Privacy, Security, and Artificially Intelligent Drones
Pramod Raheja is the Co-founder and CEO of Airgility, a top designer and manufacturer of unmanned aerial systems (UAS). Airgility is building the enterprise platform for aerial intelligence by enabling autonomous aerial robotics that solve real-world problems to improve and save lives.
Outside of his work at Airgility, Pramod is a Captain for United Airlines and an active member of the Entrepreneurs’ Organization. He also serves as a coach and mentor for FedTech and the Dingman Center for Entrepreneurship, as well as a Member of the Board of Directors at Mindshare.
Here's a glimpse of what you’ll learn:
- Pramod Raheja talks about his life-long passion for aviation and aircraft
- How Pramod’s company, Airgility, combines drones and artificial intelligence to increase safety in a variety of industries
- Pramod explains how cybersecurity and data privacy intersect with AI-savvy unmanned aerial systems (UAS)
- What is remote ID, and why is it important for drones?
- The “responsibility line” for companies and customers interested in using UAS
- What will happen if drone data becomes public information?
- Pramod’s advice for protecting your privacy: don’t share personal information online and use a monitoring service
In this episode…
Do you ever wonder what drones really know about you? Are you looking for a way to protect your data as unmanned aerial systems (UAS) become more and more common? If so, this episode of She Said Privacy/He Said Security is for you!
Let’s face it: personal drones are becoming more popular every year. Not only that, but UAS — specifically artificially intelligent drones — are now being used to positively transform the day-to-day safety of a variety of industries and professions. However, a drone is, as Justin Daniels puts it, a “data collection machine.” From facial recognition to personal location, the information that drones collect is highly valuable to ransomware attackers across the globe. So, what should you know about protecting your data in the age of artificially intelligent drones — and what are drone developers doing to protect the privacy and security of the general public?
In this episode of She Said Privacy/He Said Security, Jodi and Justin Daniels sit down with Pramod Raheja, the Co-founder and CEO of Airgility, to talk about the ins and outs of artificially intelligent drones. Listen in as Pramod explains how Airgility uses drones to promote safety and security, the common data-related concerns with autonomous drones, and the startling possibility of drone data becoming public information. Stay tuned!
Resources Mentioned in this episode
- Pramod Raheja on LinkedIn
- Pramod Raheja on Twitter
- Pramod’s email address: firstname.lastname@example.org
- Jodi Daniels on LinkedIn
- Justin Daniels on LinkedIn
- Red Clover Advisors
- Red Clover Advisors on LinkedIn
- Red Clover Advisors on Facebook
- Red Clover Advisors’ email: email@example.com
- UAS Remote Identification
- Blue Ocean Strategy
- Identity Guard
Sponsor for this episode…
This episode is brought to you by Red Clover Advisors.
Red Clover Advisors uses data privacy to transform the way that companies do business together and create a future where there is greater trust between companies and consumers.
Founded by Jodi Daniels, Red Clover Advisors helps their clients comply with data privacy laws and establish customer trust so that they can grow and nurture integrity. They work with companies in a variety of fields, including technology, SaaS, ecommerce, media agencies, professional services, and financial services.
You can get a copy of their free guide, “Privacy Resource Pack,” through this link.
You can also learn more about Red Clover Advisors by visiting their website or sending an email to firstname.lastname@example.org.
Click For Full Transcript
Hi, Jodi Daniels here. I'm the founder and CEO of Red Clover Advisors, a certified women's privacy consultancy. I'm a privacy consultant and a certified informational privacy professional. And I help provide practical privacy advice to overwhelmed companies.
Hello, Justin Daniels here I am passionate about helping companies solve complex cyber and privacy challenges during the life cycle of their business. I do that through identifying the problem and helping to come up with a practical solution. I am a cybersecurity subject matter expert and business attorney.
And this episode is brought to you by Red Clover Advisors. We help companies to comply with data privacy laws and establish customer trust so that they can grow and nurture integrity. We work with companies in a variety of fields, including technology, SaaS, e-commerce media agencies, professional and financial services. In short, we use data privacy to transform the way companies do business together. We're creating a future where there's greater trust between companies and consumers to learn more, visit redcloveradvisors.com.
