Best AI tools for< Investigate Online Fraud >

AI Scam Detective is an AI tool designed to help users detect and prevent online scams. Users can paste messages or conversations into the provided box to receive a scam likelihood score from 1 to 10. The tool aims to assist individuals in identifying potential scams and protecting themselves from fraudulent activities. Created by Sam Meehan.

ScamAlert is an AI-powered application designed to help users avert scams in a smarter way. By adopting the power of AI and building smart systems, ScamAlert protects users from being scammed by analyzing risks, conducting manual reviews, providing timely alerts, and fostering a social community to prevent similar scams. The application enhances the online experience by taking care of risky aspects while empowering users to make well-informed decisions.

Redflag AI is a leading provider of content and brand protection solutions. Our AI-powered platform helps businesses protect their brands from fraud, abuse, and counterfeiting. We offer a range of services to help businesses protect their online presence, including brand monitoring, content moderation, and fraud detection.

PreCheck.ai is an AI-powered facial recognition and ID verification platform that empowers individuals and businesses with tools for privacy, reputation management, and fast online identity verification. It offers solutions for protecting personal privacy, monitoring online reputation, identifying unauthorized images, finding lost photos, assisting law enforcement, and helping content creators protect their work. The platform provides lightning-fast verification, fraud prevention, and industry-leading accuracy through features like ID/passport scan, facial image search, advanced filtering options, link and photo removal requests, data enrichment, and developer-friendly APIs.

Aura is an all-in-one digital safety platform that uses artificial intelligence (AI) to protect your family online. It offers a wide range of features, including financial fraud protection, identity theft protection, VPN & online privacy, antivirus, password manager & smart vault, parental controls & safe gaming, and spam call protection. Aura is easy to use and affordable, and it comes with a 60-day money-back guarantee.

PimEyes is an online face search engine that uses face recognition technology to find pictures containing given faces. It is a great tool to audit copyright infringement, protect your privacy, and find people.

SocialFinder.ai is an AI-powered tool that enables users to find anyone online with a single photo. The tool uses cutting-edge AI technology to scan the web, locate social media profiles, determine image geolocation, and verify the identity of individuals. It helps users quickly and effectively find someone's digital footprint, making it a valuable resource for various fields, including investigations, background checks, and event planning.

FaceCheck.ID is a facial recognition AI technology-powered search engine that allows users to upload a photo of a person to discover their social media profiles, appearances in blogs, videos, news websites, and more. It helps users verify the authenticity of individuals, avoid dangerous criminals, keep their families safe, and avoid becoming victims of various scams and crimes. The tool is designed to assist in identifying and uncovering information about individuals based on their facial features, with a focus on safety and security.

Hatchet is an AI companion designed to assist on-call engineers in incident response by providing intelligent insights and suggestions based on logs, communications channels, and code analysis. It helps save time and money by automating the triaging and investigation process during critical incidents. The tool is built by engineers with a focus on data security, offering self-hosted deployments, permissions, audit trails, SSO, and version control. Hatchet aims to streamline incident resolution for tier-1 services, enabling faster response and potential problem resolution.

SecureLabs is an AI-powered platform that offers comprehensive security, privacy, and compliance management solutions for businesses. The platform integrates cutting-edge AI technology to provide continuous monitoring, incident response, risk mitigation, and compliance services. SecureLabs helps organizations stay current and compliant with major regulations such as HIPAA, GDPR, CCPA, and more. By leveraging AI agents, SecureLabs offers autonomous aids that tirelessly safeguard accounts, data, and compliance down to the account level. The platform aims to help businesses combat threats in an era of talent shortages while keeping costs down.

Dropzone AI is an award-winning AI application designed to reinforce Security Operations Centers (SOCs) by providing autonomous AI analysts. It replicates the techniques of elite analysts to autonomously investigate alerts, covering various use cases such as phishing, endpoint, network, cloud, identity, and insider threats. The application offers pre-trained AI agents that work alongside human analysts, automating investigation tasks and providing fast, detailed, and accurate reports. With built-in integrations with major security tools, Dropzone AI aims to reduce Mean Time to Respond (MTTR) and allow analysts to focus on addressing real threats.

CrowdStrike is a cloud-based cybersecurity platform that provides endpoint protection, threat intelligence, and incident response services. It uses artificial intelligence (AI) to detect and prevent cyberattacks. CrowdStrike's platform is designed to be scalable and easy to use, and it can be deployed on-premises or in the cloud. CrowdStrike has a global customer base of over 23,000 organizations, including many Fortune 500 companies.

Exabeam is a cybersecurity and compliance platform that offers Security Information and Event Management (SIEM) solutions. The platform provides flexible choices for threat detection, investigation, and response, whether through cloud-based AI-driven solutions or on-premises SIEM deployments. Exabeam's AI-driven Security Operations Platform combines advanced threat detection capabilities with automation to deliver faster and more accurate TDIR. With features like UEBA, SOAR, and insider threat detection, Exabeam helps organizations improve security posture and optimize investments. The platform supports various industries and use cases, offering pre-built content, behavioral analytics, and context enrichment for enhanced threat coverage and compliance.

