Best AI tools for< Detect Data Exfiltration >

Nightfall AI is a comprehensive data security platform that leverages AI technology to provide advanced data protection solutions. The platform offers features such as data loss prevention, data protection, and data privacy for AI applications. Nightfall AI helps organizations prevent secrets sprawl, data exfiltration, and safeguard personal information across various industries. With a focus on compliance and security, Nightfall AI enables secure AI usage and encrypts sensitive data automatically. The platform is designed to eliminate blind spots in data security and offers a better way to scan, detect, and remediate data risks effectively.

Traceable is an intelligent API security platform designed for enterprise-scale security. It offers unmatched API discovery, attack detection, threat hunting, and infinite scalability. The platform provides comprehensive protection against API attacks, fraud, and bot security, along with API testing capabilities. Powered by Traceable's OmniTrace Engine, it ensures unparalleled security outcomes, remediation, and pre-production testing. Security teams trust Traceable for its speed and effectiveness in protecting API infrastructures.

Narrative BI is a generative analytics platform designed for growth teams to automatically transform raw data into actionable narratives. It offers integrations with popular tools like Google Analytics, Google Ads, Facebook Ads, and more, providing users with AI-generated insights and alerts to optimize their marketing and advertising strategies. The platform aims to simplify data analysis and decision-making processes by condensing complex data into easy-to-understand information, enabling users to make informed decisions based on real-time data.

The website is an AI tool designed for API privacy, governance, and testing. It offers solutions to detect and remediate sensitive data leaks, ensure compliance, and automate API testing and documentation. The AI-driven platform is trained on 70k public APIs and provides features like AI detection, cataloging, remediation, and best practices for data collection and storage. It aims to streamline API development, enhance performance, and improve security for APIs and applications.

Frame AI is a premier Streaming AI Platform powered by STAG, designed to provide proactive insights and tools for every team by continuously querying customer data to detect traits, track trends, and trigger workflows. The platform turns unstructured data into actionable insights, helping teams stay ahead of risks and opportunities. Frame AI's architecture autonomously queries customer data based on user objectives, activating inside existing business tools to provide real-time customer data. With features like enrichments, triggers, alerts, and insights, Frame AI enables better decisions faster by combining predictive signals in customer text into task-specific scores. The platform is suitable for marketing, CX, support, and product teams, offering real-time usability feedback, demographic and psychographic trait detection, and secure data handling. Frame AI is SOC 2 Type II certified and HIPAA compliant, with a team of AI experts leading the development of AI solutions for various organizations.

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.

Darktrace is a cybersecurity platform that leverages AI technology to provide proactive protection against cyber threats. It offers cloud-native AI security solutions for networks, emails, cloud environments, identity protection, and endpoint security. Darktrace's AI Analyst investigates alerts at the speed and scale of AI, mimicking human analyst behavior. The platform also includes services such as 24/7 expert support and incident management. Darktrace's AI is built on a unique approach where it learns from the organization's data to detect and respond to threats effectively. The platform caters to organizations of all sizes and industries, offering real-time detection and autonomous response to known and novel threats.

Orbital Insight is a leading geospatial data analytics platform that provides users with the ability to query the world with three basic parameters: WHAT type of activity? WHERE on earth? WHEN? The platform automates the most difficult steps of deriving insights, allowing you to answer many challenging geospatial questions. Orbital Insight's GO platform is designed for enterprise collaboration and transforms multiple geospatial data sources to accelerate and streamline team member's research, reporting, due diligence, and more.

Vizly is an AI-powered data analysis tool that empowers users to make the most of their data. It allows users to chat with their data, visualize insights, and perform complex analysis. Vizly supports various file formats like CSV, Excel, and JSON, making it versatile for different data sources. The tool is free to use for up to 10 messages per month and offers a student discount of 50%. Vizly is suitable for individuals, students, academics, and organizations looking to gain actionable insights from their data.

