Desktop • Mobile • APIs • AI Systems • Evidence

Security Audit

One security audit across the systems that actually matter.

We audit desktop software, mobile apps, backend services, AI features, APIs, embedded surfaces, and the trust boundaries between them as one real system.

Desktop, mobile, backend, and AI reviewed together
Findings tied to exploit paths and business impact
Practical fixes, retesting, and buyer-ready evidence

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Security breaks across boundaries.

The risky path usually runs through multiple layers at once: client, API, identity, device, data, and automation.

Best Fit

Launch reviews, enterprise diligence, desktop and mobile products, AI features, embedded or device-linked systems, and security debt under pressure.

Desktop Apps Mobile Apps APIs AI Systems Embedded Surfaces Threat Modeling Binary Inspection Auth Flows Data Boundaries Runtime Validation

What We Solve

Reveal real risk and deliver a fixable path to higher security.

We review desktop clients, mobile apps, services, binaries, APIs, AI workflows, and operational assumptions together instead of pretending each layer can be secured in isolation. We expose weak boundaries, broken auth flows, unsafe defaults, vulnerable dependencies, runtime blind spots, and trust assumptions that collapse once a real attacker moves across systems.

That usually shows up as desktop client risk in local storage, update paths, IPC, plugins, and native trust assumptions, mobile and device exposure in token handling, deep links, transport security, and client-to-API boundaries, backend and API weaknesses in authorization, identity flows, and privileged paths, and embedded or binary risk when source is partial, outdated, or unavailable.

What You Get

Attack surface map across desktop, mobile, API, AI, and device-facing layers
Prioritized findings with exploit narrative, impact, and evidence
Remediation plan aligned with architecture and delivery reality
Proof of fixes through retesting and regression checks
Buyer-ready security evidence leadership, engineering, and procurement can actually use

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Coverage and Methods

Audit Surface

Desktop software, native clients, and local trust assumptions
Mobile apps, device trust, and client-to-API boundaries
APIs, services, identity flows, and tenant separation
AI features, agents, data boundaries, and tool permissions

Targets

Cloud, on-prem, hybrid, edge
Desktop, mobile, web, and embedded-adjacent systems
Binaries when source is partial or missing
Critical auth, session, data, and integration paths

Techniques

Threat modeling and attack path analysis
Source and binary review with static and dynamic analysis
Runtime validation, interception, instrumentation, and fuzzing plans
Privilege mapping, trust-boundary review, and exploitability testing

Outputs

Findings with evidence, reproduction notes, and priority order
Fix guidance with tradeoffs that match delivery reality
Retesting and closure validation
Leadership summary for release, diligence, or buyer review

Senior-led delivery. Clear scope. Direct technical communication.

Direct Access

You talk directly to engineers who inspect the system, name the tradeoffs, and do the work.

Bounded First Step

Most engagements start with a review, audit, prototype, or focused build instead of a giant retained scope.

Evidence First

Leave with clearer scope, sharper priorities, and a next move the business can defend under scrutiny.

Delivery Senior-led Direct technical communication

Coverage AI, systems, security One team across the stack

Markets Europe, US, Singapore Clients across key engineering hubs

Personal data Privacy-disciplined GDPR, UK GDPR, CCPA/CPRA, PIPEDA, DPA/SCC-aware

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