1 00:00:04,840 --> 00:00:09,440 Speaker 1: Broadcasting live to New York, Bloomberg to Washington, d C. 2 00:00:09,680 --> 00:00:14,920 Speaker 1: Bloomber to Boston, Bloomberg twelve hundred to San Francisco, Bloomberg 3 00:00:15,040 --> 00:00:18,840 Speaker 1: ninety to the country's US exam General one nine and 4 00:00:18,960 --> 00:00:22,640 Speaker 1: around the globe, the Bloomberg Radio plus Bloomberg dot Com 5 00:00:23,720 --> 00:00:28,200 Speaker 1: is taking stock, according to the latest annual cyber crime 6 00:00:28,520 --> 00:00:32,320 Speaker 1: survey that was jointly conducted by CSO Magazine, the U. S. 7 00:00:32,320 --> 00:00:35,400 Speaker 1: Secret Service, as well as Price Waterhouse Coopers, and Software 8 00:00:35,440 --> 00:00:39,520 Speaker 1: Engineering Institute Search program. Do you know that a third 9 00:00:39,560 --> 00:00:42,960 Speaker 1: of the electronic attacks Kathleen on organization's public and private? 10 00:00:43,120 --> 00:00:45,919 Speaker 1: You know where they come from? Yes, you tell me though, 11 00:00:46,000 --> 00:00:50,000 Speaker 1: they come from inside the organization. So you want to 12 00:00:50,080 --> 00:00:54,560 Speaker 1: know what is happening inside your technology network, You're gonna 13 00:00:54,560 --> 00:00:57,640 Speaker 1: have to listen to our next day. Yes. Ed Straw's 14 00:00:57,680 --> 00:01:00,680 Speaker 1: co founder and chairman of Straw's Feed Freeber based right 15 00:01:00,680 --> 00:01:04,920 Speaker 1: here in New York City. Career law enforcement specializing on 16 00:01:05,040 --> 00:01:09,480 Speaker 1: cyber risks and technology led him to this very fascinating company. Him, 17 00:01:09,560 --> 00:01:11,360 Speaker 1: I don't want him to put the software on me 18 00:01:11,400 --> 00:01:14,520 Speaker 1: and never know. Well, let's put the software on Katherine Conry. 19 00:01:14,560 --> 00:01:17,160 Speaker 1: Now she is in the newsroom with a Bloomberg Business flash, 20 00:01:17,640 --> 00:01:20,760 Speaker 1: Thank you, Kathleen wall Street. Starting off this holiday shortened 21 00:01:20,760 --> 00:01:23,960 Speaker 1: week with a retreat. Bank of England Governor Mark Kearney 22 00:01:24,000 --> 00:01:26,640 Speaker 1: warned of prospects for a material slowing in the economy 23 00:01:26,920 --> 00:01:30,319 Speaker 1: and then developing risks from Britain's withdraw from the European Union. 24 00:01:30,680 --> 00:01:33,360 Speaker 1: William Dudley, President of the Federal Reserve Bank of New York, 25 00:01:33,360 --> 00:01:35,720 Speaker 1: said today that Brexit is a cloud on the horizon 26 00:01:35,760 --> 00:01:38,520 Speaker 1: for policy. He added that it's too early to understand 27 00:01:38,520 --> 00:01:41,280 Speaker 1: the full consequences of the vote. Banks are taking the 28 00:01:41,360 --> 00:01:44,160 Speaker 1: largest losses. We checked the markets every fifteen minutes throughout 29 00:01:44,200 --> 00:01:46,840 Speaker 1: the trading day. Down Industrial leverage down one hundred fifteen 30 00:01:46,880 --> 00:01:49,960 Speaker 1: points two thirds of a percent, trading at seventeen thousand, 31 00:01:50,000 --> 00:01:53,480 Speaker 1: eight hundred thirty three. SMP five foundered down sixteen points 32 00:01:53,480 --> 00:01:55,920 Speaker 1: three quarters of a percent at two thousand and eighty six. 33 00:01:56,320 --> 00:01:59,320 Speaker 1: Then nazdak is down forty seven points and nearly one percent, 34 00:01:59,360 --> 00:02:03,000 Speaker 1: trading at four eight sixteen. West Texas intermediate crude oil 35 00:02:03,040 --> 00:02:05,600 Speaker 1: down two dollar sixteen cents a barrel four point four 36 00:02:05,640 --> 00:02:08,720 Speaker 1: percent to forty six eighty four. Spout led up nineteen 37 00:02:08,720 --> 00:02:11,760 Speaker 1: dollars twenty cents an ounce at thirteen fifty ten your 38 00:02:11,800 --> 00:02:15,840 Speaker 1: treasury U seconds at one point three six percent. American 39 00:02:15,840 --> 00:02:18,760 Speaker 1: Express is moving into some new territory. A planet debut 40 00:02:18,760 --> 00:02:21,720 Speaker 1: an online loan platform for small business clients this year. 41 00:02:21,960 --> 00:02:25,720 Speaker 1: Here's Bloomberg's Jenny Seraine. It's actually kind of on both sides. 