WEBVTT
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This program is designed to provide general information with regards
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to the subject matters covered. This information is given with
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the understanding that neither the hosts, guests, sponsors, or station
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are engaged in rendering any specific and personal medical, financial, legal, counseling,
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professional service, or any advice. You should seek the services
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of competent professionals before applying or trying any suggested ideas.
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Hello and thank you for tuning in to a Shark
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Outlook on pay for HD radio and talk or TV.
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Hi am Angela Sharp your host. I'm on to your
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discussions with industry experts will give you the steps, tools
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and information to be successful in business and to prepare
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you to be.
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Your best self. Hello and thank you for joining us
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at a Sharp Outlook. I'm really excited about this topic
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because I experience a lot of questions while I'm doing
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my work in finance, and so we're going to get
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into it. Cyber threats are becoming more sophisticated, frequent, and
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more personal. At the same time, AI is creating both
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powerful defenses and powerful new risk Welcome to the podcast. Today,
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We're going to dive into one of the most urgent
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issues in business and society, right now cybersecurity in the
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age of AI. We live in a world where almost
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everything runs on connected systems, our finances, healthcare, communications, businesses, infrastructure.
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That means cybersecurity is no longer just an it concern.
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It's a how should I say it? Trust issue, a
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business issue, and in many cases, a public safety issue.
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And now artificial intelligence is raising the stakes even higher.
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AI is helping defenders to detect threats faster, and that's wonderful,
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but it's also helping attackers create more convincing scams, automate attacks,
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and exploit human trust in brand new ways. So Detay's
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conversation is about what's really happening in cybersecurity right now,
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when businesses are still getting wrong, and how AI is
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changing both the threat and the response. I'm joined by
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a leader in the cybersecurity space who works directly with
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organizations trying to protect themselves in rapidly changing environments. We're
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going to go beyond the basics today. We'll talk about
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real risk, hard truths, leadership failures, and what companies need
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to understand before they become the next headline. We'll talk
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about today's biggest threats, how companies should think about cyber
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risk and what the rise of AI means for the
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future of security. My guest today is Doug Simmons and
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Genevieve and we are there from Intelligent Forensics x Inc.
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And Genevieve and Doug have been guested on the show
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before and you can find their previous podcast on a
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Sharp Outlook. You can search on in your podcast apps
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wherever you are and search for a Sharp Outlook. I'd
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like to invite Doug and Genevieve to the show so
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that we can get into this discussion because I tell
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you this can be a areas issue and we need
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experts like them in their helping industries and companies be
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aware of what they're facing, because I don't think they're
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they're aware. They're just all tickled about the AI and
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getting to see the little box and see the little
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pictures and all the little things. But there's a lot
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more too what's going on. So good morning you guys,
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Good morning, good morning. So before we start, if you can't,
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just give a brief description about yourselves and then we're
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going to get into this topic.
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To the.
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HI.
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So my name is is Genevieve? Am I coming through? Okay? Yes, okay, great.
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So I started intelligent computer forensics way back.
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When and good morning, good morning, and then.
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Just recently i've I've included AI of course, and we
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actually are in the process of developing agentic AI with forensics.
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So it's a willing, fascinating, interesting world that we live
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in these days, and we're really excited to talk about
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this topic, this very important topic. And Doug and I
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have been working together on this as well, and he's
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got some good insights as well. So yeah, I've been
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in the industry for a really long time and I'm
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just happy to be a board.
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Thank you, thank you. Good Yeah.
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Yes, my name is security with an IT for a
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long time, but a theory stone. Consider me a dinosaur
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because I am.
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I have a lot involved in.
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The deployment to roll out and the word I'm going
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to use many times in today's discussion governance.
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Of AI.
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And I think that when we get into this, we'll
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see just how important governance is now in an IT environment,
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specifically cybersecurity, protecting information assets, protecting the people of the organization,
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the customers. We knew it was coming for decades. It's
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that we need to discuss today.
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Yeah, that is that is really important. You know, with
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my finance background and tech background, I do believe in
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governance and regulations and processes and policies and oh not
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just having them in a book, but actually following them
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and implementing them. So that's a really important you know,
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and so I'm excited to get into this. So how
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is AI changing cybersecurity from your perspectives?
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You want to go ahead, Doug, Let's go with Jenevie first,
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and okay, if you want to do it that way.
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Okay, sure.
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So the landscape of AI is changing cybersecurity in many
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different ways. People are using it, they're implementing it. However,
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I think what's really we really need to stress here
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is that they are not put in the proper safeguards
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and the guardrails that need to be put in, and
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as the results, there's maliciousness.
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That's coming through.
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And a lot of oftentimes the maliciousness happens through the
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API connections or the MCP connections that needs a gentic
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AI agents are connected to. So we still, even though
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we're using all these different tools, we always have to
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keep in mind security top of mind. Otherwise we're opening
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ourselves to the adversary potentially being able to either sever
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our connection or come in through our connections somewhere or another.
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All the same hacks that are out there that have
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been out there are still apply to AI.
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So it's great to use it, but we teed to
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use it safely.
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Yeah, Yeah, definitely, what do you say done?
