Alternatives to Pixee
Compare Pixee alternatives for your business or organization using the curated list below. SourceForge ranks the best alternatives to Pixee in 2026. Compare features, ratings, user reviews, pricing, and more from Pixee competitors and alternatives in order to make an informed decision for your business.
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Guardz
Guardz
Guardz is the unified cybersecurity platform purpose-built for MSPs. We consolidate the essential security controls, including identities, endpoints, email, awareness, and more, into one AI-native framework designed for operational efficiency. Our identity-centric approach connects the dots across vectors, reducing the gaps that siloed tools leave behind so MSPs can see, understand, and act on user risk in real time. Backed by an elite research and threat hunting team, Guardz strengthens detection across environments, turning signals into actionable insights. With 24/7 AI + human-led MDR, Guardz utilizes agentic AI to triage at machine speed while expert analysts validate, mitigate, and guide response, giving MSPs scalable protection without adding headcount. Our mission is simple: give MSPs the scale, confidence, and clarity they need to stay ahead of attackers and deliver protection to every SMB they serve. -
2
SonarQube Cloud
SonarSource
Maximize your throughput and only release clean code SonarQube Cloud (formerly SonarCloud) automatically analyzes branches and decorates pull requests. Catch tricky bugs to prevent undefined behavior from impacting end-users. Fix vulnerabilities that compromise your app, and learn AppSec along the way with Security Hotspots. With just a few clicks you're up and running right where your code lives. Immediate access to the latest features and enhancements. Project dashboards keep teams and stakeholders informed on code quality and releasability. Display project badges and show your communities you're all about awesome. Code Quality and Code Security is a concern for your entire stack, from front-end to back-end. That’s why we cover 24 languages including Python, Java, C++, and many others. Transparency makes sense and that's why the trend is growing. Come join the fun, it's entirely free for open-source projects! -
3
Snyk
Snyk
Snyk is the leader in developer security. We empower the world’s developers to build secure applications and equip security teams to meet the demands of the digital world. Our developer-first approach ensures organizations can secure all of the critical components of their applications from code to cloud, leading to increased developer productivity, revenue growth, customer satisfaction, cost savings and an overall improved security posture. Snyk’s Developer Security Platform automatically integrates with a developer’s workflow and is purpose-built for security teams to collaborate with their development teams. Snyk is used by 1,200 customers worldwide today, including industry leaders such as Asurion, Google, Intuit, MongoDB, New Relic, Revolut and Salesforce. Snyk is recognized on the Forbes Cloud 100 2021, the 2021 CNBC Disruptor 50 and was named a Visionary in the 2021 Gartner Magic Quadrant for AST.Starting Price: $0 -
4
GPT-5.5-Cyber
OpenAI
GPT-5.5-Cyber is an advanced cybersecurity-focused AI model designed for verified defenders working on authorized security research, vulnerability discovery, and remediation. The model pairs stronger cyber capabilities with more permissive behavior for specialized workflows that require deep analysis across complex software environments. It can help identify security-relevant components, trace vulnerable code paths, validate likely issues in controlled settings, develop and test patches, and prepare evidence for human review. GPT-5.5-Cyber is built to support the full remediation loop rather than simply generating more findings. The model shows stronger benchmark performance than GPT-5.5 on CyberGym, ExploitGym, and SEC-bench Pro, reflecting improvements in vulnerability reproduction, exploit reasoning, and long-horizon security tasks. GPT-5.5-Cyber is intended for advanced, authorized cybersecurity work with verification, monitoring, scoped controls, and review. -
5
Railo
Railo
Railo is an autonomous vulnerability remediation engine that turns security findings from Snyk, Semgrep, and CodeQL into verified, test-passing pull requests. Powered by deterministic AST code transformations and formal verification, Railo patches high-impact vulnerability classes (including SSRF, SQL Injection, Path Traversal, and Network Timeouts) in Python and TypeScript repositories. Every patch runs against the repository's native test suite with automatic rollback on failure, eliminating alert fatigue and reducing manual security triage for engineering teams.Starting Price: $99/month -
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Secure.com
Secure.com
Secure.com is for security teams whose work compounds faster than they can absorb it. Its governed AI Teammates own a function end-to-end, from triage and evidence collection to remediation and proof, working inside boundaries the team defines and approves. Offense pressure-tests defenses to surface what's genuinely exploitable; defense then hardens what it finds and verifies the fix. Teams start with one Teammate across SOC, GRC, Cloud, AppSec, or Red, run it themselves or let Secure.com manage it, and see value in days. The work moves to the Teammates. Control stays with the team. -
7
7AI
7AI
