# Aptori vs Donely Aptori records 914 monthly visits with -64.4% month-over-month growth and Contact for Pricing pricing. Donely records 10,995 monthly visits with -0.9% growth and Freemium, Free Trial pricing. | Metric | [Aptori](https://openaitools.app/tool/aptori) | [Donely](https://openaitools.app/tool/donely) | | :--- | :--- | :--- | | Website URL | https://aptori.dev | https://donely.ai | | Categories | AI Developer Tools, AI Agent, AI Code Assistant | AI Agent, No-Code&Low-Code, AI Assistant, AI Productivity Tools | | Pricing Model | Contact for Pricing | Freemium, Free Trial | | Monthly Visits | 914 | 10,995 | | MoM Growth Rate | -64.4% | -0.9% | | Primary Market | Poland | United States | | Direct Visits | 359 | 4,554 | | Review Score | 4.3 | 4.2 | | Saved Count | 1 | 0 | | Supported Platforms | Website | Website | ## Aptori Aptori is an autonomous application security platform built for teams that ship software with both humans and AI agents in the loop. Instead of scattering point scanners across the SDLC, Aptori links everything back to an Application Context Graph: code, services, APIs, dependencies, identities, objects, workflows and runtime paths. That shared context is what lets it decide whether a finding is actually reachable and exploitable rather than just technically present. The platform spans the whole risk lifecycle. On the BUILD side it handles software composition analysis, SBOM and dependency risk, Kubernetes and IaC security, and AI-assisted static analysis of source code. On the VALIDATE side it covers API security testing, business logic testing and semantic runtime validation that proves how applications and APIs really behave. Autonomous penetration testing agents then safely chain requests, change identities and abuse workflows to prove exploitable attack paths, including BOLA and object-level authorization flaws. From there, Aptori focuses on noise reduction and triage by correlating context, reachability and exploitability, then accelerates remediation with root-cause guidance, Auto Code Fix and automated pull requests. Continuous vulnerability management tracks each issue through prioritization, retesting and verified closure. The same evidence layer supports compliance programs such as SOC 2, PCI DSS and Secure-by-Design mandates including the EU CRA and UK TSA. Pricing is not published publicly and is available on request via a demo. **Pricing & Plans:** Pricing is not published publicly. Aptori is positioned as an enterprise platform and directs interested teams to book a demo or contact sales for a quote. - **AI SAST:** Understands source code, control flow, data flow, authorization and business logic, including AI-generated changes. - **Autonomous penetration testing:** Controlled agents explore applications, chain requests, switch identities and abuse workflows to prove exploitability. - **Semantic runtime validation:** Validates how applications and APIs actually behave at runtime, distinguishing real exposure from theoretical risk. - **API and business logic security:** Tests object-level authorization, workflows and business logic to catch flaws like BOLA and IDOR. - **Auto Code Fix and verification:** Turns validated risk into developer-ready guidance and automated pull requests, then retests to prove closure. **Strengths:** Unifies SAST, SCA, API security, pentesting and ASPM in one context-aware platform; Runtime validation reduces false positives by proving real exploitability; Automated pull requests and retesting push issues through to verified closure; Compliance evidence is generated continuously rather than as a periodic exercise **Limitations:** No public pricing, so evaluation requires a sales conversation; The breadth of capabilities means a meaningful onboarding and integration effort; Best value is realized by enterprises with mature SDLC and API estates [Profile (Markdown)](https://openaitools.app/tool/aptori.md) ## Donely Donely provides managed infrastructure for autonomous AI employees, with a strong current focus on security. Its headline agent, Sentinel, acts as an always-on adversary: a persistent coordinator maps your attack surface across domains, repositories or API specs, then directs thousands of short-lived agents in parallel, each pursuing one narrow objective such as SQL injection, SSRF, IDOR, auth bypass or business-logic abuse. Deterministic validators then attempt to reproduce each result before it is surfaced. The distinguishing claim is proof over probability. Findings are only reported after a controlled, production-safe challenge has reproduced them, so each one arrives with a reproducible proof of concept, request and response detail, blast radius and a suggested patch. Results flow into GitHub, GitLab, Jira, Linear, Slack, Notion, Discord and data platforms, and the system advertises continuous re-testing on every deploy for compliance evidence such as SOC 2, ISO 27001 and PCI. The platform emphasises safety and control while running against production: non-destructive read-only validation, full logging and replay of agent actions, per-target least-privilege credentials, rate limits, blast-radius caps and an instant kill switch. Deployment options range from SaaS to