For teams shipping SaaS, cloud, AI, and MCP systems

Security testing for modern products, cloud, and AI systems

Appsecco tests product behavior, connected infrastructure, and AI or MCP attack surfaces together, so the coverage matches the system you actually shipped.

Fixed quote, report reading call, and one revalidation window included.

10+

Years in product security

150+

Organizations secured

5,000+

Security vulnerabilities discovered

700+

Security engagements

What buyers usually inspect before they start the conversation

The fastest path to trust is usually inspectable operator proof: who leads the work, what public research exists, and whether the reporting standard holds up in internal review.

Practice lead

Akash Mahajan

Founder & CEO

Akash leads Appsecco's product security testing practice and the public research work around it. Buyers usually inspect the operator trail, the report standard, and the public artifacts before they commission an engagement.

Public research

Our public research and training work makes the methodology easy to inspect before a statement of work exists.

Choose the right starting point

Start with the part of the system that actually carries the risk

Apps, cloud infrastructure, and MCP servers are scoped from different effort signals. Pick the path that matches where an attacker gets leverage first, then we confirm the fixed scope in a short technical sync.

Apps & APIs

$5,000-$20,000+ 3-14 business days

Start with product behavior and authorization paths

Use this route when the main risk lives in application logic, API trust boundaries, tenant isolation, or multi-role workflows inside the product.

Authorization depth and workflow complexity usually move the scope more than company size.

Cloud, Kubernetes & IAM

From $7,500 5-10 business days

Start from the trust boundary and privilege model

Use this route when the main concern is cloud identity, Kubernetes separation, exposed services, storage risk, or chained escalation paths across infrastructure.

Cloud work is usually scoped from account boundaries and reachable control planes, not page counts.

MCP servers

$3,500-$15,000+ 3-10 days

Start where assistants reach tools, data, and auth

Use the MCP route when AI assistants connect to tools, internal APIs, file systems, or tenant data through Model Context Protocol.

MCP scope is driven by tools, transports, data boundaries, and OAuth or token handling rather than app pages.

If your system spans product, cloud, and MCP surfaces, start with the attack surface that would create the highest-impact path first. We combine adjacent scope during the technical sync instead of making you guess the final statement of work alone.

Trusted by product teams at

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AI, MCP, and Agent Security

You passed the VAPT. The new attack surface may never have been tested.

Many SaaS teams did the reasonable thing: they bought the pentest, got the report, and checked the box.

Once AI, MCP, or agents are wired into the product, that old assurance model often stops proving what it looks like it proves.

You can pass checklist or compliance VAPT and still leave the most important AI/MCP attack paths untested.

Follow the gap

Step through where the checklist boundary ends and the connected product surface begins.

Stage 1

Who Can Access

Checklist -> Gap
  • Familiar check

    Authentication, RBAC, and session handling were reviewed.

  • Why buyers trust it

    That feels like access was tested end to end.

  • Where coverage stops

    Checklist VAPT often stops at visible login, token, and role boundaries inside the app.

  • What remains exposed

    It may never test how prompts, shared context, tool calls, or agent permissions create new paths into internal systems.

Stage 2

What Can Be Reached

Checklist -> Gap
  • Familiar check

    Endpoints, inputs, and known integrations were in scope.

  • Why buyers trust it

    That feels like the important data paths were covered.

  • Where coverage stops

    Checklist VAPT rarely maps how retrieval, MCP resources, memory, internal APIs, and connected tools expand what the AI layer can touch.

  • What remains exposed

    The model may still reach tenant data, internal services, or operational systems that were never exercised in the original test.

Stage 3

What Can Be Done

Checklist -> Gap
  • Familiar check

    Critical actions and high-risk workflows were reviewed.

  • Why buyers trust it

    That feels like dangerous behavior would have been caught.

  • Where coverage stops

    Audit-driven testing often checks that actions exist, not whether AI or agent flows can trigger them out of sequence or across trust boundaries.