7AI is an agentic security platform built to automate and accelerate the entire security operations lifecycle using specialized AI agents that investigate security alerts, form conclusions, and take action, turning processes that once took hours into minutes. Unlike traditional automation tools or AI copilots, 7AI deploys purpose-built, context-aware agents that are architecturally bounded to avoid hallucinations, and operate autonomously; they ingest alerts from existing security tools, enrich and correlate data across endpoints, cloud, identity, email, network, and more, and then produce full investigations with evidence, narrative summaries, cross-alert correlation, and audit trails. It offers a complete security stack: detection to triage alerts (filtering out noise and up to 95–99% of false positives), investigations (multi-system data-gathering and expert-level reasoning), and unified incident-case management (auto-populated cases, team collaboration, and handoffs). -
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Qevlar AI
Qevlar AI
Qevlar AI is an autonomous AI-powered Security Operations Center (SOC) platform designed to transform how cybersecurity teams investigate and respond to threats by automating the entire alert analysis process. Unlike traditional tools or AI co-pilots that require human input or predefined playbooks, it independently investigates alerts as soon as they are received, pulling and enriching data from multiple security tools and external sources to determine whether an alert is truly malicious. It correlates and analyzes signals across systems, reconstructs attack patterns, and provides a complete understanding of incidents, allowing teams to move beyond fragmented workflows and reactive alert triage. By using agentic AI, it can automate a large portion of manual investigations, significantly reducing response times, improving consistency, and expanding the operational capacity of security teams without increasing headcount. -
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Safeguard
Safeguard
Safeguard is an AI-native software supply chain security platform that discovers vulnerabilities, determines which ones are actually reachable, and can autonomously create and merge fixes. Its Griffin AI system analyzes repositories, containers, dependencies, SBOMs, and call graphs to prioritize exploitable issues instead of overwhelming teams with every detected CVE. The platform can generate remediation pull requests, run CI and regression tests, apply policy gates, and update security attestations after a fix is completed. Safeguard also includes zero-day discovery, runtime protections for AI applications, compliance automation, hardened software components, and support for hundreds of regulatory and security frameworks. Developers and AI agents can interact with the platform through its MCP server, APIs, IDE tools, source-control integrations, and CI/CD connections.Starting Price: $9/month -
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Pivot.GG
Pivot.GG
Pivot.GG is a cybersecurity investigation platform that helps security analysts go from a single indicator of compromise (IOC) to actionable answers faster and with less guesswork. It provides guided, context-aware investigation workflows that automate IOC triage, threat analysis, scoping, and detection engineering. Pivot.GG is delivered as a browser-based Software-as-a-Service (SaaS) product for SOC analysts, incident responders, and threat hunters.Starting Price: $39/month -
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Opengrep
Opengrep
Opengrep is an open-source static code analysis engine designed to identify security vulnerabilities within codebases. As a fork of Semgrep, it maintains a similar focus on providing fast and powerful code pattern search capabilities across more than 30 programming languages, including Python, JavaScript, and Go. Opengrep enables developers to define custom rules for pattern matching, facilitating the detection of potential security issues and promoting adherence to coding standards. By integrating Opengrep into the development workflow, teams can proactively address vulnerabilities, thereby enhancing the overall security and reliability of their software projects.Starting Price: Free -
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diffray
diffray
diffray is an AI-powered code review tool that uses a coordinated multi-agent system of specialized agents to analyze your codebase deeply, understand context, and deliver focused, actionable feedback on pull requests instead of generic suggestions and style nitpicks. Unlike single-model reviewers, diffray deploys multiple expert agents across domains such as security, performance, bugs, quality, architecture, testing, and consistency to investigate, verify, and validate issues with confidence scoring, reducing false positives while surfacing real problems like vulnerabilities, concurrency issues, missing tests, and architectural anti-patterns. It integrates with GitHub via a simple setup, reviews every pull request automatically, and enforces team-defined practices as “culture as code,” giving consistent, repeatable guidance across contributors and accelerating development cycles.Starting Price: $19 per month -
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Skyhawk Security
Skyhawk Security
Skyhawk Security provides a cloud breach prevention platform that continuously monitors runtime behavior across public cloud environments, correlates threats into actionable attack storylines, and delivers verified alerts, automated responses, and remediation recommendations to stop breaches before they occur. Its AI-powered Continuous Proactive Protection uses an Autonomous Purple Team to simulate realistic attacks against a customer’s unique cloud infrastructure and adapt detection models to evolving configurations, reducing noise and false positives so security teams focus only on real threats in real time. It integrates Cloud Threat Detection and Response (CDR) with contextualized, scored alerts tuned to each environment, enabling rapid resolution and shorter mean time to respond (MTTR). It also includes foundational capabilities such as Cloud Security Posture Management (CSPM) and Cloud Infrastructure Entitlement Management (CIEM) to assess permissions. -
