Best AI tools for< Identify Fraud >
20 - AI tool Sites
Advantis AI
Advantis AI is a platform that helps users make informed decisions about buying and selling cryptocurrencies. It uses a combination of AI and human expertise to identify fraudulent activities and provide users with the information they need to make sound investment decisions. Advantis AI offers a range of products, including an AI-powered charting and swap platform, a crypto university, and an AI-powered Discord and Telegram scanner.
JMIR AI
JMIR AI is a new peer-reviewed journal focused on research and applications for the health artificial intelligence (AI) community. It includes contemporary developments as well as historical examples, with an emphasis on sound methodological evaluations of AI techniques and authoritative analyses. It is intended to be the main source of reliable information for health informatics professionals to learn about how AI techniques can be applied and evaluated.
Convr
Convr is a modularized AI underwriting and intelligent document automation workbench that enriches and expedites the commercial insurance new business and renewal submission flow with underwriting insights, business classification and risk scoring. As a trusted technology partner and advisor with deep industry expertise, we help insurance organizations transform their underwriting operations through our AI-driven digital underwriting analysis platform.
Gradient AI
Gradient AI is a leading provider of artificial intelligence solutions for the insurance industry. Its solutions improve loss ratios and profitability by predicting underwriting and claims risks with greater accuracy, as well as reducing quote turnaround times and claim expenses through intelligent automation.
Eye for AI
Eye for AI is a comprehensive AI-powered platform that provides a wide range of tools and resources to help businesses and individuals harness the power of AI. With Eye for AI, users can access cutting-edge AI technologies, including natural language processing, computer vision, and machine learning, to automate tasks, improve decision-making, and gain valuable insights from data.
Bearkd Clicktracker
Bearkd Clicktracker is an adblock-proof AI tracking and attribution software designed to help e-commerce stores maximize profitability. It offers fully automated, customizable click fraud prevention and reporting, allowing users to identify and exclude invalid and wasteful traffic, including click fraud and bot attacks. Bearkd's AI-powered system analyzes every click against a wide range of markers to determine its legitimacy, ensuring accurate and reliable data for campaign optimization. With Bearkd, businesses can optimize for intent, enhance traffic quality, increase conversion rates, and protect their PPC budget from fraudulent activities.
MindBridge
MindBridge is a global leader in financial risk discovery and anomaly detection. The MindBridge AI Platform drives insights and assesses risks across critical business operations. It offers various products like General Ledger Analysis, Company Card Risk Analytics, Payroll Risk Analytics, Revenue Risk Analytics, and Vendor Invoice Risk Analytics. With over 250 unique machine learning control points, statistical methods, and traditional rules, MindBridge is deployed to over 27,000 accounting, finance, and audit professionals globally.
ChainAware.ai
ChainAware.ai is an AI-powered blockchain super tool designed for both users and businesses. It offers a range of features such as Wallet Auditor, Fraud Detector, and Rug Pull Detector to enhance security and trust in blockchain transactions. The tool provides predictive AI capabilities to prevent fraud and identify potential risks before they occur. Additionally, it offers business solutions including account-based user acquisition, web3 user analytics, and crypto fraud detection with AI. ChainAware.ai aims to revolutionize the way users interact with blockchain technology by providing advanced tools and services powered by artificial intelligence.
CUBE3.AI
CUBE3.AI is a real-time crypto fraud prevention tool that utilizes AI technology to identify and prevent various types of fraudulent activities in the blockchain ecosystem. It offers features such as risk assessment, real-time transaction security, automated protection, instant alerts, and seamless compliance management. The tool helps users protect their assets, customers, and reputation by proactively detecting and blocking fraud in real-time.
Roundtable
Roundtable is an AI-assisted data cleaning tool designed for enterprise survey programming. It offers an easy-to-integrate API for cleaning open-ended survey responses, saving up to 70% of time. The tool uses real-time behavioral tracking to detect unnatural typing and programmatic entries, and it provides multilingual functionality for deploying studies to various markets. Roundtable also features GPT detection to identify bots and participants, dynamic clustering to group duplicate responses, and programmatic pre-screening to auto-reject low-quality participants. The tool is trusted by leaders and innovators for improving data quality efforts and providing reliable human-generated insights.
LogicLoop
LogicLoop is an all-in-one operations automation platform that allows users to set up alerts and automations on top of their data. It is designed to help businesses monitor their operations, identify risks, and take action to prevent problems. LogicLoop can be used by businesses of all sizes and industries, and it is particularly well-suited for businesses that are looking to improve their efficiency and reduce their risk.
