What are we testing?
Applications, APIs, mobile apps, AI systems, cloud environments, networks or a connected attack surface.
Security assessments
Real attacks.
Useful evidence.
Expert-led VAPT across modern application and infrastructure attack surfaces. Automated discovery establishes breadth; human testing establishes what an attacker can actually do.
Before testing
Clear scope.
Clear outcome.
Every engagement starts by defining the target, access model, objective and evidence needed. That keeps testing focused and avoids unnecessary work.
How much should we know?
Black-box, grey-box or white-box testing depending on the question and depth required.
What decision must follow?
Launch confidence, remediation, customer assurance, audit evidence or a deeper security programme.
01 · Coverage
One assessment.
Multiple attack surfaces.
Choose a focused assessment or combine surfaces into one coordinated engagement.
Find flaws in the application logic.
Test authentication, authorization, sessions, input handling and business workflows beyond what scanners can safely validate.
- OWASP-aligned testing
- Access-control testing
- Business logic
- Manual exploit validation
Test the layer behind the interface.
Assess REST, GraphQL and modern API architectures for authorization failures, data exposure and workflow abuse.
- BOLA / IDOR
- Authentication & authorization
- Rate limiting & abuse
- Mass assignment
Attack the app and its trust boundaries.
Android and iOS testing across client-side controls, storage, IPC, WebViews, deep links and connected APIs.
- Static & dynamic analysis
- Local secrets
- IPC & WebViews
- Backend APIs
Expose weak identity and configuration paths.
Assess externally reachable cloud services, identity boundaries, access paths and security-sensitive configurations.
- External attack surface
- IAM & privilege paths
- Exposed services
- Configuration review
Find what is exposed beyond the perimeter.
Evaluate internet-facing services and network boundaries for exploitable weaknesses and realistic intrusion paths.
- Service enumeration
- Authentication weaknesses
- Configuration validation
- Segmentation
Test the model. Then test the system around it.
Assess AI applications, RAG systems, agents and tool integrations for prompt and application-layer abuse.
- Prompt injection & jailbreaks
- Tool misuse & agent boundaries
- Data / PII exposure
- LLM-aligned scenarios
02 · Methodology
Automated for breadth.
Manual for depth.
Reconnaissance, threat modelling, discovery, exploitation, impact validation, reporting and retesting are connected into one workflow.
01
Recon
Map assets, technologies and entry points.
02
Threat model
Identify valuable data, identities and trust boundaries.
03
Validate
Manually verify exploitable conditions and chains.
04
Retest
Verify remediation and remaining exposure.
03 · Deliverables
Reports built for decisions.
Every meaningful finding is documented with enough evidence to reproduce it, enough context to understand impact and enough guidance to move toward remediation.
01
Executive summary
Risk themes and leadership priorities.
02
Technical findings
Evidence, severity, affected assets and reproduction.
03
Remediation guidance
Practical fixes for engineering and infrastructure teams.
Know where you stand
before an attacker does.
Scope a focused assessment or discuss a broader security programme.
Request an assessment ↗Engagement formats
Choose the level of access that matches the question.
Testing can be scoped as black-box, grey-box or white-box depending on whether the goal is external attacker simulation, authenticated workflow testing or deep code and architecture assurance.
External attacker view
Minimal prior knowledge. Useful for validating real-world external exposure and attack surface.
Authenticated depth
Provide selected accounts or product context to test deeper workflows and access-control boundaries.
Deep assurance
Use architecture, source or deployment context where deeper coverage is required.
Typical output
Evidence your team can act on.
The report is part of the engagement, not the entire engagement.
Executive view
Overall risk, themes and priorities for leadership.
Technical view
Root cause, severity, affected assets and reproduction.
Exploit evidence
Proof that a vulnerability is meaningful and reproducible.
Remediation
Practical engineering guidance and fix validation.