Alternatives to Checkov

Enhance your productivity by ensuring only high-quality code is released, as SonarQube Cloud (previously known as SonarCloud) seamlessly evaluates branches and enriches pull requests with insights. Identify subtle bugs to avoid unpredictable behavior that could affect users and address security vulnerabilities that threaten your application while gaining knowledge of application security through the Security Hotspots feature. Within moments, you can begin using the platform right where your code resides, benefiting from immediate access to the most current features and updates. Project dashboards provide vital information on code quality and readiness for release, keeping both teams and stakeholders in the loop. Showcase project badges to demonstrate your commitment to excellence within your communities. Code quality and security are essential across your entire technology stack, encompassing both front-end and back-end development. That’s why we support a wide range of 24 programming languages, including Python, Java, C++, and many more. The demand for transparency in coding practices is on the rise, and we invite you to be a part of this movement; it's completely free for open-source projects, making it an accessible opportunity for all developers! Plus, by participating, you contribute to a larger community dedicated to improving software quality.

A comprehensive solution for ensuring security, governance, and pipeline integrity across all development tools and infrastructure is essential. Strengthen your source control management systems (SCM) by detecting secrets and leaks, while also safeguarding against code tampering. Examine your CI/CD configurations and Infrastructure-as-Code (IaC) for any security vulnerabilities or misconfigurations. Track any discrepancies between production systems’ IaC setups to thwart unauthorized code alterations. It's crucial to prevent developers from accidently making proprietary code public in repositories; this includes fingerprinting code assets and proactively identifying potential exposure on external sites. Maintain an inventory of assets, enforce stringent security policies, and easily showcase compliance throughout your DevOps ecosystem, whether it operates in the cloud or on-premises. Regularly scan IaC files for security flaws, ensuring alignment between specified IaC configurations and the actual infrastructure in use. Each commit or pull/merge request should be scrutinized for hard-coded secrets to prevent them from being merged into the master branch across all SCM platforms and various programming languages, thereby enhancing overall security measures. Implementing these strategies will create a robust security framework that supports both development agility and compliance.

Prevent misconfigurations rather than halting deployments through automated policy enforcement for Infrastructure as Code. Implement policies designed to avert misconfigurations across platforms like Kubernetes, Terraform, and CloudFormation, thereby ensuring application stability with automated testing for policy infringements or potential issues that could disrupt services or negatively impact performance. Transition to cloud-native infrastructure with reduced risk by utilizing pre-defined policies, or tailor your own to fulfill unique needs. Concentrate on enhancing your applications instead of getting bogged down by infrastructure management by enforcing standard policies applicable to various infrastructure orchestrators. Streamline the process by removing the necessity for manual code reviews for infrastructure-as-code adjustments, as checks are automatically conducted with each pull request. Maintain your current DevOps practices with a policy enforcement system that harmonizes effortlessly with your existing source control and CI/CD frameworks, allowing for a more efficient and responsive development cycle. This approach not only enhances productivity but also fosters a culture of continuous improvement and reliability in software deployment.

Trivy serves as a robust and adaptable security scanning tool. It features a variety of scanners designed to identify security vulnerabilities and the various targets where these issues may arise. This tool is compatible with a wide array of programming languages, operating systems, and platforms, making it highly accessible. You can find Trivy through numerous common distribution channels, enhancing its reach. Additionally, Trivy seamlessly integrates with many widely-used platforms and applications, allowing for effortless incorporation of security measures into your workflow. With Trivy, users can detect vulnerabilities, misconfigurations, secrets, and SBOM across diverse environments such as containers, Kubernetes, code repositories, and cloud infrastructures, ensuring comprehensive security coverage for their projects. Its extensive capabilities make it an invaluable asset for maintaining security in modern development practices.

Infrabase serves as an AI-driven DevOps agent, continuously monitoring GitHub's infrastructure-as-code (IaC) to identify and flag potential security threats, cost discrepancies, and policy breaches before they enter production. It seamlessly integrates with GitHub through an application that indexes repositories securely without retaining raw code, leveraging advanced language models like Claude, Gemini, or OpenAI to create easy-to-understand review checklists. Developers have the flexibility to establish personalized guardrails using Markdown-based guidelines rather than navigating complex policy languages. With every pull request, Infrabase offers insights into blast radius, assigns severity scores, and can implement merge-blocking actions for any critical issues detected. Additionally, it brings attention to any deviations from established coding standards and helps reveal hidden expenses or misconfigured resources, ultimately enhancing the overall security and efficiency of the development process. By providing these comprehensive features, Infrabase empowers developers to maintain high-quality code while ensuring robust operational integrity.