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Yeah, the cybersecurity dramatically and for the right reasons, I
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would say, over the past three years. First and foremost,
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like ourselves required to monitor and determine and reacting, detecting,
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stopping behavior from occurring that would lead to the aggressive information,
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the automated manufacturing system, et cetera. There's a lot of
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things that cybersecurity does. Using AI within cybersecurity is a
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wonderful thing because theoretically, and I'll always put it, theoretically,
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you're allowed to do many more things far faster when
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you have AI inside your tool helping you, right, and
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the keyword is helping you because think of it as
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AI as a million little people now in your tool
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that are well trained and are able to scrub and
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look at all of the things, detect you know, what
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is happening, who you know, what systems are talking to,
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what data is being transferred. Who's trying to come in
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from the outside, what's trying to go out from the inside.
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All these things our cybersecurity tools traditionally look at and
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AI AI is now helping these tools look at these
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things and detect far more rapidly and far more pervasively.
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That's a wonderful thing. However, at the end of the day,
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we still need human beings to be able to determine
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what should be done based on the findings by the tooling.
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It will always be that way. And so I'll stop
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this particular proportion of my discussion saying that it is
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incumbent upon panacea.
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It doesn't do it for you.
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It helps you, but you human being, the organization and
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comprised of human beings, are responsible for analyzing the results. Today,
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I find it's you analyzing the recommendations that AI make
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based on what it finds, etc. So, to go back
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to what Genevieve was saying, to be the be all
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end all to do it all, so we can just
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sit up, put our feet up on the desk and
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say things are running smoothly. That is a very very
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dangerous approach, and it's coming to surface now. And as
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we get into this discussion further, I'll have some i'll
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call case studies or examples where companies found out the
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hard way that you cannot just rely on AI to.
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Do it for you.
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You have to be the person, the man in the
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middle of the person in the middle who's looking at
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what's going on and allowing it to continue or going
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down a different path.
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So I'll stop there, thank you.
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Yes.
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Yeah.
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In fact, that's one of the things I've been finding
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out when I'm talking at a company. They must have
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expected it to be able to just you know, place
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human beings and just come up with, you know, solutions.
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But as I was mentioning, if you have bad processes
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and you don't have good policies, and you don't have
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rules and regulations built in that you're following, or you
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don't even know what the solution you're expecting is supposed
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to be, then you're going to run into some real problems.
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And that's what I'm seeing that they're just thinking they
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can just just turn on AI and just no human intervention,
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no people sitting there looking at it and actually analyzing
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what the output is. They're just taking it for granted
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that it's accurate and boy, it is blowing up some
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real egos right now. There are companies having to you know, say,
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you know what, all the stuff I sent you just
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it's all wrong. So now you've lost your reputation and
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people's trust and and you know, it's unfortunate that they
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didn't think that through before they even did this. But
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that's why we're here to try to give them some
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some guidance and some help and give them some resources
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like intelligent forensics SECS to go out and help them.
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Because I'm there having to deal with the cleanup. When
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I go in there, you know, we have a disaster
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that has occurred because they just thought he I was
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just gonna, you know, build their profit line up by
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getting rid of people, and that's not it. So you know,
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what are some of the biggest ways AI is helping
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defenders right now?
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It's not that.
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M hm.
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So I'm gonna I'm gonna go ahead and take over
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here for Defenders's you.
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Hit the nail on the head.
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Okay, okay, so what what the way they use it
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AI now and the defense If you are part of
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the corporation.
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Let me just say one thing.
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I think you hit the nail on the head that
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people are losing their jobs to A. This is not
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a sky is full oh calling you know. I'm telling
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you I have people I know. I have neighbors who
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are losing him lost their jobs.
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And their.
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Employers told them, because we're placing you.
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A, I can do it.
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And as you said, Angela, we're starting to find out.
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Okay, go ahead.
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So to add to that, yes, a lot of corporations
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are letting go of their people because they are under
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the substances that AI is going to take over their jobs.
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It's going to be able to do their job, if
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you will, and they're finding.
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Out that, yes, there is that to some extent.
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However, we still need a person behind the keyboard that's
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really understanding what the AI is doing and kind of
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keeping track of it, if you will, right, because otherwise
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it just kind of it's a wild while West out
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there if we just use these AIS and we don't
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know what we're doing. What companies are doing is they're
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creating AI agents to do their jobs. So they're created
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AI AGENTSY for an assistant, and that's how they're using them.
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In the defense industry, they're creating an AI assistant that
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will actually go out there and be able to gather
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the necessary information at a much faster rate than the sims.
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You know, the actual security information management systems that are
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in place to be able to analyze the traffic a
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lot quicker and then have a return back to the
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analysts and say, Okay, this is what we have. But
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the analyst still has behind the keyboard, it has to
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still determined whether or not that's legitimate. Right, So, because
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of the hallucinations and the bias and the drifting that
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goes on with these agents, we have to ensure that
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that's not happening. Now, you can eliminate all of that
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when I just spoke on spoke on through the AI
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agent if you set it up.
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The proper way.
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So there is a proper way to do that, right,
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So it's going to it actually can go back. It
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can go to vector databases, It can do algorithms that
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are way beyond what a human can do in a
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million seconds of time, and then be able to return
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the information that it's needed to the analysts to analyze. Again,