Map assets and outcomes
Define applications, APIs, roles, environments, exclusions, deadline, and why the evidence is needed.
Test authentication, authorization, tenant isolation, business logic, and integration trust before an enterprise deal, security review, or critical release. Get verified findings, business impact, developer-ready fixes, and a re-test.
A low-privilege user can read an invoice owned by a different controlled test tenant.
Choose the trigger to preview the planning path, then build a forwardable draft brief without sharing contact details or sensitive system information.
Define the product boundary, report age, roles, tenant paths, and evidence format before procurement turns urgency into an underscoped test.
A tightly scoped assessment for one customer-facing application and its APIs. Built for product teams that need useful engineering evidence and a clear answer to “what can an attacker actually do?”
No unexplained scanner output. Every finding connects technical evidence to realistic business impact and a practical remediation path.
Executive risk overview and technical finding register.
You always know what is being tested, what happens next, and who gets called if risk appears.
Define applications, APIs, roles, environments, exclusions, deadline, and why the evidence is needed.
Agree authorization, test windows, rate limits, data handling, stop conditions, and escalation contacts.
Automation supports coverage; manual testing validates exploitability, business logic, and impact.
Review priorities with engineering, answer remediation questions, then verify agreed fixes.
Balhence uses approved AI assistance to turn the signed scope, architecture, API documentation, and observed behavior into more test hypotheses. AI does not make a candidate finding true. Every live action, exploit chain, severity decision, report, and re-test status remains under human control.
Connect supplied applications, endpoints, roles, tenants, data classes, workflows, and exclusions without adding targets or changing the signed scope.
Cross-reference approved reconnaissance and product context to challenge authentication, authorization, business logic, and integration trust.
Organize redacted evidence, question missing prerequisites, and draft remediation options while raw requests and responses remain the source of truth.
A human executes and reproduces the path, establishes realistic impact, assigns severity, approves the report, and verifies the re-test outcome.
AI output is treated as an untrusted lead, never as evidence. No model autonomously tests production, expands scope, or sends live requests. Client secrets, credentials, customer records, source code, and unredacted vulnerability evidence are not sent to a public AI service unless the client explicitly approves the provider, purpose, and processing terms.
Read the full AI-native VAPT operating modelThese figures describe researcher surveys and platform results. They do not mean Balhence finds a stated percentage more vulnerabilities or completes a pentest a stated percentage faster.
HackerOne reported this result from its 2025 survey of active platform researchers. It measures self-reported use, not a verified gain in finding quality or speed.
HackerOne, 2025 · 1,825 active researchersOnly 12% of surveyed researchers believed AI could replace them, reinforcing why VAPT still needs human context and proof.
HackerOne, 2025 · 1,825 active researchersSeven DARPA AIxCC finalist systems analyzed 54 million lines of code and also submitted 11 patches for real flaws. This was a code-security benchmark, not a live web or API pentest.
DARPA AIxCC, 2025 · Controlled benchmarkThe web and API sprint is the core offer. Adjacent surfaces can be added when the architecture and business goal justify them.
Manual testing of browser workflows, sessions, authorization, business logic, input handling, and integration trust.
Review web application coverageTest REST, GraphQL, webhooks, service identities, tenant boundaries, data exposure, and business-flow abuse.
Review API testing coverageCombine both surfaces when the customer journey and its supporting APIs share one product trust boundary.
Explore the combined engagementPlain-language guidance for founders, product leaders, and engineering teams.
The inputs that change effort, coverage, timeline, and price.
Read the guideA buyer’s checklist for evidence, impact, remediation, and closure.
Read the guidePrepare accounts, architecture, contacts, and rules before the test window starts.
Use the checklistUnderstand what drives the quote, compare proposals on equal scope, and expose exclusions before testing starts.
Compare the scope driversNeed a direct answer for procurement or engineering? Email contact@balhence.com.
Automation supports coverage, but every actionable finding is manually validated. The test also examines authentication, authorization, business logic, role boundaries, and exploit chains that a scanner cannot understand on its own.
A focused engagement commonly takes five to ten working days once scope, access, test accounts, and authorization are ready. The exact test and reporting window is written into the statement of work.
The rules of engagement define environments, safe test windows, prohibited actions, rate limits, escalation contacts, and stop conditions before testing begins. Destructive techniques are excluded. A staging environment is preferred when it faithfully represents production.
No responsible tester can make that promise. The report can be mapped to the agreed security requirements and supplied as evidence, but your auditor, customer, regulator, or QSA makes the final acceptance decision.
Yes. The flagship engagement includes one bounded re-test during the agreed remediation window for findings in the original scope. New features or architecture changes are scoped separately.
An asset inventory, written authorization, a technical contact, test accounts for each relevant role, architecture or API documentation where available, and an agreed path for urgent findings.
Build a private draft brief first. Review the suggested boundary, readiness gaps, assumptions, and deliverables before deciding whether to request a fixed quote.