> Source: https://planckproof.ai/stackhawk-alternative | Plain-Markdown twin of the page. Comparison ยท StackHawk Alternative # StackHawk Alternative StackHawk is a developer-first DAST and API scanner that finds classes of issues early in CI. Operator by Planck Proof is an agentic API pentester that chains and proves real exploits like BOLA and BFLA, with a reproducible proof for every finding, a public pricing model, and a free First Scan. [Run a free First Scan](https://cloud.planckproof.ai) [See the proof](https://planckproof.ai/proof) How They Differ ## Find classes of issues, or prove real exploits StackHawk's pitch is shift-left scanning that developers run in CI. Operator's pitch is proven exploitation: an agent that reasons about identity and state, chains steps into a working exploit, and hands you evidence you can replay. | | Operator by Planck Proof | StackHawk | | --- | --- | --- | | Category | Agentic API pentester that chains and proves exploits | Developer-first DAST and API scanner | | Primary use | Prove what an attacker can actually do | Catch classes of issues early in CI | | Authorization depth | BOLA, BFLA, business logic, proven across identities | Detection classes; authz is hard for single-session DAST | | Proof model | A portable, reproducible PoC you re-run yourself | Scanner findings surfaced in the pipeline | | Pricing | Pricing model published (per API, by endpoint volume); free First Scan; final price quoted | Developer-focused plans; see StackHawk for current pricing | | Self-serve on-ramp | Free First Scan (one full proven scan) | Free tier and trial (developer-focused) | StackHawk is a well-regarded developer-first scanner with strong CI ergonomics. The contrast here is scanning versus proven exploitation, not a claim that StackHawk lacks value in its lane. Please verify current StackHawk capabilities and pricing directly with StackHawk. Where StackHawk Is Strong ## Shift-left scanning for developers StackHawk is built for engineers to run dynamic scans in CI, catch classes of issues before release, and fix them fast, with tight pipeline integration and a developer-friendly workflow. For teams standardizing early, automated scanning across services, that shift-left ergonomics is a genuine strength. We take a different bet. A scanner tells you where issues might be; a pentester proves what an attacker can actually do. Detection speed and proven exploitation are different jobs, and the high-impact API flaws reward proof. - **CI-native scanning.** Runs in the pipeline developers already use. - **Fast feedback.** Catches classes of issues before release. - **Developer-first workflow.** Built for engineers, not only security teams. - **Broad detection.** Wide coverage of common issue classes. Why Teams Pick Operator ## Proven exploits, not a queue of alerts A scanner surfaces potential issues; triage then decides which are real. An agentic pentester chains steps into a working exploit and proves it, so there is no maybe. When the question is whether an attacker can really exploit your API, that difference is the whole answer. - **Real exploitation, not just detection.** Operator chains BOLA, BFLA, broken auth, and injection into proven exploits rather than flagging classes of issues. - **Portable, reproducible proof.** Every finding ships with the request, response, reproduction steps, and a CVSS v3.1 vector your team replays independently. - **Authorization across identities.** Operator tests every operation across roles and tenants, the comparison a single-session scanner cannot perform. - **Public pricing model and a free First Scan.** Run a full proven pentest for free, self-serve, before any demo or quote. - **Steerable, human-on-the-loop.** Autonomous breadth by default, with a human able to direct the agent at the logic that matters. - **Recognized method.** Structured against OWASP API Top 10 and WSTG, ASVS, PTES, NIST SP 800-115, MITRE ATT&CK, and CVSS v3.1. The strongest programs use both: a developer-first scanner in CI for early, broad coverage, and an agentic pentester to prove the high-impact flaws that scanners miss. FAQ ## Common questions How is Operator different from StackHawk? StackHawk is a developer-first DAST and API scanner that runs in CI to find classes of issues early. Operator by Planck Proof is an agentic API penetration testing agent that chains and proves real exploits, such as BOLA, BFLA, broken auth, and injection, with a reproducible proof-of-concept for every finding, a free First Scan, and public per-endpoint pricing. Is a DAST scanner the same as a penetration test? No. A DAST scanner like StackHawk detects classes of issues quickly and fits developer workflows, which is valuable shift-left coverage. A penetration test reasons about identity and state to chain steps into a proven exploit. Operator focuses on the second: it proves what an attacker can actually do and hands you evidence you can replay. Does StackHawk find BOLA and BFLA? Authorization flaws like BOLA and BFLA are structurally hard for any single-session scanner, because detecting them requires two authenticated identities and a comparison of what each can reach. Operator is built around that comparison: it tests every operation across roles and tenants and proves cross-account and function-level access with reproducible evidence. How does pricing compare? StackHawk offers developer-focused plans; check StackHawk for current pricing. Operator publishes its model: pricing model published (per API, by endpoint volume); free First Scan; final price quoted. Your First Scan is a full proven pentest at no cost, self-serve. Can I use both StackHawk and Operator? Yes, and many teams should. A developer-first scanner in CI catches classes of issues early, while an agentic pentester proves the high-impact authorization and logic flaws that scanners miss. They cover different depths, and using both gives shift-left speed plus proven exploitation. See Also ## Other alternatives, compared [APIsec alternative](https://planckproof.ai/apisec-alternative) [Aptori alternative](https://planckproof.ai/aptori-alternative) [Escape alternative](https://planckproof.ai/escape-alternative) Every comparison on this site is judged on one thing first: whether each finding ships a runnable proof-of-concept you can re-run yourself. See [how Operator tests for BOLA](https://planckproof.ai/bola-testing) and [BFLA](https://planckproof.ai/bfla-testing). Get Started ## Prove your API, free to start. Point Operator at your API and see your real exposure at no cost, then replay any finding to confirm it yourself. [Run a free First Scan](https://cloud.planckproof.ai) [Compare all alternatives](https://planckproof.ai/compare)