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Description
AI Aware is a comprehensive AI detection platform built to help organizations identify AI-generated and manipulated content across multiple digital formats. The platform supports detection for text, images, video, and audio, giving users a centralized solution for verifying digital authenticity and reducing the risks associated with generative AI misuse. AI Aware uses a proprietary ensemble detection framework that combines multiple machine learning models and algorithmic systems to improve accuracy and adaptability against evolving AI technologies. Its text detection capabilities identify content generated by popular large language models including ChatGPT, Claude, Gemini, Grok, and LLaMA. The platform also analyzes deepfake videos, AI-generated images, and synthetic or cloned audio by examining facial inconsistencies, statistical fingerprints, spectral patterns, and metadata anomalies. AI Aware provides explainable outputs and confidence scores so users can understand the reasoning behind each detection result instead of relying on simple pass-or-fail indicators. The platform is designed to detect even human-edited or “humanized” AI content that many simpler detection systems fail to recognize. Businesses can use the system to reduce misinformation, fraud, phishing, social engineering attacks, and reputational risks caused by synthetic content. AI Aware serves a wide range of industries including legal services, media, education, HR, cybersecurity, and financial services. The platform is optimized for fast processing, delivering detection results within seconds for documents, audio files, images, and videos. By combining multimodal AI detection with advanced analytics, AI Aware helps organizations make more confident decisions about the content they encounter.
Description
Fraud within contact centers constitutes a massive financial issue, amounting to billions of dollars annually. Alarmingly, only one in 770 fraudulent calls manages to reach agents, highlighting a significant challenge. This creates a constant struggle between fraudsters and call center representatives as they strive to outwit one another. In the Interactive Voice Response (IVR) system, about one in 390 accessed accounts falls prey to fraudulent attacks. The repercussions of such fraud not only affect a company’s financial standing but also influence customer satisfaction and overall brand reputation. Pindrop® offers a comprehensive, multifactor, real-time solution to combat fraud, assessing calls made to the contact center by examining various factors including voice, device, and behavior, which enables the detection of up to 80% of phone channel fraud, forecasts potential fraud risks up to 60 days ahead, and provides an extensive view of cross-channel fraud. By assessing call and account risk within the IVR, businesses can effectively thwart data breaches, account takeovers, and fraud across multiple channels. Moreover, organizations can receive immediate alerts about the risk associated with each call, equipping agents with real-time information to identify and manage potentially fraudulent interactions more effectively.
API Access
Has API
No
API Access
Has API
Yes
Integrations
Amazon Connect
No
Amazon Web Services (AWS)
No
Genesys Cloud CX
No
GigaSECURE
No
Gigamon
No
InteractionSync
No
Microsoft Azure
Yes
Verizon Cloud
No
Integrations
Amazon Connect
Yes
Amazon Web Services (AWS)
Yes
Genesys Cloud CX
Yes
GigaSECURE
Yes
Gigamon
Yes
InteractionSync
Yes
Microsoft Azure
No
Verizon Cloud
Yes
Pricing Details
$12
100 credits
Free Trial
No
Free Version
Yes
Pricing Details
No price information available.
Free Trial
No
Free Version
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Deployment
Web-Based
Yes
On-Premises
No
iPhone App
No
iPad App
No
Android App
No
Windows
No
Mac
No
Linux
No
Chromebook
No
Customer Support
Business Hours
Yes
Live Rep (24/7)
No
Online Support
Yes
Customer Support
Business Hours
Yes
Live Rep (24/7)
Yes
Online Support
Yes
Types of Training
Training Docs
Yes
Webinars
No
Live Training (Online)
Yes
In Person
No
Types of Training
Training Docs
Yes
Webinars
Yes
Live Training (Online)
No
In Person
No
Vendor Details
Company Name
AI Aware
Founded
2023
Country
United Kingdom
Website
aiaware.io
Vendor Details
Company Name
Pindrop
Founded
2011
Country
United States
Website
www.pindrop.com/solutions/anti-fraud/
