Runtime guardrails for AI Agents that catch behavioral drift, prompt injections, tool misuse, and unsafe outputs, before they hit production.
• No credit card required.

HaliosAI enables rapid iteration with built-in guardrails, automated evaluations, and the reliability needed to take agents from prototype to production.
Intelligent protection that adapts to your AI agents' behavior patterns, ensuring safety without compromising performance.
Built for speed with intelligent caching and parallel processing. Your AI workflows stay smooth.
Orchestrate complex AI systems with confidence. Each agent gets tailored protection.
Simple SDK integration with your existing AI frameworks. Get started in minutes, not hours.
Comprehensive analytics and reporting to understand your AI agents' behavior and optimize performance.
Designed for security-conscious teams with flexible deployment options - including on-prem and private cloud. You control what’s logged, stored, or shared for evaluation.
Drop-in guardrails and continuous evaluations - no rewrites, no refactoring. Just add the decorator and stay confident in every response.
pip install haliosaifrom haliosai import guarded_chat_completion
from openai import AsyncOpenAI
@guarded_chat_completion(agent_id="your-agent-id")
async def call_llm(messages):
"""Decorator automatically handles guardrail evaluation"""
client = AsyncOpenAI()
return await client.chat.completions.create(
model="gpt-4o-mini",
messages=messages,
max_tokens=100
)Comprehensive guides, API references, and examples to get you started quickly.
Trusted by Leading AI-first Teams
Real feedback from AI teams who trust HaliosAI
“Finally, a guardrail solution that doesn't slow us down. Integration took 10 minutes, and we immediately caught edge cases we never thought of.”
Senior AI Engineer
AjniAI
“The visibility into our agent behavior is incredible. We can ship with confidence knowing every interaction is monitored and protected.”
Product Manager
Quontum Labs
“HaliosAI gives us the peace of mind we need when deploying customer-facing AI. The risk mitigation is exactly what we were looking for.”
CTO
VectoChat
From development to production - evaluate, secure, and monitor your AI agents at every stage.
Embed runtime guardrails and evaluation hooks into your development workflow with a single line of code.
Development
Simulate real-world scenarios and integrate evaluations into CI/CD to catch regressions and risky behavior before deployment.
CI/CD
Continuously evaluate outputs, detect anomalies, and respond instantly to prompt injections or behavioral drift in production.
Production
Ensure your AI systems remain consistent, compliant, and secure - across every interaction and deployment stage.
Detect and neutralize prompt injection attempts that could alter instructions, exfiltrate data, or manipulate agent behavior.
Automatically identify and redact PII, credentials, or confidential data in requests and responses - before they leave your boundary.
Filter user inputs and agent responses for harmful, inappropriate, or policy-violating content—protecting users and your brand reputation.
Track and control tool invocation to stop unauthorized actions, data exfiltration, or unsafe command execution.
Identify when AI agents stray from their intended purpose, produce unreliable outputs, or respond off-topic to user queries.
Measure reliability and performance in real time with ongoing evaluation of agent behavior, safety triggers, and response quality.
Enable secure, compliant, and reliable AI operations - tailored to your organization’s needs.
Run HaliosAI on-prem, in your private cloud, or in hybrid environments to meet your security and data requirements.
Define organization-specific policies, connect with SOAR tools, and integrate with compliance platforms to enforce safe and consistent AI behavior.
Monitor and evaluate agent behavior continuously, with options for logging, reporting, and proactive insights - so you can stay in control at scale.

Start free and scale as you grow. No hidden fees, no surprises.
Explore all features and evaluate worry - free for 30 days.
For developers and teams running agents in production.
For organizations needing tailored deployments and integrations.
1 credit = evaluation of ~2,000 tokens per guardrail.
Example: a request with 4 guardrails and a response with 3 guardrails consumes 7 credits if both are under 2,000 tokens.
We know the real challenges of deploying, monitoring, and continuously evaluating AI systems. HaliosAI is designed to help teams build, test, and operate AI agents with confidence—ensuring consistent performance and predictable behavior in production.
Founded in San Francisco, our team combines hands-on experience building conversational AI, customer support agents, and other production-grade systems. We bring practical engineering and research-informed techniques together to make AI reliability and evaluation simple to integrate.
Email us at hello@halios.ai