42 00:02:25,760 --> 00:02:28,240 Speaker 1: There's a lot of these smaller fintech players that offer 43 00:02:28,360 --> 00:02:31,720 Speaker 1: really neat, convenient, easy to use products. But then there's 44 00:02:31,760 --> 00:02:34,799 Speaker 1: also the large and trenched banks like Jping, Morgan Well 45 00:02:34,840 --> 00:02:38,080 Speaker 1: Spargo that offer really similar products um that offer kind 46 00:02:38,080 --> 00:02:40,480 Speaker 1: of low rates but maybe not as much convenience. So 47 00:02:40,480 --> 00:02:42,200 Speaker 1: I think AMEX is trying to slide in right in 48 00:02:42,200 --> 00:02:44,560 Speaker 1: the middle there. And and now look at some of 49 00:02:44,560 --> 00:02:46,799 Speaker 1: the other stories. Thank you, Gatherine from the Bloomberg news room. 50 00:02:46,800 --> 00:02:49,600 Speaker 1: I'm Raimi in aessentio. This news update is brought to 51 00:02:49,600 --> 00:02:52,840 Speaker 1: you by Bentley University. What you're rebooting America's oldest ski 52 00:02:52,840 --> 00:02:55,800 Speaker 1: shop and crunching numbers that Vista Print have in common. 53 00:02:56,200 --> 00:02:59,840 Speaker 1: An NBA from Bentley University that prepares graduates to innovate 54 00:02:59,840 --> 00:03:03,840 Speaker 1: and lead because business is everywhere, prepare here. The FBI 55 00:03:03,960 --> 00:03:07,240 Speaker 1: has recommended that no charges be filed against Hillary Clinton 56 00:03:07,480 --> 00:03:10,519 Speaker 1: over her use of a private email server as Secretary 57 00:03:10,560 --> 00:03:13,920 Speaker 1: of State. FBI Director James Comey told reporters that Clinton 58 00:03:14,000 --> 00:03:17,040 Speaker 1: and her aids were extremely careless with the emails, but 59 00:03:17,120 --> 00:03:21,120 Speaker 1: he said there was no intentional misconduct. State Department spokesman 60 00:03:21,160 --> 00:03:24,359 Speaker 1: John Kirby disagreed with Comey's assessment about how things are 61 00:03:24,360 --> 00:03:27,120 Speaker 1: handled at the State Department. I'm saying that the State 62 00:03:27,160 --> 00:03:32,240 Speaker 1: Department has, in the past and and does today, take 63 00:03:32,280 --> 00:03:36,680 Speaker 1: the treatment of classified information very seriously. Meanwhile, Hillary Clinton 64 00:03:36,760 --> 00:03:39,320 Speaker 1: says if she is elected, she will do all she 65 00:03:39,400 --> 00:03:42,760 Speaker 1: can to stand with America's teachers and fight to improve 66 00:03:42,800 --> 00:03:46,760 Speaker 1: the country's education system. For anyone who has faced a 67 00:03:47,000 --> 00:03:54,920 Speaker 1: hostile state legislature, a union busting governor, or both, how 68 00:03:55,440 --> 00:04:03,240 Speaker 1: is on the way. Clinton addressed the National Education Association 69 00:04:03,240 --> 00:04:07,040 Speaker 1: Assembly in Washington, d C. Today, and longtime New Yorker 70 00:04:07,120 --> 00:04:11,280 Speaker 1: and Tuskegee airman Roscoe Brown Jr. Has died. Brown was 71 00:04:11,360 --> 00:04:13,760 Speaker 1: part of the first African American group to serve in 72 00:04:13,800 --> 00:04:16,520 Speaker 1: the Air Force during World War Two and would later 73 00:04:16,560 --> 00:04:20,080 Speaker 1: be awarded the Congressional Gold Medal. Global News twenty four 74 00:04:20,120 --> 00:04:22,760 Speaker 1: hours a day, powered by more than twenty undred journalists 75 00:04:22,760 --> 00:04:25,440 Speaker 1: and analysts in more than one hundred twenty countries from 76 00:04:25,440 --> 00:04:27,560 Speaker 1: the Bloomberg news room. I'm Rainey and assent