Best AI tools for< Detect Issues >

KELLS is an AI-powered personal dental companion that offers virtual dental services to make oral care more convenient, transparent, and affordable. It provides features such as AI Dental Scan, Dental Advisor, and Treatment Verification to ensure personalized care recommendations and expert-level dental advice. KELLS aims to reimagine oral care by leveraging AI technology to detect problems early, provide treatment verification, and connect users with licensed dentists for consultations. The platform is designed to empower users with clarity, confidence, and personalized care plans for maintaining and improving oral wellness.

unSkript is an AI-powered infrastructure health intelligence tool designed to ensure the health of your application infrastructure. It uses Generative AI and Intelligent Health Checks to proactively find, diagnose, and fix issues in your application infrastructure. With features like Proactive Health Checks, Generative AI based RCA, and Continuous Learning, unSkript helps streamline processes for cloud-operations teams and software teams. By leveraging AI technology, unSkript aims to minimize downtime, deliver real-time troubleshooting, and allow users to focus on strategic tasks.

Second is an AI-native enterprise codebase maintenance platform that offers automated migrations and upgrades for software engineering teams. It provides a seamless process for handling code migrations and upgrades, allowing teams to focus on building innovative software. With AI planning and execution agents, Second streamlines the code transformation process, enabling faster project completion and enhanced codebase intelligence. The platform prioritizes security and compliance, ensuring data protection and operational effectiveness. Second aims to revolutionize software engineering by automating routine tasks and empowering human engineers to drive productivity and innovation.

LangWatch is a monitoring and analytics tool for Generative AI (GenAI) solutions. It provides detailed evaluations of the faithfulness and relevancy of GenAI responses, coupled with user feedback insights. LangWatch is designed for both technical and non-technical users to collaborate and comment on improvements. With LangWatch, you can understand your users, detect issues, and improve your GenAI products.

Pulse is a world-class expert support tool for BigData stacks, specifically focusing on ensuring the stability and performance of Elasticsearch and OpenSearch clusters. It offers early issue detection, AI-generated insights, and expert support to optimize performance, reduce costs, and align with user needs. Pulse leverages AI for issue detection and root-cause analysis, complemented by real human expertise, making it a strategic ally in search cluster management.

LotseAI is an AI-powered program management tool designed to streamline projects, align teams, and enhance decision-making. It offers secure integrations with popular tools like Notion, Google Docs, Jira, Trello, Asana, Slack, and more. LotseAI provides features such as effortless information retrieval, seamless tool integration, AI-powered reporting & insights, and dynamic tools for dynamic leaders. It helps users free up time from manual tasks, stay ahead of potential roadblocks, and keep stakeholders informed and engaged.

Imagetwin is an AI-based software designed to detect integrity issues in figures of scientific articles, particularly in the life science field. It offers efficient and accurate detection of inappropriate manipulation, duplication, and plagiarism in various types of figures such as western blots, microscopy images, and light photography. The software is a valuable addition to the peer-review process, automatically detecting integrity issues and providing quick verification by reviewers while ensuring data privacy and security.

Blumo is an AI-powered platform for home cannabis cultivation, offering grow kits and a mobile app that provide personalized daily tasks and guidance for plant care. The platform includes features such as automatic issue detection, high-performance equipment, community support, and minimal daily involvement. Blumo aims to empower individuals to grow high-quality cannabis effortlessly at home with cutting-edge AI technology and comprehensive grow kits.

HypeAuditor is a 100% AI-Powered Influencer Marketing Platform that offers a comprehensive suite of tools for influencer marketing campaigns. With a database of over 168.7 million influencers, HypeAuditor provides features such as influencer discovery, campaign management, market analysis, and influencer analytics. The platform helps brands and agencies grow their business by increasing efficiency and control over influencer marketing strategies. HypeAuditor's AI technology enables users to analyze influencer audiences, performance, and detect fraud issues, providing valuable insights for successful influencer collaborations.

LogicMonitor is a cloud-based infrastructure monitoring platform that provides real-time insights and automation for comprehensive, seamless monitoring with agentless architecture. It offers a wide range of features including infrastructure monitoring, network monitoring, server monitoring, remote monitoring, virtual machine monitoring, SD-WAN monitoring, database monitoring, storage monitoring, configuration monitoring, cloud monitoring, container monitoring, AWS Monitoring, GCP Monitoring, Azure Monitoring, digital experience SaaS monitoring, website monitoring, APM, AIOPS, Dexda Integrations, security dashboards, and platform demo logs. LogicMonitor's AI-driven hybrid observability helps organizations simplify complex IT ecosystems, accelerate incident response, and thrive in the digital landscape.

