AI without guardrails is like a hypercar without brakes. We engineer deterministic security perimeters, preventing prompt injections, sensitive data leakage, hallucinated falsehoods, and runaway autonomous agents.
*Metrics reflect controlled synthetic test benchmarks. See full .
The 5 Imperative Guardrails for AI
Modern Large Language Models (LLMs) and Autonomous Agents are probabilistic. Without perimeter constraints, systems fail into catastrophic liability.
Blocks direct adversarial jailbreaks and indirect prompt injections buried in third-party websites, PDF inputs, and emails that hijack model instructions.
Real-time regex, named-entity recognition (NER), and contextual masking that scrubs Social Security numbers, credit cards, health records, and API tokens.
Evaluates outputs against verifiable source documents and trusted knowledge bases using factual consistency scores before showing responses to users.
Enforces strict boundaries against hate speech, dangerous weapon manufacturing instructions, self-harm prompts, and malicious exploitation schemas.
Restricts tool-calling models from unauthorized database mutations, excessive API spending, wire transfers, and unsupervised administrative actions.
Provides cryptographically sealed records of every prompt, context retrieval, decision branch, and output for compliance proof and incident response.
Choose a sample malicious or privacy-violating attack vector below, or type your own custom input. Observe how our multi-tiered filters intercept, sanitize, and neutralize risks.
Continuously updated from trusted AI safety journals, arXiv papers, and tech authorities.
Our guardrail architecture automatically aligns enterprise machine learning pipelines with mandatory international treaties, NIST benchmarks, and cybersecurity mandates.
Architected to support the National Institute of Standards functions: Govern, Map, Measure, and Manage.
Technical readiness mechanisms tailored for General Purpose AI & High-Risk model containment.
Pre-configured defensive policies targeting Prompt Injection (LLM01), Sensitive Info Disclosure (LLM02), and Insecure Output Handling (LLM08).
Continuous audit telemetry designed to streamline Artificial Intelligence Management Systems (AIMS) vendor reviews.
Select the defenses your organization currently has deployed to calculate your AI Vulnerability Exposure Score.