#RiskGovernance

2025-12-19

The FTC has reached a proposed settlement requiring Nomad to return $37.5M in recovered funds and adopt a structured information security program following its 2022 smart contract exploit.

The complaint points to inadequate testing, ignored audit findings, and weak vulnerability intake processes. From an InfoSec perspective, this case reinforces the importance of secure change management and executive alignment on risk.

How can security teams better escalate and enforce risk concerns before deployment?

Source: therecord.media/ftc-settlement

Share insights and follow @technadu for practical security analysis.

#InfoSec #SecureSDLC #SmartContractSecurity #RiskGovernance #FTC #CyberDefense #TechNadu

FTC orders crypto platform Nomad to distribute $37.5 million after 2022 theft
2025-09-27

New free-to-download paper:
"Crisis Preparedness and Systemic Risk: The Role of Municipal Leaders in Disaster Risk Governance in Norway"
doi.org/10.1111/sjop.70015
With Sofie Steinsund, Gianluca Pescaroli, Jarle Eid
 
#Norway #Norge #DRR #CrisisPreparedness #SystemicRisk #LocalGovernance #Governance #DisasterRisk #RiskGovernance #DisasterRiskGovernance #DisasterRiskReduction

CSBJcsbj
2025-06-20

💡 Can a digital portal make nano risk governance easier for everyone—from SMEs to regulators?

đź”— A Nano Risk Governance Portal supporting risk governance of nanomaterials and nano-enabled products. DOI: doi.org/10.1016/j.csbj.2025.06

📚 CSBJ Nanoscience and Advanced Materials: csbj.org/nano

A Nano Risk Governance Portal supporting risk governance of nanomaterials and nano-enabled products. Computational and Structural Biotechnology Journal, DOI: https://doi.org/10.1016/j.csbj.2025.06.024
Miguel Afonso Caetanoremixtures@tldr.nettime.org
2025-04-19

"This paper advances the critical analysis of machine learning by placing it in direct relation with actuarial science as a way to further draw out their shared epistemic politics. The social studies of machine learning—along with work focused on other broad forms of algorithmic assessment, prediction, and scoring—tends to emphasize features of these systems that are decidedly actuarial in nature, and even deeply actuarial in origin. Yet, those technologies are almost never framed as actuarial and then fleshed out in that context or with that connection. Through discussions of the production of ground truth and politics of risk governance, I zero in on the bedrock relations of power-value-knowledge that are fundamental to, and constructed by, these technosciences and their regimes of authority and veracity in society. Analyzing both machine learning and actuarial science in the same frame gives us a unique vantage for understanding and grounding these technologies of governance. I conclude this theoretical analysis by arguing that contrary to their careful public performances of mechanical objectivity these technosciences are postmodern in their practices and politics."

journals.sagepub.com/doi/10.11

#DataScience #STS #Insurance #Postmodernism #ML #MachineLearning #Risk #RiskGovernance #GroundTruth #Epistemology

Client Info

Server: https://mastodon.social
Version: 2025.07
Repository: https://github.com/cyevgeniy/lmst