BoostSecurity® facilitates the prompt detection and resolution of security flaws at DevOps speed, while maintaining the ongoing integrity of the software supply chain from the initial coding phase to production. Within mere minutes, you can gain insights into security vulnerabilities present in your code, as well as misconfigurations within the cloud and CI/CD pipeline. Address security issues directly as you code, during pull requests, ensuring they do not infiltrate production environments. Establish and manage policies uniformly and persistently across your code, cloud, and CI/CD practices to thwart the recurrence of specific vulnerability types. Streamline your toolkit and dashboard clutter with a unified control plane that provides reliable insights into the risks associated with your software supply chain. Foster and enhance collaboration between developers and security teams to implement a scalable DevSecOps framework, characterized by high accuracy and minimal friction through automated SaaS solutions. This holistic approach not only secures your software development process but also cultivates a culture of shared responsibility for security among all team members.

Kubernetes is an open-source platform that provides developers and DevOps with an end-to-end security solution. This includes security compliance, risk analysis, security compliance and RBAC visualizer. It also scans images for vulnerabilities. Kubescape scans K8s clusters, Kubernetes manifest files (YAML files, and HELM charts), code repositories, container registries and images, detecting misconfigurations according to multiple frameworks (such as the NSA-CISA, MITRE ATT&CK®), finding software vulnerabilities, and showing RBAC (role-based-access-control) violations at early stages of the CI/CD pipeline. It instantly calculates risk scores and displays risk trends over time. Kubescape is one of the most popular Kubernetes security compliance tools for developers. Its easy-to-use interface, flexible output formats and automated scanning capabilities have made Kubescape one of the fastest growing Kubernetes tools. This has saved Kubernetes admins and users precious time, effort and resources.

Mitigate risks associated with internet exposure, unencrypted information, configuration errors, the misuse of secrets, and other vulnerabilities before they make their way into code repositories and production environments. The platform offered by Concourse Labs seamlessly integrates with current CI/CD workflows to alleviate security and compliance hurdles, enabling developers to deploy code both swiftly and securely. Utilizing agentless technology, it continuously assesses cloud activities while automatically checking for deviations, threats, misconfigurations, and improper usage. Obtain actionable and auditable insights in mere seconds instead of waiting weeks, empowering developers to receive immediate, targeted cloud-native recommendations that allow them to address violations independently, all while using their preferred development tools. Furthermore, compliance checks on fixes are carried out automatically to ensure adherence to policies. This system also validates intricate expressions and identifies potentially dangerous false negatives by revealing violations that may be concealed within complex nested stacks. By leveraging this proactive approach, organizations can enhance their overall security posture while streamlining their development processes.

For those utilizing GitHub Actions in their CI/CD processes and concerned about the security of their pipelines, the StepSecurity platform offers a robust solution. It allows for the implementation of network egress controls and enhances the security of CI/CD infrastructures specifically for GitHub Actions runners. By identifying potential CI/CD risks and detecting misconfigurations in GitHub Actions, users can safeguard their workflows. Additionally, the platform enables the standardization of CI/CD pipeline as code files through automated pull requests, streamlining the process. StepSecurity also provides runtime security measures to mitigate threats such as the SolarWinds and Codecov attacks by effectively blocking egress traffic using an allowlist approach. Users receive immediate, contextual insights into network and file events for all workflow executions, enabling better monitoring and response. The capability to control network egress traffic is refined through granular job-level and default cluster-wide policies, enhancing overall security. It is important to note that many GitHub Actions may lack proper maintenance, posing significant risks. While enterprises often opt to fork these Actions, the ongoing upkeep can be costly. By delegating the responsibilities of reviewing, forking, and maintaining these Actions to StepSecurity, businesses can achieve considerable reductions in risk while also saving valuable time and resources. This partnership not only enhances security but also allows teams to focus on innovation rather than on managing outdated tools.

Eliminate the harm caused by mismanagement of resources from the start. With Resourcely, you can establish secure and compliant resource templates right away, enabling your development team to focus on innovation rather than navigating complex cloud environments. It's noteworthy that a staggering 99% of cloud security incidents stem from avoidable errors or misconfigurations made by users. Your team deserves to harness the power of the cloud without the burden of deciphering its intricacies. Prepare to enhance your control over cloud resources. Begin by defining templates and patterns that prioritize security and compliance from the outset. Monitor resource ownership and streamline approval processes through automation. Resourcely provides an intuitive policy-as-code interface embraced by platform, DevOps, and security teams alike to enforce necessary guidelines. Additionally, we offer tailor-made collections of standards and policies designed to fulfill various security, compliance, and reliability objectives, ensuring your cloud operations remain robust and secure. Ultimately, this approach empowers your team to operate with confidence and efficiency in the cloud landscape.

Kyverno serves as a policy management engine tailored for Kubernetes environments. It enables users to handle policies as Kubernetes resources without the need for a new programming language, allowing for the use of standard tools such as kubectl, Git, and Kustomize to oversee policy management. With Kyverno, users can validate, mutate, and generate Kubernetes resources while also safeguarding the supply chain of OCI images. The CLI tool provided by Kyverno is particularly useful for testing policies and validating resources within a CI/CD pipeline. Additionally, Kyverno empowers cluster administrators to independently manage configurations specific to different environments, while promoting the enforcement of best practices throughout their clusters. Beyond just managing configurations, Kyverno can also examine existing workloads for adherence to best practices or actively enforce compliance by blocking or altering non-conforming API requests. It is capable of using admission controls to prevent the deployment of non-compliant resources and can report any policy violations discovered during these operations. This functionality enhances the overall security and reliability of Kubernetes deployments.