AdminIQ is an AI-powered site reliability platform that helps businesses improve the reliability and performance of their websites and applications. It uses machine learning to analyze data from various sources, including application logs, metrics, and user behavior, to identify and resolve issues before they impact users. AdminIQ also provides a suite of tools to help businesses automate their site reliability processes, such as incident management, change management, and performance monitoring.

Inductor is a developer tool for evaluating, ensuring, and improving the quality of your LLM applications – both during development and in production. It provides a fantastic workflow for continuous testing and evaluation as you develop, so that you always know your LLM app’s quality. Systematically improve quality and cost-effectiveness by actionably understanding your LLM app’s behavior and quickly testing different app variants. Rigorously assess your LLM app’s behavior before you deploy, in order to ensure quality and cost-effectiveness when you’re live. Easily monitor your live traffic: detect and resolve issues, analyze usage in order to improve, and seamlessly feed back into your development process. Inductor makes it easy for engineering and other roles to collaborate: get critical human feedback from non-engineering stakeholders (e.g., PM, UX, or subject matter experts) to ensure that your LLM app is user-ready.

Giskard is a testing platform for AI models that helps protect companies against biases, performance, and security issues in AI models. It offers automated detection of performance, bias, and security issues, unifies AI testing practices, and ensures compliance with the EU AI Act. Giskard provides an open-source Python library for data scientists and an enterprise collaborative hub to control all AI risks in one place. It aims to address the shortcomings of current MLOps tools in handling AI risks and compliance.

The International Journal for Educational Integrity is an AI tool that focuses on publishing articles related to academic integrity, ethics, and plagiarism. It features original research articles, reviews, and thematic collections on topics such as machine-based plagiarism, contract cheating, and the impact of emergencies on educational integrity. The journal aims to address emerging threats to academic integrity and promote ethical practices in education.

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.

Emaildojo is an AI-driven email innovation hub that provides free and unique email tools to help users elevate their email game. With Emaildojo, users can generate catchy and innovative short-form content, prevent their emails from landing in spam, boost ROI by driving clicks from email inbox, detect, analyze, and fix email domain issues, and check, lookup, and validate their email identity instantly. Emaildojo is the perfect tool for email marketers who want to improve their email deliverability and engagement.

Metabob is an AI-powered code review tool that helps developers detect, explain, and fix coding problems. It utilizes proprietary graph neural networks to detect problems and LLMs to explain and resolve them, combining the best of both worlds. Metabob's AI is trained on millions of bug fixes performed by experienced developers, enabling it to detect complex problems that span across codebases and automatically generate fixes for them. It integrates with popular code hosting platforms such as GitHub, Bitbucket, Gitlab, and VS Code, and supports various programming languages including Python, Javascript, Typescript, Java, C++, and C.

KubeHelper is an AI-powered tool designed to reduce Kubernetes downtime by providing troubleshooting solutions and command searches. It seamlessly integrates with Slack, allowing users to interact with their Kubernetes cluster in plain English without the need to remember complex commands. With features like troubleshooting steps, command search, infrastructure management, scaling capabilities, and service disruption detection, KubeHelper aims to simplify Kubernetes operations and enhance system reliability.

Wasps is an AI code review tool that integrates seamlessly into VSCode, providing developers with a fast and efficient way to understand their codebase, detect and fix code issues using AI and Gitsecure. With Wasps, developers can identify and fix buggy & vulnerable code in minutes, receive clear and actionable feedback driven by deep analysis, and get recommendations for potential issues and improvements within their codebase. The tool allows developers to keep coding as usual while Wasps analyzes their code for them, making it easier to maintain code quality and keep bugs out of their code.

Jungle AI is an AI application that provides solutions to improve machine performance and uptime in industries such as wind, solar, manufacturing, and maritime. Their AI solutions offer real-time insights into assets' performance, increase production, prevent downtime, and simplify operations. With features like Canopy and Toucan, Jungle AI helps users prioritize issues, detect abnormal behaviors, and avoid costly downtime. The application is trusted by global teams and has been battle-tested on challenging datasets. Jungle AI's customers benefit from proactive capabilities, context-sensitive alarms, and industry-specific solutions.

Phospho is a text analytics platform for LLM apps. It helps you detect issues and extract insights from text messages of your users or your app. You can gather user feedback, measure success, and iterate on your app to create the best conversational experience for your users.

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.

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.

ShieldLM is a bilingual safety detector designed to detect safety issues in LLMs' generations. It aligns with human safety standards, supports customizable detection rules, and provides explanations for decisions. Outperforming strong baselines, ShieldLM is impressive across 4 test sets.

