Prompt injection requires no technical exploit — just a carefully crafted input. It can instruct your AI to ignore safety rules, leak confidential documents, bypass access controls, or execute unauthorized operations through what looks like a normal user message. In agentic AI systems with tool access, the consequences can be severe. OWASP ranks it #1 in their LLM Top 10 precisely because it’s both common and high-impact.

It depends on your sector and geography. GDPR applies when AI processes EU personal data. HIPAA governs healthcare AI. SOC 2 requirements extend to AI handling customer data. The EU AI Act creates risk-based obligations for all AI deployed in the EU, with full enforcement by 2027. NIST AI RMF is widely adopted as a voluntary standard. ISO 42001 provides AI-specific management system guidance. We map your systems against every applicable framework as part of every engagement.

Yes — the majority of our engagements involve securing existing production AI deployments, not greenfield builds. We assess the current risk baseline, then implement security controls progressively to minimize disruption. You don’t need to rebuild your AI infrastructure to make it secure.

Yes. We specialize in securing private LLM environments — on-premise infrastructure, air-gapped systems, and private cloud deployments using open-source models. This is critical for organizations with data sovereignty requirements, regulated data that cannot leave their environment, or security policies that prohibit use of public AI APIs.