Protecting over 10,000 organizations worldwide with 16,000+ GitHub stars, Wazuh delivers enterprise-grade security operations through a fully open-source platform with zero feature gating. The unified XDR and SIEM solution deploys lightweight agents across Linux, Windows, macOS, Solaris, AIX, and HP-UX endpoints that stream security telemetry to a centralized cluster built on OpenSearch for indexing and the Wazuh Dashboard for visualization and management. Core capabilities include real-time file integrity monitoring with inotify-based detection and who-data attribution, automated vulnerability assessment that correlates software inventories against continuously updated CVE databases, Security Configuration Assessment against CIS benchmarks, rootkit detection, and log data analysis with a rules engine supporting over 3,000 built-in detection rules mapped to MITRE ATT&CK tactics and techniques. Wazuh monitors cloud infrastructure at the API level with native modules for AWS, Azure, and Google Cloud, detects container anomalies through Docker engine integration, and ingests third-party telemetry via syslog and REST APIs from sources like VirusTotal, TheHive, YARA, Suricata, and PagerDuty. Pre-built compliance dashboards and reports cover PCI DSS, HIPAA, NIST 800-53, GDPR, and TSC frameworks. Active response capabilities automatically trigger countermeasures including firewall rule updates, account lockouts, and endpoint isolation when threats are detected. The platform scales horizontally with multi-node clustering for high availability. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. GPL-2.0 licensed.

Agentic SOC Platform compresses hours of manual security analysis into seconds by deploying specialized AI agents that autonomously triage, investigate, and enrich security alerts. The Python/Django backend processes SIEM webhooks through Redis Streams into a modular pipeline where LangGraph-orchestrated agents extract IOCs, correlate signals, and generate Cases with severity, confidence, impact, priority, and structured verdicts. The built-in SIRP provides full case management with Alerts, Artifacts, Enrichments, Tickets, and a Knowledge base that accumulates institutional memory for both human analysts and LLM agents. Native Splunk and Elasticsearch/Kibana integrations deliver unified log search through a standardized interface so agents and analysts share identical security context. The playbook engine combines traditional SOAR automation with AI-powered investigation — launching threat hunting agents, knowledge extraction, threat intelligence enrichment, and CMDB lookups from a single orchestration layer. MCP Plugin support exposes ASP capabilities to Claude Code, Codex, and OpenCode, enabling external AI agents to operate cases, search logs, query threat intelligence, and write custom modules directly. Python Modules adapt new alert sources while Playbooks orchestrate LLM analysis and automated response actions, scaling the platform with your security scenarios. Deploy via Docker Compose with all data staying inside your network. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

An AI agent that maps your attack surface, proves what is exploitable, and drafts the code fix: RedAmon is a red team for domains you are authorized to test. A six-phase recon pipeline runs subdomain, port, HTTP, and vulnerability scanners in parallel and merges every result into a Neo4j graph you can query in plain language. The agent works from a Kali sandbox with 100+ security tools, asks for human approval before risky steps, and can deploy a Fireteam of specialist sub-agents that investigate separate angles of one target at once. CypherFix triages each finding, then a code agent opens a GitHub pull request with the patch. AI Gauntlet attacks chatbots and LLM endpoints with prompt injection and jailbreak batteries, mapped to the OWASP LLM Top 10. TrafficMind records every HTTP request the tools send, with a searchable history the agent can replay. An Insights dashboard charts findings, CVE severity, and attack chains per project, and the settings page connects OpenAI, Anthropic, OpenRouter, Bedrock, or local Ollama and vLLM models. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Security scanners each report in their own format, and DefectDojo is the self-hosted platform that imports those reports and keeps a single, triaged list of findings. Reports in mixed formats? More than 350 built-in parsers read output from Burp Suite, ZAP, Trivy, Tenable Nessus, SonarQube, Snyk, and Checkmarx, and Generic Findings Import covers tools without a parser through CSV or JSON files. The same scan every night? Reimport adds new findings, can close the ones that vanished, and reopens the ones that return, while deduplication ties repeat detections inside an asset to their original. Decisions already made? False positive, out of scope, and risk accepted statuses survive reimport, so nobody triages the same noise twice. A deadline on every fix? Severity-based SLA countdowns flag breaches and can notify the users assigned to each asset, and full risk acceptances carry notes, files, and an expiry date that returns findings to active by default. Many teams, many applications? Organizations, assets, engagements, and tests mirror how security work is organized, with permissions that cascade downward. Pipelines that should report themselves? The REST API and CI/CD engagements import results automatically, and findings push to Jira as tickets. Someone outside security wants a summary? Dashboards track metrics, and a widget-based report builder produces HTML reports that print to PDF. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. BSD-3-Clause licensed.