OpenBuckets is a web application designed to help users find and secure open buckets in cloud storage systems. The platform scans various cloud storage services to identify publicly accessible buckets, which may contain sensitive data. By detecting these open buckets, OpenBuckets aims to enhance data security and privacy for individuals and organizations. Users can easily search for open buckets and take necessary actions to secure their data, thereby mitigating the risk of unauthorized access and data breaches.

BigPanda is an AI-powered ITOps platform that helps teams gain efficiency, improve service quality, and reduce costs. It provides automated detection and alert intelligence, automated investigation and incident intelligence, automated remediation and workflow automation, and unified analytics and ready-to-use dashboards.

Sherpa.ai is a Federated Learning Platform that enables data collaborations without sharing data. It allows organizations to build and train models with sensitive data from various sources while preserving privacy and complying with regulations. The platform offers enterprise-grade privacy-compliant solutions for improving AI models and fostering collaborations in a secure manner. Sherpa.ai is trusted by global organizations to maximize the value of data and AI, improve results, and ensure regulatory compliance.

QeDatalab is a leading data science consulting and AI company offering a wide range of services such as software consulting, generative AI consulting, artificial intelligence services, cloud enablement & automation, AI-driven mobile app development, IoT & IIoT data consulting, digital services, AI product development, MLOps consulting, and more. The company specializes in providing AI-powered solutions for industries like healthcare, manufacturing, retail, and education, helping businesses leverage data for informed strategic decision-making and accurate predictions. QeDatalab's team of experts offers end-to-end services, customized solutions, and a trusted partnership to ensure client success.

AeroMegh is a drone data analytics platform that transforms drone data into actionable insights by ensuring seamless and secured integration. It offers an end-to-end stack for flying, capturing, processing, and analyzing drone data, making drone data analytics easy and efficient. AeroMegh provides solutions to various business sectors with patented services, enhancing existing hardware capabilities. The platform includes tools like AeroGCS KEA for drone mission planning, DroneNaksha for processing geo-tagged images, and PicStork for image analytics and machine learning model creation. AeroMegh is trusted by leading brands for its simplicity, security, and performance.

MacWhisper is a native macOS application that utilizes OpenAI's Whisper technology for transcribing audio files into text. It offers a user-friendly interface for recording, transcribing, and editing audio, making it suitable for various use cases such as transcribing meetings, lectures, interviews, and podcasts. The application is designed to protect user privacy by performing all transcriptions locally on the device, ensuring that no data leaves the user's machine.

PROTECTSTAR is an AI-powered cybersecurity application that offers Secure Erasure, Anti Spy, Antivirus AI, and Firewall AI features to protect users from cyber threats. With a focus on privacy and security, PROTECTSTAR aims to provide innovative products using Artificial Intelligence technology. The application has been trusted by over 7 million satisfied users globally and is known for its outstanding detection rate of 99.956%. PROTECTSTAR is committed to environmental sustainability and energy efficiency, as evidenced by its dark mode feature to reduce energy consumption and become CO2-neutral.

Giskard is an AI testing platform designed to help companies protect against biases, performance issues, and security risks in AI models. It offers automated detection of issues, compliance with regulations such as the EU AI Act, and unification of AI testing practices. Giskard streamlines the testing process, enhances collaboration between data scientists and business stakeholders, and provides tools for optimal model deployment.

The website offers content moderation and image analysis products using powerful APIs to automatically assess, filter, and moderate images, videos, and text. It provides features such as image moderation, video moderation, text moderation, AI image detection, and video anonymization. The application helps in detecting unwanted content, AI-generated images, and personal information in videos. It also offers tools to identify near-duplicates, spam, and abusive links, and prevent phishing and circumvention attempts. The platform is fast, scalable, accurate, easy to integrate, and privacy compliant, making it suitable for various industries like marketplaces, dating apps, and news platforms.

Freenome is a healthcare company that uses artificial intelligence and multiomics technology to detect cancer in its earliest stages through a simple blood draw. The company's mission is to make early cancer detection more accessible and affordable, and to improve the chances of successful treatment.

