HomeAI Security & LLM Risk Assessment
AI SAFETY
As you integrate AI, you introduce new risks. We test your LLM apps for prompt injection, data leakage, and jailbreaks to ensure your AI assists users—not attackers.
PRACTICAL PROTECTION
Red Teaming for Generative AI
Attacks Tested
Comprehensive testing against OWASP Top 10 for LLMs
Leaks
Preventing the model from revealing PII or proprietary data
Guardrails
Input/Output filtering to block malicious prompts and toxic responses
API Security
Securing the keys and infrastructure that power your AI models
NEW FRONTIER
AI Threat Modeling & Assessment
AI Red Teaming
Adversarial testing to trick your model into harmful behaviors (Jailbreaking) or bypassing safety filters
Prompt Injection Defense
Testing for direct and indirect prompt injection attacks that could hijack the model's instructions
RAG & Knowledge Base Security
Ensuring Tenant Isolation and Access Control so users can't query documents they shouldn't see (Poisoning/Leakage)
Model & API Security
Securing the "Glue" code: protecting OpenAI/Anthropic API keys, enforcing rate limits, and preventing abuse
AI Output Safety
Validating guardrails to prevent hate speech, hallucination of facts, or revealing internal system prompts
Logging & Monitoring
Setting up visibility to detect if users are trying to attack or misuse your AI features in real-time
OUR PROCESS
See How We Work
FAQ
Frequently Asked Questions
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