And today we're going to be talking about Jodi’s favorite subject
We have here with us and entrepreneur Pramod Raheja is the CEO and co-founder of Airgility. Airgility is dedicated to making a big social impact by creating unparalleled aerial unmanned systems that can fly anywhere, including areas where there is limited or no GPS access and in confined areas, their drones utilize artificial intelligence and machine learning so they can perceive their surrounding, which enables them to map areas, track objects, and provide analytical feedback in real time.
Pramod Raheja (02:01):
Good morning. Thank you for having me today. And you did a great job with that description, by the way. I couldn't have done it any better.
There's no, there's no drone outside that I'm not aware of. That's that's videoing our discussion.
Well, you're going to take all your fun knowledge here and go to go play with the drone this afternoon. All right. Well, we'd love to hear a little bit more about you. How did you get started and how did you find your way to a company focused on drones?
Pramod Raheja (02:33):
Yeah, sure. So the, how it gets, how I got started stories bit long, but I will, I will start, I will give you tidbits. That will form the complete picture, which is to say that when I was a young kid, as far as long as I can remember, I had anything that flew on my walls in my room. So while I'm dating myself here, other picture, other teenagers, might've had pictures of Oh, what was that model's name? Farrah or Christie Brinkley. I had pictures of spaceships and airplanes. And so been a lifelong aerospace engineer and aviator as well. I'm also a man to pilot and have many hours flying manned aircraft and flew, flew a little bit of remote control airplanes as a kid in rocketry and all those kinds of things that are really fun that led me to this sort of domain.
Pramod Raheja (03:23):
However, I deviated from that domain for many years, doing entrepreneurship and mostly B2B service software type businesses. So I've been a serial entrepreneur for quite a long time for 20, probably 25 years now. And about three and a half, four years ago, four years ago now I met my co-founder, who is professor at the University of Maryland building drones. Basically. He was coming up with all kinds of cool ideas and intellectual property. That was very unique. I was introduced to him to, to be a co-founder. It was actually a, a date. It was, you know, we were matched and, and we, we dated for a while and then we decided to start our agility. And here we are almost four years later, you know, doing some of the things that Justin described at the beginning here as he described.
I know you're going to get all into that, but I think there could be almost a whole nother company concept here of the matchmaker for, you know, ideas. And co-founders, that's, that's fun. You could have like a whole dating, like circuit for businesses,
Indeed with artificial intelligence, that'll have an algorithm to tell you exactly who that person should be. That's a good idea. I think it could be a dating app, the hell with the drones and the AI. So speaking of artificial intelligence let's talk a little bit about the company that you have now, Airgility and how you are combining artificial intelligence with the use of drones.
Pramod Raheja (04:56):
Sure. So as you described earlier, we have really unique drones, which in, by themselves are, are, are, are, are quite unique. And we have a patent, a growing patent portfolio on our designs and, and, and, you know, the actual claims that go around those designs and what they can do and what they can't do. However you add in what we call AI layers as you described as well and that includes collision avoidance and sense annoyed avoid capability. What that means is that I could train you to fly the drone in about 10 seconds. I could say, do this, this and this. And you would be flying in, in complex environments without fear of crashing the drone, which is of course everybody's fear. Cause they're like, well, I don't want to, I don't want to fly. I don't want to crash it.
Pramod Raheja (05:41):
And then you, you add in also the event layer, the detection layer, which includes anomalies, events, people, facial and now you have a machine is mobile. They can, you know, move around in 3d space. But also is able have a brain on board. We call it intelligence by our Airgility where we're putting brains onto drones. And the way we do this is we have our own secret sauce of sensor and algorithm fusion that allows us to do these calculations in such a way that we're minimizing the amount of power being used, because one of the biggest challenges with flying a drone or any kind of robot is you're using batteries to power it typically. And in just like our brains if they have to think too much, they run out of power fast and they want to take a nap. And so we've figured out how to optimize their brains with this, these sensors and algorithms working together in concert to only really work on the most important things only when needed.
