Model and data securityAdvancedLesson 1786 min read

The EU AI Act and India's rules for security teams

What the EU AI Act and India's data and cyber rules mean for teams that secure AI, in general terms. Always confirm current rules with legal counsel.

Lesson in motion

In 60 seconds

The EU AI Act and India's rules for security teams

What the EU AI Act and India's data and cyber rules mean for teams that secure AI, in general terms. Always confirm current rules with legal counsel.

1/4
In simple words
Different cricket boards have slightly different rules, and a player touring abroad must follow the local ones. Companies that build or sell AI must follow the rules of each place they work in.
This lesson gives a security team's view of key rules. It is not legal advice. Laws, rules and deadlines change, and your obligations depend on your role and facts. Check the current rules with legal counsel.

The EU AI Act: a risk-based approach

The EU AI Act entered into force in 2024. Its obligations phase in over several years, and the exact dates for some parts have been discussed and adjusted, so check the current timeline. It sorts AI uses by risk.
CategoryMeaning, in general termsExamples of the kind of use
ProhibitedPractices considered unacceptable, bannedCertain manipulative techniques, and social scoring of the kind the Act describes
High-riskAllowed, with strict requirementsCertain uses in areas such as employment, education, credit and essential services, and some safety components
Limited risk (transparency)People must be toldChatbots telling users they are AI; labelling certain AI-generated content
Minimal riskNo specific new obligationsSpam filters, AI in games
The Act also has rules for providers of general-purpose AI models, with extra duties for the most capable ones.

What matters most to security teams

  • High-risk systems must meet requirements for accuracy, robustness and cybersecurity, including resilience against attacks such as data poisoning, adversarial examples and model flaws.
  • Risk management, data governance, logging, technical documentation and human oversight are also required for high-risk systems. Your AI-BOM, pipeline controls and logs become evidence.
  • Serious incidents involving high-risk systems must be reported to authorities.
  • Providers of general-purpose AI models with systemic risk have additional duties, including cybersecurity protection.

Why Indian companies should care

The Act can apply to organisations outside the EU, for example when they place AI systems on the EU market or when the output of their system is used in the EU. An Indian SaaS company or IT services firm serving EU customers may be a provider or supplier in scope, and EU customers may pass requirements down through contracts.

India: data, cyber and sector rules

Rule or bodyWhat it means for AI security, in general terms
Digital Personal Data Protection Act, 2023Applies when AI systems process digital personal data: notice, consent, purpose, security safeguards, breach handling and people's rights. Detailed rules and timelines are set by the government.
Information Technology Act, 2000India's main law on electronic records, cyber offences and intermediaries, with rules made under it.
CERT-InIndia's national agency for cyber security incident response. Its 2022 directions require certain cyber incidents to be reported to CERT-In within 6 hours of being noticed, and set requirements such as keeping logs.
Sector regulatorsRegulators such as RBI, SEBI and IRDAI issue cyber security and technology rules for their sectors, and increasingly discuss AI. Check what applies to you.
Watch out
An attack on an AI system is still a cyber incident. If a model server is compromised or data leaks through an AI feature, your normal incident reporting duties, including to CERT-In and sector regulators where they apply, may be triggered. Build AI incidents into your existing reporting process.

A practical approach

  1. 1

    Inventory

    Know which AI systems you build, buy and sell, and where their users are.
  2. 2

    Classify

    With legal counsel, decide which rules and categories apply to each.
  3. 3

    Map controls

    Link each obligation to controls you already have, such as ISO 27001, ISO/IEC 42001 and NIST AI RMF activities.
  4. 4

    Fill gaps

    Add missing controls: robustness testing, logging, documentation, incident reporting.
  5. 5

    Keep watching

    Assign someone to track changes to laws, rules and dates.

Watch and read more

Lab

An obligations map for two AI systems, with owners and questions for legal counsel.

~30 min

The problem

Pick two AI systems: one used inside your company and one sold to or used by customers (real or realistic, such as a resume screener and a customer support bot).

  1. For each, note: who uses it, where users are, whether it handles personal data, and what decisions it affects.
  2. Write your first guess of which rules might apply: EU AI Act category, DPDP Act, CERT-In reporting, sector regulators.
  3. For each, list the security controls that would provide evidence (logs, robustness tests, AI-BOM, incident process).
  4. Write at least three specific questions for legal counsel.

You are done when

Hard questions

Try to answer before you reveal. If you can answer these, you understood the lesson.

Q1Why might a resume screening tool be treated very differently from a spam filter under the EU AI Act?Reveal

The Act focuses on the impact on people's rights and safety. Decisions about hiring can seriously affect people's lives, and employment is an area named for high-risk uses. A spam filter has much lower impact, so it is usually minimal risk. The same technology can fall into different categories depending on its use.

Q2An attacker poisons your fine-tuning data and your chatbot starts leaking customer data. Which obligations might this trigger?Reveal

Possibly several at once: a personal data breach under the DPDP Act, a reportable cyber incident under CERT-In's directions, sector regulator notifications, contract duties to customers, and, if an EU high-risk system is involved, serious incident reporting under the AI Act. This is why AI incidents must go through the existing incident process, with legal counsel involved early.

Please sign in to continue.

Questions people ask

We are an Indian company with no EU office. Can the EU AI Act still apply?

Possibly. It can apply based on where AI systems are placed on the market or where their output is used, not only where the company is based. Ask legal counsel to assess your products and customers.

Is there one AI law in India?

At the time of writing, India relies on existing laws, such as the DPDP Act and the IT Act, plus government advisories, guidelines and sector regulators' rules, rather than one AI-specific law. This can change, so keep watching.

Does the 6-hour CERT-In reporting apply to every security event?

No. The directions list the kinds of incidents that must be reported. Your incident response team and legal counsel should know the current list and process, and AI incidents should flow into the same process.

Where can I read the official texts?

Read official sources: the European Commission's pages on the AI Act, CERT-In's website for its directions, and official Government of India sources for the DPDP Act and its rules. Avoid relying on summaries alone.

Lesson test

5 questions. Get 3 right (60%) to pass and complete this lesson.

Sign in to take the test and save your progress