Deploy AI with Absolute Confidence, Not Vulnerability
Protect AI systems from prompt injection, data poisoning, and model attacks with production ready guardrails.
The Core Philosophy
Traditional Security Stops at the Code. AI Demands a New Rulebook
Traditional security can’t protect AI from prompt injection, data poisoning, and model attacks. Without AI specific testing, vulnerabilities can remain hidden until they’re exploited.
AI security isn’t just about blocking threats it’s about building resilient models that withstand adversarial attacks.
We stress test your LLMs, uncover exploitable weaknesses, and deploy production ready guardrails that stop attacks before they impact your business.
What We Build
End to End AI & LLM Security Vulnerability
Adversarial Red Teaming
Simulating prompt injection, jailbreaking, and model bypass attacks.
LLM Guardrail Engineering
Deploying AI guardrails to block malicious prompts and harmful outputs.
Data Leak Prevention
Configuring contextual filters in RAG pipelines to prevent sensitive data exposure.
Training Data Protection
Auditing and securing training pipelines and datasets against adversarial data poisoning.
Model Extraction Protection
Protecting model endpoints from extraction through brute force attacks.
AI Access Control & RBAC
Securing LLM access with identity based permissions and access controls.
Why It Matters
Your AI Systems Deserve Exploitation Specialists, Not Spectators
We don’t rely on generic compliance checklists; we write the code that tests the boundaries of generative AI. Our specialized AI security engineers closely track OWASP Top 10 vulnerabilities for LLMs and combine deep machine learning expertise with cutting edge penetration testing techniques.
You get AI guardrails, secure agent controls, and production ready defenses built for real world environments.
Our Engagement Model
How We Deliver AI/LLM Security
Frequently Asked Questions
Everything You Need to Know About AI/LLM Security & Red Teaming
What exactly is LLM Red Teaming?
It is the practice of ethically attacking an AI system using adversarial prompts, jailbreaks, and exploits to uncover safety gaps, logic flaws, or data leakage bugs before malicious actors do.
Is cloud provider security enough?
No. While base models have foundational safety training, they cannot protect against application level vulnerabilities, indirect prompt injections through your RAG pipelines, or flawed application code.
Will AI guardrails impact response time?
Our guardrail architectures are engineered for high throughput enterprise use, adding negligible millisecond overhead while providing critical real time protection.
How does AI security support compliance?
Securing AI pipelines directly protects data privacy and system integrity, ensuring that introducing generative AI features doesn’t break your existing compliance postures.
What is an "indirect prompt injection"?
This occurs when an LLM processes external, untrusted data (like an uploaded PDF or a scraped web page) that contains hidden instructions designed to hijack the model’s behavior without the user’s knowledge.
Explore more services
Zero-trust architecture
Replace implicit trust with Zero Trust security. Every user, device, and connection is continuously verified before access is granted.
SOC-as-a-Service
Building a SOC takes years. We deliver round the clock monitoring, rapid response, and expert led threat intelligence from day one.
Threat Detection & Response
Threats don’t wait. Our 24/7 monitoring and response capabilities help detect and neutralize threats before they impact your business.
DevSecOps Integration
Security built into every release. We embed automated controls and compliance checks directly into your CI/CD pipeline.
Compliance & Governance
Compliance that drives business value. We help you meet requirements while strengthening security and customer confidence.
Not Sure Where to Start?
Get a free Security & AI Readiness Audit and uncover quick wins.
Your First Move is Free
Get a Free AI & LLM Security Vulnerability Scan
Discover where your models are vulnerable to jailbreaks, data leakage, and prompt injections in just 14 days. Completely risk-free.