Well, what are some of the use cases for this type of technology? What types of companies are utilizing this? We'd love to hear a little bit more.
Pramod Raheja (06:54):
Yeah. So the use cases are, are, are just growing exponentially every day. Really the most basic at the most basic level people will think of a drone as taking a picture of a house. So real estate applications, for example, but it gets it, that's just, that's just the most basic, basic level. You can get much deeper than that. So insurance companies are using it for example when there's an accident at a, at a intersection, say, say two cars collide, and there's an accident. A drone can fly around that accident and take a complete 3d scan of the whole thing that helps the investigators both on the insurance side and on the public safety side, figure out what went, what, what happened and they could do it. It can do it very quickly. And then inspections think about cell towers and bridges, bridges around the world are decaying, you know, regularly, and they need to be inspected and fixed.
Pramod Raheja (07:48):
And just about, I think it was three years ago. Now, four years ago, you can Google this. And there was a I'm sure if you just Google Italian bridge that collapsed, you will find this big, huge bridge in Italy that just literally fell apart. And, you know, just like you see in the movies. And so that's, that's a problem. And so utility projects construction activities you know, infrastructure, nuclear, power plants, you name it. There is a thing to do power lines, oil and gas industry always has inspections. And by the way, most of the time, the, they, the way that they're doing these inspections these days is with humans. They're actually going into dangerous places. They're going into tanks and things like that. And actually visually inspecting or taking pictures or video. Why do that and put yourself in risk when the drone can do that?
Pramod Raheja (08:35):
On the public safety side, we are participating in search and rescue and security applications. So think about a drone, maybe that approaches, or it could be a ground robot or could be a drone. In most cases, it's going to be a drone because you don't know where something's going to happen. Right? So let's say there is a active shooter situation or a suspect, what do they have in their hand? Do they have a gun? Do they have a cell phone? Do they have a knife? And that's important information to know and how the first responders are going to approach the situation and actually handle it. Just a few days ago, I think somebody was shot because the officer thought they had a gun in their hand. And in fact it was a cell phone. If you had some sort of AI that approached that scene prior to the first responders showing up, which is the idea, they can give them some intelligence, some situational awareness to say, okay, here's what's going on and I can give you many other real life. Examples of that sort of thing.
Pramod Raheja (09:30):
I, I have a question I can see you're so excited, but I have a question. Yes, a couple of things actually come to mind when you were talking about that. One of them being kind of in that particular example, there that's a moment where there's not a lot of time to sort of wait, find a drone, get it, fly it over. How are people utilizing this in a bit of real time is, is kind of the first question. And then the second is many of the examples you shared are outside, which make a lot of sense. Are you seeing the use of these inside as well? I mean, Justin thoroughly enjoys taking pictures of our house and us and our dog completely understood all of the outside ones. I would love to hear about some examples other than residential real estate picture taking, which I have seen for indoor use.
Pramod Raheja (10:25):
Yes, absolutely. So so absolutely in fact, we, that's what we do at our airgility. We focus on the indoor mission. Now we can fly outside, of course, too. So imagine flying from the outside, through a window or a door in, into a situation where there's maybe an active shooter or you're trying to find something and it's a little bit dangerous. So you send in the drone first. That, that is one example and there are many law enforcement agencies that would like to see that sort of capability really become more ubiquitous. On the idea of inspections, there are many tanks and things that hold whatever they hold, water oil other things that need to be inspected on a regular basis. And right now they're probably not probably, I know they're had done in a very rudimentary manner. They're not really, there's no scientific way of doing it.
Pramod Raheja (11:12):
They're just literally visually inspecting it. So typically when you do that, you're looking for anomaly, anomaly anomalies that meet a certain criteria or parameters, right? So you can program the artificial intelligence to look for those criteria or parameters and go inside into a tank. For example as an example, we just flew inside a barn silo just as a, as a flight test a few days ago, just to prove that we could, you know, go into dark conditions where there's no light. That's another thing that from a technology capability perspective, if you're flying into a dark situation, can you, can the drone fly without light? You know, can it, can he go into dark situations or can it go into varying light conditions from light to dark or dark to light? That's not as easy as you think. And we can do that. And so that's another example, a couple of examples of, of the indoor mission.
