BreachVex vs Detectify: EASM and Continuous Security Testing Compared 2026

The Problem with Comparing These Two Tools Directly#

Placing BreachVex and Detectify in a head-to-head comparison is like comparing a perimeter alarm system to a safecracker hired to test whether your vault can actually be opened. One watches the whole property continuously. The other goes deep on the thing that matters most.

Both matter. The mistake security teams make is choosing one when they need both — or buying the breadth-first tool when they have a depth-first problem.

That said, there is genuine overlap. Both tools test web applications for vulnerabilities. Both claim to find SQL injection, SSRF, and access control failures. Both provide findings reports. The difference is in how they find vulnerabilities, how deeply they prove exploitability, what they cost at scale, and what problem they were built to solve.

This comparison covers pricing, methodology, proof quality, asset discovery, deployment model, and the decision matrix for choosing between them — or deploying both.

Side-by-Side Comparison#

What Detectify Does Well#

Detectify has been building in the application security space since 2013. Twelve years of continuous iteration shows.

Crowdsource is genuinely differentiated. The Crowdsource program launched in November 2016 as a hybrid between a private bug bounty program and a scanner module library. Ethical hackers submit vulnerability research — real exploits found in production software, CMSes, frameworks, and libraries. Each submission undergoes internal review, gets automated into a scanner module, and is deployed to all customers. The submitting researcher earns a bounty each time their module fires against a real customer asset.

The result: 400+ vetted ethical hackers, 1,765+ submitted modules, and over 250 million vulnerability findings generated across the customer base. When a new critical vulnerability hits a popular framework, Detectify often has a module live before the CVE is formally published. That is a meaningful advantage over tools that depend solely on CVE databases.

External surface discovery is where Detectify earns its EASM positioning. Most organizations do not have an accurate inventory of their external attack surface. Shadow IT, forgotten subdomains, acquired company infrastructure, and developer-spawned staging environments all create attack surface that security teams do not know exists. Detectify discovers subdomains automatically, tracks new assets as they appear, and begins scanning them without manual configuration. For organizations managing dozens or hundreds of domains, this continuous discovery has genuine operational value.

The 2025 Dynamic Payloads engine represents a step forward. In 2025, Detectify shipped a fuzzing capability that the vendor claims can generate over 922 quintillion unique payloads for a single vulnerability type — replacing finite wordlists with deterministic seed-based generation. Combined with Alfred, its AI researcher that delivered 450+ validated tests with a 70% zero-manual-adjustment rate, the scanning engine is meaningfully more sophisticated than a signature database lookup.

Low noise, fast deployment. Customer reviews consistently cite minimal false positives and rapid time-to-value. A security engineer at a mid-market SaaS company described Detectify as "doing the job of two or three people" — high praise for an always-on monitoring platform. Teams get continuous coverage without dedicating headcount to running and interpreting scans manually.

What BreachVex Does Well#

BreachVex is built on a different premise: most security findings lack the one thing that makes them actionable — proof that the attack actually worked.

Every finding includes proof of exploitation. When BreachVex identifies an IDOR vulnerability, it does not flag the endpoint as potentially misconfigured. It authenticates as User A, sends the request to access User B's resource, captures the successful response including the returned data, and attaches the full HTTP request/response pair to the finding. When a security engineer opens that finding, there is no question about whether it is real. The question is only "how do we fix it?"

This proof-of-exploit standard applies across the vulnerability taxonomy — SQL injection, SSRF, XSS, authentication bypass, business logic failures. Each finding comes with the evidence trail that justifies its severity score.

The AI agent reasons through the application context. The multi-stage attack engine runs a full penetration testing methodology: passive reconnaissance, active probing, authenticated scanning, JavaScript analysis, attack chaining, and reporting. This is not signature matching against a known vulnerability database — the agent forms hypotheses about the application, selects attack vectors appropriate to the target's technology stack, and validates them through active exploitation.

The economics work for high-frequency testing. At $49 per scan, running a full penetration test on every production deploy is economically viable in a way that traditional engagements ($15,000–$50,000 per engagement) are not. A weekly scan cadence costs $2,548 annually — compared to a single traditional pentest. For teams that want security validation baked into their deployment pipeline, the per-scan model removes the budget conversation entirely.

Findings communicate to non-technical stakeholders. A proof-of-exploit report with a working example and captured evidence translates into remediation urgency in a way a CVSS score does not. Engineering leads understand "we extracted 2,400 user records using this request" significantly faster than they process a 7.5 CVSS score with a theoretical attack description.

Where Detectify Falls Short#

Continuous monitoring produces surface signals, not depth. Detectify's architectural strength is breadth — covering the entire external footprint continuously. That strength creates an inherent limitation on any individual asset: the tool allocates finite scan time across potentially hundreds of subdomains. A scanner optimized for coverage cannot dedicate the same depth of testing to a single complex application that a focused penetration test can.

