BeyondGuard secures the AI stack where risk actually appears: prompts, files, RAG pipelines, agents, MCP tools, and model outputs. It works with any model and deploys where your data has to stay.
Your security stack was not built for AI behavior.
Traditional controls can see traffic, files, and application access. They cannot reliably interpret prompts, retrieved context, agent plans, tool calls, or model outputs. That is where enterprise AI risk now appears. BeyondGuard adds the missing security layer for the AI era: independent from the models, connected across the AI value chain, and designed to move teams from visibility to protection.
None of this is a policy failure. It's a coverage gap. The tools that protected the last generation of software weren't built for software that reasons, retrieves, and acts. AI security needs a new layer that understands intent, not just traffic.
01
Structural Independence
Decisions are separate from the models they protect.
02
Value Chain Coverage
Every node of the AI value chain has its own Guard.
03
Maturity progression
Protection is a journey, not a binary state.
Sinan Ozer
COO, Odeabank
Beyond Guard is the security-first foundation under our AI strategy: enforcement we can configure, decisions we can prove, and a deployment model that keeps our data where it has to stay. Because of it, we're not just moving faster - we're expanding Al into parts of the business we wouldn't have approved a year ago, with the confidence that the controls underneath are doing their job.
Prompt Injection · OWASP LLM01
Jailbreak
PII & Data Leakage · OWASP LLM02
Shadow AI
Agentic AI Risk
MCP & Tool Threats
RAG Poisoning
System Prompt Leakage · OWASP LLM07
Toxic & Harmful Output
Model Supply Chain Attacks