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CloudCover CyberSafety Platform (CC/B1)
CloudCover
CloudCover CyberSafety B1 Platform (CCB1) is an advanced AI‑based SOAR security threat management solution that operates at sub‑second speed, ingesting real‑time context from an organization’s assets, configurations, threat intelligence, and business criticality to dynamically prioritize risks and deflect attacks with 99.9999999% accuracy and zero false positives. Leveraging patented deep‑learning risk orchestration, it has recorded and halted over 41 billion breach attempts in microseconds without compromise, continuously detecting, capturing, and preventing kompromat across cloud and on‑premises environments. CCB1 integrates seamlessly with existing security stacks to form a predictive CyberSafety layer that automates remediation workflows, deploying patches, configuration changes, or compensating controls, while built‑in AI agents adapt in real time to emerging threats. -
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Exaforce
Exaforce
Exaforce is a SOC platform that enhances the productivity and efficacy of security operations center teams by 10x through the integration of AI bots and advanced data exploration. It utilizes a semantic data model to ingest and deeply analyze large-scale logs, configurations, code, and threat feeds, facilitating better reasoning by humans and large language models. By combining this semantic model with behavioral and knowledge models, Exaforce autonomously triages alerts with the skill and consistency of an expert analyst, reducing the time from alert to decision to minutes. Exabots automate tedious workflows such as confirming actions with users and managers, investigating historical tickets, and correlating against change management systems like Jira and ServiceNow, thereby freeing up analyst time and reducing fatigue. Exaforce offers advanced detection and response solutions for critical cloud services. -
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Cortex AgentiX
Palo Alto Networks
Cortex AgentiX is the next-generation evolution of Cortex XSOAR®, designed by Palo Alto Networks to securely build, deploy, and govern AI-powered security agents. It enables organizations to unleash agentic AI that acts as intelligent teammates, capable of planning and executing complex workflows around the clock. Cortex AgentiX is powered by over 1.2 billion real-world playbook executions, providing agents with proven operational intelligence. The platform offers a rich library of ready-to-use agents while also supporting custom, no-code agent creation tailored to specific security needs. With built-in guardrails, Cortex AgentiX ensures agents operate with the appropriate level of autonomy, including human-in-the-loop approvals for critical actions. Full transparency allows teams to trace every agent decision, action, and outcome for audit and compliance purposes. Cortex AgentiX integrates seamlessly across the Cortex ecosystem to help organizations stay ahead of evolving threats. -
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AgileBlue
AgileBlue
AgileBlue is an AI-native Security Operations platform that continuously detects, investigates, and automatically responds to cyber threats across an organization’s entire digital infrastructure, endpoint, cloud, and network—by combining decision-making AI with 24/7 expert support to reduce noise, accelerate investigations, and stop attacks before they disrupt operations. Its unified platform includes multiple critical modules such as intelligent SIEM for correlated, contextual threat visibility, automated vulnerability scanning to uncover risks before they’re exploited, cloud security for multi-cloud visibility and proactive misconfiguration detection, and real-time threat prioritization powered by Sapphire AI that learns and adapts from every signal to reduce false positives and alert fatigue. AgileBlue’s lightweight Cerulean agent delivers real-time endpoint visibility without performance drag. -
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MergeBase
MergeBase
With the lowest false positive software composition analysis (SCA) scanner, comprehensive software bill of materials (SBOM) engine, and patented Java Dynamic Application Hardening capability, MergeBase provides the only software supply chain security solution offering real-time DevSecOps visibility of third-party risk from development into operation covering all major languages from C/C++, .NET, JavaScript/NPM to Java.Starting Price: $380 per month -
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SaaS Security by Palo Alto Networks
Palo Alto Networks
SaaS Security is the industry’s leading solution powered by Precision AI®, designed to safeguard SaaS applications and data in today’s AI-driven landscape. It addresses critical challenges like shadow IT, misconfigurations, sprawling data, and insider threats targeting SaaS environments. The platform automatically discovers, categorizes, and controls both traditional SaaS and generative AI applications, providing comprehensive visibility across complex AI ecosystems. SaaS Security includes AI Access Security to monitor sanctioned and shadow AI apps, preventing sensitive data leakage and ensuring workforce protection. With multimodal, AI-augmented data loss prevention, it delivers near-perfect accuracy while minimizing false positives. Proactive risk mitigation and Precision AI-driven threat prevention stop known and unknown attacks instantly, all managed through a unified cloud platform. -
