Best AI tools for< generate security checklist >

SecCheck is a GPT-4 powered security checklist generator that helps developers identify and mitigate security risks in their code. It provides a comprehensive list of security checks that cover a wide range of programming languages and frameworks. SecCheck is easy to use and can be integrated into any development workflow. It is a valuable tool for developers of all levels who want to improve the security of their code.

Remy is an AI-powered platform designed to help organizations resolve product security risks early by automating the discovery of upcoming engineering work, performing automatic triage, and expediting design reviews. It offers features such as updating authentication methods, reducing back-and-forth communication, using AI-generated questions, providing clear metrics and audit trails, and enterprise-ready SSO for convenient logins. Remy's advantages include reducing cost, risk, and time for security design reviews, augmenting and scaling product security teams, automating review initiation, generating pertinent questions based on context, and offering insights for learning from past reviews. However, some disadvantages include the need for comprehensive documentation, potential limitations in threat modeling, and the tool not replacing security architects.

CYBER AI is a security report savant powered by DEPLOYH.AI that simplifies cybersecurity for businesses. It offers a range of features to help organizations understand, unlock, and uncover security threats, including security reports, databreach reports, logs, and threat hunting. With CYBER AI, businesses can gain a comprehensive view of their security posture and take proactive steps to mitigate risks.

Dataminr is a leading AI company that provides real-time event, risk, and threat detection. Its revolutionary real-time AI Platform discovers the earliest signals of events, risks, and threats from within public data. Dataminr's products deliver critical information first—so organizations can respond quickly and manage crises effectively.

Smaty.xyz is a comprehensive platform that provides a suite of tools for code generation and security auditing. With Smaty.xyz, developers can quickly and easily generate high-quality code in multiple programming languages, ensuring consistency and reducing development time. Additionally, Smaty.xyz offers robust security auditing capabilities, enabling developers to identify and address vulnerabilities in their code, mitigating risks and enhancing the overall security of their applications.

EnterGPT is an enterprise-grade AI platform with a focus on data privacy and collaboration. It offers a range of features to help businesses improve their productivity, including shared conversations, team and role-based access management, access to multiple AI models, document chat, prompt libraries, and integrations with existing workspaces. EnterGPT is committed to data privacy and security, and is registered and located in the EU.

Panda Video is a video hosting platform that offers a variety of AI-powered features to help businesses increase sales and improve security. These features include a mind map tool for visualizing video content, a quiz feature for creating interactive learning experiences, an AI-powered ebook feature for providing supplemental resources, automatic captioning, a search feature for quickly finding specific content within videos, and automatic dubbing for creating videos in multiple languages. Panda Video also offers a variety of other features, such as DRM protection to prevent piracy, smart autoplay to increase engagement, a customizable player appearance, Facebook Pixel integration for retargeting, and analytics to track video performance.

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.

Image Bear AI is an advanced image recognition tool that utilizes artificial intelligence to analyze and identify objects within images. The application is designed to assist users in various industries such as e-commerce, security, and healthcare by providing accurate and efficient image analysis capabilities. With its cutting-edge technology, Image Bear AI offers a user-friendly interface and fast processing speeds, making it a valuable tool for businesses looking to streamline their image recognition processes.

CookieChimp is an AI-powered Consent Management Platform (CMP) designed to help websites comply with cookie regulations such as GDPR, CCPA/CPRA, and VCDPA. It offers features like AI-enhanced cookie management, trust-centric consent collection, robust consent record keeping, and banner customization. With CookieChimp, businesses can automate cookie detection, categorization, and blocking, ensuring compliance and enhancing user trust.

Cape is an Enterprise AI platform that you can run anywhere, optimized for both the security and privacy of your data. CapeChat is an intuitive chat interface that enables easy use of multiple public and private LLMs. The CapeAPI offers a developer-friendly API including an integrated vector database and proprietary NER model for the redaction of confidential information. Cape Data Connectors allow you to work with all of your data. LLM-powered workflows to improve time to value from weeks to minutes.

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.

DocuSign is an electronic signature and contract lifecycle management company. It offers a suite of applications designed to help businesses of all sizes create, commit to, and manage agreements. DocuSign's Intelligent Agreement Management (IAM) platform leverages AI and integrates with existing business platforms to transform how businesses manage agreements. DocuSign's products and services include eSignature, contract lifecycle management, document generation, web forms, electronic notarization, multi-channel delivery, APIs, and platform services.

