
AI Adversarial Red Team
Think Like an Attacker. Validate Real-World AI Risk.
Key highlights
- Adversarial attack simulation: Human-led attacks against your live AI system, not an automated checklist scan
- Business-impact validation: Proof of what an attacker can achieve, not a list of theoretical weaknesses
- Full AI attack surface coverage: Model, prompts, RAG, agents, tools and the APIs behind them
- Framework-aligned reporting: Mapped to OWASP LLM Top 10, OWASP AI Testing Guide and MITRE ATLAS

The challenges Indian businesses face
Indian enterprises are rolling out Copilot, AI assistants and agentic workflows at real speed. Most have already invested in application VAPT, API security testing, AI security testing, and secure development reviews. Even after all that spending, when the board asks a simple question, can somebody pull confidential data out of this system? very few teams can answer with evidence.
These are the questions that usually stay open:
- Can confidential or restricted information be extracted from your AI system?
- Can your guardrails and safety controls be bypassed through clever prompting?
- Can AI agents be tricked into misusing the tools and systems connected to them?
- Can one user access data belong to another user, or another tenant?
- Can prompt manipulation quietly influence a business process or decision?
- Can the AI system be pushed into performing an action nobody authorised?

The Matrix3D solution
Matrix3D helps organizations move from ad hoc AI use to a structured AI management system. We assess current maturity, identify gaps against all 10 clauses and 38 Annex A controls, define governance and control requirements, support implementation, and prepare the organisation for internal review and certification discussions.Our services include:
- ISO 42001:2023 readiness assessment and gap analysis
AI management system (AIMS) design and implementation - AI risk assessment and treatment planning
- Policy, process, and control documentation
- Role, ownership, and governance model definition
- Alignment with privacy, security, and audit functions
- Certification support and continual improvement planning
Matrix3D delivers practical ISO 42001:2023 consulting services that help organizations strengthen governance maturity without slowing innovation.Our implementation approach aligns business objectives, compliance requirements, and enterprise AI security into one structured AI management system: consistent with the India AI Governance Guidelines and the DPDP Act.
What you gain
Clarity on real risk
Know exactly which attacks succeed against your AI and which ones do not.
Evidence, not opinion
Every finding comes with the actual prompts, responses, screenshots or API traces that prove it.
Board-ready answers
An executive summary written in business impact language, ready for leadership and risk committee discussion.
Validated controls
Confirmation of whether the guardrails and safety controls you have already paid for are working.
Prioritised remediation
A fix list ordered by real-world risk, so your engineering effort goes where it matters most.
Recognised framework mapping
Coverage mapped to OWASP LLM Top 10, OWASP AI Testing Guide, MITRE ATLAS and NIST AI RMF.
Industries we support
- Banking & Financial Services (RBI-regulated)
- Healthcare & Life Sciences (NABH/NHA)
- Legal Services
- AI Product and SaaS Companies
- Enterprises running Microsoft Copilot, Copilot Studio agents and Azure OpenAI deployments
- Manufacturing (PLI/Make in India)
- Technology & SaaS
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Why choose Matrix3D
Matrix3D brings together 29+ years of enterprise security experience, CERT-In empanelment, ISO 27001:2022 certification and deep Microsoft security capability. We bring that same attacker mindset to AI systems, backed by AI-specific methodology and tooling.
- Human-led adversarial testing, supported by Garak, PyRIT, Promptfoo, Burp Suite Professional and OWASP tooling
- Proprietary Matrix3D AI-VAPT Harness for repeated payload execution, success-rate calculation and evidence packaging
- Deep Microsoft AI expertise across Copilot, Copilot Studio agents, Azure OpenAI and enterprise agentic workflows
- Clear rules of engagement, defined scope and no surprises during testing