Hiya
Hiya is an AI-powered caller ID, call blocker, and protection application that enhances voice communication experiences. It helps users identify incoming calls, block spam and fraud, and protect against AI voice fraud and scams. Hiya offers solutions for businesses, carriers, and consumers, with features like branded caller ID, spam detection, call filtering, and more. With a global reach and a user base of over 450 million, Hiya aims to bring trust, identity, and intelligence back to phone calls.
ClicKarma
ClicKarma is an AI-driven defense tool designed to protect Google Ads from click frauds. It maximizes ROI by ensuring authentic interactions and eliminating wasted spend from bots and dishonest competitors. The tool offers advanced AI features to proactively identify and block disruptive click fraud, operates on auto-pilot, and provides real-time protection. ClicKarma significantly improves campaign metrics, increases genuine interactions, and enhances ROI for Google Ads campaigns.
Rank One Computing
Rank One Computing (ROC) is an American-made provider of multimodal biometrics and computer vision solutions, specializing in face recognition, fingerprint recognition, and artificial intelligence technologies. Trusted by the U.S. military, law enforcement, and leading FinTech brands, ROC offers top-ranked software for identity proofing and threat detection. Their suite of products includes ROC SDK, ROC Watch, and custom enterprise AI development services. With a focus on security and efficiency, ROC aims to make the world safer and more convenient through unbiased and privacy-conscious applications.
AI or Not
AI or Not is an AI-powered tool that helps businesses and individuals detect AI-generated images and audio. It uses advanced machine learning algorithms to analyze content and determine the likelihood of AI manipulation. With AI or Not, users can protect themselves from fraud, misinformation, and other malicious activities involving AI-generated content.
AI Content Detector
The AI Content Detector is a powerful tool designed to identify AI-generated content with unparalleled accuracy and ease. It offers advanced algorithms to analyze text, highlight AI-written sentences, and provide detailed reports on the percentage of AI content. The tool is engineered for precision and efficiency, ensuring dependable security against fraudulent AI-generated content. With continuous upgrades and training, the AI detection system stays at the cutting edge of technology, benefiting students, educators, bloggers, researchers, and businesses in safeguarding their work's integrity and reputation.
Link Shield
Link Shield is an AI-powered malicious URL detection API platform that helps protect online security. It utilizes advanced machine learning algorithms to analyze URLs and identify suspicious activity, safeguarding users from phishing scams, malware, and other harmful threats. The API is designed for ease of integration, affordability, and flexibility, making it accessible to developers of all levels. Link Shield empowers businesses to ensure the safety and security of their applications and online communities.
ThetaRay
ThetaRay is an AI-powered transaction monitoring platform designed for fintechs and banks to detect threats and ensure trust in global payments. It uses unsupervised machine learning to efficiently detect anomalies in data sets and pinpoint suspected cases of money laundering with minimal false positives. The platform helps businesses satisfy regulators, save time and money, and drive financial growth by identifying risks accurately, boosting efficiency, and reducing false positives.
Deepfake Detector
Deepfake Detector is an AI tool designed to identify deepfake audio and video content with 92% model accuracy. It helps individuals and businesses protect themselves from deepfake scams by analyzing voice messages and calls for authenticity. The tool offers probabilities as a guide for further investigation, ensuring credibility in media reporting and legal proceedings. With features like AI Noise Remover and easy API integration, Deepfake Detector is a market leader in detecting deepfakes and preventing financial losses.
Beyond Limits
Beyond Limits is an industrial-grade, hybrid artificial intelligence company built for the most demanding sectors. Beyond traditional AI, Beyond Limitsโ unique Hybrid AI technology combines numeric techniques like machine learning with knowledge-based reasoning to produce actionable intelligence.
20 - Open Source AI Tools
llms-interview-questions
This repository contains a comprehensive collection of 63 must-know Large Language Models (LLMs) interview questions. It covers topics such as the architecture of LLMs, transformer models, attention mechanisms, training processes, encoder-decoder frameworks, differences between LLMs and traditional statistical language models, handling context and long-term dependencies, transformers for parallelization, applications of LLMs, sentiment analysis, language translation, conversation AI, chatbots, and more. The readme provides detailed explanations, code examples, and insights into utilizing LLMs for various tasks.
openagi
OpenAGI is a framework designed to make the development of autonomous human-like agents accessible to all. It aims to pave the way towards open agents and eventually AGI for everyone. The initiative strongly believes in the transformative power of AI and offers developers a platform to create autonomous human-like agents. OpenAGI features a flexible agent architecture, streamlined integration and configuration processes, and automated/manual agent configuration generation. It can be used in education for personalized learning experiences, in finance and banking for fraud detection and personalized banking advice, and in healthcare for patient monitoring and disease diagnosis.
