Your AI Is Only as Trustworthy as the Governance Behind It.
AI is moving from experiment to infrastructure, making decisions, touching customer data, and shaping outcomes at scale. But most organisations are deploying models faster than they can govern them, with no clear view of what’s running, what it can access, or whether it’s compliant, secure, and accountable. That’s not an innovation problem. It’s an operations problem.
63SATS AI Ops brings governance, security, and lifecycle control to your AI, so you can scale it safely, prove it’s compliant, and trust every decision it makes.
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WHY MOST AI DEPLOYMENTS OUTRUN THEIR CONTROLS
Ungoverned AI isn’t an Asset. It’s a Liability waiting to Surface.
Models are being built, fine-tuned, and deployed across teams often without a central register, clear ownership, or a security review. Shadow AI creeps in through SaaS tools and APIs. Training data pulls in personal and regulated information. And when a regulator, auditor, or board member asks whether your AI is fair, safe, and compliant, most organisations can’t answer.
Do you know: every AI model and tool running across your organisation right now?
Can you prove: that your AI systems handle personal and sensitive data lawfully?
Is your AI secured: against prompt injection, data poisoning, and model theft?
Who owns: the risk when an AI system makes a wrong, biased, or unsafe decision?

Under India’s DPDP Act 2023 and the national AI governance guidelines, “we didn’t know” is no longer a defence.
FROM POLICY TO PRODUCTION
We help you take control of AI across its full lifecycle, establishing the policies and accountability that keep it compliant, hardening the systems that keep it secure, and managing the infrastructure that keeps it running reliably. Whether you’re formalising AI governance for the first time or certifying to ISO 42001, we turn AI risk into AI you can trust.
ISO 42001
The world’s first certifiable standard₹250 Cr
Maximum DPDP Act penalty for mishandling24×7
AI threat monitoring and incident
Build trusted AI with the right policies, oversight, and accountability. We help implement model registers, risk classification, bias and fairness controls, human oversight, and audit trails aligned with the DPDP Act 2023, India’s evolving AI governance framework, and global standards so you can innovate with confidence.
Keep your AI reliable from first deployment to retirement. We manage the infrastructure and lifecycle behind your models: provisioning, versioning, monitoring for drift and degradation, retraining, and secure decommissioning so your AI stays accurate, available, and accountable over time. Operational discipline for systems that never stop learning.
Secure AI against the threat’s traditional security misses. We protect your models, data pipelines, and AI infrastructure against adversarial attacks prompt injection, data poisoning, model extraction, and unauthorised access with continuous monitoring, red-teaming, and response tuned to the AI threat landscape. Security built for how AI breaks.
Achieve certification against the world’s first international AI management standard. We guide you through gap assessments, control implementation, documentation, and audit readiness, building an AI management system that demonstrates responsible AI to regulators, customers, and partners with proof, not promises.
WHERE AI EXPERTISE MEETS GOVERNANCE RIGOUR
Most providers can secure infrastructure or advise on compliance. Few can do both for AI. At 63SATS, our specialists combine deep AI and machine learning expertise with cybersecurity and governance experience. We help organisations align with the DPDP Act 2023, India’s evolving AI governance framework, and global standards like ISO/IEC 42001, translating complex requirements into practical controls your data science teams can implement and your board can trust. All backed by 24×7 monitoring through our TiM&RC SOC.