a dedicated tenant, in-VPC and air-gapped builds. The site also points to a rebrand toward HOG 3 for the security line, and to hosted OpenClaw/NemoClaw agent offerings elsewhere on the platform. **Pricing & Plans:** Freemium and enterprise tiers; the site advertises a free trial path and contact-based enterprise pricing, including dedicated, in-VPC and air-gapped deployments. - **Exploit-validated findings:** Every reported issue comes with a reproducible proof of concept, request and response detail and a blast-radius assessment. - **Parallel agent swarm:** Thousands of short-lived agents each pursue one focused attack objective under a persistent coordinator. - **Real offensive tooling:** A steerable headless browser plus Burp, ZAP, Nuclei, sqlmap, Semgrep and custom payloads. - **Continuous re-testing:** Trigger from CI on every merge, or run continuously against staging and production to keep pace with releases. - **Guardrails and audit evidence:** Least-privilege keys, rate limits, full action logging and an instant kill switch, with exportable signed traces. **Strengths:** Only surfaces findings it can actually reproduce, cutting false-positive triage; Runs continuously rather than in annual windows; Broad delivery integrations covering issue trackers, chat and data platforms; Strong safety framing for production testing, with logged, reversible actions **Limitations:** Enterprise-oriented engagement and pricing, not a self-serve tool for individuals; Product positioning has shifted over time, so older descriptions may not match today's offering; Validated continuous testing is not a substitute for human judgement on business-logic threat modelling [Profile (Markdown)](https://openaitools.app/tool/donely.md) ## Frequently Asked Questions ### How do Aptori and Donely compare in monthly traffic? Aptori has 914 monthly visits, while Donely has 10,995. Traffic estimates describe audience size, not product quality. ### How do their growth rates compare? Aptori has a month-over-month growth rate of -64.4%; Donely has -0.9%. ### How does pricing compare? Aptori: Contact for Pricing. Pricing is not published publicly. Aptori is positioned as an enterprise platform and directs interested teams to book a demo or contact sales for a quote. Donely: Freemium, Free Trial. Freemium and enterprise tiers; the site advertises a free trial path and contact-based enterprise pricing, including dedicated, in-VPC and air-gapped deployments. ## Alternatives | # | Tool Name | Monthly Visits | MoM Growth Rate | Pricing Model | Summary | Profile (Markdown) | | :--- | :--- | :--- | :--- | :--- | :--- | :--- | | 1 | [Cursor](https://openaitools.app/tool/cursor) | 23,297,751 | +8.4% | Freemium | The AI coding agent for building ambitious software | [.md](https://openaitools.app/tool/cursor.md) | | 2 | [Devin](https://openaitools.app/tool/devin) | 2,549,346 | +1% | Paid | Cognition's autonomous software engineer that ships real pull requests | [.md](https://openaitools.app/tool/devin.md) | | 3 | [KaneAI](https://openaitools.app/tool/kaneai) | 901,340 | +13.2% | Freemium, Paid, Contact for Pricing | GenAI-native end-to-end QA agent that plans, writes and heals tests in plain language | [.md](https://openaitools.app/tool/kaneai.md) | | 4 | [Aikido Security](https://openaitools.app/tool/aikido-security) | 757,491 | +9.6% | Freemium | All-in-one AppSec platform that finds and auto-fixes vulnerabilities | [.md](https://openaitools.app/tool/aikido-security.md) | | 5 | [Augment Code](https://openaitools.app/tool/augment-code) | 326,215 | +24.1% | Freemium, Free Trial, Contact for Pricing | Agent orchestration platform for your whole software development lifecycle | [.md](https://openaitools.app/tool/augment-code.md) | | 6 | [ProjectDiscovery Neo](https://openaitools.app/tool/projectdiscovery-neo) | 158,530 | +22.5% | Paid, Contact for Pricing | AI security platform that finds exposures, proves they're exploitable, and ships the fix | [.md](https://openaitools.app/tool/projectdiscovery-neo.md) | | 7 | [Mindgard](https://openaitools.app/tool/mindgard) | 153,455 | +1.3% | Contact for Pricing | Attack-led AI security testing and red teaming | [.md](https://openaitools.app/tool/mindgard.md) | | 8 | [Hacktron](https://openaitools.app/tool/hacktron) | 125,526 | -40.9% | Freemium, Paid, Contact for Pricing | AI-native offensive security: continuous red teaming, white-box pentests, and PR review | [.md](https://openaitools.app/tool/hacktron.md) | | 9 | [Beagle Security](https://openaitools.app/tool/beagle-security) | 38,309 | -35.8% | Freemium, Free Trial, Paid, Contact for Pricing | Agentic AI penetration testing for web apps, APIs and GraphQL | [.md](https://openaitools.app/tool/beagle-security.md) | | 10 | [Prowler Cloud](https://openaitools.app/tool/prowler-cloud) | 36,917 | -3.4% | Free Trial, Paid, Contact for Pricing, Free | Find, prioritize, and fix cloud security risks with AI-assisted workflows | [.md](https://openaitools.app/tool/prowler-cloud.md) | --- Source: https://openaitools.app/compare/aptori-vs-donely More Markdown: [Categories](https://openaitools.app/categories.md) · [Traffic rankings](https://openaitools.app/rankings.md) · [llms.txt](https://openaitools.app/llms.txt)