to you. 77 00:04:27,800 --> 00:04:32,120 Speaker 1: This is Bloomberg, Catherine, thank you. And now let's get 78 00:04:32,160 --> 00:04:35,000 Speaker 1: a quick check of the equity benchmarks. Down Industrial Hovergetown 79 00:04:35,040 --> 00:04:38,360 Speaker 1: at nine eight points, trimming earlier losses. Currently trading at 80 00:04:38,360 --> 00:04:41,320 Speaker 1: seventeen thousand, eight hundred fifty smp F I founded down 81 00:04:41,360 --> 00:04:44,479 Speaker 1: fourteen points at two thousand eighty eight. Nastakis down forty 82 00:04:44,480 --> 00:04:49,159 Speaker 1: two points at And that's a Bloomberg business flash. You're 83 00:04:49,200 --> 00:04:52,719 Speaker 1: listening to taking stock with pim Box and Kathleen Hayes 84 00:04:53,120 --> 00:04:59,240 Speaker 1: on Bloomberg Radio. Of US organizations believe that they are 85 00:04:59,440 --> 00:05:03,479 Speaker 1: vulnerable to insider threats. That's according to the data security 86 00:05:03,760 --> 00:05:07,120 Speaker 1: firm war Metric. Here to tell us more about security 87 00:05:07,279 --> 00:05:11,080 Speaker 1: threats and how to protect against them is Ed Straws. 88 00:05:11,160 --> 00:05:14,200 Speaker 1: He is the co founder and the chairman of Straws Freeburg. 89 00:05:14,720 --> 00:05:18,400 Speaker 1: You're based in New York City and Mr Straws is 90 00:05:18,560 --> 00:05:21,960 Speaker 1: a former FBI agent. He spent sixteen years with the 91 00:05:22,000 --> 00:05:25,719 Speaker 1: Federal Viewer of Investigation. He was then appointed to form 92 00:05:25,960 --> 00:05:29,440 Speaker 1: a computer crime squad in New York City at the time, 93 00:05:29,440 --> 00:05:33,799 Speaker 1: it was only the third in the country at Straws. 94 00:05:33,839 --> 00:05:35,920 Speaker 1: Thanks very much for being here. Happy to be here. 95 00:05:36,320 --> 00:05:40,479 Speaker 1: This idea of internal threats versus external threats, you know, 96 00:05:40,560 --> 00:05:44,400 Speaker 1: hold your friends close, hold your enemies closer. Uh. Tell 97 00:05:44,480 --> 00:05:48,200 Speaker 1: us how this relates to people in the workforce. It 98 00:05:48,240 --> 00:05:51,480 Speaker 1: relates to people in the workforce two ways. The first 99 00:05:51,680 --> 00:05:55,320 Speaker 1: is you could have an insider that represents a threat, 100 00:05:55,720 --> 00:05:58,320 Speaker 1: and by threat I would say somebody who intends to 101 00:05:58,360 --> 00:06:03,360 Speaker 1: do something that they know they shouldn't do. Maybe they're disgruntled, um, 102 00:06:03,400 --> 00:06:06,200 Speaker 1: maybe they've been paid to do something. But then there's 103 00:06:06,240 --> 00:06:09,359 Speaker 1: another side to it where you're just talking about good 104 00:06:09,400 --> 00:06:13,200 Speaker 1: people who represent one of the biggest risks to your organization. 105 00:06:13,520 --> 00:06:16,560 Speaker 1: That is, they're either careless or in some ways are 106 00:06:16,640 --> 00:06:20,000 Speaker 1: responsible for clicking on an action uh in an email 107 00:06:20,120 --> 00:06:25,120 Speaker 1: that infects the system. And those both those situations malintent 108 00:06:25,720 --> 00:06:28,760 Speaker 1: and maybe carelessness come down to the human factor. And 109 00:06:28,839 --> 00:06:30,440 Speaker 1: so what we've tried to do is say, if the 110 00:06:30,520 --> 00:06:33,719 Speaker 1: human being is the ground zero for the action that 111 00:06:33,760 --> 00:06:37,240 Speaker 1: we're talking about, shouldn't we be analyzing the human being 112 00:06:37,279 --> 00:06:41,680 Speaker 1: as a human being. So and in fact, electronic attacks 113 00:06:41,680 --> 00:06:45,720 Speaker 1: on organizations, public and private come within according to many services. 114 00:06:45,760 --> 00:06:48,160 Speaker 1: You know, that is just noting some of these statistics. 