for test

Views and Studies

04/2023 - Application Security: The threat from the inside that gets ignored

04/2023 - The NYC Local Law 144 & the “hidden” business value of AI Audits

03/2023 - The future of software engineering: generated by AI or humans?

03/2023 - 5 principles on building trustworthy and reliable ML products

02/2023 - Highlights of OWASP - Dublin

12/2022 - AppSec essentials through the eyes of international standards

12/2022 - Stop disrupting your organizational memory

11/2022 - Why your Software Technical Quality is vital for Business Growth

11/2022 - On the road to ensure good AI

10/2022 - How to Manage Costs and Business Risks Related to your IT Landscape

09/2022 - Big Data require Big Responsibility / digital-finance.gr

08/2022 - Software Maintainability in the service of Security by Design

06/2022 - Testing Software Security from inside-out / digital-finance.gr

05/2022 - Fix your recommender system to fix your profitability

05/2022 - Tips on how to secure your ML model

04/2022 - Stop doing security the ‘right’ way

03/2022 - Why is investing in software product and system quality necessary?

03/2022 - Cloud Migration: Get on the trend with pragmatism and transparency / digital-finance.gr 

01/2022 - Redefining IT due diligence for better value creation

04/2021 - In Algorithms We Need To Trust? Not There Yet

11/2020 - Fairness, Accountability & Transparency (F.Acc.T) under GDPR

10/2020 - Is Twitter biased against BIPOC? Maybe it’s not what you think it is

11/2019 - AI | What CEOs, Boards, and Investors Must Keep Top of Mind

10/2019 - Using explanations for finding bias in black-box models. The need to shed light on black box models

11/2018 - Ethos 1.0, or the need to build software with intrinsic human values

05/2018 - Shedding light on Algorithm Accountability

05/2018 - The most valuable tip towards writing highly legible code

News and Features
Conferences
Case Studies
Publications