AI Security (LLM, Agent & RAG)
Secure your AI systems against emerging threats. From LLM red teaming to agent security to RAG pipeline protection - we make your AI safe for production.
Services
AI Security Services
LLM Red Teaming
Adversarial testing of LLM applications - prompt injection, jailbreaking, data extraction, and output manipulation to identify vulnerabilities before attackers do.
RAG Security
Secure your retrieval-augmented generation pipelines - access control, data poisoning prevention, context window attacks, and information leakage protection.
Agent Security
Security assessment of AI agent systems - tool abuse, privilege escalation, autonomous action boundaries, and human-in-the-loop enforcement.
Data Privacy & PII Protection
Prevent PII leakage in AI systems - input/output filtering, data anonymization, differential privacy, and compliance with GDPR/CCPA.
Model Security Assessment
Evaluate model security - supply chain risks, model poisoning, backdoor detection, and secure model deployment practices.
AI Governance Framework
Develop AI governance policies - responsible AI guidelines, bias monitoring, transparency requirements, and regulatory compliance (EU AI Act, NIST AI RMF).
Threat Landscape
AI Threats We Defend Against
Prompt Injection
Direct and indirect prompt injection attacks that manipulate LLM behavior
Data Exfiltration
Extracting training data, PII, or sensitive context from AI systems
Agent Hijacking
Manipulating AI agents to perform unauthorized actions via tool abuse
RAG Poisoning
Injecting malicious content into knowledge bases to corrupt AI outputs
Model Supply Chain
Compromised models, poisoned fine-tuning data, and malicious adapters
Output Manipulation
Steering AI outputs for misinformation, bias amplification, or harmful content
Deliverables
What You'll Receive
Insights
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