SectorFlow is a zero-code AI partner that helps businesses and teams elevate their productivity through chat-powered productivity, data insights, and secure AI chat for the workplace. With SectorFlow, users can handle requests, analyze data, and access leading language models through a user-friendly chat interface. The platform offers flexible deployment options, robust APIs, and enterprise-grade security, making it suitable for businesses of all sizes. SectorFlow's mission is to empower organizations to harness the power of AI responsibly and securely, enabling them to make informed decisions, save time, and boost efficiency.

CodeGPT is a comprehensive AI-powered platform that provides a suite of tools and services designed to enhance business operations and streamline coding processes. It offers a range of AI assistants, known as Copilots, Agents, or GPTs, that can be customized and integrated into various applications. These AI assistants can automate tasks, generate content, provide insights, and assist with coding, among other functions. CodeGPT also features a marketplace where users can explore and discover a wide selection of pre-built AI assistants tailored to specific tasks and industries. Additionally, the platform offers an API for advanced users to integrate AI capabilities into their own custom projects. With its focus on customization, flexibility, and ease of use, CodeGPT empowers businesses and individuals to leverage AI technology to improve efficiency, productivity, and innovation.

Odin AI is a comprehensive AI platform that offers a range of tools and features to simplify and automate various tasks. It provides solutions for brand compliance, custom templates, guardrails, knowledge graph, model fine-tuning, conversational AI, task automation, meeting note-taking, chatbot building, and more. Odin AI aims to enhance productivity, streamline workflows, and improve decision-making across different industries and use cases.

AskCyph™ LITE is a private, accessible, and personal AI chatbot that runs AI in your browser. It is a lite version of the full AskCyph™ offered by CypherChat®. AskCyph™ LITE generates experimental responses that may be inaccurate or offensive and do not represent the views of Cypher Tech Inc.

Glean is an AI-powered work assistant and enterprise search platform that enables teams to harness generative AI to make better decisions faster. It connects all company data, provides advanced personalization, and ensures retrieval of the most relevant information. Glean offers responsible AI solutions that scale to businesses, respecting permissions and providing secure, private, and fully referenceable answers. With turnkey deployment and a variety of platform tools, Glean helps teams move faster and be more productive.

Datagen is a platform that provides synthetic data for computer vision. Synthetic data is artificially generated data that can be used to train machine learning models. Datagen's data is generated using a variety of techniques, including 3D modeling, computer graphics, and machine learning. The company's data is used by a variety of industries, including automotive, security, smart office, fitness, cosmetics, and facial applications.

CaseMark is an AI-powered legal workflow platform that helps attorneys and paralegals automate repetitive tasks, such as summarizing depositions, reviewing contracts, and conducting legal research. CaseMark's platform is secure and private, and it integrates with over 2,000 back-office solutions. CaseMark is trusted by attorneys and paralegals around the world, and it is used by law firms of all sizes.

CISO Assistant is a tool that helps organizations manage their cybersecurity posture and compliance. It provides a centralized platform for managing security controls, threats, and risks. CISO Assistant also includes a library of pre-built frameworks and tools to help organizations quickly and easily implement best practices.

llama.cpp is a C++ implementation of LLaMA, a large language model from Meta. It provides a command-line interface for inference and can be used for a variety of tasks, including text generation, translation, and question answering. llama.cpp is highly optimized for performance and can be run on a variety of hardware, including CPUs, GPUs, and TPUs.

This competition is organized by Javier Rando and Florian Tramèr from the ETH AI Center and SPY Lab at ETH Zurich. The goal of the competition is to create a method that can detect universal backdoors in aligned language models. A universal backdoor is a secret suffix that, when appended to any prompt, enables the model to answer harmful instructions. The competition provides a set of poisoned generation models, a reward model that measures how safe a completion is, and a dataset with prompts to run experiments. Participants are encouraged to use novel methods for red-teaming, automated approaches with low human oversight, and interpretability tools to find the trojans. The best submissions will be offered the chance to present their work at an event during the SaTML 2024 conference and may be invited to co-author a publication summarizing the competition results.

The 'nlp-llms-resources' repository is a comprehensive resource list for Natural Language Processing (NLP) and Large Language Models (LLMs). It covers a wide range of topics including traditional NLP datasets, data acquisition, libraries for NLP, neural networks, sentiment analysis, optical character recognition, information extraction, semantics, topic modeling, multilingual NLP, domain-specific LLMs, vector databases, ethics, costing, books, courses, surveys, aggregators, newsletters, papers, conferences, and societies. The repository provides valuable information and resources for individuals interested in NLP and LLMs.