Flagright Solutions is an AI-native AML Compliance & Risk Management platform that offers real-time transaction monitoring, automated case management, AI forensics for screening, customer risk assessment, and sanctions screening. Trusted by financial institutions worldwide, Flagright's platform streamlines compliance workflows, reduces manual tasks, and enhances fraud detection accuracy. The platform provides end-to-end solutions for financial crime compliance, empowering operational teams to collaborate effectively and make reliable decisions. With advanced AI algorithms and real-time processing, Flagright ensures instant detection of suspicious activities, reducing false positives and enhancing risk detection capabilities.

CensysGPT Beta is a tool that simplifies building queries and empowers users to conduct efficient and effective reconnaissance operations. It enables users to quickly and easily gain insights into hosts on the internet, streamlining the process and allowing for more proactive threat hunting and exposure management.

CrowdStrike is a leading cybersecurity platform that uses artificial intelligence (AI) to protect businesses from cyber threats. The platform provides a unified approach to security, combining endpoint security, identity protection, cloud security, and threat intelligence into a single solution. CrowdStrike's AI-powered technology enables it to detect and respond to threats in real-time, providing businesses with the protection they need to stay secure in the face of evolving threats.

Vectra AI is a leading AI security platform that helps organizations stop advanced cyber attacks by providing an integrated signal for extended detection and response (XDR). The platform arms security analysts with real-time intelligence to detect, prioritize, investigate, and respond to threats across network, identity, cloud, and managed services. Vectra AI's AI-driven detections and Attack Signal Intelligence enable organizations to protect against various attack types and emerging threats, enhancing cyber resilience and reducing risks in critical infrastructure, cloud environments, and remote workforce scenarios. Trusted by over 1100 enterprises worldwide, Vectra AI is recognized for its expertise in AI security and its ability to stop sophisticated attacks that other technologies may miss.

Megagon Labs is an AI research lab focusing on Knowledge Representation & Reasoning, Natural Language Processing, Human-Centered AI, and Data AI Symbiosis. They empower users with better information to make informed decisions through cutting-edge research and technologies. The lab's work includes investigating symbiotic systems, data management for AI, human-centered AI tools, and enhancing NLP capabilities for various domains.

Vectra AI is an advanced AI-driven cybersecurity platform that helps organizations detect, prioritize, investigate, and respond to sophisticated cyber threats in real-time. The platform provides Attack Signal Intelligence to arm security analysts with the necessary intel to stop attacks fast. Vectra AI offers integrated signal for extended detection and response (XDR) across various domains such as network, identity, cloud, and endpoint security. Trusted by 1,500 enterprises worldwide, Vectra AI is known for its patented AI security solutions that deliver the best attack signal intelligence on the planet.

Cyguru is an all-in-one cloud-based AI Security Operation Center (SOC) that offers a comprehensive range of features for a robust and secure digital landscape. Its Security Operation Center is the cornerstone of its service domain, providing AI-Powered Attack Detection, Continuous Monitoring for Vulnerabilities and Misconfigurations, Compliance Assurance, SecPedia: Your Cybersecurity Knowledge Hub, and Advanced ML & AI Detection. Cyguru's AI-Powered Analyst promptly alerts users to any suspicious behavior or activity that demands attention, ensuring timely delivery of notifications. The platform is accessible to everyone, with up to three free servers and subsequent pricing that is more than 85% below the industry average.

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, ...

Extension | OS is an open-source browser extension that brings AI directly to users' web browsers, allowing them to access powerful models like LLMs seamlessly. Users can create prompts, fix grammar, and access intelligent assistance without switching tabs. The extension aims to revolutionize online information interaction by integrating AI into everyday browsing experiences. It offers features like Prompt Factory for tailored prompts, seamless LLM model access, secure API key storage, and a Mixture of Agents feature. The extension was developed to empower users to unleash their creativity with custom prompts and enhance their browsing experience with intelligent assistance.

TinyTroupe is an experimental Python library that leverages Large Language Models (LLMs) to simulate artificial agents called TinyPersons with specific personalities, interests, and goals in simulated environments. The focus is on understanding human behavior through convincing interactions and customizable personas for various applications like advertisement evaluation, software testing, data generation, project management, and brainstorming. The tool aims to enhance human imagination and provide insights for better decision-making in business and productivity scenarios.

BentoML is an open-source model serving library for building performant and scalable AI applications with Python. It comes with everything you need for serving optimization, model packaging, and production deployment.

PentestGPT is a penetration testing tool empowered by ChatGPT, designed to automate the penetration testing process. It operates interactively to guide penetration testers in overall progress and specific operations. The tool supports solving easy to medium HackTheBox machines and other CTF challenges. Users can use PentestGPT to perform tasks like testing connections, using different reasoning models, discussing with the tool, searching on Google, and generating reports. It also supports local LLMs with custom parsers for advanced users.

This repository contains a hand-curated list of great machine (deep) learning resources for Natural Language Processing (NLP) with a focus on Generative Pre-trained Transformer (GPT), Bidirectional Encoder Representations from Transformers (BERT), attention mechanism, Transformer architectures/networks, Chatbot, and transfer learning in NLP.

