Secure every surface of your AI stack. Integrates without code. Works with any model. Deploys wherever your data has to stay.
Your stack wasn't built for this.
Your firewall sees traffic, not prompts. Your DLP was built for email attachments, not conversations with a language model. Your CASB can tell you an employee visited ChatGPT, but not that they pasted a customer database into it. Meanwhile, your own applications are calling models you don't control, retrieving from knowledge bases you don't inspect, and handing tasks to agents that can take real actions in real systems.
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
