Mission-led scope
Start with target boundaries, credentials, exclusions, permitted techniques, and the security question the assessment needs to answer.
AI pentesting platform
Evaluate an AI Penetration Testing Platform for Your Security Program
Explore a mission-based approach to authorized security testing across web, API, mobile, source code, and network surfaces, with validation-focused evidence and explicit scope limits.
Multi-surface planning
Coordinate distinct web, API, mobile, code, or network scopes without pretending that one generic test provides equal depth everywhere.
Validation-focused evidence
Prioritize reproducible behavior, attack-path context, and clear constraints so teams can judge what the assessment actually demonstrated.
Choose coverage by attack surface and decision
Revaizor is positioned as an autonomous AI penetration testing platform for mission-based security assessments. A useful mission starts with the buyer’s decision: validate a release, investigate application risk, examine an API authorization model, review a mobile and backend path, assess exposed infrastructure, trace code-level risk, or follow up on existing findings. Those objectives shape the target list and evidence needed.
- Web coverage follows browser-facing sessions, roles, and user workflows.
- API coverage follows routes, methods, identities, objects, and service contracts.
- Mobile, code, and network scopes each require their own access, environment, and limitations.
Method: bounded autonomy under rules of engagement
The platform concept is based on defining a mission, mapping the selected surface, testing relevant hypotheses, adapting to observed responses, and validating permitted attack paths. Autonomy does not remove the need for authorization or oversight. Scope boundaries, fragile targets, prohibited actions, test identities, stop conditions, and evidence thresholds should be established before active testing.
- Define what may be tested and what must remain untouched.
- Use observed target behavior to guide testing within the approved mission.
- Stop at the least disruptive evidence that answers the agreed risk question.
Outputs are intended to support action, not certainty
A scoped assessment can produce a record of tested targets, validated findings, reproduction context, attack-path evidence, risk rationale, and remediation direction. The value is a clearer basis for prioritization than an unverified alert list. Reports should still distinguish confirmed behavior, untested hypotheses, and limitations so stakeholders do not read a point-in-time test as a guarantee.
- Technical evidence for reproduction and remediation.
- Context explaining prerequisites, affected trust boundaries, and observed impact.
- Scope and constraint notes for security, engineering, and risk stakeholders.
Know where the platform should be complemented
No autonomous platform can promise complete vulnerability discovery or replace every security discipline. Nuanced business-logic review, threat modeling, security architecture, social engineering, physical testing, hardware work, and requirements for a named human tester may call for specialist services. Product fit should be evaluated against the target, risk, evidence needs, and governance requirements rather than broad claims of replacement.
- Use human review where organizational and product context drives the risk.
- Keep scanners for broad hygiene and inventory where depth-first validation is not the goal.
- Confirm compliance, data-handling, and operating requirements during qualification.
Frequently asked questions
What is an AI penetration testing platform?
It is a system that applies AI-led planning and adaptation to authorized penetration testing tasks. Revaizor frames those tasks as bounded missions with defined targets, rules of engagement, validation goals, and reporting outputs.
Which attack surfaces can be considered?
The site describes web applications, APIs, mobile applications, source code, and network infrastructure. Each surface needs separate scoping, suitable access, and an explicit statement of what was and was not tested.
Does the platform only run vulnerability scans?
The intended distinction is validation-focused testing that investigates whether selected weaknesses support a credible attack path. Vulnerability scanning remains useful for broad signature, inventory, and hygiene coverage.
Does autonomous pentesting replace human security expertise?
No. It can support repeatable technical testing, while humans remain important for governance, nuanced business context, architecture, specialist techniques, and engagement requirements that call for a human tester.
Define your next security mission
Tell us the target type and desired outcome. Sensitive scope details are collected after qualification.
Discuss a scoped assessment