115 00:06:48,160 --> 00:06:51,160 Speaker 1: But so, so what does scout scout do? What is 116 00:06:51,240 --> 00:06:55,040 Speaker 1: what is the program? Like the software the algorithm. So 117 00:06:55,120 --> 00:06:58,760 Speaker 1: Scout is the name of the tool that Strasfreeberg developed 118 00:06:58,960 --> 00:07:01,960 Speaker 1: to try to unders damn people better. And the tool 119 00:07:02,080 --> 00:07:06,520 Speaker 1: analyzes the language that appears in your emails and other 120 00:07:06,600 --> 00:07:09,400 Speaker 1: forms of communication that are written. It does not work 121 00:07:09,440 --> 00:07:13,280 Speaker 1: on voice, and it analyzes the language and the way 122 00:07:13,360 --> 00:07:16,920 Speaker 1: you normally speak and looks to see does it change 123 00:07:17,000 --> 00:07:20,760 Speaker 1: in a meaningful way over time and if it does change, 124 00:07:21,160 --> 00:07:24,120 Speaker 1: in what ways does it change? And we have about 125 00:07:24,200 --> 00:07:28,200 Speaker 1: sixty different attributes that we can analyze about people just 126 00:07:28,320 --> 00:07:31,280 Speaker 1: through their language. Can you give us an example, just 127 00:07:31,400 --> 00:07:35,080 Speaker 1: share with us how this might work? Sure? Um, So 128 00:07:35,280 --> 00:07:38,200 Speaker 1: we drew from psychology, and in fact, the software has 129 00:07:38,240 --> 00:07:41,080 Speaker 1: ten patents on it based not on computer science but 130 00:07:41,160 --> 00:07:46,680 Speaker 1: on psychological science. So we analyze words and relationships two 131 00:07:47,040 --> 00:07:50,000 Speaker 1: of words to each other, the way you normally speak. So, 132 00:07:50,080 --> 00:07:54,480 Speaker 1: for example, if you are normally somebody whom communicates in 133 00:07:54,640 --> 00:07:57,679 Speaker 1: shades of gray talks about well, you know, this could 134 00:07:57,680 --> 00:07:59,520 Speaker 1: work out this way, it could work out that way. 135 00:07:59,520 --> 00:08:01,200 Speaker 1: A kind of it of sense that this might be 136 00:08:01,240 --> 00:08:05,880 Speaker 1: a good idea. You're showing sort of subtle, nuanced communication patterns. 137 00:08:06,320 --> 00:08:08,680 Speaker 1: If you suddenly change from that and to start saying 138 00:08:08,720 --> 00:08:10,600 Speaker 1: this will never work or this is always going to 139 00:08:10,640 --> 00:08:13,280 Speaker 1: go this way, Um, you're now going into a more 140 00:08:13,280 --> 00:08:16,560 Speaker 1: black and white zone. Also, if you refer to the 141 00:08:16,920 --> 00:08:19,680 Speaker 1: organization that you work for in the normal course to 142 00:08:19,760 --> 00:08:23,880 Speaker 1: say this is my company, our business, and then over 143 00:08:23,960 --> 00:08:28,680 Speaker 1: time you start talking about this place the organization, that 144 00:08:28,840 --> 00:08:32,840 Speaker 1: is psychological distance, and there's a reason why your language 145 00:08:32,880 --> 00:08:36,640 Speaker 1: is changing from first referring to it as our firm, 146 00:08:36,640 --> 00:08:40,280 Speaker 1: our company, my company, into one where you put distance. 147 00:08:40,720 --> 00:08:43,680 Speaker 1: So analyzing the sixty different attributes, there's too many to 148 00:08:43,679 --> 00:08:46,360 Speaker 1: go into here, but these are examples of the kinds 149 00:08:46,400 --> 00:08:49,880 Speaker 1: of things that people indicate through their language that psychologists 150 00:08:50,000 --> 00:08:53,080 Speaker 1: understand very well. But nobody had really brought that insight 151 00:08:53,240 --> 00:08:55,880 Speaker 1: into the insider. How accurate is it? Accurate is it? 152 00:08:55,960 --> 00:08:58,400 Speaker 1: How have you tested it? It seems to me a 153 00:08:58,400 --> 00:09:00,600 Speaker 1: lot of people can turn that like get mad your company, 154 00:09:00,600 --> 00:09:02,360 Speaker 1: But doesn't mean you're going to hit it with some 155 00:09:02,440 --> 00:09:04,520 Speaker 1: kind of cyber attack. How do you know this works? 