Authentication
Registration, login, password recovery, sessions, multi-factor authentication, social login, device trust, account recovery, and service accounts.
Application Security
Secure the way your product actually behaves.
Find the gaps scanners miss across identity, logic, data, workflows, tenants, and AI-enabled features.
Make the shipped product safer without slowing the team.
System map
The surface is mapped before the work begins.
Each Solutions page uses the same operating view: define the trust surface, identify the review loop, and make the evidence usable for builders and leaders.
Application Security
Trust map
Identity
Authorisation
Logic
Data
AI surfaces
Response
Review loop
Frame
Map
Inspect
Evidence
Context
Security failures are often workflow failures.
A technically valid request can still create an unsafe outcome.
Users may access records belonging to another tenant. Support roles may inherit unnecessary authority. File-processing workflows may expose sensitive data. AI-generated responses may be treated as trusted application instructions. Business processes may allow abuse without violating a conventional input-validation rule.
SecureSpace looks beyond isolated findings to understand how the application behaves as a system.
What SecureSpace examines
Authorisation
Role-based access, object ownership, tenant boundaries, administrative permissions, support access, function-level access, delegation, and temporary privileges.
Business logic
Workflow abuse, sequence manipulation, approval bypass, duplicate actions, race conditions, entitlement logic, state transitions, and trust assumptions.
Data security
Sensitive-data flows, storage, exposure, logging, retention, export, deletion, and cross-tenant handling.
File and content handling
Uploads, parsing, storage, access control, malware risk, metadata, content rendering, and external processing.
AI-augmented surfaces
Prompt construction, model output handling, retrieval, user-controlled context, tool calls, model-generated actions, sensitive-data exposure, and human approval.
Dependencies and supply chain
Dependency exposure, unsupported components, vulnerable packages, build integrity, secrets, CI/CD integration, and third-party scripts.
Observability and response
Security logging, alert context, ownership, error handling, auditability, and incident reconstruction.
Common reasons teams request a review
01
Before a major launch
02
Before onboarding enterprise customers
03
After rapid AI-assisted development
04
After a security incident
05
When introducing new user roles
06
When adding payment or sensitive workflows
07
When moving from one tenant to many
08
When connecting models to product features
09
When existing scan results lack prioritisation
10
When architecture has changed faster than documentation
Review process
01
Scope the application
Identify critical workflows, sensitive data, user roles, environments, dependencies, and business consequences.
02
Understand intended behaviour
Review how the product is expected to work before testing where that behaviour can be manipulated.
03
Inspect architecture and implementation
Examine code paths, configurations, workflows, integrations, controls, and deployment assumptions according to the agreed scope.
04
Test realistic abuse paths
Explore how authenticated users, unauthenticated users, compromised accounts, insiders, automated clients, or manipulated AI features could affect the system.
05
Prioritise findings
Separate exploitable exposure, architectural weakness, implementation defects, and longer-term maturity improvements.
06
Support remediation
Help engineering teams understand the root cause, trade-offs, and practical path to improvement.
What the work can produce
Application threat model
Technical findings
Business-logic findings
Authentication and authorisation review
Tenant-isolation analysis
Sensitive-data flow map
AI-feature risk review
Dependency and secret findings
Architecture observations
Remediation guidance
Leadership summary
Retest plan where agreed
Who it is for
Teams that need clarity without slowing the build.
Product teams preparing a launch
Engineering teams building sensitive workflows
SaaS companies moving into enterprise markets
Teams adopting AI-assisted product features
Security leaders needing clearer prioritisation
Mintos AI
Application patterns can become product infrastructure later.
SecureSpace application work helps identify recurring questions around identity, business logic, tenant boundaries, AI interfaces, and evidence.
Those patterns can inform Mintos AI, but product capability should not be assumed until it is explicitly announced.
What this work should not overclaim
A SecureSpace application review is not automatically a certification, unlimited review, or permanent assurance programme.
The final method and depth depend on the agreed scope, access, timeline, environments, and risk.
A review can reduce uncertainty, but it cannot prove an application has no remaining vulnerabilities.
Questions teams usually ask
Can SecureSpace review an application before launch?
Yes. Pre-launch work is often useful when a team needs risk clarity before exposing critical workflows to users or customers.
Do you need source-code access?
Not always. Source access can improve depth, but the final access model depends on scope, confidentiality, environment constraints, and the review objective.
Can you work with an existing security team?
Yes. SecureSpace can support internal security teams with focused review, second opinions, architecture input, and evidence work.
Do you review AI-generated code?
SecureSpace can review applications built with AI assistance, but the review focuses on the shipped system, not only the origin of the code.
Can you review multi-tenant SaaS applications?
Yes, subject to scope and available access. Tenant isolation, role boundaries, and data handling are common areas of focus.
Does the review prove the application is secure?
No. It provides scoped evidence, findings, and recommendations. No finite review can prove complete absence of vulnerabilities.
Continue from here
Next step
Start with the system, not the category label.
Tell us what you are building, which decision is becoming difficult, and where the security boundary feels unclear.