Aporia

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Introduction:
AI Control Platform for Real-time Guardrails & Security
Added on:
Mar 17 2024
Monthly Visitors:
81.5K
Social & Email:
Aporia Product Information

What is Aporia?

The AI Control Platform | Real-time Guardrails & Security

How to use Aporia?

Use Aporia to mitigate AI risks and ensure the reliability of AI apps.

Aporia's Core Features

Real-time Guardrails

Security Platform

AI Integrity Hallucinations Mitigation

Prompt Injection Prevention

Off-topic detection

Data Leakage Prevention

SQL security enforcement

Profanity prevention

Session Explorer

Cost Tracking

Dashboards

Monitoring

Direct Data Connectors

Root Cause Analysis

Explainability

Customization

Integrations

Tabular model support

Aporia's Use Cases

#1

Mitigate AI Risks

#2

Ensure reliable and secure AI responses

#3

Protect intellectual property

#4

Detect and avoid off-topic conversations

#5

Keep interactions tasteful

#6

Prevent data leakage

#7

Secure SQL queries

#8

Explore LLM interactions

#9

Track costs and budget control

#10

Monitor key metrics

#11

Detect model drifts

#12

Gain actionable insights

#13

Monitor, troubleshoot, and enhance efficiency

#14

Understand and communicate predictions

#15

Tailor Aporia Observe for your models

FAQ from Aporia

What is Aporia?

How does Aporia work?

What are some key features of Aporia?

What are the use cases of Aporia?

How can I integrate Aporia with my AI models?

Does Aporia support different types of AI models?

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Analytic of Aporia

Aporia Website Traffic Analysis

Visit Over Time

Monthly Visits
81.5K
Avg.Visit Duration
00:00:31
Page per Visit
1.60
Bounce Rate
46.43%
Jan 2024 - Dec 2024 All Traffic

Geography

Top 5 Regions

United States
11.29%
Israel
6.40%
Russia
5.54%
Germany
5.41%
Korea
4.62%
Jan 2024 - Dec 2024 Desktop Only

Traffic Sources

Search
57.65%
Direct
31.87%
Referrals
7.30%
Social
2.48%
Display Ads
0.60%
Mail
0.10%
Jan 2024 - Dec 2024 Worldwide Desktop Only

Top Keywords

Keyword
Traffic
Cost Per Click
aporia
102.9K
$ 0.12
panda check if df is not empty
--
how to check missing data on the dataframe for each column
--
abacus ai
35.4K
$ 0.61
drop the na rows in pandas dataframe only based on one column
--

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