AI Services
The Industry Challenge
The adoption of Large Language Models (LLMs) and autonomous AI Agents is transforming enterprises, but it is simultaneously creating an entirely new attack surface. Traditional security tools, like legacy Web Application Firewalls (WAFs), are built to block malware or SQL injections, making them completely blind to “semantic attacks.”
- Prompt Injection & Jailbreaking: Attackers use natural language to bypass logical constraints.
- Data Poisoning: Malicious manipulation of training data or RAG architectures.
- Autonomous Agent Abuse: Compromised agents exfiltrating sensitive databases or executing unauthorized actions via MCP.
The Regulatory Landscape
EU AI Act and Transparency By-Design
With the enforcement of the EU AI Act and similar global frameworks, companies are legally obligated to prove that their AI models are secure, transparent, and resilient against manipulation. Regulators require continuous stress testing, proven containment mechanisms, and forensic-grade reporting.
The Beelzebub Solution
Beelzebub protects your AI ecosystem by validating the machine’s intent. We invisibly embed high-interaction sensors and simulated APIs directly into your AI Agents’ workflows. When a model is successfully deceived by an attacker and attempts to execute a malicious action, it is routed to our deceptive infrastructure instead of your real databases.
Intercept prompt injections and prevent data leaks instantly.
Autonomous Red Teaming stress-tests your models 24/7.
Simulated API gates secure autonomous agents and MCP workflows.
Core Use Cases
The Scenario
Employees or external attackers manipulate prompts to force the enterprise LLM to bypass security guardrails, aiming to access sensitive data (such as HR records, customer databases, or financial information).
Beelzebub Action
Beelzebub invisibly injects simulated APIs and decoy data into the AI agent’s toolset. If manipulated, the agent will interact with these decoys instead of the real databases.
Business Value
Malicious intent is captured with zero false positives. The compromised session is instantly blocked in milliseconds, preventing any data exfiltration before it occurs.