOR ELECTRONICS AND INFORMATION TECHNOLOGY
(SHRI JITIN PRASADA)
(a) to (f): The Government is cognizant of the evolving cyber security threats and challenges,
including those arising from Artificial Intelligence (AI) enabled cyber threats. AI technologies
may increase systemic cyber risks by enabling automated reconnaissance, rapid vulnerability
exploitation, credential compromise and highly convincing multilingual social engineering
campaigns. These capabilities lower attack costs, accelerate weaponization, and make phishing
and impersonation attacks more scalable and difficult to detect.
Government is committed to ensuring an open, safe, trusted and accountable cyberspace.
Several legal, technical and administrative policy measures have been implemented to address
the risks posed by AI-enabled cyber threats, enhance cyber resilience, and strengthen incident
response capabilities, which inter alia include:
1. AI-driven situational awareness systems are deployed by the Indian Computer
Emergency Response Team (CERT-In) to detect malicious domains and phishing
activities for necessary mitigation.2. CERT-In has extended AI-enabled vulnerability assessment for public-facing digital
assets in a sandbox environment to detect and mitigate vulnerabilities.
3. CERT-In operates an automated cyber threat intelligence exchange platform for sharing
tailored alerts with organisations across sectors for proactive threat mitigation actions.
4. CERT-In has conducted 10 tailored cyber security exercises and drills on the theme
"Building Resilience against Frontier AI-driven Cyber Threats" during June–July 2026.
These exercises involved 1,470 participants from 345 Government and private
organisations across sectors such as Power, Telecom, Banking, Financial Services and
Insurance (BFSI), Transport, Education, Health and Space.
5. The Certified Security Professional in Artificial Intelligence (CSPAI) program was
launched by CERT-In and SISA in September 2024. This American National Standards
Institute (ANSI) National Accreditation Board (ANAB) approved program aims to
equip cybersecurity professionals with the skills to secure AI systems, proactively
address AI-related threats, and ensure trustworthy AI deployment in business
environments.
6. CERT-In conducts cyber security training programs in collaboration with Industry
partners to upskill the cyber security workforce in Government, public and private
sectors.
7. CERT-In is one of the international partners to co-sign the joint high-level risk analysis
report on Artificial Intelligence (AI) entitled “Building trust in AI through a cyber-risk-
based approach,” published by the National Cybersecurity Agency for France (ANSSI)
in February 2025.
8. Advisories and Guidelines:
i. CERT-In issues alerts and advisories regarding the latest cyber threats,
vulnerabilities, and countermeasures to protect computers, networks, and data on
an ongoing basis.
ii. CERT-In has issued guidelines in June 2026 requiring all Original Equipment
Manufacturers (OEMs) and technology providers to implement AI-accelerated
vulnerability protection, requiring AI-assisted security testing, continuous
monitoring, patch management, and incident response frameworks to defend
against AI-driven cyber threats.
iii. CERT-In has issued a “Blueprint for Reducing Exposure and Defending against
AI-Assisted Vulnerabilities Exploitation in Digital Infrastructure” in May 2026,
aimed at protecting digital infrastructure against rapidly evolving AI-driven cyber
threats.
iv. CERT-In has issued an advisory titled “Defending Against Frontier AI Driven
Cyber Risks” in April 2026, which outlined comprehensive measures for
organizations, MSMEs, and individuals to strengthen protection against advanced
AI-enabled threats.
v. CERT-In has issued technical guidelines in July 2025 for Bill of Materials (BOM)
for software, hardware, Artificial Intelligence, Quantum Computing &
Cryptography requirements to enhance the security and transparency of supply
chains.vi. CERT-In has issued an advisory in March 2025 depicting best practices for
effective and responsible use of Generative AI solutions.
vii. CERT-In has published “Cyber Security Guidelines for Smart City
Infrastructure” in February 2025 including measures for secure usage of Artificial
Intelligence (AI) and Machine Learning (ML) for smart city infrastructure and
applications.
viii. CERT-In has issued an advisory in November 2024 on deepfake threats and
measures that need to be followed to stay protected against deepfakes.
ix. CERT-In has published a whitepaper in collaboration with Mastercard in August
2023, highlighting the increasing attacks on Application Programming Interface
(API) and use of AI in mitigating these attacks.
x. CERT-In has issued an advisory in May 2023 on safety measures to be taken to
minimize the adversarial threats arising from Artificial Intelligence (AI) based
applications.
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