Analyze the following text from a github repository (name and readme text at end) . Then, generate a JSON object with the following keys and provide the corresponding information for each key, in lowercase letters: 'description' (detailed description of the repo, must be less than 400 words，Ensure that no line breaks and quotation marks.),'for_jobs' (List 5 jobs suitable for this tool,in lowercase letters), 'ai_keywords' (keywords of the tool,user may use those keyword to find the tool,in lowercase letters), 'for_tasks' (list of 5 specific tasks user can use this tool to do,in lowercase letters), 'answer' (in english languages)

AIShield Watchtower is a tool designed to fortify the security of AI/ML models and Jupyter notebooks by automating model and notebook discoveries, conducting vulnerability scans, and categorizing risks into 'low,' 'medium,' 'high,' and 'critical' levels. It supports scanning of public GitHub repositories, Hugging Face repositories, AWS S3 buckets, and local systems. The tool generates comprehensive reports, offers a user-friendly interface, and aligns with industry standards like OWASP, MITRE, and CWE. It aims to address the security blind spots surrounding Jupyter notebooks and AI models, providing organizations with a tailored approach to enhancing their security efforts.

**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.

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.

SalesGPT is an open-source AI agent designed for sales, utilizing context-awareness and LLMs to work across various communication channels like voice, email, and texting. It aims to enhance sales conversations by understanding the stage of the conversation and providing tools like product knowledge base to reduce errors. The agent can autonomously generate payment links, handle objections, and close sales. It also offers features like automated email communication, meeting scheduling, and integration with various LLMs for customization. SalesGPT is optimized for low latency in voice channels and ensures human supervision where necessary. The tool provides enterprise-grade security and supports LangSmith tracing for monitoring and evaluation of intelligent agents built on LLM frameworks.

doc-comments-ai is a tool designed to automatically generate code documentation using language models. It allows users to easily create documentation comment blocks for methods in various programming languages such as Python, Typescript, Javascript, Java, Rust, and more. The tool supports both OpenAI and local LLMs, ensuring data privacy and security. Users can generate documentation comments for methods in files, inline comments in method bodies, and choose from different models like GPT-3.5-Turbo, GPT-4, and Azure OpenAI. Additionally, the tool provides support for Treesitter integration and offers guidance on selecting the appropriate model for comprehensive documentation needs.

ZenGuard AI enables AI developers to integrate production-level, low-code LLM (Large Language Model) guardrails into their generative AI applications effortlessly. With ZenGuard AI, ensure your application operates within trusted boundaries, is protected from prompt injections, and maintains user privacy without compromising on performance.

Boxcars is a Ruby gem that enables users to create new systems with AI composability, incorporating concepts such as LLMs, Search, SQL, Rails Active Record, Vector Search, and more. It allows users to work with Boxcars, Trains, Prompts, Engines, and VectorStores to solve problems and generate text results. The gem is designed to be user-friendly for beginners and can be extended with custom concepts. Boxcars is actively seeking ways to enhance security measures to prevent malicious actions. Users can use Boxcars for tasks like running calculations, performing searches, generating Ruby code for math operations, and interacting with APIs like OpenAI, Anthropic, and Google SERP.

