so it definitely fits into basic being able to automate the redundant main mundane types of tasks that anyone can do right so you if you think about it if you have a security operations center with five or ten analysts it might take one analyst to do a task make two comes two or three hours and where you can leverage a tool like Sansom any type of sort platform to actually create a playbook to do that tasks within 30 seconds so not only are you minimizing the amount of you know headcount to do that you're also you know using your consistent tool to make that folks should make the function of you know more I want to say enhanced so you can build playbooks around it you can basically use that on a daily basis whether it's for security monitoring or network operations reporting all that becomes and the impact of mine thank you so what we do is we are a data analytics and intelligence nonprofit dedicated to countering all forms of human trafficking whether it's labor trafficking sex King or any of the subtypes men women and children all over the world so when you think about that what that really means is that we interact with thousands of state across law enforcement government nonprofits academia and then the private sector as well and all of those essentially act as data silos for human trafficking data and when you think about that as trafficking as a data problem or you tackle it as a data problem what that really means is that you have to have a technology and data led solution in order to solve the problem so that's really our mission here is to bring together all of those stakeholders give them easy access to tools that can help improve their counterpose yeah so like a day to day or like kind of what our team does is we focus on like what's going on previously what are we seeing in the wild like what campaigns are happening and then my role within my team is focused on what's coming so what are what are red team's working on what are pen testers looking into take that information begin testing it begin building proof of concepts put that back into our product so that whether it's two weeks six months two years we have coverage for it no matter what so a lot of us a lot of our time is generating proof of concepts on what may be coming so there's a lot of you know very unique things that maybe in the wild today and then there's some things that we may never see that are just very novel and kind of once one Center once a time kind of thing I joined nine months ago and when I was interviewing for the role I remember Doug Merritt saying to me hey you know we might be the only two billion dollar enterprise software company that nobody's ever heard of he said I want to go solve for that right like the folks you know Splunk and our customers they love us our product is awesome and our culture is awesome but the world doesn't know about us yet and we haven't invested there so I want to go take the brand to the next level and I want the world to understand what data use cases are out there that are so broad and so vast leave that every problem ultimately can be solved through data are almost every problem and we wanted to set the stage for that with this new brand campaign about the product were you guys ad using Splunk and you putting data sensors out there you leveraging an existing data bulb take us through some of that you know the nuts and bolts of what's going on the price so part of it is building out some data sets so there are some data sets that don't exist but the government and the counties and the private sector have built out a huge ball of corpus of data around where the buildings are where the people are where the cell phones are where the traffic is so we're able to leverage that information as we have it today the technology we're using the Amazon stack it's easy for us to spin up databases it's easy for us to build out and expand as we grow and the response we're able to have a place for all this real-time data to land and for us to be able to build API is to pull it out very very simple when we say dated everything we really mean it it's really you know it's a personal story for me I am on the government affairs team here is blog so I manage our relationships with governor's and mayors and these are the issues that they care about right when the city is burning down the mayor cares about that the governor this is you know one of the governor and California's and major initiatives is trying to find solutions on wildfires you know I met charlie my hometown Orinda California art fire chief in that town was one of sort of the outside advisors working with Charlie on this idea and we ran I met him at a house party where the fire chief was telling me that trim my trees back and shrubs back and then I was at a conference three days later that same fire chief Dave Winokur was on a panel with like folks from a super computer lab and NASA and MIT I was like you know my fire chief's still the smartest guy in that panel I got to meet this guy a few weeks later we were literally in the field doing these proof of concepts with sensors and data super savvy folks some of the other folks from Cal Fire there you know dropping Cox was with us today here it's what my and you know we've we've just been collaborating the whole time and seeing you know that that Splunk can really put some firepower the power behind these guys and we just see like look they've got the trust of these customers and we need to make sure this idea happens it's a great idea and it's going to save lives yeah the little small nuance data to everything data time and the reason behind that was we believe you can bring and we can enable our customers to bring data to every question every decision and every action to create meaningful outcomes and the use cases are vast and enormous we talked about some of them before the show started but helping look global law enforcement get ahead of human trafficking fierce Punk and spelunking what's going on across all sorts of data sources right helping zone Haven which is our first investment