156 00:09:04,720 --> 00:09:07,160 Speaker 1: Now that's true? I think, well, for one thing, if 157 00:09:07,200 --> 00:09:09,880 Speaker 1: you do see this kind of language, it raises a 158 00:09:09,960 --> 00:09:13,000 Speaker 1: question for inquiry, it does not provide the answer, and 159 00:09:13,120 --> 00:09:15,440 Speaker 1: you have to look to see how often is this occurring, 160 00:09:15,760 --> 00:09:22,679 Speaker 1: and we typically flag less than one one persentable communications 161 00:09:22,800 --> 00:09:26,240 Speaker 1: is even deserving any additional analysis. And then you really 162 00:09:26,240 --> 00:09:28,160 Speaker 1: have to look to see, well if it does flag, 163 00:09:28,240 --> 00:09:31,760 Speaker 1: if it does indicate a significant variation and deviation on 164 00:09:31,760 --> 00:09:34,880 Speaker 1: one attribute, do we see other attributes that are moving 165 00:09:34,920 --> 00:09:37,960 Speaker 1: at the same time, And that is what I think 166 00:09:38,000 --> 00:09:40,480 Speaker 1: you need to have. The seltware is designed to make 167 00:09:40,480 --> 00:09:43,200 Speaker 1: sure that you do protect privacy, but you're not left 168 00:09:43,280 --> 00:09:46,680 Speaker 1: in the dark so that you're blindsided. Is it also 169 00:09:46,720 --> 00:09:51,560 Speaker 1: designed to protect intellectual property and also flag compliance issues. 170 00:09:52,960 --> 00:09:55,400 Speaker 1: Intellectual property is one of the most important things to 171 00:09:55,440 --> 00:09:59,199 Speaker 1: guard against because when it is stolen, it tips it 172 00:09:59,559 --> 00:10:02,520 Speaker 1: is not um stolen in a way that deprives the owner. 173 00:10:03,360 --> 00:10:06,640 Speaker 1: Everything that is stolen is still there. So to indicate 174 00:10:06,679 --> 00:10:09,520 Speaker 1: whether or not an individual who had the authority to 175 00:10:09,640 --> 00:10:13,800 Speaker 1: access and copy files is actually um in a state 176 00:10:13,840 --> 00:10:15,760 Speaker 1: of mind where maybe they're going to do something they 177 00:10:15,760 --> 00:10:18,440 Speaker 1: shouldn't do becomes very very key. So the intellectual property 178 00:10:18,520 --> 00:10:23,840 Speaker 1: is quite important. So what's the next step for the company. 179 00:10:23,960 --> 00:10:27,680 Speaker 1: Tell me in a nutshell, Well, we've always been a 180 00:10:27,720 --> 00:10:31,040 Speaker 1: services company at Straws Freeburg, but there are certain areas 181 00:10:31,080 --> 00:10:33,839 Speaker 1: where we cannot find the tools that we're looking for 182 00:10:34,000 --> 00:10:35,840 Speaker 1: and so we had to build them. So the next 183 00:10:35,840 --> 00:10:38,800 Speaker 1: stage for us is really to continue growing the company 184 00:10:38,840 --> 00:10:41,800 Speaker 1: and work with investors to make sure the values there well. 185 00:10:41,920 --> 00:10:44,760 Speaker 1: Fascinating company and obviously the need for it seems to 186 00:10:44,960 --> 00:10:47,520 Speaker 1: be growing, or maybe we've just become aware of how 187 00:10:47,840 --> 00:10:50,320 Speaker 1: great that need has been all along. Ed Straws, thank 188 00:10:50,360 --> 00:10:53,520 Speaker 1: you so much. Co founder and chairman of Straw's Free Work. 189 00:10:53,559 --> 00:10:56,600 Speaker 1: Here in New York City, I'm Kathleen Hayes along with 190 00:10:56,640 --> 00:11:02,720 Speaker 1: pim Fox. This is Bloomberg. Coming up on taking stock, 191 00:11:02,720 --> 00:11:05,160 Speaker 1: will be speaking with Rob Hayworth. He is the senior 192 00:11:05,200 --> 00:11:09,040 Speaker 1: investment strategist for U S Bank Wealth Management, helping to 193 00:11:09,120 --> 00:11:12,520 Speaker 1: manage a hundred and thirty three billion dollars. What is 194 00:11:12,520 --> 00:11:14,679 Speaker 1: he telling his customers to do that's next