AI Adoption Security
AI Adoption Security Services
Deploy AI Confidently — With Security and Legal Foundations
The pressure to adopt AI is real — but the risks are equally real. Insecure AI deployments create data exposure, regulatory liability, reputational harm, and competitive vulnerability. SIRI Law LLP helps organisations adopt AI securely — combining technical security assessment with legal and compliance advisory for a complete AI governance framework.
Overview
AI Adoption Security Services: Technical Depth Meets Legal Oversight
AI adoption is happening faster than security and legal frameworks can keep pace. Employees are using AI tools without organisational awareness. Developers are integrating LLM APIs without security review. Data is flowing into AI systems without privacy law compliance. And the consequences — data breaches, regulatory penalties, and reputational incidents — are starting to materialise.
SIRI Law LLP’s AI Adoption Security service covers the full adoption lifecycle: vendor assessment, integration security review, employee training, data governance, and ongoing monitoring — all aligned with DPDPA, GDPR, ISO 42001, and India’s emerging AI regulatory framework.
Our AI adoption advisory is unique in combining technical security and legal expertise — so the governance framework we build satisfies both your security team and your legal counsel simultaneously.
From Risk to Resilience
Our AI Adoption Security framework takes organisations from unmanaged AI use to a documented, auditable, legally compliant AI governance programme — at a pace that doesn’t block business adoption, but makes adoption secure.
We align with ISO/IEC 42001 (AI Management System), NIST AI RMF (AI Risk Management Framework), and DPDPA/GDPR requirements for AI data processing — giving you a framework that satisfies domestic and international stakeholders.
Services Offered
What We Handle
- AI inventory and shadow AI discovery — what AI tools are in use
- AI vendor security assessment — security posture of AI vendors you use
- AI integration architecture security review
- Data governance framework — what data feeds your AI systems
- DPDPA and GDPR compliance for AI data processing
- AI acceptable use policy drafting and employee training
- AI model security testing — prompt injection, output handling
- AI supply chain risk — third-party models and training datasets
- AI output monitoring and hallucination risk management
- Legal liability framework for AI-assisted decisions
- AI incident response plan — what to do when AI goes wrong
- ISO/IEC 42001 AI Management System implementation advisory
- NIST AI RMF alignment and gap assessment
- Regulatory monitoring — India AI policy and global AI regulation updates
Client Benefits
Why Clients Choose SIRI Law LLP
Shadow AI Discovery
Many organisations are surprised by how many AI tools employees are already using without IT or legal awareness. We identify shadow AI use as the first step in building a managed AI programme.
Legal + Technical in One Engagement
Our AI adoption advisory is genuinely integrated — not legal advice bolted onto a security review. A single engagement produces a framework that satisfies both your security and legal obligations.
Business-Enabling, Not Business-Blocking
We design AI governance frameworks that enable safe AI adoption — not frameworks that prohibit AI use and get ignored. Practical, proportionate, and fit for purpose.
Regulatory Future-Proofing
India’s AI regulatory framework is developing. We monitor regulatory developments and advise clients on building adaptable frameworks that can accommodate new requirements as they emerge.
Representative Matters
Typical Engagements
All matters described generically to protect client confidentiality.
AI Governance Programme – Technology Company
Conducted a comprehensive AI adoption security engagement for a 1,000-employee technology company — discovering 47 distinct AI tools in use, building an AI governance framework, and delivering targeted employee training to 800 staff.
DPDPA AI Compliance – Healthcare
Advised a healthcare provider on DPDPA-compliant deployment of an AI diagnostic assistance tool — including data governance, consent framework, DPIA, and patient notification requirements.
AI Vendor Assessment – Financial Services
Assessed an AI-powered fraud detection vendor’s security posture and data handling practices — identifying data residency issues, inadequate contractual protections, and unacceptable model training data practices. Client negotiated improved terms before deployment.
ISO 42001 Implementation
Supported a technology company in implementing ISO/IEC 42001 — achieving certification and using it as a market differentiator for enterprise customers with AI governance requirements.
What to Expect
Client Outcomes
AI Governance Framework Document
A complete, documented AI governance framework — policy, procedures, roles and responsibilities, risk register, incident response plan — ready for board approval and regulatory review.
Vendor Assessment Reports
Documented assessment of AI vendors in use or under consideration — security posture, data handling, contractual terms, and recommended risk treatment.
Regulatory Compliance Mapping
Mapping of your AI deployment against DPDPA, GDPR, ISO 42001, and NIST AI RMF — with gap analysis and prioritised remediation roadmap.
Frequently Asked Questions
What is shadow AI and why does it matter?
Shadow AI refers to AI tools being used by employees without IT or legal team awareness — ChatGPT, Copilot, Gemini, and dozens of specialised AI tools are increasingly used without organisational oversight. Shadow AI creates data privacy risks (confidential data entered into AI systems), security risks (data processed by unknown vendors), and regulatory risks (personal data processed without a legal basis). Identifying and managing shadow AI is the essential first step in any AI governance programme.
We have already deployed several AI tools. Where do we start?
Start with an AI inventory — a systematic identification of every AI tool and system in use across your organisation, including shadow AI discovered through network monitoring and employee surveys. From the inventory, we conduct a risk-tiered assessment — prioritising the highest-risk deployments for immediate security and compliance review while building the governance framework to manage new AI adoption going forward.
What is ISO/IEC 42001 and do we need it?
ISO/IEC 42001 is the international standard for AI Management Systems — providing a framework for organisations to manage the risks and opportunities of AI in a systematic, auditable way. Certification is not yet mandatory but is increasingly required by enterprise customers and public sector procurement. It also demonstrates a credible AI governance commitment to regulators. We advise clients on whether certification is appropriate for their context and, if so, support the implementation journey.
Ready to Strengthen Your Security Posture?
We begin every engagement with a scoping call — no commitment required.
Also see: AI & LLM Security Testing · Data Privacy Law