Best AI tools for< investigate complex transnational crime cases >

Wunderschild is an AI-driven platform for financial crime intelligence. It provides intelligence solutions based on network assessment, data linkage, flow aggregation, and machine learning. Wunderschild's technology revolutionizes compliance and investigation techniques. It brings insights on strategic risks related to Politically Exposed Persons, Serious Organised Crime, Terrorism Financing, etc. It also enhances the compliance functions in a pro-active role with scoring tools based on semi-supervised learning techniques. Wunderschild's data backbone is a global business registry enriched with information extracted with advanced machine learning techniques. It allows for deep-dives in complex transnational crime cases including Tax Fraud, Money Laundering, Market abuse.

Tusk is an AI coding agent designed to assist software engineers in completing chore tickets efficiently. It generates code from tickets to pull requests, automates sanity tests, addresses feedback, and investigates complex tasks. Tusk saves time by regenerating code, allowing engineers to focus on fulfilling work. It is trusted by engineers at high-growth companies and offers one-click push to GitHub repositories. The application is designed to handle tasks like fixing bugs, making copy changes, and improving user experience. Tusk integrates with popular tools like Linear, Jira, Notion, and GitHub to streamline the development process.

The Visual Computing and Artificial Intelligence Department investigates foundational research problems at the intersection of Computer Graphics, Computer Vision and Artificial Intelligence. It is our long term vision to develop entirely new ways to capture, represent, synthesize and simulate models of the real world at highest detail, robustness, and efficiency. To achieve this long term goal, we develop new concepts that rethink and unite established approaches from Computer Graphics and Computer Vision with concepts from Artificial Intelligence, in particular Machine Learning. Our work lays the foundations for a new of thinking about computer graphics, and a new way of uniting and enriching the real world with computer graphics technology. It also lays the foundations for advanced methods to better perceive, understand and interpret the complex real world in motion surrounding us from visual observation, which is an essential capability of future intelligent computing systems that safely and intuitively interact with humans and the human world.

Hatchet is an AI-powered incident response platform that helps engineers resolve pages faster and more efficiently. It ingests logs, codebases, and knowledge hubs to provide relevant context and suggest code fixes. Hatchet is self-hosted and secure, with features such as permissions, audit trails, SSO, and version control. It integrates with any alerting system and can be used by on-call engineers for tier-1 services to triage and investigate incidents, ultimately leading to a PR if necessary.

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.

Flagright is an AML compliance and fraud prevention platform that uses AI to help businesses identify and mitigate financial crime risks. The platform provides a range of features, including real-time transaction monitoring, case management, AI forensics, and customer risk assessment. Flagright is trusted by fintechs, banks, and other businesses around the world to help them stay compliant and protect their customers from financial crime.

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.

Resolvd is an AI-powered incident response platform that helps engineering teams reduce alert noise, accelerate investigations, and resolve incidents faster. By correlating connected events across data sources, Resolvd provides engineers with a unified view of the incident, enabling them to quickly identify the root cause and take action. Resolvd also automates anomaly detection, surfacing critical issues that may have otherwise been missed.

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.

Ambient.ai is a physical security software company that uses artificial intelligence and computer vision to transform security tools, operations, and outcomes. Their product is designed to help security teams move from reactive to proactive operations by automating repeatable tasks and providing real-time threat detection. Ambient.ai's threat signatures look for unexpected changes in human behavior, which are used to identify emerging security incidents. The company's product is designed to adapt in real-time to an always-changing risk landscape.

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.

Abnormal is a cloud-based email security platform that uses artificial intelligence (AI) to protect organizations from email and email-like attacks. It offers a range of features, including inbound email security, email account takeover protection, email security posture management, and email security operations. Abnormal is trusted by more than 10% of the Fortune 500 and has been proven to provide a 278% return on investment.

Overwatch Data is a real-time, global understanding platform that provides concise, actionable insights tailored for cyber, fraud, security, supply chain, and market intelligence needs. It offers a seamless intelligence solution that saves time and cuts through the noise, delivering the most important information directly to teams. With its fully customizable features, simple onboarding, intuitive data visualizations, executive summaries, and free-form chat capabilities, Overwatch Data empowers users to monitor and research data effectively.

Imagetwin is an AI-based software for detecting integrity issues in figures of scientific articles. It can detect inappropriate manipulation and duplication in many figure types, including blots (western blots), microscopy images, and light photography. Imagetwin is a powerful addition to the peer-review process. All kinds of integrity issues are automatically detected and can be quickly verified by a reviewer. Your data is kept private and secure: We do not store any uploaded content, and communication with our servers is encrypted.

