endorsedCompleted

Vulnerability Modeling App — Staff Augmentation for Cybersecurity Firm

Services Covered:

Staff Augmentation • Custom Software Development

Industry

Information Technology

Duration

11 months

Budget

Confidential

Start Date

1 February 2020

Team Size

1-5 Employees

Engagement Model

Offshore

Project Capability Score (PCS)

79/100

Good

Project Capability Score (PCS) estimates how capable Apriorit is of successfully delivering a project like this, based on its past experience, track record, and ability to handle similar work. Learn more about PCS

Client

Confidential

Israel

Project Summary

Apriorit provided staff augmentation to a risk-assessment and cybersecurity firm in Israel to develop a vulnerability-modeling solution. They used reverse-engineering expertise and Python development to implement existing designs into an app and integrated their code back into the client's product across three integration cycles. The vendor passed all client tests, met the one-year timeline, and helped strengthen the client's offering in the automotive market.

Key Challenges

Needed additional development resources to complete a complex in-house vulnerability model
Required reverse-engineering and development expertise to implement models into an application
Wanted to outsource non-core tasks and scale development capacity

Project Deliverables

App implementation of existing designs
Reverse-engineering tooling and automation models
Integrated code merged into the client's product

Project Solution

Apriorit supplied developers who began with a small, trial reverse-engineering task and then executed a full engagement to implement the client's existing designs into an application. Work included reverse engineering (using tools such as IDA Pro and Ghidra), Python development to build automated models, and three integration cycles to merge delivered code into the client's internal product. The vendor worked with a senior and junior developer day-to-day, with occasional project-manager involvement, and coordinated via daily meetings over the year-long engagement.

Project Outcome

All tests passed as specified by the client
Improved competitive advantage and strengthened the client's automotive-market offering
Project completed on schedule (approximately one year) with strong project management and daily progress updates

Platforms

Tech Stack

Python

Client Endorsement

Overall Review Rating

Timeliness

Cost Rating

Willing to Refer

Quality of Deliverables

“With their code passing all the tests set forth, Apriorit worked diligently to make the engagement successful and give the client a competitive edge in their industry. They provided strong project management, stuck to their timeline, and held daily meetings to provide progress updates.”
Anonymous
Head of Research
Date: 02/22/2021