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Microsoft Security Copilot
Microsoft
Empower your defenders to detect hidden patterns, harden defenses, and respond to incidents faster with generative AI—now in preview. During an attack, complexity can cost you. Synthesize data from multiple sources into clear, actionable insights and respond to incidents in minutes instead of hours or days. Triage signals at machine speed, surface threats early, and get predictive guidance to help you thwart an attacker’s next move. The demand for skilled defenders vastly exceeds the supply. Help your team make the most impact and build their skills with step-by-step instructions for mitigating risks. Ask Microsoft Security Copilot questions in natural language and receive actionable responses. Identify an ongoing attack, assess its scale, and get instructions to begin remediation based on proven tactics from real-world security incidents. Microsoft Security Copilot integrates insights and data from security tools and delivers guidance that’s tailored to your org. -
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Pulldog
Natic
Pulldog is a native macOS application designed to simplify and streamline code review workflows by allowing developers to review pull requests from their teams directly within a dedicated desktop client. It connects to both GitHub and GitLab, enabling users to monitor and review pull requests across multiple repositories and accounts from a single interface instead of navigating numerous browser tabs. Pulldog is built entirely using modern Apple technologies and is optimized to integrate deeply with the macOS ecosystem, providing support for features such as Spotlight actions, widgets, and system shortcuts that help developers access and manage code reviews more efficiently in their daily workflow. It aggregates pull requests into a unified environment where users can track changes, review code updates, and monitor pipeline status while maintaining focus on the review process itself.Starting Price: Free -
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Darktrace
Darktrace
Darktrace Behavioral Defense Platform is a cybersecurity platform that provides unified visibility, continuous behavioral monitoring, and autonomous response across AI, people, and enterprise infrastructure. The platform uses Adaptive AI to learn the unique behaviors, relationships, and operational patterns of each organization. Darktrace helps security teams detect subtle and novel threats, investigate activity in context, and respond in real time. Its coverage includes AI usage, prompts, agents, development activity, Shadow AI, email, collaboration tools, hybrid networks, cloud, identity, endpoint, and OT environments. Real-Time AI Analyst supports detection, triage, investigation, written reporting, and response to reduce manual effort for SOC teams. Built for modern enterprises, Darktrace helps organizations secure AI adoption, reduce human risk, and protect infrastructure with autonomous behavioral defense. -
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Conifers CognitiveSOC
Conifers
Conifers.ai's CognitiveSOC platform integrates with existing security operations center teams, tools, and portals to solve complex problems at scale with maximum accuracy and environmental awareness, acting as a force multiplier for your SOC. The platform uses adaptive learning, a deep understanding of institutional knowledge, and a telemetry pipeline to help SOC teams solve hard problems at scale. It seamlessly integrates with the ticketing systems and portals your SOC team already uses, so there's no need to alter workflows. The platform continuously ingests your institutional knowledge and shadows your analysts to fine-tune use cases. Using multi-tier coverage, complex incidents are analyzed, triaged, investigated, and resolved at scale, providing verdicts and contextual analysis based on your organization's policies and procedures, while keeping humans in the loop. -
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Strike48
Strike48
Strike48 is the Agentic Operations Platform combining complete log visibility with customizable AI agents that run security, IT, and compliance operations at machine speed. Most organizations monitor only about 60-70% of their environment because traditional SIEM and observability platforms make full log coverage cost-prohibitive. Strike48 closes that visibility gap with architecture that decouples storage from upfront parsing decisions, letting teams ingest and retain all their logs without breaking budgets. Bring your logs or query them where they already live (Splunk, data lakes, cloud, on-prem), no rip-and-replace required. On top of that unified data layer, Strike48 deploys autonomous AI agents that run investigations, correlate and triage alerts, collect evidence, generate and validate detection rules, and hand work off to each other. A human-in-the-loop model ensures people approve critical actions like endpoint isolation and remediation, with full audit trails. -
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Cosyra
Cosyra
Cosyra is a mobile-first cloud development environment that enables users to run AI-powered coding tools directly from their phone through a full Linux terminal. It allows developers to use tools such as Claude Code, Codex CLI, OpenCode, and Gemini CLI, all pre-installed and ready to run by simply adding an API key and opening the terminal. It provides an isolated Ubuntu container with essential development tools, including Node.js, Python, Git, tmux, and vim, along with 30 GB of persistent storage that contains data between sessions. Cosyra is designed to replicate the experience of working on a local machine, allowing users to build, test, and manage projects entirely from a mobile device. It supports workflows such as cloning repositories, reviewing pull requests, running tests, and deploying code, all within a persistent session that can hibernate and resume seamlessly.Starting Price: $29.99 per month -