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.

GitHub Next is a research and development team at GitHub that explores the future of software development. The team prototypes tools and technologies that will change the way we build software, and identifies new approaches to building healthy, productive software engineering teams.

Amped Software develops solutions for the analysis and enhancement of images and videos for forensic, security, and investigative applications. Their tools are used by top forensic labs, law enforcement, military, security, and government agencies worldwide.

LiarLiar.ai is an AI lie detector and heart rate monitor application that utilizes cutting-edge AI technology to detect deception and inconsistent behavior by analyzing micromovements, heart rate, subtle cues in body language, facial expressions, voice consistency, and choice of language. It offers real-time transcription, language analysis, automatic recording, and reporting features. The tool combines technology and psychology to interpret data accurately, providing insights into the honesty of interactions. LiarLiar.ai aims to revolutionize communication, enhance trust, and promote transparency in the modern world.

AI Voice Detector is a tool that helps protect against AI voice scams. It can detect if an audio or call is AI-generated or not. The tool has a 92% accuracy rate and provides a probability that the audio was generated by AI. AI Voice Detector can be used by individuals and businesses to protect themselves from AI voice scams.

Beehave is a powerful addon for Godot Engine that enables users to create robust AI systems using behavior trees. It simplifies the design of complex NPC behaviors, challenging boss battles, and other advanced setups. Beehave allows for the creation of highly adaptive AI that responds to changes in the game world and overcomes unexpected obstacles, catering to both beginners and experienced developers. The tool is currently in development for version 3.0.

LLM4EDA is a repository dedicated to showcasing the emerging progress in utilizing Large Language Models for Electronic Design Automation. The repository includes resources, papers, and tools that leverage LLMs to solve problems in EDA. It covers a wide range of applications such as knowledge acquisition, code generation, code analysis, verification, and large circuit models. The goal is to provide a comprehensive understanding of how LLMs can revolutionize the EDA industry by offering innovative solutions and new interaction paradigms.

**Promptulate** is an AI Agent application development framework crafted by **Cogit Lab** , which offers developers an extremely concise and efficient way to build Agent applications through a Pythonic development paradigm. The core philosophy of Promptulate is to borrow and integrate the wisdom of the open-source community, incorporating the highlights of various development frameworks to lower the barrier to entry and unify the consensus among developers. With Promptulate, you can manipulate components like LLM, Agent, Tool, RAG, etc., with the most succinct code, as most tasks can be easily completed with just a few lines of code. 🚀

This repository contains a collection of papers and resources related to Large Language Models (LLMs), including their applications in various domains such as text generation, translation, question answering, and dialogue systems. The repository also includes discussions on the ethical and societal implications of LLMs. **Description** This repository is a collection of papers and resources related to Large Language Models (LLMs). LLMs are a type of artificial intelligence (AI) that can understand and generate human-like text. They have a wide range of applications, including text generation, translation, question answering, and dialogue systems. **For Jobs** - **Content Writer** - **Copywriter** - **Editor** - **Journalist** - **Marketer** **AI Keywords** - **Large Language Models** - **Natural Language Processing** - **Machine Learning** - **Artificial Intelligence** - **Deep Learning** **For Tasks** - **Generate text** - **Translate text** - **Answer questions** - **Engage in dialogue** - **Summarize text**

This repository contains examples, applications, starter code, & tutorials to help you kickstart your GenAI projects. * These are built using LanceDB, a free, open-source, serverless vectorDB that **requires no setup**. * It **integrates into python data ecosystem** so you can simply start using these in your existing data pipelines in pandas, arrow, pydantic etc. * LanceDB has **native Typescript SDK** using which you can **run vector search** in serverless functions! This repository is divided into 3 sections: - Examples - Get right into the code with minimal introduction, aimed at getting you from an idea to PoC within minutes! - Applications - Ready to use Python and web apps using applied LLMs, VectorDB and GenAI tools - Tutorials - A curated list of tutorials, blogs, Colabs and courses to get you started with GenAI in greater depth.

