Automated Infrastructure & Environments
Infrastructure as Code (IaC) Implementation
Zero Trust Security Architecture
Policy-as-Code for Security Governance


ExelionTech’s AI & LLM Security services protect your artificial intelligence applications, large language models, and AI agents from prompt injection, data poisoning, model theft, and compliance violations. We implement OWASP LLM Top 10 defenses and EU AI Act readiness.
As organizations rapidly adopt AI and LLMs, new attack vectors emerge that traditional security cannot address. From prompt injection to training data poisoning, AI systems require specialized security expertise to protect sensitive data and ensure reliable outputs.




Industries We Serve
ExelionTech resolved critical issues with our AKS private cluster, including private DNS configuration and AVD accessibility. Their deep expertise in Azure Kubernetes and networking saved us weeks of troubleshooting and got our production workloads running smoothly.
ExelionTech managed our complete migration from DigitalOcean to Azure, handling everything from infrastructure planning to execution. They also implemented cost optimization strategies that significantly reduced our monthly cloud spend while improving performance.
ExelionTech implemented secure encrypted communication between our services using AWS KMS, conducted a thorough risk assessment, integrated SAST into our development pipeline, and set up Sentry for application performance monitoring. Our security posture transformed completely.
ExelionTech transformed our cloud infrastructure with a secure DevOps pipeline, reducing deployment time by 40%. Their expertise in automated CI/CD and cloud security has been a game-changer for us.
From Terraform to HashiCorp Vault, ExelionTech automated our entire cloud operations. Infrastructure provisioning that took days now completes in minutes with full audit trails.
ExelionTech optimized our database performance and middleware stack. Query execution times improved by 50%, and our platform now handles 3x the traffic without breaking a sweat.
The multi-cloud strategy ExelionTech designed for us gave us true vendor independence. We now run workloads across AWS and Azure with automated failover and consistent security policies.
ExelionTech rebuilt our entire CI/CD pipeline with security baked into every stage. Deployment frequency went from weekly to daily, and we haven't had a single security incident since. Their DevSecOps expertise is unmatched.
Migrating our legacy infrastructure to AWS seemed daunting, but ExelionTech made it seamless. Zero downtime during the transition and our cloud costs dropped by 35% within the first quarter.
ExelionTech provided end-to-end security solutions that strengthened our platform against cyber threats. Our risk exposure is now reduced by 70%
From Terraform to HashiCorp Vault, ExelionTech automated our entire cloud operations. Infrastructure provisioning that took days now completes in minutes with full audit trails.
From Terraform to HashiCorp Vault, ExelionTech automated our entire cloud operations. Infrastructure provisioning that took days now completes in minutes with full audit trails.
ExelionTech optimized our database performance and middleware stack. Query execution times improved by 50%, and our platform now handles 3x the traffic without breaking a sweat.
Deep knowledge of the OWASP LLM Top 10 and emerging AI threat landscape.
Battle-tested adversarial AI testing across multiple industries and AI platforms.
EU AI Act, NIST AI RMF, and industry-specific regulation expertise.
From prompt security to model governance — we cover the full AI security lifecycle.
The OWASP LLM Top 10 is a standardized list of the most critical security risks for Large Language Model applications, including prompt injection, insecure output handling, training data poisoning, model denial of service, and more. ExelionTech tests and defends against all 10 categories.
We implement multi-layered defenses including input validation, prompt hardening, output filtering, privilege separation between system and user prompts, and continuous monitoring for injection patterns. Our approach combines automated scanning with manual red team testing.
If you use any AI/ML models, chatbots, AI agents, or LLM-powered features in your products or internal tools, you need AI security. The attack surface grows with every AI integration, and a single vulnerability can expose sensitive data or compromise decision-making.