last_layer
last_layer is a security library designed to protect LLM applications from prompt injection attacks, jailbreaks, and exploits. It acts as a robust filtering layer to scrutinize prompts before they are processed by LLMs, ensuring that only safe and appropriate content is allowed through. The tool offers ultra-fast scanning with low latency, privacy-focused operation without tracking or network calls, compatibility with serverless platforms, advanced threat detection mechanisms, and regular updates to adapt to evolving security challenges. It significantly reduces the risk of prompt-based attacks and exploits but cannot guarantee complete protection against all possible threats.
interpret
InterpretML is an open-source package that incorporates state-of-the-art machine learning interpretability techniques under one roof. With this package, you can train interpretable glassbox models and explain blackbox systems. InterpretML helps you understand your model's global behavior, or understand the reasons behind individual predictions. Interpretability is essential for: - Model debugging - Why did my model make this mistake? - Feature Engineering - How can I improve my model? - Detecting fairness issues - Does my model discriminate? - Human-AI cooperation - How can I understand and trust the model's decisions? - Regulatory compliance - Does my model satisfy legal requirements? - High-risk applications - Healthcare, finance, judicial, ...
free-for-life
A massive list including a huge amount of products and services that are completely free! โญ Star on GitHub โข ๐ค Contribute # Table of Contents * APIs, Data & ML * Artificial Intelligence * BaaS * Code Editors * Code Generation * DNS * Databases * Design & UI * Domains * Email * Font * For Students * Forms * Linux Distributions * Messaging & Streaming * PaaS * Payments & Billing * SSL
PIXIU
PIXIU is a project designed to support the development, fine-tuning, and evaluation of Large Language Models (LLMs) in the financial domain. It includes components like FinBen, a Financial Language Understanding and Prediction Evaluation Benchmark, FIT, a Financial Instruction Dataset, and FinMA, a Financial Large Language Model. The project provides open resources, multi-task and multi-modal financial data, and diverse financial tasks for training and evaluation. It aims to encourage open research and transparency in the financial NLP field.
Awesome-LLM4Cybersecurity
The repository 'Awesome-LLM4Cybersecurity' provides a comprehensive overview of the applications of Large Language Models (LLMs) in cybersecurity. It includes a systematic literature review covering topics such as constructing cybersecurity-oriented domain LLMs, potential applications of LLMs in cybersecurity, and research directions in the field. The repository analyzes various benchmarks, datasets, and applications of LLMs in cybersecurity tasks like threat intelligence, fuzzing, vulnerabilities detection, insecure code generation, program repair, anomaly detection, and LLM-assisted attacks.
AICoverGen
AICoverGen is an autonomous pipeline designed to create covers using any RVC v2 trained AI voice from YouTube videos or local audio files. It caters to developers looking to incorporate singing functionality into AI assistants/chatbots/vtubers, as well as individuals interested in hearing their favorite characters sing. The tool offers a WebUI for easy conversions, cover generation from local audio files, volume control for vocals and instrumentals, pitch detection method control, pitch change for vocals and instrumentals, and audio output format options. Users can also download and upload RVC models via the WebUI, run the pipeline using CLI, and access various advanced options for voice conversion and audio mixing.
llm-course
The LLM course is divided into three parts: 1. ๐งฉ **LLM Fundamentals** covers essential knowledge about mathematics, Python, and neural networks. 2. ๐งโ๐ฌ **The LLM Scientist** focuses on building the best possible LLMs using the latest techniques. 3. ๐ท **The LLM Engineer** focuses on creating LLM-based applications and deploying them. For an interactive version of this course, I created two **LLM assistants** that will answer questions and test your knowledge in a personalized way: * ๐ค **HuggingChat Assistant**: Free version using Mixtral-8x7B. * ๐ค **ChatGPT Assistant**: Requires a premium account. ## ๐ Notebooks A list of notebooks and articles related to large language models. ### Tools | Notebook | Description | Notebook | |----------|-------------|----------| | ๐ง LLM AutoEval | Automatically evaluate your LLMs using RunPod | ![Open In Colab](img/colab.svg) | | ๐ฅฑ LazyMergekit | Easily merge models using MergeKit in one click. | ![Open In Colab](img/colab.svg) | | ๐ฆ LazyAxolotl | Fine-tune models in the cloud using Axolotl in one click. | ![Open In Colab](img/colab.svg) | | โก AutoQuant | Quantize LLMs in GGUF, GPTQ, EXL2, AWQ, and HQQ formats in one click. | ![Open In Colab](img/colab.svg) | | ๐ณ Model Family Tree | Visualize the family tree of merged models. | ![Open In Colab](img/colab.svg) | | ๐ ZeroSpace | Automatically create a Gradio chat interface using a free ZeroGPU. | ![Open In Colab](img/colab.svg) |
awesome-ai
Awesome AI is a curated list of artificial intelligence resources including courses, tools, apps, and open-source projects. It covers a wide range of topics such as machine learning, deep learning, natural language processing, robotics, conversational interfaces, data science, and more. The repository serves as a comprehensive guide for individuals interested in exploring the field of artificial intelligence and its applications across various domains.