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Pull Sense
Pull Sense
Pull Sense is an AI-powered code review assistant designed to enhance development workflows by automating pull request reviews within GitHub. It provides instant, intelligent feedback on code changes, identifying potential bugs, security vulnerabilities, and areas for improvement, thereby streamlining the review process and maintaining consistent coding standards. Users can integrate their own AI models, such as Anthropic, OpenAI, or Deepseek, by utilizing their API keys, ensuring flexibility and control over the review process. The platform generates contextual inline comments directly within pull requests, offering actionable insights without disrupting existing workflows. Teams can define and enforce custom coding standards through flexible configuration options, promoting uniformity across codebases. With a quick setup process, Pull Sense seamlessly integrates with GitHub, allowing users to start reviewing code in minutes. -
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Precogs AI
Precogs AI
Precogs AI is an autonomous application security platform that finds, fixes, and ships secure code—without slowing developers down. AI-native detection across code, binaries, and data with 98% precision and near-zero false positives. Auto-generates fixes directly in pull requests. Built-in PII detection (99.2%), secrets scanning, and Pre-LLM Sanitization to protect your IP during AI analysis. Covers SAST, SCA, SBOM, IaC, containers, binary/DAST. Tops CASTLE benchmark. Free tier available.Starting Price: $34/month -
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Macroscope
Macroscope
Macroscope is an AI-powered analytics and visibility tool for engineering and product teams that connects directly to a company’s codebase, commit history, issue/ticket systems like Linear or Jira, and Slack, in order to automatically generate insights about what is happening in the development workflow. It analyzes changes via code-walking the Abstract Syntax Tree (AST) to understand relationships and dependencies in code, then produces summaries of commits, pull requests (including auto-reviews and PR descriptions), overall codebase changes, and trends in feature development or bug resolution. Stakeholders can ask natural language questions about progress (“What did we ship last week?” etc.), see how engineering time is allocated, detect high-signal bugs with fewer false positives, and track productivity and status without needing to dive into all the individual diffs.Starting Price: $30 per month -
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Code Climate
Code Climate
Velocity provides in-depth, contextual analytics that equip engineering leaders to support stuck team members, address team roadblocks, and streamline engineering processes. Actionable metrics for engineering leaders. Velocity turns data from commits and pull requests into the insights you need to make lasting improvements to your team’s productivity. Quality: Automated code review for test coverage, maintainability and more so that you can save time and merge with confidence. Receive automated code review comments on your pull requests. Our 10-point technical debt assessment provides real-time feedback, so you can save time and focus on what matters in your code review discussions. Get test coverage right, every time. See coverage line by line within diffs. Never merge code without sufficient tests again. At a glance, identify frequently changed files that have inadequate coverage and maintainability issues. Track your progress against measurable goals, day-by-day. -
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Kai
Kai
Kai is an agentic AI cybersecurity platform designed to transform how organizations defend against modern cyber threats by replacing fragmented security tools with a unified system that can autonomously reason, analyze risk, and execute defensive actions. It was built from the ground up to address the limitations of traditional security stacks, where teams rely on many disconnected tools, dashboards, and manual workflows that cannot keep up with the speed and complexity of AI-driven attacks. Kai uses agentic artificial intelligence systems that continuously contextualize security data, assess risks, reason about threats, and take action across multiple security domains, including threat intelligence, exposure management, detection, and incident response. Instead of acting only as a monitoring dashboard, it performs the actual security work by orchestrating data, tools, and workflows into a single pipeline that operates at machine speed. -
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Prancer
Prancer
Large-scale cyber assaults occur regularly, and most security systems are reactive to eliminate intrusions. Prancer’s patented attack automation solution aggressively validates your zero-trust cloud security measures against real-world critical attacks to harden your cloud ecosystem continuously. It automates the discovery of cloud APIs across an organization. It offers automated cloud pentesting, enabling businesses to quickly identify potential security risks and vulnerabilities related to their APIs and minimize false positives with correlated risk scoring. Prancer auto-discovers enterprise resources in the cloud and find out all the attack surfaces at the Infrastructure and Application layers. Prancer engine reviews the security configuration of the resources and correlates data from different sources. It immediately reports back all the security misconfigurations and provides auto-remediation. -