This Helm chart bootstraps an Airflow deployment on a Kubernetes cluster using the Helm package manager. The version of this chart does not correlate to any other component. Users should not expect feature parity between OSS airflow chart and the Astronomer airflow-chart for identical version numbers. To install this helm chart remotely (using helm 3) kubectl create namespace airflow helm repo add astronomer https://helm.astronomer.io helm install airflow --namespace airflow astronomer/airflow To install this repository from source sh kubectl create namespace airflow helm install --namespace airflow . Prerequisites: Kubernetes 1.12+ Helm 3.6+ PV provisioner support in the underlying infrastructure Installing the Chart: sh helm install --name my-release . The command deploys Airflow on the Kubernetes cluster in the default configuration. The Parameters section lists the parameters that can be configured during installation. Upgrading the Chart: First, look at the updating documentation to identify any backwards-incompatible changes. To upgrade the chart with the release name `my-release`: sh helm upgrade --name my-release . Uninstalling the Chart: To uninstall/delete the `my-release` deployment: sh helm delete my-release The command removes all the Kubernetes components associated with the chart and deletes the release. Updating DAGs: Bake DAGs in Docker image The recommended way to update your DAGs with this chart is to build a new docker image with the latest code (`docker build -t my-company/airflow:8a0da78 .`), push it to an accessible registry (`docker push my-company/airflow:8a0da78`), then update the Airflow pods with that image: sh helm upgrade my-release . --set images.airflow.repository=my-company/airflow --set images.airflow.tag=8a0da78 Docker Images: The Airflow image that are referenced as the default values in this chart are generated from this repository: https://github.com/astronomer/ap-airflow. Other non-airflow images used in this chart are generated from this repository: https://github.com/astronomer/ap-vendor. Parameters: The complete list of parameters supported by the community chart can be found on the Parameteres Reference page, and can be set under the `airflow` key in this chart. The following tables lists the configurable parameters of the Astronomer chart and their default values. | Parameter | Description | Default | | :----------------------------- | :-------------------------------------------------------------------------------------------------------- | :---------------------------- | | `ingress.enabled` | Enable Kubernetes Ingress support | `false` | | `ingress.acme` | Add acme annotations to Ingress object | `false` | | `ingress.tlsSecretName` | Name of secret that contains a TLS secret | `~` | | `ingress.webserverAnnotations` | Annotations added to Webserver Ingress object | `{}` | | `ingress.flowerAnnotations` | Annotations added to Flower Ingress object | `{}` | | `ingress.baseDomain` | Base domain for VHOSTs | `~` | | `ingress.auth.enabled` | Enable auth with Astronomer Platform | `true` | | `extraObjects` | Extra K8s Objects to deploy (these are passed through `tpl`). More about Extra Objects. | `[]` | | `sccEnabled` | Enable security context constraints required for OpenShift | `false` | | `authSidecar.enabled` | Enable authSidecar | `false` | | `authSidecar.repository` | The image for the auth sidecar proxy | `nginxinc/nginx-unprivileged` | | `authSidecar.tag` | The image tag for the auth sidecar proxy | `stable` | | `authSidecar.pullPolicy` | The K8s pullPolicy for the the auth sidecar proxy image | `IfNotPresent` | | `authSidecar.port` | The port the auth sidecar exposes | `8084` | | `gitSyncRelay.enabled` | Enables git sync relay feature. | `False` | | `gitSyncRelay.repo.url` | Upstream URL to the git repo to clone. | `~` | | `gitSyncRelay.repo.branch` | Branch of the upstream git repo to checkout. | `main` | | `gitSyncRelay.repo.depth` | How many revisions to check out. Leave as default `1` except in dev where history is needed. | `1` | | `gitSyncRelay.repo.wait` | Seconds to wait before pulling from the upstream remote. | `60` | | `gitSyncRelay.repo.subPath` | Path to the dags directory within the git repository. | `~` | Specify each parameter using the `--set key=value[,key=value]` argument to `helm install`. For example, sh helm install --name my-release --set executor=CeleryExecutor --set enablePodLaunching=false . Walkthrough using kind: Install kind, and create a cluster We recommend testing with Kubernetes 1.25+, example: sh kind create cluster --image kindest/node:v1.25.11 Confirm it's up: sh kubectl cluster-info --context kind-kind Add Astronomer's Helm repo sh helm repo add astronomer https://helm.astronomer.io helm repo update Create namespace + install the chart sh kubectl create namespace airflow helm install airflow -n airflow astronomer/airflow It may take a few minutes. Confirm the pods are up: sh kubectl get pods --all-namespaces helm list -n airflow Run `kubectl port-forward svc/airflow-webserver 8080:8080 -n airflow` to port-forward the Airflow UI to http://localhost:8080/ to confirm Airflow is working. Login as _admin_ and password _admin_. Build a Docker image from your DAGs: 1. Start a project using astro-cli, which will generate a Dockerfile, and load your DAGs in. You can test locally before pushing to kind with `astro airflow start`. `sh mkdir my-airflow-project && cd my-airflow-project astro dev init` 2. Then build the image: `sh docker build -t my-dags:0.0.1 .` 3. Load the image into kind: `sh kind load docker-image my-dags:0.0.1` 4. Upgrade Helm deployment: sh helm upgrade airflow -n airflow --set images.airflow.repository=my-dags --set images.airflow.tag=0.0.1 astronomer/airflow Extra Objects: This chart can deploy extra Kubernetes objects (assuming the role used by Helm can manage them). For Astronomer Cloud and Enterprise, the role permissions can be found in the Commander role. yaml extraObjects: - apiVersion: batch/v1beta1 kind: CronJob metadata: name: "{{ .Release.Name }}-somejob" spec: schedule: "*/10 * * * *" concurrencyPolicy: Forbid jobTemplate: spec: template: spec: containers: - name: myjob image: ubuntu command: - echo args: - hello restartPolicy: OnFailure Contributing: Check out our contributing guide! License: Apache 2.0 with Commons Clause

