AI & LLM Security
Why AI & LLM Security?
- Identify AI model security weaknesses
- Detect prompt injection vulnerabilities
- Evaluate sensitive data exposure risks
- Assess LLM misuse and abuse scenarios
- Review AI application security posture
- Strengthen secure AI deployment practices
Our Process
Our AI & LLM Security Assessment helps organizations identify security risks in AI-powered applications, Large Language Models (LLMs), AI agents, chatbots, and GenAI platforms.
CyberNexora performs expert security assessments to evaluate prompt injection, data leakage, insecure integrations, authorization weaknesses, model abuse, jailbreak techniques, plugin security, API vulnerabilities, and AI-specific attack surfaces.
AI Architecture Review
Understand your AI ecosystem, model integrations, APIs, plugins, and deployment architecture.
Threat Modeling
Identify AI-specific attack vectors including prompt injection, jailbreaks, indirect prompt attacks, and model abuse.
Security Assessment
Perform comprehensive testing of AI applications, LLM APIs, AI agents, RAG pipelines, plugins, and third-party integrations.
Vulnerability Validation
Validate discovered weaknesses and confirm real-world exploitability with safe proof-of-concept testing.
Risk Analysis
Evaluate business impact, data exposure, compliance risks, and AI governance concerns.
Security Recommendations
Provide practical remediation guidance aligned with OWASP Top 10 for LLM Applications, NIST AI RMF, and industry best practices.
What We Test
Prompt & Model Security
- Prompt Injection
- Jailbreak Testing
- System Prompt Exposure
- Output Manipulation
Data Protection
- Sensitive Data Leakage
- PII Exposure
- Confidential Data Exposure
- Memory Leakage
AI API & Integration Security
- AI API Security
- Plugin Security
- Third-Party Integrations
- Authentication & Authorization
AI Agent & RAG Security
- Tool Abuse
- Retrieval Manipulation
- Vector Database Security
- Agent Workflow Security
What You'll Receive.
Every AI & LLM Security Assessment includes comprehensive security findings, technical validation, AI-specific risk analysis, and actionable recommendations to help organizations secure AI applications, LLMs, and intelligent automation systems.
Strong AI Security Practices Help Organizations:
- AI & LLM Security Assessment Report
- Prompt Injection & Jailbreak Analysis
- Data Leakage & Privacy Risk Assessment
- AI API & Integration Security Review
- RAG & AI Agent Security Findings
- Prioritized Remediation Recommendations
Strengthen AI Security & Build Trust.
Protect AI applications, LLMs, AI agents, and GenAI platforms from emerging threats through comprehensive security assessments and expert remediation guidance.
What AI systems do you assess?
We assess AI applications, LLMs, AI agents, chatbots, RAG platforms, and custom AI deployments.
Do you perform prompt injection testing?
Yes. We test for prompt injection, jailbreaks, data leakage, and other AI-specific attack vectors.
Will we receive remediation recommendations?
Yes. Every assessment includes prioritized findings and actionable remediation guidance.
Which AI security standards do you follow?
Our methodology aligns with OWASP Top 10 for LLM Applications, NIST AI RMF, and industry best practices.