Trustworthy & Secure
Agentic Workflows
Rampart Armor™
Rampart Armor secures environments where autonomous and semi-autonomous AI agents operate, going beyond traditional code protection. Recognize and control AI-specific risks such as hallucinations, prompt injections, unintended actions, and privilege misuse by synthetic actors.

Differentiation:
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Unlike LLM-specific firewalls or token scanners, Rampart doesn’t solely rely on parsing prompt data, it secures *consequence*, not *content*.
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Works with all major AI frameworks, model types, and orchestration layers.
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Operates at production scale without injecting latency or modifying AI codebase.

Prompt Injection and Privilege Abuse:
Detects execution resulting from malicious prompt chaining or social-engineered instructions.

Misaligned Action:
When LLMs take actions inconsistent with developer intent, Rampart Armor flags and halts the behavior.

Out-of-Scope Autonomy:
Provides real-time enforcement boundaries, ensuring agents cannot overstep their functional domain.
Ideal Solution Application:
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AI copilots making real-time system calls
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Decision engines for finance, healthcare, defense
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LLMs integrated into sensitive backend workflows
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Synthetic agents with elevated privileges (e.g., DevOps automation, document summarization with export rights)
Outcomes:
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Live threat containment for AI-generated risk
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Regulatory confidence via runtime attestation & logs
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Innovation enablement without fear of hallucinated damage
How It Works
AI-generated actions, whether initiated by LLMs or synthetic agents, are monitored at runtime by Rampart's Application Sensor.
Every control flow is tracked and scored in real time. If an action exceeds defined bounds (unauthorized system call, privilege misuse, etc.), the Core Platform flags or halts execution instantly.
Supporting layers:
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Network Sensor: Detects unusual outbound requests or data exfiltration attempts.
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Cloud/Container Sensor: Flags unapproved container creation or drift in AI-controlled environments.
Rampart Armor Results
Rampart Armor becomes the runtime governor for AI, ensuring synthetic actors behave as intended and stay within their sandbox, even when hallucinating.
Use Cases

Securing the Unpredictable:
Guardrails for AI in Production

Runtime Defense for Synthetic Agents:
New Paradigm in Identity and Access

From Hallucination to Harm:
How to Detect & Stop Unsafe AI Output


Who Watches the AI?
Real-Time Monitoring for Autonomous Decision Systems
Controlling LLMs & AI Agents in Sensitive Workflows Without Smothering Innovation
Rampart Armor Components
AI Sensor — Primary
Application Sensor — Primary
Core Platform — Required
Network Sensor — Supporting
Cloud/Container Sensor — Contextual