Super cool. So now I think we're going to talk a little bit about, well, drones and AI. How does that intersect with privacy and security? And so to frame this up – to get your thoughts are when you have a camera that has artificial intelligence and you put it into a drone, you are literally creating a data collection machine and would love to get your thoughts and perspective as how you view privacy and security as coming into play. As you grow this company, because let's take for example you know, you fly in to first respond. You may go over children. You may have artificial intelligence that may identify Jodi in her car because she has a a license plate and the AI identifies the license plate, attributes it to Jodi. So as you are building this business and you are aware, you know, generally about privacy and security, how does that factor into how you balance those two things versus building a business, getting more customers being profitable?
Pramod Raheja (13:11):
Sure. So I think there's a, there's a lot to unpack there. First of all I, one thing I will add and this is probably a bigger number. Now, the last numbers I saw was that the FAA estimated that by like 20,23, there would be 800,000 plus drones operating in the United States. Many for commercial purposes, such as the applications, we just talked about aerial inspection, utility construction, real estate, et cetera. Well, the way drones work, just like any, just like your cell phone, you have software which is also called firmware. So this is how your software works with that piece of hardware, that mobile phone, or your cell phone to run the applications on the drone. And then yes, of course the drone will now store the data and we'll communicate via wireless connection to ground stations in some form or fashion.
Pramod Raheja (13:59):
All of those things are exploitable by hackers, right? And so those are vulnerabilities where they could take over the drone gain, access to your system and network. So this becomes a very important consideration and I think that those rules and things are still being worked out. And, and when I said there's a lot to unpack here, it's not just, how do we protect the drone, somebody hacking, but what types of data should we be collecting? You know, for example, if we talk about law enforcement, I was, we just were, we've been part of a couple of smart cities programs. And one of the things is that we asked the some of the police as we were going through these programs was, you know, Hey, you know, from a privacy perspective citizens going to have some concern over you watching them aren't they, and the response from the police officer was we don't have time for that.
Pramod Raheja (14:50):
We're too busy trying to get the bad guy or this or that. We don't have time for that. That doesn't answer the question. Of course. So I do think that there's still a lot to unpack there on the, on the defense or DOD side or the, you know, from a cyber perspective the government is coming out with their own regulations and requirements. I should say, if you're going to build a drone and you're going to sell it to the government, it has to have certain requirements. So from our perspective, how we handle this, as we work with top notch firms that handle embedded software, you know, that are better than a piece of hardware. And so we're addressing those things. The other thing that I'll add is that you, as you asked that very, very broad question, which was great question, but a lot there is the ethics and the, I sort of touched on that with the police there's a second ago, but there's this term of, you know AI ethical, ethical AI, like, okay, how do you use AI? What can you actually use it for? And that too is still one of those things that it's in its infancy and really, really, you know, trying to be understood and policymakers are, are right now, I would say, as we speak, trying to figure that out. So I've been on a few conferences and panels with you know, so-called experts that are talking about this, and really everybody's still trying to figure it out
Pramod – any thoughts about, like, for example, our viewers may not know, but just the past week, the FAA went public and finalized its rule to start allowing drones, to fly over people, over vehicles and assemblies and, you know, under certain circumstances, which is a huge opportunity for the industry. But then you also have remote ID. Would you care to share with our audience as a thought around remote ID?
Pramod Raheja (16:32):
Yeah, absolutely. So just like a manned aircraft. So when an manned aircraft gets certified by the NSA, it has to meet certain requirements. So it has to have certain types of lights. It has to have certain types of communication mechanisms that you know, where the aircraft is at all times. And so that way, when it's, when you're flying around in airspace with other airplanes and other helicopters and things like that, that you're not going to hit each other, it's very basic problem. It's, let's avoid, let's avoid collisions, right? So as you incorporate drones into the airspace system, and now they become integrated with manned aircraft, they have to meet certain requirements. They have to be able to file a flight plan. For example, all that means is if I'm going to drive from point a to point B, the drone was going to fly from point a to point B.