Giskard is an open-source Python library that automatically detects performance, bias & security issues in AI applications. The library covers LLM-based applications such as RAG agents, all the way to traditional ML models for tabular data.

Simulator Controller is a modular administration and controller application for Sim Racing, featuring a comprehensive plugin automation framework for external controller hardware. It includes voice chat capable Assistants like Virtual Race Engineer, Race Strategist, Race Spotter, and Driving Coach. The tool offers features for setup, strategy development, monitoring races, and more. Developed in AutoHotkey, it supports various simulation games and integrates with third-party applications for enhanced functionality.

TaskWeaver is a code-first agent framework designed for planning and executing data analytics tasks. It interprets user requests through code snippets, coordinates various plugins to execute tasks in a stateful manner, and preserves both chat history and code execution history. It supports rich data structures, customized algorithms, domain-specific knowledge incorporation, stateful execution, code verification, easy debugging, security considerations, and easy extension. TaskWeaver is easy to use with CLI and WebUI support, and it can be integrated as a library. It offers detailed documentation, demo examples, and citation guidelines.

The Amazon Transcribe Live Call Analytics (LCA) with Agent Assist Sample Solution is designed to help contact centers assess and optimize caller experiences in real time. It leverages Amazon machine learning services like Amazon Transcribe, Amazon Comprehend, and Amazon SageMaker to transcribe and extract insights from contact center audio. The solution provides real-time supervisor and agent assist features, integrates with existing contact centers, and offers a scalable, cost-effective approach to improve customer interactions. The end-to-end architecture includes features like live call transcription, call summarization, AI-powered agent assistance, and real-time analytics. The solution is event-driven, ensuring low latency and seamless processing flow from ingested speech to live webpage updates.

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.

Slips is a powerful endpoint behavioral intrusion prevention and detection system that uses machine learning to detect malicious behaviors in network traffic. It can work with network traffic in real-time, PCAP files, and network flows from tools like Suricata, Zeek/Bro, and Argus. Slips threat detection is based on machine learning models, threat intelligence feeds, and expert heuristics. It gathers evidence of malicious behavior and triggers alerts when enough evidence is accumulated. The tool is Python-based and supported on Linux and MacOS, with blocking features only on Linux. Slips relies on Zeek network analysis framework and Redis for interprocess communication. It offers a graphical user interface for easy monitoring and analysis.

CredSweeper is a tool designed to detect credentials like tokens, passwords, and API keys in directories or files. It helps users identify potential exposure of sensitive information by scanning lines, filtering, and utilizing an AI model. The tool reports lines containing possible credentials, their location, and the expected type of credential.

**Description:** PromptFuzz is an automated tool that generates high-quality fuzz drivers for libraries via a fuzz loop constructed on mutating LLMs' prompts. The fuzz loop of PromptFuzz aims to guide the mutation of LLMs' prompts to generate programs that cover more reachable code and explore complex API interrelationships, which are effective for fuzzing. **Features:** * **Multiply LLM support** : Supports the general LLMs: Codex, Inocder, ChatGPT, and GPT4 (Currently tested on ChatGPT). * **Context-based Prompt** : Construct LLM prompts with the automatically extracted library context. * **Powerful Sanitization** : The program's syntax, semantics, behavior, and coverage are thoroughly analyzed to sanitize the problematic programs. * **Prioritized Mutation** : Prioritizes mutating the library API combinations within LLM's prompts to explore complex interrelationships, guided by code coverage. * **Fuzz Driver Exploitation** : Infers API constraints using statistics and extends fixed API arguments to receive random bytes from fuzzers. * **Fuzz engine integration** : Integrates with grey-box fuzz engine: LibFuzzer. **Benefits:** * **High branch coverage:** The fuzz drivers generated by PromptFuzz achieved a branch coverage of 40.12% on the tested libraries, which is 1.61x greater than _OSS-Fuzz_ and 1.67x greater than _Hopper_. * **Bug detection:** PromptFuzz detected 33 valid security bugs from 49 unique crashes. * **Wide range of bugs:** The fuzz drivers generated by PromptFuzz can detect a wide range of bugs, most of which are security bugs. * **Unique bugs:** PromptFuzz detects uniquely interesting bugs that other fuzzers may miss. **Usage:** 1. Build the library using the provided build scripts. 2. Export the LLM API KEY if using ChatGPT or GPT4. 3. Generate fuzz drivers using the `fuzzer` command. 4. Run the fuzz drivers using the `harness` command. 5. Deduplicate and analyze the reported crashes. **Future Works:** * **Custom LLMs suport:** Support custom LLMs. * **Close-source libraries:** Apply PromptFuzz to close-source libraries by fine tuning LLMs on private code corpus. * **Performance** : Reduce the huge time cost required in erroneous program elimination.