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CodeWall
CodeWall
CodeWall is an AI-powered autonomous penetration testing platform that continuously finds and validates security vulnerabilities in your applications. Unlike traditional point-in-time pentests, CodeWall deploys AI agents that autonomously map attack surfaces, chain real exploits, and deliver verified proof-of-concept evidence — running continuously alongside your change management and development cycle. Key capabilities: automated reconnaissance and subdomain enumeration, multi-phase exploit chaining, authenticated testing, AI/LLM vulnerability detection, and compliance-tagged findings. Supports web apps, REST/GraphQL APIs, cloud infrastructure, and internal tooling. Integrates with CI/CD pipelines via CLI and REST API. -
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Roost.ai
Roost.ai
Roost.ai is an AI-powered software testing platform that leverages generative AI and large language models (LLMs) like GPT-4, Gemini, Claude, and Llama3 to automate the generation of unit and API test cases, ensuring 100% test coverage. It integrates seamlessly with existing DevOps tools such as GitHub, GitLab, Bitbucket, Azure DevOps, Terraform, and CloudFormation, enabling automated test updates in response to code changes and pull requests. Roost.ai supports multiple programming languages, including Java, Go, Python, Node.js, and C#, and can generate tests for various frameworks like JUnit, TestNG, pytest, and Go's standard testing package. It also facilitates the creation of ephemeral test environments on demand, streamlining acceptance testing and reducing the time and resources required for quality assurance. By automating repetitive testing tasks and enhancing test coverage, Roost.ai empowers development teams to focus on innovation and accelerate release cycles. -
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Vega
Vega
Vega is an AI-native, federated security analytics platform built to give security operations teams unified visibility, detection, investigation, and response across all of their security data without requiring costly data migration or centralized ingestion. Its Security Analytics Mesh (SAM) lets analysts instantly access and query data wherever it lives, including SIEMs, data lakes, cloud services, and cold storage, using natural language or query languages, eliminating blind spots and reducing cost and maintenance overhead while expanding coverage. It delivers AI-powered detections, automated triage, and cross-environment alert correlation, translating and normalizing data from disparate sources so teams can build, deploy, and refine detection rules once and run them everywhere. Vega also continuously tunes alerts to reduce noise, uncovers hidden security gaps, and integrates with existing security stacks through pre-built connectors. -
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DeepCode AI
Snyk
DeepCode AI has always been the backbone of Snyk code, which is why it's the fastest, most accurate SAST on the market. DeepCode AI, powering the Snyk platform, utilizes multiple AI models, is trained on security-specific data, and is all curated by top security researchers to give you all the power of AI without any of the drawbacks. With 11 supported languages, and multiple AI models, Snyk's DeepCode AI was designed to find and fix vulnerabilities and manage tech debt. DeepCode AI powers Snyk's one-click security fixes and comprehensive app coverage, letting developers build fast while staying secure. Our specialized DeepCode AI is built and refined by top-tier researchers that use training data from millions of open source projects, never customer data. DeepCode AI's hybrid approach uses multiple models and security-specific training sets for one purpose, to secure applications.Starting Price: $25 per month -
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Amplifier Security
Amplifier Security
Self-healing security for your workforce powered by AI with human-in-the-loop automation. Bridge the security and workforce divide with a modern way to run workforce security. Harness the power of AI and your workforce to secure your business. Quit tracking spreadsheets and chasing down employees, and resolve security issues at record speed. Enforce security control in collaboration with employees, so they can maintain productivity. Leverage your existing security tools whether for discovering security findings or taking remediation actions. Our vision is to shift the cybersecurity focus back to include both technology and the people who use it, creating a balanced and more secure environment for businesses. -
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Bold Security
Bold Security
Bold is an AI-driven endpoint security platform designed to protect enterprise devices such as laptops and workstations by deploying an autonomous security agent directly on the endpoint. It continuously monitors how users interact with applications, files, and data on the device, enabling it to detect unusual or risky behavior in real time rather than relying solely on traditional cloud-based monitoring tools. Because the AI agent runs locally on the device, it can observe every workflow and application activity without gaps caused by unsupported APIs or external integrations, providing full visibility into user actions and system behavior. When the platform detects a potential security risk, it does not simply generate an alert but can automatically enforce protective actions, turning threats into resolved incidents before they escalate into breaches. -
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Xygeni
