Autonomous Assessment
AI-driven testing explores the attack surface and validates vulnerabilities across web, mobile, API and network environments.

Initialising secure environment

AI Penetration Testing
ManticoreAI automates penetration testing across web, mobile, API and network targets, validates exploitable vulnerabilities and supports remediation with audit-grade reporting, retesting and defensive controls.
The business challenge
Traditional penetration tests can be slow, point-in-time and difficult to repeat. Security teams need faster evidence of exploitable risk and a clear route from finding to remediation.
Core capabilities
AI-driven testing explores the attack surface and validates vulnerabilities across web, mobile, API and network environments.
Security findings can be reviewed by certified consultants to improve confidence and reporting quality.
Prioritised technical and executive reports support remediation as well as standards such as PCI DSS, ISO 27001 and SOC 2.
Integrations with CI/CD and IT service workflows help teams retest fixes and make security validation repeatable.
Reference architecture
Continuously test applications and infrastructure from an attacker's perspective, validate exploitable paths and focus remediation on proven risk. The diagram below shows the product's distinct operating model, data paths and enforcement or decision points.
Example use cases
These examples explain the business purpose behind the architecture. Final scope, integrations and outcomes depend on your environment and implementation design.
A new customer-facing API must be checked for authentication, authorisation and business-logic weaknesses.
Frequent releases make annual penetration testing too slow and point-in-time.
Security teams need to know which exposed services can actually be combined into a breach path.
Delivery path
The exact architecture depends on your environment, but the solution typically follows this practical operating flow.
Select the target assets, testing mode and permitted depth for the engagement.
The platform explores attack paths, chains weaknesses and validates whether vulnerabilities can be exploited.
Findings are reviewed, scored with business context and organised into a practical remediation sequence.
Teams remediate or apply compensating protection, then rerun tests to confirm that the exposure is closed.
Typical use cases
Expected outcomes
DLAB's role
DLAB helps customers evaluate the fit, define use cases, coordinate solution demonstrations and proofs of concept, plan deployment with the principal and local partners, and establish the support path for production.
Arrange a solution workshop