  • What remains exposed

    An attacker may still be able to invoke tools, chain actions, poison context, or escalate privileges in ways the report never attempted to simulate.

See what Appsecco tests

Our AI security work is grounded in hands-on research and labs because the public guidance is still early, including the Appsecco vulnerable MCP servers lab. View the lab

Testing scope

What Appsecco tests that ordinary VAPT usually misses

Appsecco tests the connected product system: core product behavior, the infrastructure it depends on, and the AI / MCP layer added on top.

Coverage view

Start with the product surfaces every SaaS team recognizes: application behavior, APIs, data boundaries, and authentication.

App

API

DB

Auth

Gateway

Object storage

IAM

MCP

Model API

Agent runtime

Authz / tenancy

Tenant isolation, role boundaries, and the cross-account access paths that let one customer reach another customer's data.

See details

API abuse

Method confusion, under-validated endpoints, hidden routes, and protocol edge cases that turn normal API behavior into attacker leverage.

See details

Workflow logic

Multi-step product flows, state changes, and feature misuse paths that scanners and checklist testing usually flatten into isolated checks.

See details

Before you commit

Inspect the report standard, research trail, and review package before the first call

The fastest way to judge a security testing practice is to review what it publishes, what the report looks like, and how clearly it explains the artifacts your team will carry into engineering, security, and buyer review.

Sample report

The report is designed for engineering review, not just procurement

Before any engagement, you can inspect the same evidence standard we use in client work: scoped findings, attack-path narrative, remediation guidance, and supporting artifacts that stand up in internal review.

  • Executive summary tied to decisions, not only severity labels
  • Attack-path narrative that shows how issues combine into real risk
  • Remediation guidance your engineers can act on without translation
  • Artifacts that make revalidation and customer review easier
Sample report cover page
Sample report table of contents
Sample report example finding
Preview the sample report

Redacted sample. No form required.

Public research

The practice publishes real tooling, not only service copy

Appsecco's research footprint is visible before the first call. That matters because buyers should not have to infer technical depth from generic marketing language.

Published by the Appsecco research team and maintained as public technical assets.

What your team gets

The deliverable system is built for triage, remediation, and proof

Buyers usually need more than a PDF. They need evidence that can move between engineering, security, and review stakeholders without losing context.

Executive summary

Risk themes, business impact, and the decisions leadership should make first.

Evidence-backed findings

Reproduction steps, impact notes, and supporting artifacts tied to the real attack path.

Fix guidance

Practical remediation direction with enough specificity for engineering follow-through.

Revalidation proof

A clear record of what was retested when customers, auditors, or launch reviewers ask for closure.

Additional references are available under NDA when the buying process calls for them.

From a B2B SaaS engagement

"We thought our automation had us covered. The manual testing didn't replace it — it showed us the categories of issues that automation isn't built for. Now we run both."

VP of Engineering , B2B SaaS Platform

Representative reference available under NDA.

Pricing

Clear pricing for the systems you actually need tested

Start with core product coverage, add connected infrastructure when needed, or scope AI and MCP on their own.

Fixed quote before work begins
Standalone AI and MCP scopes available
Report reading call + one revalidation window included

Choose the coverage path

Core product

Web, API, auth, authorization, and business flows

For the main product surface, with a baseline cloud exposure review.

From $3,500

Connected infrastructure

Cloud exposure, IAM, Kubernetes, and container surfaces

For deeper connected-system coverage when infrastructure risk is part of the real attack surface.

Custom

AI / MCP layer

AI application security, MCP security, and agent-connected systems

For products that need AI or MCP tested on their own, or as part of a wider engagement.

Custom scope

Included in every engagement

These can be scoped together or independently.

  • Standard security report
  • Fix guidance
  • Report reading call
  • One revalidation window

When you are ready

A conversation to start.No commitment required.

Tell us about your product and what you are building. We will explain what we would test, answer your questions, and provide a fixed quote if you would like one.

Request scoped assessment

or view a sample report first

No sales pressure
Fixed pricing, no surprises
You decide the pace