Business logic vulnerabilities remain hard to verify. Detectify acknowledges that complex attack chains require penetration testing rather than continuous monitoring. For access control issues that require multi-role comparison (testing whether a standard user can access admin resources), session sequence attacks, or mass assignment vulnerabilities in modern APIs, the tool's continuous scan model struggles to build the multi-step context needed for verification. These are the findings most likely to carry actual business impact — and they are exactly what Detectify was not built to prove.

Pricing scales linearly with your attack surface size. The per-asset model means your Detectify bill grows with your footprint. An organization going from 25 to 100 monitored subdomains sees a material cost increase without a corresponding improvement in the depth of testing on any individual asset. For fast-growing SaaS companies adding infrastructure quickly, budget predictability becomes a challenge. Procurement data puts the median annual contract at $14,438, with enterprise deployments reaching $55,000–$100,000+.

No EPSS or CISA KEV prioritization. When ranking which findings to fix first, CVSS alone is a weak signal. The Exploit Prediction Scoring System (EPSS) and the CISA Known Exploited Vulnerabilities catalog provide data on what attackers are actually using in the wild. Detectify's prioritization relies on CVSS without surfacing these external exploitation context signals, leaving remediation teams to apply their own prioritization judgment.

Asset discovery coverage is narrower than some competitors. Detectify covers domains, subdomains, IP addresses, and cloud instances — but does not enumerate CIDRs, email addresses, SSL certificate transparency data, or organizational entity relationships across subsidiaries. Organizations with complex structures or frequent M&A activity may find discovery gaps in regions of their attack surface the tool does not reach.

Where BreachVex Falls Short#

No external attack surface discovery. BreachVex requires you to tell it what to test. It does not discover forgotten subdomains, shadow IT, or newly deployed infrastructure. If your security problem is "I do not know what my external footprint looks like," BreachVex is not the right starting point. Detectify solves that problem. BreachVex operates on the assumption that you already know which applications are critical and need deep validation.

Newer entrant — smaller track record. Detectify has twelve years of production deployments, 2,000+ customers, and the institutional knowledge of operating at scale across diverse technology stacks. BreachVex is a 2026 platform. The AI-driven pipeline delivers depth and proof quality that established tools lack, but organizations evaluating vendors for multi-year security programs will weigh maturity alongside capability.

Not a compliance substitute for manual penetration testing. PCI DSS, SOC 2, and most enterprise security frameworks require human-conducted penetration testing conducted by certified practitioners. An AI-driven tool does not satisfy QSA requirements regardless of how sophisticated the underlying methodology. BreachVex is the right tool for continuous validation between compliance engagements — not for the compliance engagement itself.

No continuous monitoring or alerting. BreachVex does not sit in the background watching your infrastructure. It is invoked deliberately — on a deployment, on a schedule, before a launch. Teams that need real-time alerting when a new misconfiguration appears on their external surface need a continuous monitoring layer alongside it.

Pricing Breakdown#

Understanding the cost structure helps clarify which tool fits which team.

Detectify pricing (2026)

Detectify operates a subscription model with per-asset scaling.

• Application Scanning: ~€90/month per scan profile (billed annually). Covers one web application with unlimited authenticated scans. No asset discovery.
• Surface Monitoring: ~€275–302/month (billed annually) for up to 25 subdomains. Includes automated discovery, continuous monitoring, DNS/SSL checks, and vulnerability scanning.
• Combined deployment: To get authenticated scanning alongside surface discovery, both products are typically required — costs compound as asset counts grow.
• Real-world median: $14,438/year (Vendr procurement data, 2026). Range: $7,369–$28,718 annually for most deployments. Enterprise: $55,000–$100,000+.
• Negotiation leverage: Multi-year commitments unlock 15–25% discounts. Competitive evaluation references (Intruder, Probely) typically generate 10–15% additional concessions.

BreachVex pricing (2026)

BreachVex uses a per-scan model that decouples cost from asset count.

• Founding tier: $49/scan — full blackbox AI penetration test with proof-of-exploit reporting on a single web application target.
• Monthly subscriptions: Available for teams running fixed cadence testing (weekly, bi-weekly, monthly scans on priority targets).
• Economics at scale: 52 scans/year (weekly cadence on one application) = $2,548 annually — less than the average two-month Detectify contract.
• No asset overages: Cost is driven by testing frequency, not infrastructure footprint growth.