Summarize the changes in pull requests effectively to enable the team to grasp their significance swiftly. Automatically detect and resolve code quality concerns and anti-patterns across more than 30 programming languages. Examine each code modification for vulnerabilities identified by OWASP, CWE, SANS, and NIST, and apply necessary fixes. Assess every pull request against a comprehensive set of over 10,000 policies to uncover infrastructure as code problems and evaluate their implications. Safeguard sensitive information within your codebase, including API keys, tokens, and other confidential data. Highlight potential issues in code logic and data structures while providing insights into their effects. Access a Code Health Dashboard that offers immediate visibility into the overall health of your code and infrastructure. Pinpoint critical issues, comprehend their significance, and implement fixes promptly. Benefit from weekly executive summaries detailing new issues that have been discovered, resolved, or are still pending. Serving as your coding companion, this tool assists in identifying and automatically rectifying over 5,000 code quality and security vulnerabilities, all without requiring you to leave your integrated development environment. This seamless integration ensures that developers can maintain productivity while enhancing code safety and quality.

Adaptive6 is an innovative platform designed for cloud cost governance and optimization, assisting organizations in identifying, fixing, and averting waste in their cloud infrastructure and coding practices. By continuously monitoring multi-cloud environments, PaaS, and Infrastructure-as-Code setups, it reveals numerous inefficiencies, including hidden "shadow waste" that often goes unnoticed alongside the more apparent cost drivers. The platform equips engineers with in-depth context, AI-generated code corrections, remediation scripts, and automated pull requests to streamline the problem-solving process. Moreover, it integrates shift-left cost control measures into CI/CD pipelines, actively signaling and preventing inefficiencies prior to deployment. Automation of remediation workflows is also a key feature, as it pinpoints resource owners and generates tickets or change requests accompanied by technical advice. With its comprehensive dashboard providing enhanced visibility, recommendations for optimizing over-provisioned cloud and Kubernetes resources, policy enforcement capabilities, and tools that foster cultural accountability, Adaptive6 empowers teams to effectively lower their cloud expenditures while promoting sustainable practices. Ultimately, this platform not only enhances financial efficiency but also contributes to a more responsible approach to cloud resource utilization.

CloudXray is a solution for scanning cloud workloads that functions in two modes: a basic mode for identifying misconfigurations and an advanced mode for comprehensive scanning that includes malware detection, OS vulnerabilities, and misconfiguration analysis. Its architecture features a centralized orchestrator situated in a single region, complemented by distributed scanners that extend coverage to all identified regions, ensuring compatibility with both AWS and GCP platforms. By employing an agentless methodology, it examines workloads and volumes throughout your cloud account for threats such as malware, CVEs, and policy violations. The solution dynamically provisions scanning instances as needed, integrates through roles and APIs, and ensures ongoing monitoring of cloud resources without the necessity for persistent agents. With support for quick deployment, CloudXray is tailored for scalable, multi-region cloud environments. It is specifically crafted to assist organizations in upholding a secure framework across compute instances, storage volumes, and operating system layers by merging configuration assessments with vulnerability detection and additional features. This comprehensive approach not only enhances security but also streamlines compliance with industry regulations.

Velocity provides detailed, contextual analytics that enable engineering leaders to help their team members, resolve team roadblocks and streamline engineering processes. Engineering leaders can get actionable metrics. Velocity transforms data from commits to pull requests into the insights that you need to make lasting improvements in your team's productivity. Quality: Automated code reviews for test coverage, maintainability, and more so you can save time and merge with confidence. Automated code review comments for pull requests. Our 10-point technical debt assessment gives you real-time feedback so that you can focus on the important things in your code review discussions. You can get perfect coverage every time. Check coverage line-by-line within diffs. Never merge code again without passing sufficient tests. You can quickly identify files that are frequently modified and have poor coverage or maintainability issues. Each day, track your progress towards measurable goals.

Our innovative, patent-pending graph-based technology facilitates the proactive identification and resolution of both recognized and unidentified threats in your systems. This includes handling misconfigurations, inadequate configurations, overly permissive policies, and Common Vulnerabilities and Exposures (CVEs), allowing your teams to effectively tackle and eradicate all potential risks to your cloud infrastructure. By prioritizing the most urgent concerns, your team can concentrate on the most critical tasks at hand. Furthermore, our root cause analysis significantly minimizes the volume of alerts and overall findings, ensuring that teams can focus on the most essential issues. Safeguard your cloud ecosystem while progressing in your digital transformation journey. The solution provides a correlation between the Kubernetes and cloud layers, integrating effortlessly with your current workflows. Additionally, you can obtain a quick visual evaluation of your cloud environment utilizing established cloud vendor APIs, tracing from the infrastructure level all the way down to individual microservices, thereby enhancing your operational efficiency. This comprehensive approach not only protects your assets but also streamlines your response efforts.

