Deep AI Security Expertise
We understand emerging risks like prompt injection, model leakage, and LLM abuse.
AI Data Security & Governance Solutions
Compliance for Enterprise
Protect your organizations data across every stage of AI development. Our IT security and managed solutions team delivers end-to-end AI data governance, compliance, and security solutions, built for enterprise scale and industry regulation.
Enterprise AI Data Security & Governance for Model Development & Deployment
Compliance-Driven Security for AI Pipelines, Models & Data Workflows
We provide end-to-end data security and governance solutions that protect your AI data pipelines, training assets, and real-time models.
AI adoption brings powerful opportunities. It also brings powerful risks. Whether you’re training foundation models or deploying retrieval-augmented generation (RAG) systems, your organization’s data is exposed to new threats and compliance challenges. Our team specializes in AI-specific security architecture that protects your:
- Training data and proprietary datasets
- LLMs, APIs, and inference endpoints
- User inputs and prompt data
- Real-time AI solutions in regulated environments
Our AI Data Security & Governance Solutions
Our solutions secure data used in training and deployment.We harden infrastructure and validate model safety across stages.
AI Data Governance Frameworks
- AI-specific data classification and policy definition
- Alignment with ISO 27001, NIST 800-53, NIST AI RMF, GDPR, HIPAA
- Responsible AI policy advisory, RBAC design, and audit enforcement
- Data labeling privacy and role-based anonymization protocols
Secure AI Infrastructure Integration
- Data encryption in transit and at rest for training pipelines
- S3 bucket and object storage hardening (AWS, Azure, MinIO)
- Kubernetes and container security for MLOps workflows
- Endpoint hardening for AI development environments (VSCode, Jupyter)
Access Management & API Security
- Identity federation across AI and data pipelines (LDAP, SSO, MFA)
- Secure access to vector databases, LLMs, and model APIs
- Access segmentation between Dev, QA, and production stages
- Token lifecycle, expiration, and key rotation policies
Prompt Injection & Model Abuse Protection
- Prompt safety policy creation and monitoring
- RAG source validation and retrieval filtering
- Embedding sanitization and context injection controls
- User input boundary checks and abuse detection
Compliance, Auditing & Reporting
- Model audit trails (versioning, usage, and inference logs)
- Privacy and explainability controls for regulatory readiness
- Quarterly compliance audits and security posture scoring
- SIEM integration with CrowdStrike, Cisco, or SentinelOne
Fully Managed AI Security Solutions
Our managed solutions provide continuous oversight and operational discipline for AI data infrastructure and policies:
- 24/7 monitoring of data pipelines, model endpoints, and vector stores
- Incident response and threat remediation playbooks for AI platforms
- Governance dashboards with anomaly and drift detection
- Scheduled key rotation, permission audits, and policy updates
- Managed integration with compliance stacks and vulnerability scanners
Why Security-Focused AI Projects Partner With Us
Unified Governance Across Platforms
One policy framework across cloud, on-prem, and hybrid stacks.
Built-In Compliance Readiness
Everything we build aligns with NIST AI RMF, GDPR, HIPAA, and more.
Zero Trust AI Stack Support
Context-aware enforcement down to every query and access point.
Let's build a better digital world together.
Our experts will guide you through the complex world of technology and cybersecurity.
GET IN TOUCHWho Needs AI Data Governance?
- Enterprises building AI with sensitive or regulated data
- Healthcare, legal, and finance teams with compliance obligations
- R&D and MLOps teams managing multi-tenant AI workflows
- Organizations deploying LLMs, RAGs, or Copilot-style AI assistants
FAQs on AI Data Security
Find answers to the most common questions about AI data security and governance
GET IN TOUCHWhat is AI data governance and why is it important?
AI data governance involves establishing policies, controls, and oversight to manage the security, privacy, and ethical use of data in AI systems. It’s critical for ensuring data integrity, model accuracy, regulatory compliance, and trust in AI deployments.
How do you protect sensitive data used in AI training?
We implement encryption at rest and in transit, access control policies, role-based anonymization, secure data labeling pipelines, and container security across MLOps environments.
Can you help with compliance requirements like HIPAA or GDPR?
Yes. Our solutions align your AI infrastructure and practices with HIPAA, GDPR, ISO 27001, SOC 2, and NIST AI RMF.
How do you mitigate AI-specific risks like prompt injection?
We enforce prompt safety policies, sanitize input data, validate sources in RAG pipelines, and monitor for misuse or abnormal behavior.
Do you support both on-prem and cloud-based AI environments?
Absolutely. We secure hybrid AI infrastructures across AWS, Azure, GCP, and on-prem clusters.
Comply and Protect Your AI Data
Safeguard training and operational data from supply chain threats, poisoning and unauthorized access using robust security practices.