Xygeni Security
Xygeni is an AI-native Application Security Posture Management (ASPM) platform organized around three pillars: ASPM, Supply Chain Security, and AI Security. ASPM gives you one risk view across your toolchain: it ingests findings from native scanners and third-party tools alike (Snyk, Veracode, Checkmarx), then applies AI triage, prioritization, and remediation to all of them equally. Supply Chain Security protects the pipeline itself: dependencies, CI/CD, GitHub Actions, build infrastructure, and secrets. Its MEW engine catches malicious packages before a signature exists. AI Security covers the newest attack surface: DevAI secures agentic coding tools inside the IDE, while CoreAI gives security leaders an AI copilot for organizational risk. Native coverage spans SAST, SCA, DAST, Secrets, IaC, Container, and CI/CD. SaaS, on-prem, or air-gapped. -
39
DebuggAI
DebuggAI
DebuggAI is an AI-powered debugging platform designed to streamline the process of identifying and resolving code issues through intelligent automation. It offers features such as text-based test requests, secure local tunneling for testing on localhost servers, and visual test reports with GIF recordings to enhance the debugging experience. The platform supports various technologies, including Node.js, Next.js, React, TypeScript, JavaScript, Python, Django, and Vite, making it versatile for different development environments. DebuggAI aims to reduce the complexity of end-to-end testing by allowing developers to generate and run tests using simple English commands, thereby improving efficiency and confidence in the development workflow.Starting Price: $20 per month -
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CodeReviewBot
CodeReviewBot
CodeReviewBot is an AI-powered code review tool designed to automate the analysis of pull requests and improve code quality by providing detailed, consistent feedback directly within development workflows. It integrates seamlessly with platforms like GitHub, automatically reviewing submitted code to detect bugs, security vulnerabilities, inefficiencies, and performance issues, while offering actionable suggestions for improvement. Using advanced machine learning models, including large language models, the system evaluates code for best practices, readability, and optimization opportunities, helping developers identify risks and refine their work before merging. CodeReviewBot delivers structured, line-by-line feedback for every pull request, ensuring consistent review standards across teams and reducing the variability of manual reviews. It also supports both public and private repositories and can be customized with specific review rules to align with project requirements.Starting Price: $15 per month -
41
Charlie
Charlie Labs
Charlie Labs offers Charlie, an AI-powered autonomous engineering assistant that helps software teams ship code faster by automating coding tasks, pull request reviews, bug fixes, feature implementation, and other development work directly within existing workflows. Charlie integrates seamlessly with tools developers already use, such as GitHub, Slack, Linear, Sentry, and Vercel, and operates where work happens by listening for events like pull requests or mentions, then generating high-quality TypeScript code, opening or updating branches, and creating pull requests with clean commits and passing tests without manual intervention. It can catch bugs, provide actionable inline feedback, produce feature code and refactor from issue descriptions, and respond to natural language requests within team communication tools so engineers can focus on strategy and design instead of repetitive implementation tasks.Starting Price: $500 per month -
42
Mondoo
Mondoo
Mondoo is a unified security and compliance platform designed to drastically reduce business-critical vulnerabilities by combining full-stack asset visibility, risk prioritization, and agentic remediation. It builds a complete inventory of every asset, cloud, on-premises, SaaS, endpoints, network devices, and developer pipelines, and continuously assesses configurations, exposures, and interdependencies. It then applies business context (such as asset criticality, exploitability, and policy deviation) to score and highlight the most urgent risks. Users can choose guided remediation (pre-tested code snippets and playbooks) or autonomous remediation via orchestration pipelines, with tracking, ticket creation, and verification built in. Mondoo supports ingestion of third-party findings, integrates with DevSecOps toolchains (CI/CD, IaC, container registries), and includes 300 + compliance frameworks and benchmark templates. -
43
Pullflow
Pullflow
Collaborate with each other and AI in the most natural way without leaving your favorite tools - minimizing distraction and context switching. Pullflow synchronizes user identities and code-review activity across GitHub, Slack, and VS Code, enabling you to converse naturally across platforms. Take action from wherever you are, and return to your flow. Pullflow integrates with GitHub Actions, external CI/CD, GitHub apps, and more, to bring you a single view of your pull request from draft and review to test and deploy. Let Pullflow take care of quick actions for you with just a chat mention or IDE keyboard shortcut. Request review, add/remove labels, give feedback, approve, and more, without a trip to GitHub.Starting Price: $5 per user per month -
44
Transilience AI
Transilience AI
