Independent security testing · Melbourne based · Remote delivery
Independent penetration testing and security reviews for applications, infrastructure, posture, and AI systems.
Svitsec validates attack paths ahead of launch, procurement decisions, remediation work, or a higher-risk AI rollout.
Defined before testing
Boundaries, access expectations, timing, and constraints are confirmed before work begins.
Findings for engineers and leaders
Reports are written for engineering, security, leadership, procurement, and customer-facing teams.
Confidential handling
Access, data handling expectations, and sensitive-environment requirements are set before the engagement starts.
Remediation guidance
Findings include reproduction detail and remediation guidance so teams can resolve issues.
Proof and methodology
See how the work is validated and reported before you enquire.
If you are comparing providers, start with the methodology and sample report structure. Both are written for technical and non-technical audiences.
AI is a live risk surface
Review the workflow around the model before sensitive data or critical outcomes depend on it.
If assistants retrieve internal data or call tools, the review covers permissions, evidence, exposure, and failures in prompts or tools.
Core services
Penetration testing and security review services built around the risk at hand.
Choose the service by attack surface and risk.
Application penetration testing
Web apps, mobile clients, APIs, authentication, authorisation, tenant boundaries, and business-critical workflow logic.
Infrastructure penetration testing
Internet exposure, remote access, cloud identity, segmentation, management surfaces, and operational attack paths.
Security posture assessment
Posture assessment across governance, identity, resilience, and vendors.
AI security review
Review copilots, retrieval systems, automated workflows, and the permissions around data and tools.
How engagements work
Understand the risk. Test the system. Report findings your team can act on.
1. Align the review
Align the review with the system, timeline, and decision. Set boundaries, authorisation, and communication expectations up front.
2. Verify the findings
Tools broaden the review. Findings are confirmed manually and weighed against risk and likely impact.
3. Deliver concise reports
Reports explain findings, exclusions, and next steps.
4. Plan follow-up
Reports give teams evidence for launch readiness, risk review, procurement, and remediation planning.
Who this is for
Built for engineering, procurement, leadership, and customer-facing teams.
Launch readiness
Validate critical attack paths before a major release, enterprise rollout, or higher-stakes customer launch.
Customer reviews
Provide evidence for questionnaires, procurement checks, and third-party assessments.
Remediation planning
Turn uncertainty into a concrete fix list with technical detail and prioritisation.
Sensitive AI rollout
Test what assistants, copilots, or automations can access, trigger, or expose before rollout.
Fresh insights
Understand the problem before you define the work.
Insights on penetration testing, AI security, and remediation decisions.
What AI security review looks like in 2026
How retrieval, tool access, approvals, and automated behaviour change the review approach.
What modern app penetration testing covers
Why a meaningful review spans the web app, mobile client, APIs, identity, and workflow logic together.
Secure AI automation without losing control
How to gain speed from AI-powered workflows without losing approvals, oversight, or accountability.
Start the conversation
Request a quote
Describe what to review, when it is needed, and who will use it.
Request a quote
Describe the system, the risk, and the audience for the result.