Pramod Raheja (17:14):
It has to, it has to avoid sensitive areas. It's not going to be able to get near airports is not going to go be able to go maybe above a certain altitude. And now as it's flying around with these altitudes, and it has these flying around with other drones, you have to have the ability to identify well, who owns that drone? You know, who are they flying for? Just like in the airlines, you know, you know, if it's an American airlines flight or a United airlines flight or a private plane or a helicopter from the police, you know, who's flying at that given moment in time at that altitude and what they're doing and where they're going. And so it's the same thing with drones. And then you have safety mechanisms that are another piece of it, right? So, so you mentioned remote ID that's one of them is to always know where something is and know to be able to ID that drone and who owns it.
Pramod Raheja (18:00):
And so it'll have some sort of identification number, and then it'll also have certain like edgy collision lights that you can see, you know, if you're flying your drone or you're flying a manned aircraft and you see something and see that it's there and makes it more visible in the, in the, in the, in the sky, whether it's day or night. So there's going to be a number of a number of those things that I think over the next year, as operators will have a certain amount of time to basically implement these on their drones in order to be able to fly over people, as you mentioned. And then and then operators also want to comply. And, and some of those will be safety mechanisms, mechanisms such as a parachute system. For example, if the drone you know, falls out of the sky, which could happen, you know, if you have a malfunction, right. The other thing that will come down the pike is maintenance requirements. I know that's not cyber privacy, but the, you know, making sure that those drones are maintained just like a manned aircraft or not just like, but analogous to that,
Actually I do. I do think that there's a connection. If you think about maintenance, you're going to have hardware and software and a big part of maintaining the software is also going to help prevent any type of cyber threat actor. Because we know that if this is just yet one more type of technology, that the threat actors will figure out how to come and hack a drone and interfere with whatever special activity it's intended to do. For sure. I had a question you had mentioned around, you know, the ethics and how companies need to determine what data they can and can't use. Can you share a little bit about a company who might come to you as a customer, and maybe they're not as familiar with this, or they have these grand visions of gosh, look at everything that I can do. Maybe what some of those requirements are from the FAA that you had shared and or what, what they need to be thinking about, or kind of where's the balance of what your company needs to be considering versus what the customer needs to be considering almost like where's the, where's the responsibility line.
Pramod Raheja (20:02):
Yeah, that's a great question. And I think that that's, again, a large sort of one to unpack, to some extent the questions around here. Absolutely. And of course the answer is really, it depends, right? So if we're working with a federal agency, the requirements are going to be quite different than a private – in the private operator that maybe, you know, is doing something that doesn't really you know, it's not, it's not doing anything where they're taking people's information or data or seeing people. So I mentioned earlier facial recognition, right. For security settings. So we're one of the things we're focused on is security solutions. So what, what, what, what could that be in the private sector? It could be large construction, for example, where they're, you know, they're, they're, they're huge, there's acres of land where they need to make sure that they keep it secure.
Pramod Raheja (20:54):
One real-world application also that we're working on right now that we potentially might work on is securing a ginseng farm. So that sounds interesting and funny, but ginseng is something that takes seven years to actually from the crop to get to where it needs to be mature enough to be harvested. It's really a thing that, you know, that people will poach actually. And and so we've talked to farmers that would love to have 24, seven eye in the sky around their perimeter. Right. and so those are solutions we're working on, but they're, that's a good question, like, okay, in that case, more than likely the data is going to be owned by the client, it's their farm that, you know, they're, they're, they're, they're going to they're going to have access to that data and be able to do it with what they please, however, at what point do you draw the line of, okay, somebody is trying to cross into my farm and I, I I've taken a picture of them now and I have them and I can probably maybe match them in a database if I really want to and see who they are.
