Securing AI Applications & Infrastructure
Embrace generative AI with enterprise confidence. Rigetsec provides runtime defense for LLM applications, RAG pipelines, and autonomous agents against prompt injection and data exfiltration.
Critical Defenses for the AI-Powered Enterprise
As enterprises deploy agentic workflows and LLM copilots, traditional firewalls cannot inspect natural language prompts or semantic vector queries.
Prompt Injection & Jailbreak Defense
Real-time semantic filtering intercepts direct and indirect prompt manipulations before they manipulate model instructions or bypass system guardrails.
Sensitive Information Disclosure (RAG Leakage)
Enforce strict tenant and role-based ACLs at the vector database retrieval stage (Pinecone, Qdrant, Weaviate, pgvector) to prevent cross-tenant data leaks.
Insecure Output Handling & Function Calling
Sandbox all autonomous agent function calls. Prohibit model outputs from executing shell commands or database mutations without human authorization.
Model & Training Data Poisoning
Audit fine-tuning datasets and pre-training corpora for backdoor triggers, data tampering, and malicious weight injection.
Secure your AI stack before production release
Schedule an AI red team and threat modeling session with Rigetsec specialists to discover vulnerabilities in your prompt gateways, RAG retrieval layers, and agent tools.