Use Case Decision Matrix#

flowchart TD
    A[Security need] --> B{Do you know your\nexternal footprint?}
    B -->|No - shadow IT\nforgotten subdomains| C[Start with Detectify\nSurface Monitoring]
    B -->|Yes - known targets| D{What is the\nprimary goal?}
    D -->|Continuous visibility\nacross all assets| E[Detectify\nSurface + App Scanning]
    D -->|Deep proof of exploit\non critical apps| F[BreachVex]
    D -->|Both breadth AND\ndepth| G[Detectify for discovery\n&& BreachVex for validation]
    C --> H{After discovery -\nwhat is critical?}
    H -->|Need to prove\nexploitability| F
    H -->|Need continuous\nmonitoring only| E
    E --> I[Broad coverage\nPer-asset pricing\nAlways-on]
    F --> J[Deep findings\nProof attached\nPer-scan pricing]
    G --> K[Enterprise posture\nBreadth plus depth\nOptimal coverage]

Workflow Comparison#

The operational workflows these tools create are fundamentally different.

The Detectify workflow: monitor everything, route findings

Detectify is configured once and runs continuously. The security team connects domains, configures authentication for application scanning profiles, and defines notification policies. The platform discovers new assets automatically, scans them against the crowdsourced module library, and surfaces findings into a centralized dashboard or integrated ticketing system.

The day-to-day workflow is triage and routing: which new findings from overnight scans need immediate attention, which represent ongoing known issues, and which represent new assets that appeared unexpectedly. This is a reactive posture with fast signal latency — new assets and new vulnerabilities appear in the dashboard within hours rather than waiting for a scheduled test.

The limitation is depth-per-asset. With scanning resources distributed across potentially hundreds of subdomains, each individual application receives less focused attention than a dedicated test. Findings are real but often require additional manual investigation to confirm exploitability.

The BreachVex workflow: deep test, proof attached, fix and re-test

BreachVex is invoked deliberately. A developer pushes a new feature, triggers a scan via API or the dashboard, and the AI pipeline runs a full penetration test: passive reconnaissance, endpoint discovery, active exploitation attempts across the vulnerability taxonomy, JavaScript analysis, attack chain correlation, and report generation. The output is a findings report with every confirmed vulnerability accompanied by proof — the HTTP request that worked, the response that demonstrated impact, and the evidence capture.

The security engineer reviews findings with high confidence they are real. The developer reads the report and can reproduce the finding in their local environment using the provided request. A ticket is opened, a fix is deployed, and a re-test confirms remediation. The loop closes within hours rather than days.

The limitation is scope: BreachVex tests what you point it at. It does not watch for new subdomains appearing or alert when a forgotten staging server exposes a debug endpoint.

The Case for Running Both#

Detectify's own guidance acknowledges that EASM and penetration testing are complementary methodologies, not competitors. The combination creates a coverage model that neither tool achieves alone.

A representative architecture for a mature SaaS company in 2026:

1. Detectify Surface Monitoring runs continuously across all known and newly discovered subdomains — alerting when new assets appear, tracking SSL certificate changes, flagging misconfigurations within hours of introduction.

2. Detectify Application Scanning runs on authenticated scan profiles for the tier-2 applications that need ongoing monitoring but do not justify a scheduled deep-test cadence.

3. BreachVex runs on the four to five critical applications that handle authentication, payments, PII, or privileged operations — triggered on every major release, with findings that carry proof of exploit and drive immediate engineering response.

This architecture costs roughly $30,000–$45,000 annually at mid-market scale: Detectify at the median contract value covering the breadth layer, BreachVex on a monthly plan covering the depth layer. It delivers continuous surface visibility plus verified exploitability evidence on what matters most.

The Honest Verdict#

Choose Detectify if: you have a growing external footprint with unknown or poorly inventoried subdomains, you need continuous always-on monitoring, your primary question is "what do attackers see when they look at my organization from the outside," and you want crowdsourced ethical hacker intelligence deployed automatically.

Choose BreachVex if: you have specific critical applications that handle sensitive data or business-critical functions, you need to prove exploitability rather than flag potential vulnerability, you are gating releases with security validation, you need to present concrete business risk evidence to engineering leadership or a board, or your primary question is "can this application actually be attacked successfully."

Choose both if: you have the budget and the maturity. The combination of Detectify's breadth and BreachVex's depth represents what comprehensive external application security looks like in 2026 — not as a theoretical ideal but as a practical deployment model that eliminates the coverage gaps each tool has independently.

The security teams that struggle most are those that treat a continuous monitoring subscription as a substitute for verified depth, or those that run deep tests on known critical apps while unknown assets accumulate unmonitored in their external footprint. The tools in this comparison address exactly those two failure modes — one each.

Testing your external attack surface? Start with a BreachVex scan on your most critical application and see what proof-of-exploit findings look like in practice. If you need help mapping your full external footprint, Detectify's 14-day trial covers Surface Monitoring for up to 25 subdomains without a contract.