As AI gains more and more traction, experts tell me the coming coming year is poised to be a critical one for data privacy, cybersecurity, the fight against Identity theft and fraud as well as scams driven by misuse of artificial intelligence by criminals. I tell you what to watch out for. (this report features clearly labeled AI generated images)
Show More Show Less View Video Transcript
0:02
As the digital landscape continues to
0:04
rapidly evolve, this year is poised to
0:07
be a critical one for data privacy,
0:10
cyber security, and the fight against
0:13
identity theft, frauds, and scams. And
0:15
AI is going to be driving it all.
0:18
There are so many reasons that we're
0:20
concerned about AI and the the issues
0:23
with AI and how that's impacting
0:26
identity.
0:27
Let's look at some examples. Criminals
0:29
are now using powerful AI tools to
0:31
create fake IDs, voice samples, and even
0:35
live videos that can fool even the most
0:37
advanced security systems. The Identity
0:40
Theft Resource Center is tracking those
0:42
abuses.
0:43
We're very concerned that that's going
0:45
to create a lot of opportunities for bad
0:47
guys to impersonate.
0:51
Criminals can create what's called a
0:53
synthetic version of you to open bank
0:56
accounts, apply for jobs, obtain
0:58
credentials like official IDs or credit
1:01
cards. All of it to commit fraud in your
1:03
name. So, you might think, "Hey, I'm
1:06
safe. My data is stored in an encrypted
1:08
site." And the bad guys, they can't do
1:11
anything with encrypted data. Well,
1:13
you're wrong. The criminals are playing
1:16
a long game, already stealing our
1:18
encrypted data today in what's called
1:21
harvest now decrypt later attacks. Then
1:24
they're storing that data, just waiting
1:26
for AI to become powerful enough to
1:29
crack the encryption on your data. In an
1:32
effort to try and combat that,
1:34
technology companies are rolling out
1:35
something called multimodal biometrics.
1:38
It uses AI to combine several different
1:41
physical protections simultaneously.
1:44
That means systems will verify you not
1:47
just with a fingerprint, but by let's
1:49
say combining it with the way you walk,
1:51
the rhythm you type in, and even your
1:53
voice patterns, doing it all at once.
1:56
This continuous authentication will make
1:58
it much more difficult for a synthetic
2:01
or fake identity to fool the system. But
2:04
it also means that our most personal
2:07
data, our physical and behavioral traits
2:10
will be collected and stored and could
2:12
be vulnerable to hacking. I always fear
2:16
that if my fingerprint went in a
2:17
database, if my face went in a database
2:19
somewhere, it would eventually get
2:21
hacked and somebody would use it. At
2:23
this point, with with regard to
2:25
biometrics out there, are biometrics
2:28
going to be also something that we can't
2:30
trust anymore?
2:32
This is a this gets very complicated
2:35
because we have to remember that
2:37
biometrics
2:39
it's not just the biometric data. There
2:42
are a lot of pieces working behind the
2:45
scenes when you're verifying yourself.
2:48
At this point in time, we still think
2:50
that biometrics are the best way that we
2:53
can devalue all of the static data
2:55
that's out there about us and online.
2:58
When it comes to AI, we are at a
2:59
crossroads right now. We have to
3:01
continue to embrace the use of it while
3:04
at the same time using AI to fight the
3:07
bad guys who are trying to misuse that
3:10
technology against us. It is a most
3:13
difficult path to navigate. Working for
3:16
you, I'm the consumer guy, Steve Spraer.
#Computer Security
#Law & Government
#Public Safety