Freenome is a healthcare company that uses artificial intelligence and multiomics technology to detect cancer in its earliest stages through a simple blood draw. The company's mission is to make early cancer detection more accessible and affordable, and to improve the chances of successful treatment.

Invariant Analyzer is an open-source scanner designed for LLM-based AI agents to find bugs, vulnerabilities, and security threats. It scans agent execution traces to identify issues like looping behavior, data leaks, prompt injections, and unsafe code execution. The tool offers a library of built-in checkers, an expressive policy language, data flow analysis, real-time monitoring, and extensible architecture for custom checkers. It helps developers debug AI agents, scan for security violations, and prevent security issues and data breaches during runtime. The analyzer leverages deep contextual understanding and a purpose-built rule matching engine for security policy enforcement.

AgentOps is a toolkit for evaluating and developing robust and reliable AI agents. It provides benchmarks, observability, and replay analytics to help developers build better agents. AgentOps is open beta and can be signed up for here. Key features of AgentOps include: - Session replays in 3 lines of code: Initialize the AgentOps client and automatically get analytics on every LLM call. - Time travel debugging: (coming soon!) - Agent Arena: (coming soon!) - Callback handlers: AgentOps works seamlessly with applications built using Langchain and LlamaIndex.

Awesome LLM Security is a curated collection of tools, documents, and projects related to Large Language Model (LLM) security. It covers various aspects of LLM security including white-box, black-box, and backdoor attacks, defense mechanisms, platform security, and surveys. The repository provides resources for researchers and practitioners interested in understanding and safeguarding LLMs against adversarial attacks. It also includes a list of tools specifically designed for testing and enhancing LLM security.

Awesome GPT + Security is a curated list of awesome security tools, experimental case or other interesting things with LLM or GPT. It includes tools for integrated security, auditing, reconnaissance, offensive security, detecting security issues, preventing security breaches, social engineering, reverse engineering, investigating security incidents, fixing security vulnerabilities, assessing security posture, and more. The list also includes experimental cases, academic research, blogs, and fun projects related to GPT security. Additionally, it provides resources on GPT security standards, bypassing security policies, bug bounty programs, cracking GPT APIs, and plugin security.

AIL framework is a modular framework to analyze potential information leaks from unstructured data sources like pastes from Pastebin or similar services or unstructured data streams. AIL framework is flexible and can be extended to support other functionalities to mine or process sensitive information (e.g. data leak prevention).

AIL framework is a modular framework to analyze potential information leaks from unstructured data sources like pastes from Pastebin or similar services or unstructured data streams. AIL framework is flexible and can be extended to support other functionalities to mine or process sensitive information (e.g. data leak prevention).

Cleanlab helps you **clean** data and **lab** els by automatically detecting issues in a ML dataset. To facilitate **machine learning with messy, real-world data** , this data-centric AI package uses your _existing_ models to estimate dataset problems that can be fixed to train even _better_ models.

Evidently is an open-source Python library designed for evaluating, testing, and monitoring machine learning (ML) and large language model (LLM) powered systems. It offers a wide range of functionalities, including working with tabular, text data, and embeddings, supporting predictive and generative systems, providing over 100 built-in metrics for data drift detection and LLM evaluation, allowing for custom metrics and tests, enabling both offline evaluations and live monitoring, and offering an open architecture for easy data export and integration with existing tools. Users can utilize Evidently for one-off evaluations using Reports or Test Suites in Python, or opt for real-time monitoring through the Dashboard service.

MathPile is a generative AI tool designed for math, offering a diverse and high-quality math-centric corpus comprising about 9.5 billion tokens. It draws from various sources such as textbooks, arXiv, Wikipedia, ProofWiki, StackExchange, and web pages, catering to different educational levels and math competitions. The corpus is meticulously processed to ensure data quality, with extensive documentation and data contamination detection. MathPile aims to enhance mathematical reasoning abilities of language models.