GitHub Advanced Security empowers developers and security professionals to collaborate effectively in addressing security debt while preventing new vulnerabilities from entering code through features such as AI-driven remediation, static analysis, secret scanning, and software composition analysis. With Copilot Autofix, code scanning identifies vulnerabilities, offers contextual insights, and proposes solutions within pull requests as well as for past alerts, allowing teams to manage their application security debt more efficiently. Additionally, targeted security campaigns can produce autofixes for up to 1,000 alerts simultaneously, significantly lowering the susceptibility to application vulnerabilities and zero-day exploits. The secret scanning feature, equipped with push protection, safeguards over 200 types of tokens and patterns from a diverse array of more than 150 service providers, including hard-to-detect secrets like passwords and personally identifiable information. Backed by a community of over 100 million developers and security experts, GitHub Advanced Security delivers the necessary automation and insights to help teams release more secure software on time, ultimately fostering greater trust in the applications they build. This comprehensive approach not only enhances security but also streamlines workflows, making it easier for teams to prioritize and address potential threats.

Quickly identify all of your assets and map your networks using rapid, secure scans that do not require credentials and operate from a single lightweight agent, eliminating the necessity for server installations. Reveal instances of policy violations, visualize IP allocations, pinpoint compliance issues, emphasize misconfigurations, and uncover security vulnerabilities. Utilize recurring scans to monitor asset alterations, detect newly added assets, and alert you to offline assets, all supported by integrated notifications. You can easily import, export, script, schedule, integrate, merge, and synchronize your asset inventory with current systems. Rumble operates swiftly and uncovers assets without requiring special access or credentials. With just one agent, an entire enterprise can be assessed, or multiple agents can be deployed to minimize cross-site traffic. Discovering networks of any size can be accomplished in a fraction of the time compared to traditional tools, making it a more efficient choice for asset management. Furthermore, this streamlined process allows for greater flexibility and responsiveness in addressing network security needs.

Kubernetes, cloud, and container security that closes loop from source to finish Find vulnerabilities and prioritize them; detect and respond appropriately to threats and anomalies; manage configurations, permissions and compliance. All activity across cloud, containers, and hosts can be viewed. Runtime intelligence can be used to prioritize security alerts, and eliminate guesswork. Guided remediation using a simple pull request at source can reduce time to resolution. Any activity in any app or service, by any user, across clouds, containers and hosts, can be viewed. Risk Spotlight can reduce vulnerability noise by up 95% with runtime context. ToDo allows you to prioritize the security issues that are most urgent. Map production misconfigurations and excessive privileges to infrastructure as code (IaC), manifest. A guided remediation workflow opens a pull request directly at source.

Minimize the duration required for auditing your environments by consolidating all compliance information into one centralized location. Establish guardrails across your resources to maintain cloud compliance, prevent misconfigurations, and ensure consistent governance of resources. Streamline external approval processes by embedding policies directly into the Azure platform, thereby enhancing the productivity of your developers. Additionally, manage and optimize your cloud expenditures to maximize the return on your investment. By taking these steps, you can create a more efficient cloud environment that not only saves time but also improves overall operational effectiveness.

GitAuto is an AI-driven coding assistant that seamlessly connects with GitHub (and optionally Jira) to assess backlog tickets or issues, evaluate your repository's structure and code, and autonomously create and review pull requests, usually completing this process in around three minutes per ticket. It is capable of managing bug fixes, implementing feature requests, and enhancing test coverage. You can activate it through specific issue labels or selections on a dashboard, allowing it to write code or unit tests, initiate a pull request, execute GitHub Actions, and continuously rectify any failing tests until they succeed. Supporting ten programming languages, such as Python, Go, Rust, and Java, GitAuto is free for basic use, with paid plans available for those requiring a greater volume of pull requests and additional enterprise functionalities. Adhering to a strict zero data-retention policy, it processes your code through OpenAI without retaining it. Built to speed up delivery by allowing teams to address technical debt and backlogs without the need for extensive engineering resources, GitAuto functions as an AI backend engineer that drafts, tests, and refines code, thereby significantly enhancing development efficiency. This innovative tool not only streamlines workflows but also empowers teams to focus on more strategic tasks.

Access immediate code evaluations from qualified engineers, augmented by AI technology. Each time you initiate a pull request, you can seamlessly integrate senior engineers into your workflow. Accelerate the delivery of superior, secure code with the support of AI-driven code assessments. Whether your development team comprises 5 or 5,000 members, PullRequest will elevate your code review system and tailor it to suit your requirements. Our expert reviewers assist in identifying security threats, uncovering concealed bugs, and addressing performance challenges prior to deployment. This entire process is integrated into your current tools for maximum efficiency. Our seasoned reviewers, bolstered by AI analysis, can target critical security vulnerabilities effectively. We employ advanced static analysis that incorporates both open-source resources and proprietary AI, providing reviewers with enhanced insights. Allow your senior personnel to focus on strategic initiatives while making substantial strides in resolving issues and refining code, even as other team members continue to develop. With this innovative approach, your team can maintain productivity while ensuring code quality.