Hand your security alerts to a team of AI specialists and keep the final say on every action. Argus pulls events from cloud, identity, code, endpoint, and Kubernetes sources, runs fifteen detection rules, and turns matches into deduplicated findings enriched with CISA KEV and EPSS scores. Nine specialist agents hunt for evidence, build timelines, estimate blast radius, and propose fixes, but their only write path is a pending request that waits for human approval. Response playbooks can block an attacker or isolate a laptop through a catalog of 27 typed actions, starting in shadow mode with dry runs, caps, automatic rollback, and a tenant kill switch. Plant canary tokens aimed at rogue AI agents, replay eight simulated agent-driven attacks, and route OpenAI and Anthropic traffic through a gateway with model allowlists and budgets. Every step is written to a signed audit chain. A self-hosted command center with roles, TOTP sign-in, and Slack approvals fits small teams that have no SOC of their own. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Xalgorix delivers AI-driven penetration testing that proves vulnerabilities exist rather than guessing, pairing an autonomous LLM agent with an independent exploit verifier that re-exploits every finding before it reaches your report. The 22-phase methodology mirrors how a skilled human pentester works through an engagement, covering reconnaissance, subdomain enumeration, port scanning, web crawling, parameter fuzzing, SQL injection testing, XSS detection, authentication bypass, API testing, and more. Select all phases or pick specific ones per target. The platform ships with 85+ offensive security tools preinstalled (nmap, nuclei, httpx, subfinder, katana, ffuf, gobuster, sqlmap, masscan, dalfox, feroxbuster) plus 14 built-in agent tools for browser automation, terminal execution, and note-taking. Connect your own LLM provider (OpenAI, Anthropic, DeepSeek, Gemini, Groq, Ollama, or MiniMax) so no scan data or target information leaves your infrastructure. The web dashboard on port 9137 provides live WebSocket telemetry showing tool calls, agent reasoning, and findings as scans progress. A findings index with CVSS scoring and severity filters organizes results, and branded PDF reports include your company name and logo. Wildcard and multi-target scans handle red team attack-surface mapping, while source-code scanning audits repositories directly without requiring a deployed target. A REST API enables scripted scans and SIEM pipeline integration, and webhooks push notifications to Discord or Telegram. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. Apache 2.0 licensed.

Point it at your cloud accounts and it returns a ranked list of what is misconfigured, mapped to the standards auditors ask about. Connect providers like AWS, Azure, Google Cloud, Kubernetes, Microsoft 365, and GitHub, launch a scan or schedule recurring ones, and read the results on an overview with a ThreatScore gauge, severity bars, and a resource inventory by category. The Findings page groups failed checks, expands each group into the affected resources, and lets teams mute noise, triage status, send groups to Jira, and create alerts that email or message people after each scan. Compliance pages score every framework from CIS and NIST to PCI DSS, SOC 2, HIPAA, GDPR, and ISO 27001, with a watchlist for the ones you care about and downloadable reports. Attack Paths draws a graph from IAM roles and policies to outcomes like code execution, using a Neo4j graph database filled by AWS scans. A built-in AI assistant answers questions about critical findings and compliance gaps with the model provider you configure. Organizations, roles, and API keys keep access tidy. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. Apache-2.0 licensed.

