Secure AI Development
We build AI-powered applications with security embedded from architecture to deployment. Secure your LLM integration from adversarial attacks.
How We Secure AI
Comprehensive coverage across your AI applications from dataset generation to agentic pipelines.
AI Red Teaming
We conduct adversarial simulation to stress-test your models against real-world attacks. Our team attempts advanced prompt injections, jailbreaks, and extraction attacks to find weaknesses before you deploy.
Secure RAG Architecture
We design and review Retrieval-Augmented Generation systems to prevent unauthorized data access. We ensure your vector databases and retrieval logic implement strict access controls (RBAC) so users only retrieve documents they are authorized to see.
LLM Guardrails Implementation
We develop robust input/output filtering layers to sanitize interactions. Using frameworks like NeMo Guardrails or custom classifiers, we block malicious prompts before they reach your model and filter out toxic or unsafe responses.
Agentic AI Security
Autonomous agents with tool access pose high risks. We secure your agent execution environments by implementing strict permission boundaries, human-in-the-loop verification for critical actions, and sandboxing.
Model Supply Chain Review
We perform deep vulnerability scanning for your AI artifacts. This includes scanning model files for malicious code, analyzing dependencies for known vulnerabilities, and verifying the integrity of your training datasets.
Compliance & Governance
We help you align with emerging global AI standards. We prepare your systems for the EU AI Act, NIST AI Risk Management Framework (AI RMF), and ISO 42001, ensuring you meet regulatory requirements.
How We Test
Our approach to adversarial simulation and remediation for LLMs.
Threat Modeling
We analyze your specific AI use case to identify unique attack surfaces, from data ingestion to model output.
Architecture Review
We assess your RAG pipelines, vector stores, and API integrations for design flaws and access control issues.
Adversarial Testing
Our red team executes targeted campaigns using automated fuzzing and manual expertise to bypass your guardrails.
Remediation & Hardening
We provide code-level fixes, prompt engineering adjustments, and architectural changes to close security gaps.
Proven security outcomes
See how our AI security assessments have helped teams ship secure code faster.
Prompt Injection Attack Prevented
"ZecurX's red team bypassed our chatbot's safety filters using multi-step DAN attacks. They then helped us implement NeMo Guardrails that blocked 99.7% of adversarial inputs."
%
Attacks Blocked
Post-guardrails implementation
Jailbreaks Found
During red team exercise
RAG Data Isolation Enforced
"Our RAG pipeline was leaking documents across tenant boundaries. ZecurX redesigned our vector DB access layer with proper RBAC, preventing cross-tenant data exposure."
Data Leaks
Post-remediation
x
Faster Compliance
For enterprise onboarding
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