• First ANN-GA model for mezcal vinasse electro-degradation. • 95% COD removal is achieved in 8h, meeting regulatory standards. • Cost is reduced by 12% vs conventional RSM optimization. • Process validation proves reduced eco-toxicity and strong profitability. • Strong economic viability with 13.11% ROI and 1.4-year payback. This study investigates the electrochemical treatment of mezcal vinasse, comparing two modeling approaches to maximize the removal of Chemical Oxygen Demand (COD) and Melanoidins (Mel) while minimizing Specific Energy Consumption (SEC). A Central Composite Design (CCD) with Response Surface Methodology (RSM) and an Artificial Neural Network (ANN) coupled with a Genetic Algorithm (GA) were used to optimize initial pH, current density, and cathode material. The RSM model identified optimal conditions (pH₀ = 6.19, j = 210 mA cm⁻², Ti cathode), achieving 92.44% COD removal, 97.63% Mel degradation, and an SEC of 0.192 kWh (g COD)⁻¹ in 10 hours. The ANN-GA framework, however, proved superior, determining parameters (pH₀ = 6.09, j = 236.2 mA cm⁻², Ti cathode) that yielded 94.76% COD removal, 97.75% Mel degradation, and an SEC of 0.194 kWh (g COD)⁻¹ in only 8 hours. Both methods successfully reduced COD to meet Mexican regulatory limits. The ANN-GA strategy demonstrated a clear advantage, accelerating the process and lowering operational costs (OPEX: USD 1.02 vs. USD 1.16), underscoring its potential for sustainable vinasse management. Through Life Cycle Analysis (LCA) methodology, the global warming potential of the process was 6.53 kgCO 2 eq, which can be reduced by sceneries combining renewable sources of energy and fossil fuels.

• Cyber incident disclosure has been proposed as an important tool to create better incentives for cyber security. • This paper outlines lessons for cyber incident disclosure from CO 2 e emissions disclosure. • It is concluded that increased cyber incident disclosure would increase the costs of equity and debt for companies with many and/or severe cyber incidents, and also expose them to shareholder activism as well as to decreasing demand. However, these effects are likely to be smaller than the corresponding CO 2 e emissions disclosure effects. Modern society depends on IT services, but unfortunately, IT services are not always dependable. Cyber incidents occur all the time, caused by bad design or by bad incentives. To address the latter cause, disclosure of cyber incidents has been proposed. Learning about incidents, buyers will find it worthwhile to select and pay for secure vendors, thus contributing to better overall security. While this logic has solid theoretical foundations in the economics of negative externalities and asymmetric information, the practice of cyber incident disclosure is only just emerging, as is empirical research on its effects. However, valuable lessons might be learned from the literature on the more mature practice of CO 2 e emissions disclosure. Based on the extant literature on CO 2 e emissions disclosure, two hypotheses about cyber incident disclosure are derived: First, it is likely that increased cyber incident disclosure would increase the costs of equity and debt for companies with many and/or severe cyber incidents, and also expose them to shareholder activism as well as to decreasing demand. Second, these effects will be smaller for cyber incident disclosure than the corresponding effects for CO 2 e emissions disclosure. The article is concluded with a discussion of implications and future work.