Agentic is a standard AI functions/tools library optimized for TypeScript and LLM-based apps, compatible with major AI SDKs. It offers a set of thoroughly tested AI functions that can be used with favorite AI SDKs without writing glue code. The library includes various clients for services like Bing web search, calculator, Clearbit data resolution, Dexa podcast questions, and more. It also provides compound tools like SearchAndCrawl and supports multiple AI SDKs such as OpenAI, Vercel AI SDK, LangChain, LlamaIndex, Firebase Genkit, and Dexa Dexter. The goal is to create minimal clients with strongly-typed TypeScript DX, composable AIFunctions via AIFunctionSet, and compatibility with major TS AI SDKs.

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.

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.

CAMEL is an open-source library designed for the study of autonomous and communicative agents. We believe that studying these agents on a large scale offers valuable insights into their behaviors, capabilities, and potential risks. To facilitate research in this field, we implement and support various types of agents, tasks, prompts, models, and simulated environments.

Awesome-llm-role-playing-with-persona is a curated list of resources for large language models for role-playing with assigned personas. It includes papers and resources related to persona-based dialogue systems, personalized response generation, psychology of LLMs, biases in LLMs, and more. The repository aims to provide a comprehensive collection of research papers and tools for exploring role-playing abilities of large language models in various contexts.

This repository compiles a list of academic papers that evaluate, align, simulate, and provide surveys or perspectives on the use of Large Language Models (LLMs) in the field of Social Science. The papers cover various aspects of LLM research, including assessing their alignment with human values, evaluating their capabilities in tasks such as opinion formation and moral reasoning, and exploring their potential for simulating social interactions and addressing issues in diverse fields of Social Science. The repository aims to provide a comprehensive resource for researchers and practitioners interested in the intersection of LLMs and Social Science.

ChatGPT is a large language model that can generate human-like text, translate languages, write different kinds of creative content, and answer your questions in a conversational way. It is trained on a massive amount of text data, and it is able to understand and respond to a wide range of natural language prompts. Here are 5 jobs suitable for this tool, in lowercase letters: 1. content writer 2. chatbot assistant 3. language translator 4. creative writer 5. researcher

This repository serves as a comprehensive hub for updates on generative AI research, interview materials, notebooks, and more. It includes monthly best GenAI papers list, interview resources, free courses, and code repositories/notebooks for developing generative AI applications. The repository is regularly updated with the latest additions to keep users informed and engaged in the field of generative AI.

PyLLMCore is a light-weighted interface with Large Language Models with native support for llama.cpp, OpenAI API, and Azure deployments. It offers a Pythonic API that is simple to use, with structures provided by the standard library dataclasses module. The high-level API includes the assistants module for easy swapping between models. PyLLMCore supports various models including those compatible with llama.cpp, OpenAI, and Azure APIs. It covers use cases such as parsing, summarizing, question answering, hallucinations reduction, context size management, and tokenizing. The tool allows users to interact with language models for tasks like parsing text, summarizing content, answering questions, reducing hallucinations, managing context size, and tokenizing text.

Autonomous agents are designed to achieve specific objectives through self-guided instructions. With the emergence and growth of large language models (LLMs), there is a growing trend in utilizing LLMs as fundamental controllers for these autonomous agents. This repository conducts a comprehensive survey study on the construction, application, and evaluation of LLM-based autonomous agents. It explores essential components of AI agents, application domains in natural sciences, social sciences, and engineering, and evaluation strategies. The survey aims to be a resource for researchers and practitioners in this rapidly evolving field.

HolmesGPT is an open-source DevOps assistant powered by OpenAI or any tool-calling LLM of your choice. It helps in troubleshooting Kubernetes, incident response, ticket management, automated investigation, and runbook automation in plain English. The tool connects to existing observability data, is compliance-friendly, provides transparent results, supports extensible data sources, runbook automation, and integrates with existing workflows. Users can install HolmesGPT using Brew, prebuilt Docker container, Python Poetry, or Docker. The tool requires an API key for functioning and supports OpenAI, Azure AI, and self-hosted LLMs.

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.

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

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

Expert on extraterrestrial abductions and close encounters, with a verification process for accuracy.

Detective solving cold cases via net.

Best Tools, Techniques and Tactics for Tracking Down Cyber Criminals.

Want to know if a house or area is haunted? GhostCheck is here to do it! An engaging haunted house researcher with a playful approach

Incarne un détective sur une scène de crime, enquêtes, trouves des indices et deviens le nouveau Sherlock Holmes . 3 Niveaux de difficulté.

Expert in UFO/UAP analysis, employing scientific methods for realistic interpretations.

I am a detective simulator, inspired by Hercule Poirot.