Pramod Raheja (21:52):
At what point do you draw that line and say, I can do something with this, or I can't right now at the most basic level, you're going to take a picture maybe, and send it over to law enforcement. And that, that might be the end of it. However, I think there's a list of questions there. What do you do? You know, and, and can you keep that information and all those kinds of questions that I think are still, some of them, you know, are answered and some of those are still being answered or will be answered as drones become more ubiquitous.
And Jodi, I'm going to throw out a question for the two of you along the lines of what we were discussing, which is, let's say Pramods companies hired in a municipality setting where like in the city of San Diego, they're going to fly a military grade drone way up above the sky, 20,000 feet up with AI in the camera. And they can take pictures of license plates and whatnot, because that helps with traffic flow. Because of course, we're probably going to get back into gridlock here pretty soon but it sets up my question and that's this, if what if you made the decision to say, Hey, that's information, we're going to put it available to the public. And I find it interesting because how was clear, how has clear view AI become the force in the market with law enforcement? Because they did what …They scraped, they went and scraped faces and pictures off of publicly available sites on the internet and now with drones. And if you have that kind of public safety implementation and you make that data available, where do you draw the line in terms of making that information publicly available and what can be done with it? Because Pramod, it really becomes like open source information for the threat actor they use that they use Facebook for that already.
Pramod Raheja (23:43):
Absolutely. That's, that's true. And, and I will add you know, within our company, one of the reasons we went indoors is if you think about from this is now more of a business response to you. So cause some of the things that you've mentioned still don't have, you know, a hundred percent answers, right. But you know, if you think about the business business perspective, there's something called blue ocean strategy. So when we started our company a few years ago, we were actually going down the path of first designing and implementing or wanting to have a solution around delivery and logistics. So what you just mentioned earlier about the FAA, approving flight over people and all those kinds of things that, you know, still will take some time to develop. However, we decided to go indoors intentionally flying around in a GPS denied environment or GPS free when you're not depending on GPS to operate your vehicle is a very difficult problem to solve.
Pramod Raheja (24:41):
We felt like we could solve it. We were working with DHS on this exact problem. And we, we were funded to help, you know, to do that. And so we've developed a solution now. Well, the good news about that solution from the kinds of questions that we're talking about here is that unless, you know, especially on when you talk about inspections and things like that there's not a whole lot of data there that people care about, right. If I'm inspecting the wall of a tank, like, does that become an, does that become an ethical problem? Probably not. Now if I'm securing an indoor location, a large warehouse or something like that. And there's a drone flying around yeah, there may be some other implications. Now, if I'm doing that in a private setting, maybe I'm working for Amazon and one of the big warehouses or something like that it may not matter because that's a private company and they own that. They own that information and they have the rights to kind of see when you come and go. Right? So, so in our case, we sort of, I'll just say we punch it, question down the road a little bit, as drones become more ubiquitous and our solutions start to grow, it absolutely is something we are thinking about and figuring out,
You know, what's interesting about what you just said is that's where entrepreneurship and drones met, because you said, you know what, everybody's looking to use drones outside, but look at all these indoor applications and Oh, better yet, the FAA doesn't regulate what goes on with drones inside. So you were saying, this is a harder problem to solve, but it's one that has some really different parameters that could really help jumpstart the growth of your entrepreneurial opportunities.
Pramod Raheja (26:10):
Absolutely. And some of the things that our drone can do, I haven't seen it or only a handful of companies can do what we are doing indoors. So it's, it's a much smaller subset of course, over time that will grow. And of course there's competition. And of course but the good news is even with competition and sort of only a handful of companies, the validations out there already. And so now it's just now comes kind of a marketing and sales exercise and we got to get out there.
Well, you had asked me when I thought on the privacy side, I don't think there's a perfect solution
Because when you're out in the public space, you generally speaking, don't have the sense of privacy. However, there's this notion of what is considered publicly available information. And when you look at one of the laws, publicly available information is generally no it was just randomly on the internet for anyone to find publicly available information is generally connected to a government you know, activity, some something that's available in that sense. But a driver's license is also kind of another interesting one because there's plenty of locations that sell the driver's license information. So what we thought was a government ID and government protected information they're selling in a variety of different places. I think it's, it's, I don't have a good answer other than it's one that will continue to morph. And there'll be someone who will continue to misuse the data and will likely set a precedent of what will happen in the future. I do think though that the indoor use still has it a similar situation, because imagine a stadium or some type of indoor events where you're collecting information that way you're still, if you were to ever connect the dots, you could still have the same type of scenario. Maybe just not as great.