CodeScene's powerful features go beyond traditional code analysis. Visualize and evaluate all the factors that influence software delivery and quality, not just the code itself. Make informed, data-driven decisions based on CodeScene’s actionable insights and recommendations. CodeScene guides developers and technical leaders to: - Get a holistic overview and evolution of your software system in one single dashboard. - Identify, prioritize, and tackle technical debt based on return on investment. - Maintain a healthy codebase with powerful CodeHealth™ Metrics, spend less time on rework and more time on innovation. - Seamlessly integrate with Pull Requests and editors, get actionable code reviews and refactoring recommendations. - Set Improvement goals and quality gates for teams to work towards while monitoring the progress. - Support retrospectives by identifying areas for improvement. - Benchmark performance against personalized trends. - Understand the social side of the code, measure socio-technical factors like key personnel dependencies, knowledge sharing and inter-team coordination.

Software projects are often complex. The law of entropy makes it more complicated. Developers easily get lost in the dependency network, and they tend to create designs that don't stand the test of time. Softagram automatically illustrates how dependencies change. Automated integration allows you to decorate pull requsts in GitHub, Bitbucket and Azure DevOps with a dependency report. This report pops up as a comment within the tool you use. The analysis also includes other aspects, such as open source licenses or quality. You can customize it to meet your needs. Softagram Desktop app, which is designed for advanced software understanding as well as auditing software usage, can also be used to efficiently perform software audits.

Achieving seamless visibility across varied multi-cloud environments through a unified interface is essential. This approach minimizes the risk of cloud security misconfigurations that can lead to data exposure and compliance breaches. By leveraging machine learning, organizations can maintain a proactive security posture, enabling them to detect anomalies more effectively. As businesses increasingly migrate to the cloud, they face evolving threats that complicate their cybersecurity efforts. Concurrently, security teams must transition from being viewed as obstacles to becoming facilitators of business growth. Gain insights from experienced professionals who provide practical examples on balancing rapid cloud adoption with robust security measures. Additionally, implementing cloud-native governance for microsegmentation policies through cloud-native firewalls and security mechanisms is crucial. This includes orchestrating responses to compliance failures while managing the governance of the desired-state security policies to ensure comprehensive protection. Ultimately, a strategic approach to cloud security can empower organizations to thrive in a dynamic digital landscape.

eXplain is a robust tool developed by PKS Software GmbH for code analysis and the assessment of legacy systems, specifically aimed at performing in-depth evaluations of legacy applications on mainframe platforms like IBM i (AS/400) and IBM Z. This software allows organizations to gain insights into their software's contents, structural integrity, and identifies components that may be retained, improved, or phased out. By importing existing source code into a standalone "eXplain server," the tool eliminates the necessity for installations on the host system, utilizing sophisticated parsers to scrutinize programming languages such as COBOL, PL/I, Assembler, Natural, RPG, and JCL, along with information pertaining to databases like Db2, Adabas, and IMS, as well as job schedulers and transaction monitors. eXplain creates a centralized repository that functions as a knowledge hub, from which it can produce cross-language dependency graphs, data-flow diagrams, interface evaluations, groupings of related modules, and comprehensive reports on object and resource usage. This enables users to visualize relationships within the code, enhancing their understanding of the software landscape. Ultimately, eXplain empowers organizations to make informed decisions regarding the future of their legacy systems.

Cloudnosys is an AI-powered cloud security, compliance, and automation platform for AWS, Azure, and GCP. It enables organizations to secure their multi-cloud environments through continuous monitoring, intelligent threat detection, and automated remediation of security and compliance risks. The platform scans cloud infrastructure across services such as IAM, VPC, S3, CloudTrail, and GCP-native components to detect misconfigurations, vulnerabilities, and policy violations in real time. Cloudnosys supports key regulatory and industry frameworks including PCI-DSS, HIPAA, FISMA, and AWS CIS Benchmarks, helping organizations meet compliance requirements quickly and efficiently. Cloudnosys is regionally compliant and supports regulatory mandates across the United States, European Union, MENA region, Brazil, and other jurisdictions, making it suitable for organizations operating in multiple geographies with varying data governance and compliance needs. In addition to security and compliance, the platform offers DevOps automation features such as resource scheduling, snapshot management, and policy-based controls to streamline operations. Cloudnosys is designed for security teams, DevOps engineers, and compliance professionals seeking unified visibility, control, and automation across AWS, Azure, and GCP environments.