This framework generates fuzz targets for real-world `C`/`C++` projects with various Large Language Models (LLM) and benchmarks them via the `OSS-Fuzz` platform. It manages to successfully leverage LLMs to generate valid fuzz targets (which generate non-zero coverage increase) for 160 C/C++ projects. The maximum line coverage increase is 29% from the existing human-written targets.

STRIDE GPT is an AI-powered threat modelling tool that leverages Large Language Models (LLMs) to generate threat models and attack trees for a given application based on the STRIDE methodology. Users provide application details, such as the application type, authentication methods, and whether the application is internet-facing or processes sensitive data. The model then generates its output based on the provided information. It features a simple and user-friendly interface, supports multi-modal threat modelling, generates attack trees, suggests possible mitigations for identified threats, and does not store application details. STRIDE GPT can be accessed via OpenAI API, Azure OpenAI Service, Google AI API, or Mistral API. It is available as a Docker container image for easy deployment.

Awesome MLSecOps is a curated list of open-source tools, resources, and tutorials for MLSecOps (Machine Learning Security Operations). It includes a wide range of security tools and libraries for protecting machine learning models against adversarial attacks, as well as resources for AI security, data anonymization, model security, and more. The repository aims to provide a comprehensive collection of tools and information to help users secure their machine learning systems and infrastructure.

AI Runner is a multi-modal AI interface that allows users to run open-source large language models and AI image generators on their own hardware. The tool provides features such as voice-based chatbot conversations, text-to-speech, speech-to-text, vision-to-text, text generation with large language models, image generation capabilities, image manipulation tools, utility functions, and more. It aims to provide a stable and user-friendly experience with security updates, a new UI, and a streamlined installation process. The application is designed to run offline on users' hardware without relying on a web server, offering a smooth and responsive user experience.

Petals is a tool that allows users to run large language models at home in a BitTorrent-style manner. It enables fine-tuning and inference up to 10x faster than offloading. Users can generate text with distributed models like Llama 2, Falcon, and BLOOM, and fine-tune them for specific tasks directly from their desktop computer or Google Colab. Petals is a community-run system that relies on people sharing their GPUs to increase its capacity and offer a distributed network for hosting model layers.

The OpenAIApi Plugin provides access to the OpenAI API in Unreal Engine, allowing users to generate images, transcribe speech, and power NPCs using advanced AI models. It offers blueprint nodes for making API calls, setting parameters, and accessing completion values. Users can authenticate using an API key directly or as an environment variable. The plugin supports various tasks such as generating images, transcribing speech, and interacting with NPCs through chat endpoints.

AI-powered audit ally. Enhance cybersecurity effortlessly with intelligent, automated security analysis. Safe, swift, and smart.

Generate and explain regex patterns from your description, it support English and Chinese.

Based off of reddit thread r/scambait. Spam Jester is a role playing bot that engages with spam/scam messages to waste scammer's time with funny replys. Upload a spam message to generate a funny reply!

Creates secure, varied passwords and offers security tips.

I create ultra-secure, random passwords and offer concise security tips.

Answers Information Security questions using the CISSP OSG v9 and AIO v8

Generates UUIDs, ULIDs, and NanoIDs on request

Generates a UUID in a text code block for any request.

Your personal security tool

Enthusiastic assistant showcasing the latest GPT technologies with a focus on security.

Friendly creator of calm, imaginative narratives, mindful of AI security.

Generates TTX scenarios

Formal, technical expert in creating realistic, fictional IT logs. Contact: [email protected]

Pivots to UUIDs, generates one.

Safeguarding secrets with respectful, vigilant responses

Privacy expert generating tailored privacy policies. Note: this is not legal advice!

A cryptic, enigmatic GPT guarding a secret key

A bot that provides detailed cybersecurity threat intelligence.

Adversarial AI expert aiding in AI red teaming, informed by cutting-edge industry research (early dev)

Generates cybersecurity audit and penetration test specifications.