MiniAI-Face-LivenessDetection-AndroidSDK
The MiniAiLive Face Liveness Detection Android SDK provides advanced computer vision techniques to enhance security and accuracy on Android platforms. It offers 3D Passive Face Liveness Detection capabilities, ensuring that users are physically present and not using spoofing methods to access applications or services. The SDK is fully on-premise, with all processing happening on the hosting server, ensuring data privacy and security.
MiniAI-Face-Recognition-LivenessDetection-AndroidSDK
MiniAiLive provides system integrators with fast, flexible and extremely precise facial recognition with 3D passive face liveness detection (face anti-spoofing) that can be deployed across a number of scenarios, including security, access control, public safety, fintech, smart retail and home protection.
MiniAI-Face-Recognition-LivenessDetection-ServerSDK
The MiniAiLive Face Recognition LivenessDetection Server SDK provides system integrators with fast, flexible, and extremely precise facial recognition that can be deployed across various scenarios, including security, access control, public safety, fintech, smart retail, and home protection. The SDK is fully on-premise, meaning all processing happens on the hosting server, and no data leaves the server. The project structure includes bin, cpp, flask, model, python, test_image, and Dockerfile directories. To set up the project on Linux, download the repo, install system dependencies, and copy libraries into the system folder. For Windows, contact MiniAiLive via email. The C++ example involves replacing the license key in main.cpp, building the project, and running it. The Python example requires installing dependencies and running the project. The Python Flask example involves replacing the license key in app.py, installing dependencies, and running the project. The Docker Flask example includes building the docker image and running it. To request a license, contact MiniAiLive. Contributions to the project are welcome by following specific steps. An online demo is available at https://demo.miniai.live. Related products include MiniAI-Face-Recognition-LivenessDetection-AndroidSDK, MiniAI-Face-Recognition-LivenessDetection-iOS-SDK, MiniAI-Face-LivenessDetection-AndroidSDK, MiniAI-Face-LivenessDetection-iOS-SDK, MiniAI-Face-Matching-AndroidSDK, and MiniAI-Face-Matching-iOS-SDK. MiniAiLive is a leading AI solutions company specializing in computer vision and machine learning technologies.
PyRIT
PyRIT is an open access automation framework designed to empower security professionals and ML engineers to red team foundation models and their applications. It automates AI Red Teaming tasks to allow operators to focus on more complicated and time-consuming tasks and can also identify security harms such as misuse (e.g., malware generation, jailbreaking), and privacy harms (e.g., identity theft). The goal is to allow researchers to have a baseline of how well their model and entire inference pipeline is doing against different harm categories and to be able to compare that baseline to future iterations of their model. This allows them to have empirical data on how well their model is doing today, and detect any degradation of performance based on future improvements.
specification
OWASP CycloneDX is a full-stack Bill of Materials (BOM) standard that provides advanced supply chain capabilities for cyber risk reduction. The specification supports various types of Bill of Materials including Software, Hardware, Machine Learning, Cryptography, Manufacturing, and Operations. It also includes support for Vulnerability Disclosure Reports, Vulnerability Exploitability eXchange, and CycloneDX Attestations. CycloneDX helps organizations accurately inventory all components used in software development to identify risks, enhance transparency, and enable rapid impact analysis. The project is managed by the CycloneDX Core Working Group under the OWASP Foundation and is supported by the global information security community.
20 - OpenAI Gpts
Precision Image Authenticity Analyzer 2.0
Determines if images are AI-generated or real, and learns from feedback.
Payment Integrity
Detailed coding analyst with a focus on overpayment detection and references.
Bank Statement Analyst
Multilingual financial expert for PDF bank statement analysis ->> Latest Update: Mar 12th, 2024
Identify movies, dramas, and animations by image
Just send us an image of a scene from a video work and i will guess the name of the work!
Landmark Vision Identifier
Analyzes images to identify landmarks and shares historical insights and captivating facts.
Value Pursuit GPT
Identify and clarify personal values to cultivate a strong sense of purpose and self-confidence
LogiCheck
Identify key claims and sniff past the BS with your personal AI Logic Checker and Fallacy Expert.
What's Wrong with My Plant?
I confidently identify plants from photos, diagnose issues, and offer advice.
AI Use Case Analyst for Sales & Marketing
Enables sales & marketing leadership to identify high-value AI use cases
Rock Identifier GPT
I identify various rocks from images and advise consulting a geologist for certainty.
Attachment Style Quiz
This interactive inquiry will help identify your relationship attachment style.