Transilience AI is a cutting-edge platform designed to optimize cybersecurity operations by automating vulnerability management, compliance audits, and threat detection. Its AI agents streamline complex security tasks, enabling security teams to focus on critical threats and strategic priorities. Transilience's capabilities include rapid patching prioritization, real-time threat intelligence aggregation, and improving security performance metrics, all while ensuring compliance with regulatory standards. The platform is tailored to various security roles such as AppSec engineers, compliance officers, and vulnerability managers, providing them with precise insights and actionable recommendations. By automating workflows and minimizing manual efforts, Transilience AI enhances the efficiency and effectiveness of security teams. -
45
Small Hours
Small Hours
Small Hours is an AI-powered observability platform that helps root cause server exceptions, analyze the impact, and triage to the right person or team. Use Markdown or your existing runbook to guide our assistant in debugging issues. We support OpenTelemetry for seamless integration with any stack. Hook into existing alarms and identify critical issues. Connect your codebases and runbooks as context and instructions. Your code and data are secure and never stored. Intelligently triage issues and generate pull requests. Optimized for enterprise velocity and scale. 24/7 automated root cause analysis, minimize downtime, and maximize efficiency. -
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Callstack.ai PR Reviewer
Callstack.ai
AI-powered pull request reviewer with deep contextual insights, tailored feedback, and one-click automated setup. Callstack.ai PR Reviewer saves you time and lowers error risk with automatic PR summaries, security & bug checks, and performance optimization suggestions. Automatic PR Summaries Understand code changes quickly with auto-generated summaries and diagram. Context-Aware Feedback Callstack.ai aligns with your team’s coding standards by understanding the core structure of your code for context-driven insights. Customizable Reviews Tailor Callstack.ai to provide feedback that aligns with your unique coding standards and requirements. Compatible with Major Programming Languages We currently support repositories written in the following languages: javascript, typescript, python, java, kotlin, php, go, ruby, rust, react & vue.Starting Price: $285/month (per 100 reviews) -
47
Norm Ai
Norm Ai
With deployments covering mission-critical workflows, Norm Ai understands the importance of regulatory compliance. Norm Ai agents empower compliance teams to access and implement the most comprehensive and up-to-date understanding of regulations, accelerating business outcomes. Risk and compliance challenges are evolving, placing stress on compliance teams to acquire new expertise. Norm Ai agents are constantly gaining new regulatory skills so you can benefit from an ever-expanding toolkit. Norm’s proprietary AI stack ensures unparalleled regulatory comprehension by our AI agents. Operating within networks of large language learning models, our AI Agents can make immediate compliance determinations, undertake complex multi-step tasks, and provide actionable feedback grounded in deep regulatory understanding. -
48
Exabeam
Exabeam
Exabeam helps security teams outsmart the odds by adding intelligence to their existing security tools – including SIEMs, XDRs, cloud data lakes, and hundreds of other business and security products. Out-of-the-box use case coverage repeatedly delivers successful outcomes. Behavioral analytics allows security teams to detect compromised and malicious users that were previously difficult, or impossible, to find. New-Scale Fusion combines New-Scale SIEM and New-Scale Analytics to form the cloud-native New-Scale Security Operations Platform. Fusion applies AI and automation to security operations workflows to deliver the industry’s premier platform for threat detection, investigation and response (TDIR). -
49
CodePulse
CodePulse
CodePulse is a software engineering analytics platform that connects to your GitHub repositories with read-only access to automatically track and analyze development activity so teams can see where time is spent, measure delivery health, and make data-driven improvements without accessing actual source code. It uses a metadata-first approach, analyzing pull request activity, commit history, review interactions, and repository patterns, to produce visibility into engineering velocity, cycle time, review wait times, team health scores, DORA metrics, and trend forecasts, helping identify bottlenecks, collaboration gaps, and opportunities for process improvements across your workflow. It emphasizes security and privacy by never accessing source code contents, secrets, or environment variables while providing dashboards, executive-ready summaries, and built-in playbooks that contextualize metrics into actionable guidance so leaders can communicate impact.Starting Price: $166 per month -
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Cloud IQ
Cloudnosys
CloudIQ is an AI-powered virtual security assistant that integrates across AWS, GCP, and Azure environments to provide continuous cloud security posture management. It delivers automated scanning of cloud configurations, exposures, and compliance gaps; prioritizes actionable insights with contextual risk scoring; visualizes threat paths and over-privileged access across regions and accounts; supports natural-language queries for real-time investigation; and enables remediation workflows through its interactive interface. Designed to act as a 24/7 virtual security expert, CloudIQ connects to cloud accounts, ingests telemetry, surfaces high-impact vulnerabilities, and assists teams in resolving issues faster. It’s built to support CISOs, DevOps, and cloud-security teams with automated prioritization, conversational access to insights, and visual dashboards that reduce alert fatigue and enable measurable improvement of cloud security posture.
