XBOW Alternative: Sekura for Proof-First Autonomous Pentesting

An XBOW alternative needs to cover autonomous vulnerability discovery with evidence you can act on. XBOW is an AI-driven offensive security tool known for finding web application vulnerabilities at scale; it drew wide attention after topping a HackerOne bug bounty leaderboard. Buyers comparing alternatives are usually weighing four things: proof quality, surface coverage, deployment control, and pricing transparency.

Details about third-party products reflect their public materials as of August 2026; verify with the vendor.

What XBOW does well

XBOW earned its reputation. It discovers real web vulnerabilities autonomously and at scale, and topping a HackerOne bug bounty leaderboard is a public, verifiable result. We take that seriously.

If your goal is broad autonomous discovery across external web applications, in the style of a bug bounty hunter that never sleeps, XBOW deserves a close look. The natural fit is a team with a large external web attack surface that wants offensive findings without staffing an offensive team.

Where Sekura differs

We built Sekura around one rule: proof, not probability. A finding ships with a deterministic proof-of-exploit or it does not ship. There is no severity guessing and no triage queue of maybes. That rule is the core of autonomous penetration testing as we practice it.

Four other differences matter in an evaluation:

1. One scan covers three surfaces: application security, LLM security testing, and post-quantum cryptography review.
2. Sekura runs in your environment. Cloud scans execute inside your own GitHub Actions runner; Enterprise runs fully on-prem or air-gapped. Your code never leaves.
3. Findings map to 14 compliance frameworks, so a scan doubles as audit evidence.
4. Pricing is public, from a free first scan to Enterprise from $120,000 per year. You can budget before you ever talk to us.

Sekura is also continuous by design. It runs on every push if you want it to, not as a scheduled campaign. See continuous pentesting for how teams wire that in.

	XBOW	Sekura
Approach	Autonomous AI discovery of web application vulnerabilities	7-phase multi-agent pipeline from SAST through exploitation and chain analysis
Proof of exploit	Autonomous discovery at scale; see vendor materials for evidence format	Deterministic proof-of-exploit required for every reported finding
Surfaces covered	Web application attack discovery	App-sec, LLM security, and post-quantum crypto review in one scan
Deployment	See vendor materials	Your GitHub Actions runner, or fully on-prem and air-gapped
Pricing model	See vendor materials	Public: free first scan, $199 managed scan, $49/mo Developer, plans to $120,000+/yr
Best for	Broad autonomous discovery across external web apps	Teams that want proven, continuous findings inside their own environment

How to choose an XBOW alternative

Start from what you are protecting. Three questions settle most evaluations:

1. Do you need a working exploit behind every finding, or is high-signal discovery enough?
2. Can your code and traffic leave your environment?
3. Do you need one surface tested, or app-sec, LLM security, and crypto together?

If your answers are discovery, yes, and one surface, evaluate XBOW seriously. If they are proof, no, and together, Sekura is the closer fit. The first scan is free, so the cheapest way to decide is to run one; see pricing.

The interesting shift is not which tool wins. It is that autonomous offensive security now works well enough that the debate has moved from whether to which.