#Cybersecurity is not a problem to be solved but a risk to be managed. Learn more from this Tower Street whitepaper towerstreet.co/campaigns/ts-a… and watch our on-demand webinar youtube.com/watch?v=E2wHHP…

the $690M in losses announced so far may grow over time. a new bill proposed by warren and others "would have resulted in a $1.5 billion penalty after the Equifax breach revealed in 2017, the bill’s sponsors estimate." fastcompany.com/90345659/eliza…

Security, Risk, and Insurance Peoples: Cost-per-record is a pretty limited model for losses stemming from security incidents. We’re looking for feedback on our industry-specific incident loss modeling. Please share comments on our white paper medium.com/@towerstreetHQ…

The world's largest insurance and reinsurance balance sheets might like to take on more cyber risk, but they can’t without industry-specific modeling on both the security side and on the financial side. buff.ly/2F2vIba

Cost-per-record isn’t a legit model to unlock real capacity in the cyber insurance market. We’ve researched around cyber loss costs and summarised in a white paper we want to continuously improve. Please send us your comments and feedback. buff.ly/2F2spAL

releasing private beta of the world’s most complete breach dataset for cybersecurity risk models medium.com/@towerstreetHQ…

hello friends Center for Internet Security (CIS) we have just released a new cybersecurity risk dataset which includes human annotated CIS controls affected at time of breach. Maybe this could be helpful for an upcoming CIS controls revision? medium.com/@towerstreetHQ…

Cybersecurity risk modelers and cyber insurers might want to sign up for the private beta of the world’s most complete breach dataset for cybersecurity risk models medium.com/@towerstreetHQ…

Deep learning on big dense data has been a bigger focus in the ML community recently, but problems like cyber insurance with small sparse data require Bayesian methods. Walk through an example: medium.com/@towerstreetHQ…

A high level overview of our underwriting models, to be followed by more technical posts: Bayesian Cyber Risk Quantification With Industry-Specific Models medium.com/@towerstreetHQ…

Deep learning on big dense data has been a bigger focus in the ML community recently, but problems like Cyber Insurance with small sparse data require Bayesian methods. Details here medium.com/@towerstreetHQ…

We'll get to see more of these compliance issues happening to corporations as rules hopefully tighten up telegraph.co.uk/technology/201…

Which CIS Controls Matter Most: An Empirical Analysis of Cyber Insurance Risk Assessment medium.com/@towerstreetHQ… << Analysis suggests what CISOs have been saying all along; insurers may not be looking at the best data to access security risk.

Analysis suggests what CISOs have been saying all along; insurers may not be looking at the security controls when assessing security risk medium.com/@towerstreetHQ…

Lack of accessible public data on breaches limit cyber risk modeling and might bias how insurance companies assess risk medium.com/@towerstreetHQ…

Efficiently Bootstrapping Datasets with Machine Aggregation and Human Annotation: a Cyber Risk Case Study that annotates Center for Internet Security (CIS) controls to power FAIR Institute cyber risk quantification models medium.com/@towerstreetHQ…

Second in the series as we open our cyber risk dataset; how we bootstrapped more robust breach records with an annotation toolchain for Center for Internet Security (CIS) controls and loss info for modeling severity to drive FAIR Institute Cyber Risk Quantification models buff.ly/2RVfUMH

This post shares a method and toolchain for human annotation on top of aggregation to bootstrap data for cyber risk quantification. Curious about scaling this to an open community effort; anyone seen something like that work? cc Center for Internet Security (CIS) FAIR Institute buff.ly/2RVfUMH

Cyber risk quantification as a really neat use case of building out a custom annotation toolchain and methodology to bootstrap a dataset you’ve aggregated -- how to dedup, clean up, and annotate with new features. buff.ly/2RVfUMH