AIDE (Advanced Intrusion Detection Environment) is a tool for monitoring file system changes. It can be used to detect unauthorized changes to monitored files and directories. AIDE was written to be a simple and free alternative to Tripwire. Features currently included in AIDE are as follows: o File attributes monitored: permissions, inode, user, group file size, mtime, atime, ctime, links and growing size. o Checksums and hashes supported: SHA1, MD5, RMD160, and TIGER. CRC32, HAVAL and GOST if Mhash support is compiled in. o Plain text configuration files and database for simplicity. o Rules, variables and macros that can be customized to local site or system policies. o Powerful regular expression support to selectively include or exclude files and directories to be monitored. o gzip database compression if zlib support is compiled in. o Free software licensed under the GNU General Public License v2.

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, ...

bumpgen is a tool designed to automatically upgrade TypeScript / TSX dependencies and make necessary code changes to handle any breaking issues that may arise. It uses an abstract syntax tree to analyze code relationships, type definitions for external methods, and a plan graph DAG to execute changes in the correct order. The tool is currently limited to TypeScript and TSX but plans to support other strongly typed languages in the future. It aims to simplify the process of upgrading dependencies and handling code changes caused by updates.

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.

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.

LangWatch is a monitoring and analytics platform designed to track, visualize, and analyze interactions with Large Language Models (LLMs). It offers real-time telemetry to optimize LLM cost and latency, a user-friendly interface for deep insights into LLM behavior, user analytics for engagement metrics, detailed debugging capabilities, and guardrails to monitor LLM outputs for issues like PII leaks and toxic language. The platform supports OpenAI and LangChain integrations, simplifying the process of tracing LLM calls and generating API keys for usage. LangWatch also provides documentation for easy integration and self-hosting options for interested users.

XR Animator is a video/webcam-based AI motion capture application designed for VTubing and the metaverse era. It uses machine learning solutions to detect 3D poses from a live webcam video, driving a 3D avatar as if controlled by the user's body. It supports full-body AI motion tracking, face tracking, and various XR/3D purposes. The tool can be used for VTubing, recording mocap motion, exporting motions to different formats, customizing backgrounds and scenes, and animating 3D models in other applications. It also supports AR on Android Chrome browser, AR selfie feature, and has relatively low system requirements for wide device compatibility.

python-sc2 is an easy-to-use library for writing AI Bots for StarCraft II in Python 3. It aims for simplicity and ease of use while providing both high and low level abstractions. The library covers only the raw scripted interface and intends to help new bot authors with added functions. Users can install the library using pip and need a StarCraft II executable to run bots. The API configuration options allow users to customize bot behavior and performance. The community provides support through Discord servers, and users can contribute to the project by creating new issues or pull requests following style guidelines.

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.

Monitoring tools expert with brief responses and guiding hints.

Detect logical fallacies and lapses in critical thinking to help avoid misinformation in the style of Socrates

AI Detector GPT is powered by Winston AI and created to help identify AI generated content. It is designed to help you detect use of AI Writing Chatbots such as ChatGPT, Claude and Bard and maintain integrity in academia and publishing. Winston AI is the most trusted AI content detector.

I help detect food allergies by analyzing eating habits.

Plagiarism Checker GPT is powered by Winston AI and created to help identify plagiarized content. It is designed to help you detect instances of plagiarism and maintain integrity in academia and publishing. Winston AI is the most trusted AI and Plagiarism Checker.

I find logical fallacies in texts.

AI content analysis expert for detecting AI authorship.

Detects and measures information credibility. Provides a "BS Score" (0-100) based on content analysis for misinformation signs, including factual inaccuracies and sensationalist language. Real-time feedback.

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

A virtual SOC analyst aiding in incident response.

To assist individuals seeking to learn about or work with Microsoft's Defender for Endpoint. I provide detailed explanations, step-by-step guides, troubleshooting advice, cybersecurity best practices, and demonstrations, all specifically tailored to Microsoft Defender for Endpoint.

Mit KI gegen Kartelle

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

Spam expert with comprehensive scam detection and education.

it is a meticulously crafted arsenal of knowledge, insights, and guidelines that is shaped to empower organizations in crafting, enhancing, and refining their cybersecurity defenses

I'm PhishCatcher, an expert in identifying phishing attempts.

A tool to help you decide if a website is part of a PBN or link network, created solely for link building. >> Get in touch with Gareth if you need a Freelance SEO for link building <<

I can guess your emotions! Tell me "Hi"

Expert på att hantera desinformation och misinformation