Enterprise Safety Layer

Ship AI Agents,
Sleep At Night.

The firewall for your LLM. Detect jailbreaks, block hallucinations, and audit every interaction in real-time with 20ms latency.

<20msLatency Overhead

<0.1%False Positives

SOC2Compliance

augment_shield.py

import augment

# 1. Wrap your completion call
response = augment.guard(
  model="gpt-4o",
  messages=[{"role": "user", "content": user_input}],
  checks=["hallucination", "jailbreak", "pii"]
)

if response.flagged:
  logger.warn(f"Blocked: {response.reason}")
  return "I cannot answer that."
else:
  return response.content

The Safety Stack

Don’t build your own guardrails. We provide the infrastructure to measure, monitor, and secure your LLM outputs.

🛡️

Runtime Defense

Real-time interception of prompt injections and jailbreaks before they hit your model. The only firewall built for semantic attacks.

🩺

Hallucination Monitor

Instant RAG grounding checks. If your agent cites a policy that doesn’t exist in your context window, we block it.

🧪

CI/CD Evals

Prevent regression. Run 500+ automated test cases on every pull request to ensure prompt changes don’t break safety.

Built for High-Stakes Agents

Fear of Embarrassment

Stop your agent from inventing pricing or hallucinating features in front of enterprise customers.

Fear of Liability

Prevent PII leaks and rogue actions. Audit logs for every single token generated.

Engineering Rigor

Move beyond ‘vibe checks’. Quantify reliability with a 0-100 score before you deploy.

Reliability Score98.4%

Jailbreak Attempts Blocked24

Hallucinations Caught12

PII Redacted156

Last 24h Window

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Ship AI Agents,Sleep At Night.