cyberzero technologies
We believe you should be able to use the world's most powerful models without ever trusting them with your underlying security.
01
the vision
To provide the "Immunological Layer" for the Generative AI era. CyberZero ensures that as enterprises deploy Large Language Models (LLMs) and autonomous agents, their proprietary data remains private, their models remain uncorrupted, and their AI doesn't become a "confused deputy" for attackers.
(connect)
find out more → hello@cyberzero.tech
02
the problem
In 2026, traditional firewalls are blind to AI-specific threats. Companies are facing:
  • Prompt Injection 2.0
  • Model Poisoning
  • Excessive Agency
  • Insecure Output
(vulnerability check)
free consultation for you → sales@cyberzero.tech
03
the solution
Cyberzero AI-Guard Architecture
Cyberzero operates as a real-time middleware and testing suite situated between the user, the AI model, and the enterprise data.
(start using now)
contact sales for demo → sales@cyberzero.tech
Services That Support Your Growth At Every Stage
(CyberZero Red-Box)
A continuous, adversarial simulation engine that "attacks" your AI models daily.
(Continuous Vulnerability Discovery)
Traditional red teaming is a point-in-time exercise. Red-Box runs 24/7, catching new "jailbreak" techniques (like the DAN or Grandmother exploits) as soon as they emerge in the wild.
(Reduced "Safety Drift" Monitoring)
When you fine-tune a model or update its system prompt, its safety profile changes. Red-Box automatically benchmarks the new version against the old one to ensure security hasn't regressed.
(RAG Injection Simulation)
It specifically targets your Vector Databases. It attempts to "poison" the context window by injecting data that might trick the RAG (Retrieval-Augmented Generation) system into revealing unauthorized documents.
(Cost-Effective Compliance)
Automating the red-teaming process helps meet emerging regulatory requirements (like the EU AI Act or NIST AI RMF) without hiring expensive specialized consultants for every minor model update.
(Agentic Governance Ledger)
A dedicated monitoring tool for autonomous AI agents.
(Immutable Audit Trails)
It creates a cryptographically signed log of every "thought," "reasoning step," and "action" taken by an AI agent. If a breach occurs, you have a forensic record of exactly how the AI was manipulated.
(Granular Permission Scoping)
Instead of giving an agent broad API access, the Ledger enforces Least Privilege. It can dynamically restrict an agent’s permissions based on the sensitivity of the data it is currently processing.
(Human-in-the-Loop (HITL) Triggers)
You can set "High-Stakes Thresholds." For example, the Ledger can automatically freeze a process and request human approval if an AI agent attempts to move more than $1,000 or delete a production database record.
(Hallucination Containment)
By cross-referencing an agent's "planned action" against a set of hard-coded business rules, the Ledger prevents "hallucinated actions"—where an AI invents an API parameter or an unauthorized command that doesn't exist.
more soon ...