Numerous applications and services hosted in public cloud environments utilize storage solutions like Amazon S3 buckets and Azure Blob storage. As time progresses, these storage solutions may become infected with malware, improperly configured buckets can lead to data breaches, and failure to classify sensitive information can lead to compliance issues and hefty fines. CWP for Storage plays a crucial role by automatically identifying and scanning Amazon S3 buckets and Azure Blobs, ensuring that cloud storage remains both clean and secure. Furthermore, CWP for Storage DLP implements Symantec DLP policy within Amazon S3 to effectively discover and categorize sensitive data. To facilitate remediation and additional actions, AWS Tags can be applied as necessary. Additionally, Cloud Security Posture Management (CSPM) is available for major platforms such as Amazon Web Services (AWS), Microsoft Azure, and Google Cloud Platform (GCP). While containers enhance operational agility, they also introduce a variety of public cloud security challenges and vulnerabilities that can heighten overall risk, necessitating a proactive approach to security management. Organizations must remain vigilant and continually update their security measures to mitigate these evolving threats.

Modern development teams are empowered to identify, fix, and prevent vulnerabilities in source code, open-source libraries, secret management, cloud configuration, and other areas. Modern development teams are empowered to identify, fix, and prevent security flaws in their applications. Continuous security scanning speeds up feature shipping and reduces cycle time. Our expert system reduces false alarms and only informs you about security issues that are relevant. Software that is consistently scanned across all product lines will be more secure. GuardRails integrates seamlessly with modern Version Control Systems such as GitLab and Github. GuardRails automatically selects the appropriate security engines to run based upon the languages found in a repository. Each rule is carefully curated to determine whether it has a high level security impact issue. This results in less noise. A system has been developed that detects false positives and is constantly improved to make it more accurate.

The Fastest Code Analysis. 40X faster scan speeds so developers don't have to wait long for results after submitting a pull request. The Most Accurate Result. Qwiet AI is the only AI with the highest OWASP benchmark score. This is more than triple the commercial average, and more than twice the second highest score. Developer-Centric Security Processes. 96% of developers say that disconnected security and developer workflows hinder their productivity. Implementing developer-centric AppSec workflows decreases mean-time-to-remediation (MTTR), typically by 5X - enhancing both security and developer productivity. Automated Business Logic Flaws in Dev. Identify vulnerabilities unique to your codebase before they reach production. Achieve compliance. Maintain and demonstrate compliance with privacy and security regulations such as SOC 2 PCI-DSS GDPR and CCPA.

Reduce static code analysis time from 1000s to just minutes. Security vulnerabilities can be fixed across hundreds of repositories in a matter of minutes. Moderne automates code-remediation tasks, allowing developers to deliver more business value every day. Automate safe, sweeping codebase changes that improve quality, security, cost, and code quality. Manage dependencies in your software supply chain - keeping software up-to-date continuously. Eliminate code smells automatically, without the scanning noise of SAST or SCA tools. You will always work in high-quality code. It's the last shift for security. Modern applications naturally accumulate technical debt. They are made up of many codebases and software ecosystems, which include custom, third-party and open-source code. Maintaining your code has become more complicated due to software complexity.

SMART TS XL is a sophisticated platform designed for enterprise-level application discovery and software intelligence, allowing organizations to efficiently search, analyze, and visualize interdependencies across diverse codebases, irrespective of their underlying platforms or programming languages. The platform processes a wide range of inputs, including source code, database schemas, configuration files, documentation, ticketing logs, and JCL, pulling from both legacy systems—like COBOL and AS/400—and contemporary environments such as Java, .NET, Python, and C++. By consolidating all these assets into a central, searchable repository, SMART TS XL harnesses patented indexing technology capable of analyzing millions to billions of lines of code, delivering results in mere seconds. This rapid response time empowers users to swiftly find specific fields, error messages, modules, or logic throughout the enterprise. Moreover, it offers dynamic visualizations, including control-flow diagrams and cross-reference graphs, thereby enhancing understanding and facilitating impact analysis across complex systems. This capability not only accelerates decision-making processes but also supports the efficient management of software assets across an organization.

Codacy is an automated code review tool. It helps identify problems through static code analysis. This allows engineering teams to save time and tackle technical debt. Codacy seamlessly integrates with your existing workflows on Git provider as well as with Slack and JIRA or using Webhooks. Each commit and pull-request includes notifications about security issues, code coverage, duplicate code, and code complexity. Advanced code metrics provide insight into the health of a project as well as team performance and other metrics. The Codacy CLI allows you to run Codacy code analysis locally. This allows teams to see Codacy results without needing to check their Git provider, or the Codacy app. Codacy supports more than 30 programming languages and is available in free open source and enterprise versions (cloud or self-hosted). For more see https://www.codacy.com/

Facilitate the design and implementation of your cloud-native applications while uncovering concealed risks stemming from misconfigurations, threats, and vulnerabilities, all from a unified platform. The Skyhigh Cloud-Native Application Protection Platform (CNAPP) safeguards your enterprise's cloud-native application environment through the industry's pioneering automated and seamless solution. It offers extensive discovery features and prioritizes risks effectively. Embrace the Shift Left approach to proactively identify and rectify misconfigurations early in the development process. Maintain ongoing visibility across multi-cloud settings, automate the remediation of misconfigurations, utilize a best practice compliance library, and pinpoint configuration flaws before they escalate into major issues. Streamline security controls to ensure continuous compliance and facilitate audits. Additionally, centralize the management of data security policies and incident responses, maintain comprehensive records for compliance and notification purposes, and oversee privileged access to safeguard sensitive information, thereby fostering a robust security posture for your organization. This comprehensive approach not only enhances security but also encourages a culture of proactive risk management and compliance within your team.