Autonomous red team execution without manual script coordination is what PentaGI delivers through a multi-agent penetration testing platform engineered for automated security assessments. Security engineers configure testing scopes, target IP ranges, domain lists, and rules of engagement through an interactive web console with real-time execution graphs. Autonomous agent personas break down high-level assessment goals into discrete tactical phases, orchestrating network port discovery, service banner fingerprinting, web application crawling, and CVE verification. Specialized agents query integrated Graphiti knowledge graphs and local vulnerability repositories to synthesize attack paths, validate exploitability, and confirm finding veracity before issuing alerts. Operators monitor live agent terminal streams, inspect sandboxed tool executions, and adjust active LLM provider routes across OpenAI, Anthropic, or local Ollama endpoints. The template editor allows red teams to compose reusable testing playbooks with customizable security prompt chains, safety constraints, and automated remediation reporting. Audit logs capture full command histories, raw tool outputs, and LLM reasoning steps to generate compliance-ready technical documentation. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Used by over 100,000 organizations and ranked first in the Gartner Magic Quadrant for DevOps Platforms, GitLab is the open-core DevSecOps platform that delivers the complete software development lifecycle — from planning and source code management through CI/CD, security scanning, and monitoring — in a single self-managed application. The built-in CI/CD engine executes pipelines defined in YAML with parallel jobs, directed acyclic graph scheduling, multi-project pipelines, and auto-scaling runners on Docker, Kubernetes, or bare metal. Merge requests provide inline code review with approval rules, code owners, merge trains for serialized merging, and five merge strategies including fast-forward and semi-linear history. The integrated container registry stores Docker images alongside code, while the package registry supports npm, Maven, NuGet, PyPI, Conan, Go, and generic packages. Issue boards with epics, milestones, and labels enable agile planning, while the built-in wiki and GitLab Pages provide documentation hosting and static site publishing. Security scanning in the Community Edition includes basic SAST, secret detection, and container scanning running as pipeline jobs. The Omnibus installer bundles Rails, Puma, Gitaly, Workhorse, Nginx, PostgreSQL, Redis, Sidekiq, and Prometheus into a single package installable in minutes, while Docker and Helm chart options support containerized and Kubernetes deployments. GitLab Duo AI assists with code suggestions, merge request summaries, and vulnerability resolution. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Enterprise security stacks assume an enterprise budget; Wildbox assumes a server you already own. It runs your whole security operation as a set of cooperating services behind a single HTTPS gateway: threat intelligence collectors pull indicators from seven public feeds on a schedule, starting with abuse.ch's Feodo Tracker, and every indicator is searchable in one place. Fifty-two security tools sit behind one API, covering DNS, TLS, email security, headers, and port analysis. The cloud posture service runs 22 configuration checks against your live AWS accounts and keeps each scan's report, while the vulnerability service inventories your assets, prioritizes findings by risk, and tracks them through remediation with SLA checks and alert rules. When something needs doing, YAML playbooks execute response workflows as background jobs, and the agents service writes Claude-generated threat-enrichment reports for suspicious indicators when you give it an API key. An osquery-based sensor streams endpoint telemetry from your hosts into the platform, kept separate per team. Users, teams, roles, and scoped API keys live in the identity service, and the backends accept nothing that did not arrive through the gateway, so your security data never leaves hardware you control. Optional Compose profiles add n8n automation and Prometheus monitoring. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

Hunting for the hole is only half the job, because a scanner alert nobody believes wastes more time than the bug itself. Add a domain, CIDR, or bug-bounty scope and Reconner builds the map first: passive and active subdomain enumeration, live HTTP probing and fingerprinting, JavaScript analysis that digs endpoints, secrets, and API keys out of bundles, plus parameter and hidden-param discovery. Then it attacks what it mapped with a context-aware engine covering reflected, stored, and DOM XSS, SQL, NoSQL, SSRF, IDOR, LFI, SSTI, XXE, injection, and open redirects, and every candidate has to survive differential, out-of-band, or control-based proof, re-verified before it is ever reported. Blind issues are not dropped either: OAST callbacks catch out-of-band SSRF, RCE, SQLi, and SSTI that never respond inline. Networks get the same treatment, with port scanning, service detection, network-CVE checks, and IP-camera auditing. Findings land in a live dashboard streamed over WebSocket, with an attack-path view, coverage ledger, monitoring diffs, and HTML, Markdown, and PDF reports, while Telegram can alert you and even start, stop, or resume scans remotely. Run it only against assets you own or are authorized to test; behind a VPN and TLS it becomes your private proving ground. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.

PRISM consolidates passive reconnaissance, credential leak detection, and network asset mapping into a unified operational dashboard to replace fragmented command-line security tools. Analysts can launch simultaneous multi-source investigations against domains, internet protocol addresses, email mailboxes, phone numbers, and online handles to uncover domain registrations, open network ports, cryptographic certificates, and historical web archives. The platform interrogates threat feeds and leak repositories to expose credential leaks, dark web mirrors, and email routing anomalies with automated SMTP mailbox verification. Cross-platform identity engines crawl thousands of social networks and public registries to correlate aliases, discover leaked commit identities, and trace digital footprints across the web. Discovered assets render into interactive entity relationship graphs alongside geographic internet protocol maps to help investigators visualize infrastructure clusters and ownership links. An automated operational security calculator evaluates exposure vulnerabilities across identity, web, and infrastructure vectors, producing an aggregated risk score with granular hardening recommendations. Scheduled watchlists continually monitor target infrastructure, dispatching webhook notifications to chat channels whenever new subdomains, ports, or credential leaks appear. Investigators can export comprehensive audit dossiers as self-contained HTML files, styled PDF documents, or structured spreadsheets. Running on a dedicated VPS on RepoCloud with guaranteed CPU, RAM, and SSD, full root SSH access, and a browser serial console. MIT licensed.