Donely

An autonomous pentester that proves every finding with a real exploit.

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Screenshot of Donely, An autonomous pentester that proves every finding with a real exploit

What is Donely?

Donely is a cybersecurity tool. Sentinel by Donely is an autonomous security agent that pentests web apps, APIs and AI surfaces continuously, validating each vulnerability with a reproducible, non-destructive exploit before it is reported. Findings land in GitHub, Jira, Linear and Slack with proof, blast radius and patch hints.

Donely's Sentinel is an autonomous offensive security agent that tests applications the way an adversary would, then confirms each result with a reproducible exploit before it reaches your queue. A persistent coordinator plans the campaign and holds a live model of the target, while thousands of short-lived agents work in parallel on narrow objectives such as SQL injection, SSRF, IDOR, authentication flaws, race conditions and business logic abuse. Findings are only published once a deterministic validator reproduces them non-destructively, so engineers receive a working proof of concept, the exact request and response, the blast radius and a suggested patch rather than a severity score to argue about. The platform is aimed at AppSec leads, platform teams and security engineers at organisations that ship frequently and cannot wait for an annual engagement. Typical use is continuous testing against staging or production, or a trigger from CI on every merge to main. Internal apps can be reached through a deployed runner, and the scope covers REST and GraphQL APIs, mobile backends and LLM-powered features such as prompt injection and tool-call abuse. Validated findings flow into GitHub, GitLab, Jira, Linear, Slack, Notion and Discord, which keeps remediation inside the tools engineers already use. Against traditional scanners, the difference is method rather than marketing. Scanners match patterns and produce noisy alert volumes, while Sentinel chains primitives and reasons about each target, and the vendor claims a low single-digit false positive rate alongside far higher weekly verified exploit counts in its own benchmarks. Against human pentest firms, the pitch is coverage and cadence: continuous re-testing as the attack surface changes instead of quarterly windows, and a machine that never sleeps. It does not replace testers, since business-logic threat modelling and remediation strategy still need human judgement. Safety controls matter for a tool built to attack production. Validation challenges are read-only and audited, credentials are scoped per target and per tool, and rate limits, blast-radius caps and a kill switch are enforced by the coordinator. Every agent action is logged with full replay. Deployment options include SaaS, a dedicated tenant and in-VPC, with air-gapped builds for regulated workloads.

How do you use Donely?

  1. 1Book a live pentest
    Schedule the 30-minute call through the site and pick a target so the team can run Sentinel against it and show real validated findings.
  2. 2Define scope and launch
    Point Sentinel at a domain, repository or API specification. Set the boundaries, authentication details and any context that should steer testing.
  3. 3Let the coordinator map the surface
    The persistent coordinator crawls endpoints, parameters and auth boundaries to build a live model of what should be attacked.
  4. 4Review validated findings
    Thousands of parallel agents attack in the background. Only results reproduced by a deterministic validator reach your queue, each with reproduction steps.
  5. 5Route and patch
    Send confirmed findings to GitHub, GitLab, Jira, Linear or Slack with the exploit trace, blast radius and a suggested patch, then re-test after the fix ships.

Pros and cons

Pros

  • Every reported finding ships with a reproducible exploit and request/response trace, which cuts triage guessworkAI
  • Continuous re-testing on each deploy replaces the quarterly pentest window and adapts as the attack surface changesAI
  • Strong safety design for production runs: read-only validation, scoped credentials, blast-radius caps and a kill switchAI
  • Findings route into GitHub, GitLab, Jira, Linear, Slack and Notion, keeping remediation where engineers workAI
  • Covers internal apps, REST and GraphQL APIs, mobile backends and LLM features such as prompt injectionAI

Cons

  • No public pricing, plan tiers or seat model on the site, so budgeting requires a sales conversationAI
  • The performance comparison figures (verified exploits, false positive rate, coverage) are vendor-published benchmarks with no independent audit citedAI
  • Engagements start with a booked live pentest call, so there is no self-serve signup or trial to evaluate the agent aloneAI
  • Built for teams with existing AppSec maturity: reading exploit traces and acting on patch hints assumes in-house security skillsAI
  • Pricing and deployment complexity for dedicated tenant or air-gapped builds may put it out of reach for small teamsAI

How much does Donely cost?

Integrations

Validated findings can be pushed to GitHub, GitLab, Jira, Linear, Slack, Notion, Discord, PostHog, Snowflake and Google Cloud. CI triggers are supported for testing on each merge to main.

Features

A persistent coordinator orchestrates thousands of parallel agents that attack one narrow objective each, backed by real offensive tooling (headless browser, Burp, ZAP, Nuclei, sqlmap, Semgrep). Deterministic validators reproduce every finding non-destructively before it is reported, with reproducible proof, blast radius and patch hints. Full action logging with replay, guardrails and a kill switch, plus coverage of web apps, internal apps, APIs, mobile backends and LLM surfaces.

Frequently asked questions about Donely

  • How do you use Donely?
    The walkthrough on this page covers 5 steps: 1. Book a live pentest 2. Define scope and launch 3. Let the coordinator map the surface 4. Review validated findings 5. Route and patch.
  • What platforms does Donely support?
    Donely is available on Web App.
  • What does Donely integrate with?
    Validated findings can be pushed to GitHub, GitLab, Jira, Linear, Slack, Notion, Discord, PostHog, Snowflake and Google Cloud. CI triggers are supported for testing on each merge to main.
  • What are the limitations of Donely?
    No public pricing, plan tiers or seat model on the site, so budgeting requires a sales conversation. The performance comparison figures (verified exploits, false positive rate, coverage) are vendor-published benchmarks with no independent audit cited. Engagements start with a booked live pentest call, so there is no self-serve signup or trial to evaluate the agent alone.

Status

StatusActive
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Added11/3/2026

Platforms

Web App

Pricing

Paid