Bugbot is an intelligent pull request review tool designed to automate bug detection and code quality checks. It leverages AI to scan code changes and provide actionable feedback directly within PRs. Bugbot operates continuously, re-reviewing changes as pull requests evolve. The system can also be triggered on demand using simple comments. Bugbot uses prior PR comments as context to reduce noise and redundant suggestions. Teams can define custom rules to enforce security, style, and testing standards. Bugbot integrates with popular version control platforms including GitHub and GitLab. It supports individual developers as well as teams with shared repositories. Bugbot offers a free tier with monthly review limits and scalable paid plans. The tool helps teams maintain consistent, high-quality code at scale.

Comprehensive threat detection integrates seamlessly between on-premises and cloud settings. It identifies early warning signs of compromises, whether they stem from insider threats, malware, policy breaches, misconfigured cloud resources, or user misconduct. By gathering diverse network telemetry and log data, it raises alerts upon detecting unusual behaviors or potential malicious activities, enabling swift investigations. This SaaS-based solution for network and cloud security is designed for effortless acquisition and usability, requiring no additional hardware purchases, software agent installations, or specialized knowledge. Moreover, it enhances your ability to monitor and identify threats across both your cloud and on-premises environments through a unified interface, simplifying threat management and response. Ultimately, this integrated approach fosters stronger security postures and operational efficiency.

Protect your cloud-native runtime environments against external threats, misconfigurations, and insider risks. By leveraging eBPF technology, Spyderbat generates a comprehensive map of activities across cloud systems and containers, illustrating their causal connections. This CausalContext map enables Spyderbat to identify workload behaviors, enforce security protocols, prevent attacks without relying on signatures, and deliver instant insights into root causes. The A3C Engine from Spyderbat efficiently compiles data into a visual representation that highlights these causal relationships for both real-time analysis and historical reference. Moreover, it automatically generates behavior fingerprints of workloads, transforming them into actionable policies that can alert or even obstruct anomalous behaviors, ensuring robust security measures. This proactive approach enhances overall cloud security and provides organizations with the tools to respond effectively to emerging threats.

Confidently assess and prioritize vulnerabilities spanning from endpoint devices to the cloud while maintaining comprehensive visibility of the attack surface and threat-aware risk context. Focus on remediation efforts from endpoints to cloud infrastructure with a pioneer in exposure management solutions. Stay one step ahead of cyber adversaries by leveraging critical insights to address vulnerabilities, policy deficiencies, and misconfigurations present in hybrid environments. Enhance ongoing attack surface monitoring through detailed environmental context and automated risk scoring, effectively identifying and mitigating harmful combinations. Gain a comprehensive understanding of asset posture, ownership, and policy shortcomings in hybrid environments that require adherence to regulatory standards. Proactively mitigate cloud risks before they impact production by utilizing infrastructure-as-code (IaC) and continuous web application scanning, which offer developers actionable insights. Exposure Command supplies teams with an enriched context, enabling them to effectively manage the most significant risks to the organization, thereby transforming risk management into a proactive endeavor that aligns with business objectives.

A comprehensive perspective on all potential risks is established through the integration of machine data and contextual analysis, offering Security and Compliance Solutions tailored for contemporary public cloud environments. Cloudnosys implements best practice guidelines to oversee and evaluate your AWS and Azure services, ensuring they adhere to security and compliance standards. With an intuitive dashboard and detailed reports, you will stay updated on any identified risks segmented by region. It is vital to have policy guardrails in place to uphold security and compliance requirements. Swiftly identify and address risks related to your resource configurations, network architecture, IAM policies, and beyond. For example, monitoring publicly accessible S3 and EBS volumes is a critical task you can undertake. This platform ensures comprehensive governance and effective risk management for all cloud assets. In addition, Cloudnosys provides a robust solution for security, compliance, and DevOps automation, meticulously scanning your entire AWS, Azure, and GCP services for any security and compliance breaches. The proactive monitoring capabilities enhance overall cloud security and facilitate the maintenance of best practices across all platforms.

Sider Scan is an incredibly efficient tool specifically designed for software developers to swiftly detect and monitor issues related to code duplication. It integrates seamlessly with platforms such as GitLab CI/CD, GitHub Actions, Jenkins, and CircleCI®, and offers installation through a Docker image. The tool facilitates easy sharing of analysis results among team members and conducts continuous, rapid assessments that operate in the background. Users also benefit from dedicated support via email and phone, which enhances their overall experience. By providing comprehensive analyses of duplicate code, Sider Scan significantly improves long-term code quality and maintenance practices. It is engineered to work in tandem with other analysis tools, enabling development teams to create more refined code while supporting a continuous delivery workflow. The tool identifies duplicate code segments within a project and organizes them into groups. For every pair of duplicates, a diff library is generated, and pattern analyses are launched to uncover any potential issues. This process is known as the 'pattern' analysis method. Furthermore, to enable time-series analysis, it is crucial that the scans are executed at regular intervals, ensuring consistent monitoring over time. By encouraging routine evaluations, Sider Scan empowers teams to maintain high coding standards and proactively address duplications.

