AI Security & Private AI Solutions
Build and deploy AI within secure, controlled environments while protecting sensitive data, restricting access, and supporting enterprise governance and compliance requirements.
Secure Your AI SystemsOur AI Security & Private AI Service Offerings
As an AI security solutions company, Codiant helps enterprises protect sensitive data, secure AI models, control system access, and deploy private AI across governed environments.
AI Security Assessment
Evaluate AI applications, models, APIs, data flows, and integrations to identify vulnerabilities and strengthen the overall security posture.
AI Governance Solutions
Establish policies, approval workflows, ownership controls, and accountability measures for the responsible use of AI across the organization.
On-Premises AI Deployment
Deploy AI systems within enterprise-managed infrastructure to maintain greater control over data storage, processing, access, and model operations.
Private Cloud AI Solutions
Build isolated AI environments on private cloud infrastructure with configurable access, encryption, monitoring, and deployment controls.
AI Access Management
Apply role-based permissions, identity controls, authentication, and authorization policies to manage how users interact with AI systems.
LLM Security and Guardrails
Introduce safeguards for prompt injection, unauthorized data exposure, unsafe responses, misuse, and other risks affecting LLM applications.
Secure AI Integration
Connect AI with enterprise applications, databases, APIs, and workflows through protected interfaces and clearly defined access boundaries.
AI Compliance Readiness
Align AI processes, documentation, controls, and monitoring practices with applicable organizational policies and regulatory requirements.
AI Threat Monitoring
Continuously observe model activity, access patterns, system behavior, and security events to detect risks and support timely investigation.
AI Models We Secure and Deploy Privately
We work across enterprise LLMs, open-weight models, embedding models, multimodal systems, and custom machine learning models. Each solution is selected according to data sensitivity, infrastructure, performance, governance, and deployment requirements.
Private Large Language Models
Deploy private large language models within controlled environments for enterprise search, document analysis, knowledge assistance, and workflow automation while maintaining defined control over sensitive data, access, hosting, and usage policies.
Secure Multimodal AI Models
Securely process text, images, audio, video, and documents through multimodal AI models deployed in governed environments with protected data handling, role-based access, output controls, and traceable activity across operations.
Private Embedding and Retrieval Models
Create private embedding and retrieval models for secure enterprise search, enabling permission-aware access to approved knowledge sources while protecting document ingestion, vector storage, query processing, and retrieved sensitive organizational information.
Our Private AI Implementation Process
Our implementation process brings security, privacy, and governance into every stage of AI development. We assess risks early, define clear controls, and continuously evaluate the solution after deployment.
We assess the intended use case, data sensitivity, existing infrastructure, access requirements, regulatory considerations, and potential AI risks.
Our specialists define model hosting, data boundaries, encryption, identity controls, integrations, retrieval mechanisms, and monitoring architecture.
We select an appropriate model and configure privacy controls, system instructions, permissions, filters, and security guardrails.
The AI solution is developed and connected with approved enterprise systems through protected APIs, controlled data flows, and authenticated access.
We test the system for unauthorized access, data exposure, prompt-based attacks, unsafe outputs, control failures, and operational weaknesses.
The solution is released into the approved environment with activity logging, performance tracking, security monitoring, and ongoing control improvements.
Why Choose Codiant for AI Security & Private AI?
Codiant combines AI engineering, cybersecurity principles, private infrastructure planning, and enterprise governance to build AI systems with stronger control over sensitive data, model access, and deployment.
Security-by-Design Engineering
We embed security controls throughout the AI lifecycle, covering data ingestion, model access, integrations, outputs, deployment environments, and ongoing system monitoring.
Privacy-Aligned Architecture
Every architecture is designed around data sensitivity, residency needs, user permissions, processing boundaries, retention policies, and organizational privacy requirements.
Flexible Private Deployment
Deploy AI across on-premises infrastructure, private cloud, virtual private cloud, or hybrid environments based on your security and operational requirements.
Governance and Continuous Oversight
We implement approval workflows, activity logs, access controls, model monitoring, and human review mechanisms to support accountable and traceable AI operations.
AI Solutions Built for Real Business Challenges
Explore real-world AI projects showing how Codiant applies intelligent technologies to solve business challenges, automate workflows, improve decisions, and deliver measurable value.
Hiregroww: An AI-Powered Skill-Based Hiring Platform
HireGroww is an intelligent recruitment and pre-employment assessment platform that helps companies streamline hiring through AI-powered screening, testing, and candidate evaluation. The platform simplifies talent acquisition with automated assessments, resume parsing, skill analytics, and bias-reduction workflows.
