AI Chatbot Hallucinations: Understanding and Mitigating Risks
Imagine asking a chatbot for help, only to find that its answer is inaccurate, even fabricated. This isn’t just a...
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Reliable AI Agents
The most robust guardrails for your AI Agents.
Protecting your AI agents from bad inputs,
and your users from bad responses.
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Extensive Guardrails
for Reliable agents
AI facing real users can lead to surprising behaviors, occasionally causing embarrassing mistakes. Aporia's extensive guardrails platform ensures proper handling of every edge case, delivering reliable performance for the end user.
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Mitigate any AI Risk:
Hallucinations
Incorrect facts
Irresponsible Commitments
Financial advice
Sensitive Information Leakage
Profanity & Toxicity
And more..
Comprehensive protection for your AI Agent
Protect your AI agents from the latest attack vectors, including prompt leakage, jailbreaks, and emerging threats. Aporia's detection engine, powered by Aporia Labs, is based on proprietary and ongoing cybersecurity and AI research.
AI Security
Block the most common attacks:
Prompt Injection Prevention
SQL Security Enforcement
Prompt leakage prevention
Data Leakage Prevention
Building AI Agents
that we can rely on.
Improve user trust by mitigating incorrect facts, nonsensical responses, enforcing behavioural policies and semantically incorrect LLM-generated SQL queries.
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Block in minutes:
AI hallucinations
Company Policy
Off -Topic discussions
Profanity & Toxicity
And more…
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With Aporia's Policy Builder
Easily enforce custom company guidelines or specific use-case needs with Aporia's Custom Policy Builder. Draft your policy in free text, test it, and apply it to your AI application in minutes.
Read our docs:
Aporia in numbers
0 Milliseconds
Average latency
0%
Of issues are detected and mitigated before impacting your users.
0M+
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Add Aporia with a single API call.
With Aporia’s detection engine you’ll always have the latest safeguards against security and reliability vulnerabilities. This means you can focus on making great AI agents, without the hassle of building new policies every week.
Docsself._client = openai.OpenAI(
api_key = "openai-api-key"
base_url="aporia-guardrails-endpoint"
)import requests
response = requests.post(
f"{GUARDRAILS_ENDPOINT}/validate",
json={
"messages": [
{"role": "system", "content": "You are a helpful assistant."},
{"role": "user", "content": "hello world!"},
],
"response": "Hi! How can I help you?",
},
)
# response = {"action": "block", "revised_response": "Blocked due to off-topic response"}response = await fetch(`${GUARDRAILS_ENDPOINT}/validate`, {
method: "POST",
headers: {
"Content-Type": "application/json",
},
body: JSON.stringify({
messages: [
{ role: "system", content: "You are a helpful assistant." },
{ role: "user", content: "hello world!" },
],
response: "Hi! How can I help you?",
}),
});
response = await response.json();
// response = {"action": "block", "revised_response": "Blocked due to off-topic response"}
Integrates in minutes
Either call our REST API or just change your your base URL to an OpenAI-compatible proxy.
Works with any LLM
Whether you are using GPT-X, Claude, Bard, LLaMA or your own LLM, Aporia is designed to fit seamlessly into your current setup.
Specialized LLM
use-case support
• RAG chatbot
• Text-to-SQL
• Structured data extraction
• Data enrichment
• Summarization
Battle-tested for
the Enterprise
New apps gain automatic guardrails and policy customization via the centralized AI gateway.
Deliver Secure & Reliable AI Agents
“In a space that is developing fast and offerings multiple competing solutions, Aporia’s platform is full of great features and they consistently adopt sensible, intuitive approaches to managing the variety of models, datasets and deployment workflows that characterize most ML projects. They actively seek feedback and are quick to implement solutions to address pain points and meet needs as they arise.”
“As a company with AI at its core, we take our models in production seriously. Aporia allows us to gain full visibility into our models' performance and take full control of it."
“ML models are sensitive when it comes to application production data. This unique quality of AI necessitates a dedicated monitoring system to ensure their reliability. I anticipate that similar to application production workloads, monitoring ML models will – and should – become an industry standard.”
“With Aporia's customizable ML monitoring, data science teams can easily build ML monitoring that fits their unique models and use cases. This is key to ensuring models are benefiting their organizations as intended. This truly is the next generation of MLOps observability.”
“ML predictions are becoming more and more critical in the business flow. While training and benchmarking are fairly standardized, real-time production monitoring is still a visibility black hole. Monitoring ML models is as essential as monitoring your server’s response time. Aporia tackles this challenge head on.”
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In the fast-evolving world of AI, and the latest launch of GPT-4o, businesses are becoming more and more likely to...