from Splunk ventures which startup that's actually helping firefighters figure out burn burn patterns with pilot wildfires but also when temperatures and humidity change we're sensors are they can alert firefighters 30 to 45 minutes earlier than they would usually do that and then they can also help influence evacuation patterns I mean it's it's remarkable what folks are doing with data today and it's really at the core of solving some of the world's biggest issues so I'm glad you mentioned data right we're a data company and we're very proud that we actually pull star diversity inclusion number so we moved the needle 1.8% on gender last year year-on-year pride but not satisfied we understand that there's much more to diversity inclusion than just gender but our strategy is threefold for diversity inclusion so its workforce workplace marketplace the farces arranged is where I talk about is improving our representation so that these women are no longer the only czar in the minority they were much more represented and we're lucky we have three women on our board we have four women in our C suite so we're making good good progress but there's a lot more to do and as I say it's not just about gender we want to do we know that innovation is fueled by diversity so we want to attract you know folks of different race different ethnicity books who are military veterans people with disability one its plans to be successful the important thing thing is you know the things you mentioned the the vulnerability scanning the intrusion detection these are all still important in the cloud I think the key thing that the cloud offers is the fact that you have the ability to now automate and integrate your security teams more tightly with the things that you're doing and you can actually we always talk about the move fast and stay secure customers choose AWS for the self-service the elasticity of the price and you can't take advantage of those unless you're secure you can actually keep up with you so the fact that everything isn't based on an API you can define infrastructure as code you can actually enforce standards now whether they be before you write a line of code in your DevOps pipeline we're actually being able to detect and >> those things all through code and in a consistent way really allows you to be able to look in your security in a different way and take the kind of philosophy and mindset you've always had around security but actually do something with it and be able to maybe do the things you've always wanted to do that have never had a chance to do it so I think I think security can actually keep up with you and actually help you different you're different to your business the acquisition is really extremely you know exciting for us you know after meeting Marcus I've known of Marcus he's a very positive influence in the community but having worked with him the vision for threat care and the vision for alike rests really closely aligned so where we want to take the future of security testing testing controls making sure upstream controls are working where threat care wanted to go for that was very much with what we aligned war so it made sense to partner up so very excited about that and I think we will roll that in our gray matter platform as another capability we really see the product involving the same way that you see a lot of the portfolio overall so Doug has talked a lot about investigate monitoring and analyzing and right and so those same concepts apply to how you think about a process as well so right now we're really helping the investigation and monitoring but will also continue to extend across that spectrum lifetime a lot of cloud services and micro services observability a big part of all this yeah definitely and how we've built the product but also I think you can sit alongside some of the other things that you're also seeing in that so I think the thing to understand is correct we're not just a security company but we are number one in the security magic quadrant we're number one in both IDC and Gartner and so that's important but what happens is all of the data that you collect first security can also be used for all these other use cases so generally speaking whatever you're collecting for security is also valuable for IT operations and it's also valuable for many other use cases so I'll give you an example Domino's which is a great customer of ours there they've gone 65% of their orders now come in digitally ok and so they monitor the entire end-to-end customer experience what they monitor not only from an IT operations perspective that same data that they use for IT operations also tells them you know what's being ordered what special orders are being made and they use that data for promotions based upon volume in traffic and timing they actually create promotions so now you're talking about the same data that you collected for a security night operations you can actually use for promotions which is marketing it's a great intro on data is awesome but we all have data to get to decisions first and actions second what that in action there's no point in gathering data and so many companies been working their tails off to digitize her landscapes why well you want a more flexible landscape but why the flexibility because there's so much data being generated there you can get effective decisions and then actions that landscape can adapt very very rapidly which goes back to machine learning and eventual AI opportunity set so that is absolutely squarely where we've been focused is translating that data into value and into actual outcomes which is why our orchestration automation piece is so so important one big 18 factors that we felt as existed is for this plunk index it's only for this blank index the pricing mechanism mechanism has been data volume and that's a little bit contrary to the promise which is you don't know where the values could be within data and whether it's a gigabyte or whether it's a petabyte why shouldn't be able to put whatever day do you want in to experiment you