- Screen resumes, conduct AI-driven assessments, and shortlist qualified candidates faster with intelligent evaluation workflows.
- Track hiring pipelines, monitor candidate performance, and improve recruitment decisions with real-time analytics and automation.
Raizfunds: AI-Powered Investment & Wealth Platform
Raizfunds is a smart fundraising platform that helps startups connect with investors, accelerators, and venture networks through AI-powered matchmaking, startup scoring, and centralized fundraising workflows. The platform streamlines startup discovery, investor engagement, and due diligence with intelligent automation and data-driven insights.
- Build investor-ready startup profiles, upload pitch decks and data rooms, and connect with aligned investors through AI-powered matching.
- Track fundraising progress, manage investor conversations, monitor engagement analytics, and improve readiness with the proprietary Raiz Score system.
CalCounts – An AI-Powered Calorie Tracking App
CalCounts is a smart nutrition and fitness app that helps users achieve health goals by tracking meals, macros, and calories using AI. The app simplifies healthy eating with barcode scanning, food photo analysis, and goal-based meal planning.
- Scan food, barcodes or upload meal photos to get instant calorie and macro breakdowns.
- Track progress, plan meals, and stay on top of your fitness goals with AI-powered insights.
Airmove- An On-Demand Logistics Delivery Application
An on-demand logistics delivery application that makes the delivery of items easier, faster, and safer for customers. The app helps customers move their stuff from one place to another by availing the trucker’s services.
- The driver can view and calculate fuel charges, the weight of goods, toll charges, and other things included in the distance covered.
- Customers can also track and manage their deliveries and make payments online- all just in a few taps!
RenoAI – AI-Powered Interior Design Visualization Platform
RenoAI is an intelligent interior design platform that helps designers and homeowners generate visual design concepts using AI-powered rendering and style transformation tools. The platform simplifies space visualization with instant design generation, room customization, and furniture styling recommendations.
- Upload room photos, explore design variations, and generate realistic interior concepts instantly with AI-powered visualization technology.
- Create mood boards, test multiple design styles, and accelerate client presentations with smart design automation workflows.
Core Capabilities of Our Secure & Private AI Solutions
A unified security layer protects enterprise data, AI models, user interactions, system integrations, and deployment environments throughout the AI lifecycle.
Protect sensitive information during storage and transmission while separating AI workloads, knowledge sources, and processing environments from unauthorized systems and users.
Control AI access through authentication, role-based permissions, least-privilege policies, and user-specific authorization across models, data sources, and connected applications.
Host AI models within enterprise-controlled, on-premises, private-cloud, or isolated environments based on security, privacy, and data-residency requirements.
Ensure AI systems retrieve and present information only from sources each authenticated user is authorized to access.
Apply configurable safeguards to inspect prompts, restrict prohibited actions, filter sensitive information, and manage unsafe or unauthorized model responses.
Secure connections between AI models, enterprise applications, databases, and external services using authenticated interfaces, defined permissions, and monitored data flows.
Detect and limit malicious or manipulative instructions designed to override system rules, expose protected information, or trigger unauthorized actions.
Route sensitive, high-impact, or low-confidence AI outputs to designated reviewers before the system completes an action or communicates a decision.
Maintain records of user requests, model responses, retrieved sources, system actions, access events, and approvals to support internal reviews and investigations.
Monitor AI activity, access patterns, model behavior, control performance, and security events to identify anomalies and support timely response.
Is Your Sensitive Data Ready for AI?
Build secure AI systems without giving up control over your data, models, infrastructure, or user access.
Talk to Our AI Security Experts
Secure & Private AI Solutions for Every Industry
Codiant develops privacy-focused AI solutions that address industry-specific data sensitivity, security controls, deployment requirements, and governance priorities.
Government & Public Sector
Deploy AI within controlled infrastructure for document processing, citizen services, internal search, and administrative support involving sensitive public-sector information.
Legal Services
Review contracts, summarize case materials, retrieve precedents, and organize legal knowledge through private AI with permission-aware access to confidential documents.
Insurance
Support claims review, policy search, underwriting assistance, and customer service through governed AI systems connected to approved data sources.
Manufacturing
Use private AI for technical knowledge retrieval, quality documentation, maintenance support, process analysis, and workforce assistance across protected operational environments.