Nixtla is a production-ready generative pretrained transformer for time series forecasting and anomaly detection. It can accurately predict various domains such as retail, electricity, finance, and IoT with just a few lines of code. TimeGPT introduces a paradigm shift with its standout performance, efficiency, and simplicity, making it accessible even to users with minimal coding experience. The model is based on self-attention and is independently trained on a vast time series dataset to minimize forecasting error. It offers features like zero-shot inference, fine-tuning, API access, adding exogenous variables, multiple series forecasting, custom loss function, cross-validation, prediction intervals, and handling irregular timestamps.

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.

This repository contains code and configurations for the LLM - Detect AI Generated Text competition. It includes setup instructions for hardware, software, dependencies, and datasets. The training section covers scripts and configurations for training LLM models, DeBERTa ranking models, and an embedding model. Text generation section details fine-tuning LLMs using the CLM objective on the PERSUADE corpus to generate student-like essays.

Guardrails is a Python framework that helps build reliable AI applications by performing two key functions: 1. Guardrails runs Input/Output Guards in your application that detect, quantify and mitigate the presence of specific types of risks. To look at the full suite of risks, check out Guardrails Hub. 2. Guardrails help you generate structured data from LLMs.

AITom is an open-source platform for AI-driven cellular electron cryo-tomography analysis. It is developed to process large amounts of Cryo-ET data, reconstruct, detect, classify, recover, and spatially model different cellular components using state-of-the-art machine learning approaches. The platform aims to automate cellular structure discovery and provide new insights into molecular biology and medical applications.

Cyclops is a toolkit for facilitating research and deployment of ML models for healthcare. It provides a few high-level APIs namely: data - Create datasets for training, inference and evaluation. We use the popular 🤗 datasets to efficiently load and slice different modalities of data models - Use common model implementations using scikit-learn and PyTorch tasks - Use common ML task formulations such as binary classification or multi-label classification on tabular, time-series and image data evaluate - Evaluate models on clinical prediction tasks monitor - Detect dataset shift relevant for clinical use cases report - Create model report cards for clinical ML models

Bugbug is a tool developed by Mozilla that leverages machine learning techniques to assist with bug and quality management, as well as other software engineering tasks like test selection and defect prediction. It provides various classifiers to suggest assignees, detect patches likely to be backed-out, classify bugs, assign product/components, distinguish between bugs and feature requests, detect bugs needing documentation, identify invalid issues, verify bugs needing QA, detect regressions, select relevant tests, track bugs, and more. Bugbug can be trained and tested using Python scripts, and it offers the ability to run model training tasks on Taskcluster. The project structure includes modules for data mining, bug/commit feature extraction, model implementations, NLP utilities, label handling, bug history playback, and GitHub issue retrieval.

Specialized LLM in computer security, acting as a CISO with 20 years of experience, providing precise, data-driven technical responses to enhance organizational security.

I'm designed to help You analyze any logs like Linux system logs, Windows logs, any security logs, access logs, error logs, etc. Please do not share information that You would like to keep private. The author does not collect or process any personal data.

An Object Detection chatbot assistant offering educational materials, code examples, and multilingual support.

I analyze cognitive biases in scenarios and thoughts, providing neutral, educational insights.

GPT used to classify prompts as valid inputs or injection attempts. Json output.

📖 Political speeches for patterns and biases.

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

Der AI Detektor GPT wird von Winston AI betrieben und wurde entwickelt, um AI-generierte Inhalte zu identifizieren. Es wurde entwickelt, um Ihnen zu helfen, die Verwendung von KI-Schreib-Chatbots wie ChatGPT, Claude und Bard zu erkennen.

Confirms image uploads without analysis or detail.

Mit KI gegen Kartelle

Compares and reports differences in text files

The most comprehensive guide to ML theory and applications.

Propagation Analysis over Graphs

Expert in detailed tweet analysis, focusing on sentiment and truth.

Checks if domains/emails are disposable using an API

Finance fact-checker with accuracy scoring, using sources like NerdWallet, Investopedia, BEA, and St. Louis Fed.

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Expert in medical imaging AI, adept in machine learning tools.

This is a demonstration of GPT Auth™, an authentication system designed to protect your customized GPT.

Provides expert guidance on signal processing in engineering projects.