Efficiently manage and distribute artifacts across different accounts while ensuring that your teams and build systems receive the necessary access levels. Minimize the burden of setting up and maintaining an artifact server or infrastructure by utilizing a fully managed service. Benefit from a pay-as-you-go pricing model that only charges for stored software packages, the number of requests, and data transferred out of the region. Configure CodeArtifact to seamlessly retrieve dependencies from public repositories like the npm Registry, Maven Central, Python Package Index (PyPI), and NuGet. Facilitate the secure sharing of private packages between organizations by publishing them to a centralized organizational repository. Create automated approval workflows utilizing CodeArtifact APIs alongside Amazon EventBridge, ensuring you have complete visibility into your packages through AWS CloudTrail. Use AWS CodeBuild to pull dependencies from CodeArtifact and publish updated versions of your private packages, all protected by AWS Identity and Access Management (IAM). This comprehensive approach not only enhances collaboration but also streamlines the development and deployment process across your organization.

The Code Registry is an innovative platform that harnesses AI for code intelligence and analysis, providing companies and non-technical users with complete insight into their software codebase, regardless of their coding experience. By linking your code repository—such as GitHub, GitLab, Bitbucket, or Azure DevOps—or by uploading a compressed archive, the platform establishes a secure "IP Vault" and conducts an extensive automated evaluation of the entire codebase. This analysis generates various reports and dashboards that include a code-complexity score to assess the intricacy and maintainability of the code, an open-source component evaluation that identifies dependencies, licensing issues, and outdated or vulnerable libraries, as well as a security assessment that pinpoints potential vulnerabilities, insecure configurations, or risky dependencies. Additionally, it provides a “cost-to-replicate” valuation, which estimates the resources and effort required to recreate or substitute the software entirely. Ultimately, the platform equips users with the necessary tools to enhance their understanding of code quality and security, thereby fostering more informed decision-making in software development.

The Puma Scan Professional End User Edition enables developers to utilize Puma Scan through a Visual Studio extension, featuring improved capabilities, reduced false positives, and various support options. This edition’s license is valid for one year, with the possibility of annual renewal. In contrast, the Server Edition facilitates command line scanning and can be integrated into your build server, all without needing Visual Studio's overhead. A single Server license can be employed across five build agents within the same organization, and additional Build Agent Bundles are available in sets of five for larger needs. Furthermore, the Azure DevOps Extension introduces a Puma Scan build task into your Azure DevOps pipelines, enhancing your development workflow. With Azure DevOps Standard licenses, you can scan up to 20 build pipelines, while Azure DevOps Unlimited licenses permit unrestricted scanning across a single organization, ensuring comprehensive coverage for your projects. This flexibility allows organizations to choose the best licensing option based on their specific scanning requirements.

PlainID is recognized as The Authorization Company, offering a streamlined and user-friendly platform that empowers both Business and Admin teams to oversee and manage the entire authorization process tailored to their organizational needs. Users can effortlessly create and apply a wide variety of rules without any coding, maintaining a high level of specificity. The platform enhances the authorization process by transforming numerous Roles, Attributes, and Environmental Factors into coherent SmartAuthorization policies through its advanced Graph Database Decision Engine. Additionally, PlainID ensures comprehensive visibility by providing detailed analytics and a complete audit trail, making it easy to navigate compliance, regulatory, and auditing obligations via an intuitive graph-based interface. Access decisions are made dynamically in real time, taking into account user attributes, environmental conditions such as time and location, and event-driven authorizations, thereby merging ABAC and RBAC into a cohesive policy framework. This innovative approach not only simplifies authorization but also significantly enhances organizational control and adaptability in a rapidly changing digital landscape.

The security and risk management solution for Google Cloud enables you to gain insights into the number of projects you manage, oversee the resources in use, and control the addition or removal of service accounts. This platform helps you detect security misconfigurations and compliance issues within your Google Cloud infrastructure, providing actionable recommendations to address these concerns. It also allows you to identify potential threats targeting your resources through log analysis and utilizes Google's specialized threat intelligence, employing kernel-level instrumentation to pinpoint possible container compromises. In addition, you can monitor your assets in near real-time across various services such as App Engine, BigQuery, Cloud SQL, Cloud Storage, Compute Engine, Cloud Identity and Access Management, and Google Kubernetes Engine. By reviewing historical discovery scans, you can track new, altered, or deleted assets, ensuring a comprehensive understanding of the security posture of your Google Cloud environment. Furthermore, the platform helps detect prevalent web application vulnerabilities, including cross-site scripting and the use of outdated libraries, thereby enhancing your overall security strategy. This proactive approach not only safeguards your assets but also streamlines compliance efforts in an ever-evolving digital landscape.