Pharmaceutical & Life Sciences
Apply controlled AI to research knowledge, regulatory documentation, scientific content, and internal workflows while protecting confidential and proprietary information.
Our AI Security & Private AI Tech Stack
We combine private AI frameworks, secure infrastructure, identity controls, protected data layers, and continuous monitoring technologies to build governed AI environments aligned with enterprise requirements.
Private AI & Model Frameworks
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PyTorch -
TensorFlow -
Llama -
Mistral -
Gemma -
Hugging Face Transformers -
ONNX
Cloud & Private Infrastructure
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AWS -
Microsoft Azure -
Google Cloud -
Kubernetes -
Docker -
Red Hat OpenShift -
VMware
Identity, Secrets & Access Control
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OAuth 2.0 -
Microsoft Entra ID -
Keycloak -
HashiCorp Vault -
AWS IAM -
Azure Key Vault -
OpenID Connect
Secure Data & Retrieval
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PostgreSQL -
MongoDB -
ElasticSearch -
Pinecone -
Weaviate -
Milvus -
pgvector
AI Security & Guardrails
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nVIDIA -
Guardrails AI -
OWASP Guidance -
Presidio -
Open Policy Agent
Monitoring & Observability
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Prometheus -
Grafana -
Datadog -
OpenTelemetry -
MLflow -
Elastic Stack -
Splunk
Let’s Hear What Our Clients Say
Rewarded with 2500+ Customer Stories. See some of the amazing stories that distinguish us from the rest.
Codiant delivered precisely what we needed, a top-notch website, with seamless film recollection. Their expertise exceeded our expectations, and we couldn't be more satisfied with the final result. Thank you, Codiant, for an outstanding collaboration!
Gezabel Perroti
Co-Founder, DISTRI7
Codiant has been our go-to partner for a while now. They've successfully handled several major projects. Among them, Autism Connect stands out as their greatest achievement. Their dedication and expertise are phenomenal. Highly recommended!
Catherine Kleins
Co-Founder, AUTISM WEST MIDLANDS
Codiant successfully delivered my complex software project (web, iOS, Android) despite language barriers and a wide scope. Exceeding expectations, they proved to be a top offshore tech company—I’ll continue working with them. Highly recommended!
Basim Albeladi
CEO, Labayh
The client's site visitors increased and the bounce rate improved by 6.5%, with a higher conversion rate of 15%. Codiant was proactive and communicative during the collaboration. Overall, the client was happy with the results, which met their expectations.
Dr. Mathew Jafarzadeh
Founder, Cosmetic Choice
Codiant was a great partner in developing our Clinical Trial Guide website. Their expertise in the healthcare industry, structured project management, and proactive communication made the process smooth. They delivered high-quality work, met milestones effectively, and provided valuable insights throughout.
David Polinsky
CEO, Clinical Trial Company
Codiant streamlined our courier operations with a custom web system that improved efficiency and conversions. Their project management, attention to detail, and commitment to quality truly exceeded expectations.
Martin Young
Director, Same Day Dispatch Services Ltd
What’s New in AI?
Stay updated with the latest breakthroughs, innovations, and real-world AI applications transforming industries worldwide.
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Frequently Asked Questions
Private AI solutions are AI systems designed to operate within controlled infrastructure, such as on-premises servers, private clouds, or isolated cloud environments. They give organizations greater control over sensitive data, model access, processing, integrations, storage, and deployment while supporting internal security, privacy, and governance requirements.
Private AI protects enterprise data through controlled hosting, encryption, identity verification, role-based access, isolated processing, permission-aware retrieval, and activity monitoring. The specific controls depend on the organization’s infrastructure, data sensitivity, use case, security policies, and applicable regulatory obligations.
Private AI runs within an environment governed by the organization or an approved provider, offering greater control over data, models, access, and system configuration. Public AI services generally operate on shared external infrastructure and may provide fewer deployment and customization options, depending on the provider and service agreement.
Yes. Private AI can be deployed on-premises, in a private cloud, within a virtual private cloud, or through a hybrid architecture. The right deployment model depends on data-residency requirements, infrastructure capacity, security policies, integration needs, expected usage, performance requirements, and operational resources.
Codiant provides private AI consulting, secure RAG development, private LLM deployment, AI security assessments, model guardrails, access management, governance controls, protected integrations, security testing, and continuous monitoring. Each solution is configured around the organization’s use case, data sensitivity, infrastructure, and security requirements.
