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

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.
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.
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.