This repository does not provide a tool, but rather a collection of resources and strategies for academics in the field of artificial intelligence who are feeling depressed or overwhelmed by the rapid advancements in the field. The resources include articles, blog posts, and other materials that offer advice on how to cope with the challenges of working in a fast-paced and competitive environment.

Reinforcement Learning from AI Feedback (RLAIF) is a concept that describes a type of machine learning approach where **an AI agent learns by receiving feedback or guidance from another AI system**. This concept is closely related to the field of Reinforcement Learning (RL), which is a type of machine learning where an agent learns to make a sequence of decisions in an environment to maximize a cumulative reward. In traditional RL, an agent interacts with an environment and receives feedback in the form of rewards or penalties based on the actions it takes. It learns to improve its decision-making over time to achieve its goals. In the context of Reinforcement Learning from AI Feedback, the AI agent still aims to learn optimal behavior through interactions, but **the feedback comes from another AI system rather than from the environment or human evaluators**. This can be **particularly useful in situations where it may be challenging to define clear reward functions or when it is more efficient to use another AI system to provide guidance**. The feedback from the AI system can take various forms, such as: - **Demonstrations** : The AI system provides demonstrations of desired behavior, and the learning agent tries to imitate these demonstrations. - **Comparison Data** : The AI system ranks or compares different actions taken by the learning agent, helping it to understand which actions are better or worse. - **Reward Shaping** : The AI system provides additional reward signals to guide the learning agent's behavior, supplementing the rewards from the environment. This approach is often used in scenarios where the RL agent needs to learn from **limited human or expert feedback or when the reward signal from the environment is sparse or unclear**. It can also be used to **accelerate the learning process and make RL more sample-efficient**. Reinforcement Learning from AI Feedback is an area of ongoing research and has applications in various domains, including robotics, autonomous vehicles, and game playing, among others.

LARS is an application that enables users to run Large Language Models (LLMs) locally on their devices, upload their own documents, and engage in conversations where the LLM grounds its responses with the uploaded content. The application focuses on Retrieval Augmented Generation (RAG) to increase accuracy and reduce AI-generated inaccuracies. LARS provides advanced citations, supports various file formats, allows follow-up questions, provides full chat history, and offers customization options for LLM settings. Users can force enable or disable RAG, change system prompts, and tweak advanced LLM settings. The application also supports GPU-accelerated inferencing, multiple embedding models, and text extraction methods. LARS is open-source and aims to be the ultimate RAG-centric LLM application.

RecAI is a project that explores the integration of Large Language Models (LLMs) into recommender systems, addressing the challenges of interactivity, explainability, and controllability. It aims to bridge the gap between general-purpose LLMs and domain-specific recommender systems, providing a holistic perspective on the practical requirements of LLM4Rec. The project investigates various techniques, including Recommender AI agents, selective knowledge injection, fine-tuning language models, evaluation, and LLMs as model explainers, to create more sophisticated, interactive, and user-centric recommender systems.

AI Audio Datasets List (AI-ADL) is a comprehensive collection of datasets consisting of speech, music, and sound effects, used for Generative AI, AIGC, AI model training, and audio applications. It includes datasets for speech recognition, speech synthesis, music information retrieval, music generation, audio processing, sound synthesis, and more. The repository provides a curated list of diverse datasets suitable for various AI audio tasks.

This repository is a curated collection of resources for fine-tuning Large Language Models (LLMs) like GPT, BERT, RoBERTa, and their variants. It includes tutorials, papers, tools, frameworks, and best practices to aid researchers, data scientists, and machine learning practitioners in adapting pre-trained models to specific tasks and domains. The resources cover a wide range of topics related to fine-tuning LLMs, providing valuable insights and guidelines to streamline the process and enhance model performance.

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Un détective privé qualifié, parle couramment le français et habile dans les enquêtes en ligne. GPTseek.com=G0LWETXGGL

A protector and guide in online safety, detecting manipulations and fraud.

Security-focused GPT offering advice on personal and online safety.

يقدم نصائح للكشف عن الاحتيال

Your guide through the digital frontier, unveiling cyber secrets with expertise.

OSINT Agent for lawful, detailed online research.

Provide OSINT report on a Person/Company

Play as a detective to investigate the case and find out the truth.

Expert AI with Incident Response & Digital Forensics

I'm Dr. Veldeski, a para-psychologist with a quirky, humorous style, specializing in the paranormal.

An investigator of the paranormal, UFOs, and unexplained phenomena with a balance of intrigue and skepticism.

A detective investigating the mystery of Satoshi Nakamoto. Uncovering the secrets of Bitcoin's and Crypto creator. Powered by Breebs (www.breebs.com)

An investigative GPT focusing on scandals and high-profile events, offering informative insights.

A detective game simulator, using real-world events and local knowledge to solve a crime mystery..

A virtual SOC analyst aiding in incident response.

Access the mind of the world's greatest detective

Unearths digital footprints

Expert on Governement functional standards

Mit KI gegen Kartelle