We are proud to be an official partner of Anthropic, the company behind Claude.
Security & Privacy Engineering
Secure inference, encryption key management, differential privacy and federated learning designs for sensitive data.
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Deliverables
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Outcomes
SLA
Production Ready
Secure AI for sensitive and regulated data.
Secure inference, encryption key management, differential privacy and federated learning designs for sensitive data.
What you get
Secure AI for sensitive and regulated data.
Secure inference
Encryption key management
Differential privacy
Federated learning designs
Problems we help you overcome
Sensitive data exposure in AI pipelines
PII and PHI leak into training data, logs, and model outputs without proper controls.
Cannot use centralized training
Regulations prevent pooling data across sites, blocking standard ML workflows.
Weak encryption and key management
Model artifacts and inference endpoints lack proper encryption at rest and in transit.
What we bring to the table
Secure inference architecture
Encrypted model serving with access controls, audit logging, and data masking.
Federated learning design
Train models across distributed data sources without centralizing raw data.
Differential privacy
Privacy-preserving training techniques with configurable epsilon budgets.
Industries We Serve
Healthcare & Life Sciences
Clinical NLP, coding automation, triage assistants (HIPAA-ready).
Financial Services
Fraud detection, automated underwriting, compliance monitoring.
Legal & Compliance
Contract review, e-discovery, regulatory tracking.
Retail & E-commerce
Personalization, search, conversational commerce.
Manufacturing & Industrial
Predictive maintenance, CV inspection, supply-chain optimization.
Telecom & Edge
Customer automation, low-latency on-device inference.
Cybersecurity
Threat detection, SOC automation.
Public Sector & Energy
Document automation, forecasting, citizen services.
Pricing & Engagements
Discovery & Assessment
Fixed-fee 1–2 week assessment with roadmap.
POC-to-Pilot
Fixed-scope 2–6 week POC, includes data prep, prototype model, and success criteria.
Production & Managed Services
Subscription for hosting, monitoring, retraining, and support (SLA options).
Professional Services
Time-and-materials or outcome-based pricing for custom work.
Measurable impact
Measurable business impact from this engagement.
Protected sensitive data
Compliance-ready security
Reduced breach risk
Frequently asked questions
Can AI models be trained without moving sensitive data?
Yes. Federated learning and secure multi-party computation allow training on distributed data without centralization.
How do you protect PII in LLM prompts and outputs?
We implement input/output filtering, tokenization, redaction pipelines, and access-controlled logging.
Do you perform AI-specific penetration testing?
We conduct adversarial testing including prompt injection, data extraction, and model inversion attacks.
Case Study
Problem
A regulated enterprise needed domain-accurate LLM responses without exposing sensitive data to public APIs.
Solution
LLM Customization & RAG, MLOps & ModelOps, Responsible AI & Governance
Outcome
40% reduction in human review time, 99.2% factual accuracy on domain tasks, and predictable inference costs within 90 days.
Ready to deploy with confidence?
Secure inference, encryption key management, differential privacy and federated learning designs for sensitive data.
More AI Services
Why Choose Us
- ✓ Industry focus + measurable outcomes: domain models with validated ROI metrics.
- ✓ POC-to-production playbook: repeatable 2–6 week POC that moves to production fast.
- ✓ SLA-backed production support: uptime, latency, and retraining SLAs.
- ✓ Compliance-first: HIPAA/GDPR/PCI-ready architectures and audited pipelines.