SecurityScorecard

9 statements across 1 episodes · 2 bullish · 0 bearish · 2 people on the record · first statement Oct 26, 2017 by Dr. Bob Sohval · said 5 times in 1 episodes since 2017 · across every show →

Mentions by year

brought up most by Sam Kassoumeh (4), Dr. Bob Sohval (1)

tap a year for its mentions
0031512017episodesmentions
0112017episodes it came up in
002.50.5512017episodesmentions per episode

every mention, scene by scene, with the transcript →

Everything said about SecurityScorecard, oldest first

Oct 26, 2017
Prediction Not checkable as stated
SecurityScorecard predicted data ingestion would reach petabyte scale by late 2018
“That will grow a factor of six at least next year. And by the end of next year we'll be at the petabyte. Level.”
Dr. Bob Sohval Oct 26, 2017 ▶ 4:37 Cybersecurity Data at Scale // Sam Kassoumeh & Bob Sohval, SecurityScorecard (Data Driven)
Oct 26, 2017
Prediction Not checkable as stated
SecurityScorecard aimed to monitor one million entities by the end of 2018
“We plan on growing that to about one million by the end of next year.”
Dr. Bob Sohval Oct 26, 2017 ▶ 4:30 Cybersecurity Data at Scale // Sam Kassoumeh & Bob Sohval, SecurityScorecard (Data Driven)
Oct 26, 2017
Disclosure
SecurityScorecard observes a 1,000-to-1 ratio of non-breached to breached companies
“The number of non-breached companies, the ratio of non-breached to breached is something like, in our system or our platform, something like a thousand to one.”
Dr. Bob Sohval Oct 26, 2017 ▶ 11:45 Cybersecurity Data at Scale // Sam Kassoumeh & Bob Sohval, SecurityScorecard (Data Driven)
Oct 26, 2017 positive
Disclosure
SecurityScorecard uses homegrown web crawlers to gather risk signals from hacker forums
“We do have various techniques that we've built homegrown that allow us to essentially crawl on things like hacker forums and vacuum in signals of risk.”
Sam Kassoumeh Oct 26, 2017 ▶ 16:58 Cybersecurity Data at Scale // Sam Kassoumeh & Bob Sohval, SecurityScorecard (Data Driven)
Oct 26, 2017
Disclosure
SecurityScorecard operates proprietary honeypots and sinkholes to detect corporate malware
“We are able, we operate our own bank of sinkholes and honeypots to detect malware on, on systems that are at the, on the companies that we monitor.”
Dr. Bob Sohval Oct 26, 2017 ▶ 6:00 Cybersecurity Data at Scale // Sam Kassoumeh & Bob Sohval, SecurityScorecard (Data Driven)
Oct 26, 2017
Assertion Supported
Sohval: Corporate digital footprints by IP count span over eight orders of magnitude
“In terms of digital footprint, number of IPs, that spans more than eight orders of magnitude.”
Dr. Bob Sohval Oct 26, 2017 ▶ 8:45 Cybersecurity Data at Scale // Sam Kassoumeh & Bob Sohval, SecurityScorecard (Data Driven)
Oct 26, 2017
Disclosure
SecurityScorecard collects terabytes of data monthly across IPv4 and dark web
“We collect data from the public internet, entire IPvFOR space, as well as the deep web and dark, dark web, and we're collecting terabytes and terabytes of this information every month in a very automated fashion and a non-invasive, non-intrusive fashion using …”
Sam Kassoumeh Oct 26, 2017 ▶ 3:07 Cybersecurity Data at Scale // Sam Kassoumeh & Bob Sohval, SecurityScorecard (Data Driven)
Oct 26, 2017 positive
Assertion Not checkable as stated
Companies with poor security scores are five times more likely to breach
“Of the probability of a breach given a poor score versus a good score, and we look at our data, and that is a ratio of five, something like that. So poor scores are predictive of breach.”
Dr. Bob Sohval Oct 26, 2017 ▶ 14:44 Cybersecurity Data at Scale // Sam Kassoumeh & Bob Sohval, SecurityScorecard (Data Driven)
Oct 26, 2017
Assertion Not checkable as stated
SecurityScorecard monitored around 200,000 entities as of October 2017
“Currently we monitor in the vicinity of some 200,000 entities, mostly companies, but also government organizations, government agencies, hospitals, different organizations.”
Dr. Bob Sohval Oct 26, 2017 ▶ 4:18 Cybersecurity Data at Scale // Sam Kassoumeh & Bob Sohval, SecurityScorecard (Data Driven)
Made with StarZero

Turn any episode into a week of clips.

This entire site, over 400 conversations transcribed, diarized, checked and made playable, runs on the StarZero media pipeline. Drop in your own episode and the podcast clipper finds the moments worth sharing, cuts them, captions them, and reframes them for every feed.