Or what they'll do is if I go to the sporting event, when I get my ticket online, because there really aren't tickets anymore, there'll probably be some boiler plate that says I'm going to consent to the use of my likeness and there's going to be a drone there. And it, it just creates a whole bunch of interesting issues. My point was just to identify these issues, because I've seen in too many industries with social media and others, something has to blow up before people were like, Oh, there's privacy and security. Yeah. Ransomware's a trillion dollar industry for a reason.
Right? No, I think it's a good point. And I do think that anyone who's looking to utilize a drone indoors or outdoors, a big part of what we're trying to emphasize is that you have to consider the data that's being collected and used in what, what would someone think if they knew what was happening? Would they say, well, I'm in the public and my license plates public, so, okay. Or I'm in a stadium and you know, everyone else's here and somewhere, I knew that they were going to take a picture of me and put me on the big video cam thing. So it's okay. It's in a drone or would they kind of do what I call the very fancy, scratch your head test and question, what is happening with all that being said, Pramod, we've been chatting all day about privacy. So since you do have to consider privacy and security, and this is the, She said, privacy, He said, security podcast. What is your best personal privacy tip?
Pramod Raheja (29:28):
Okay. That's, that's good. That's good. My best privacy tip and this might not have anything to do with drones. And certainly I can certainly try to answer it from that perspective. I would say, don't share your birth date and your social security number out there, unless you have to absolutely have to.
It amazes, how many places a doctor's office will still have the social security number on a paper form. And I know they're not using it because when I leave it blank, no one ever questions me. They barely even take the dopey paper form.
Wait a second. What about everyone on Facebook? Who said, who gets the thing? Oh, it's Jane's birthday today and she's 34. That's
Pramod Raheja (30:12):
I will give you one other tip that, that, that maybe is, is even more stronger than don't share, because like you said, some of that stuff is available publicly or on Facebook. And that is I use a monitoring service, anytime anytime, anything, anybody tries to pull something on me, I get alerted whether it's a public record or or, or a credit, whatever, you know, inquiry, whatever that I get an email and then I could go and see who did that. You know? So as, as you know, every year when we do tax, when the County does tax assessments, they'll they'll do an inquiry, you know, not a credit inquiry, but stuff they'll, you'll you'll know that they're doing it, you know, they're pulling your records. And so I would say that's even a stronger one because somebody hopefully got your back there. Do you?
I was going to say, can you share which one you use?
Pramod Raheja (30:59):
Yeah. I use identity, Identity Guard is what I use.
Thank you. We'll we'll put that in the show notes so that people can check that out. Okay.
And so now for the most important question is when you're not droning talking about AI or hanging out with the kids who go to Virginia tech, what do you enjoy doing for fun?
Pramod Raheja (31:23):
Oh gosh. That's, that's a big question too. I love everything outdoors athletics. So I like hiking, biking, swimming,
Pramod Raheja (31:35):
Yeah. Yeah. In any sport I can play any sport at any time. I love all sports, tennis, soccer, you name it. I do all, all of that when I can, or when I have a chance to so, you know, just pretty much any, any kind of game or, or outdoorsy type of thing. But I would say my favorite is kind of being out in the wilderness, outdoors, hiking, and climbing and that sort of thing.
Well, thank you so much for sharing all this really fascinating information. If people like to learn more about you and the company, where can they go?
Speaker 1 (32:10):
Absolutely. I'm all over publicly available on LinkedIn. My first, last name Pramod Raheja, you'll find me Twitter. That's my Twitter handle. And you can check us airgility.co and email email@example.com as well. So find me on LinkedIn, Twitter, or Facebook or message me directly.
Wonderful. Well, and we'll also include all of that in our show notes. So thank you again for being on the show. We appreciate it. It was awesome.