WEBVTT

1
00:00:00.330 --> 00:00:02.730
Tom Field: Hi there, I'm Tom
Field. I'm senior vice president

2
00:00:02.730 --> 00:00:05.580
of editorial with Information
Security Media Group. The topic

3
00:00:05.580 --> 00:00:08.820
of conversation is why it is
near impossible for humans to

4
00:00:08.820 --> 00:00:12.630
beat cybercrime alone. Look who
we've got in ISMG Studios -

5
00:00:12.840 --> 00:00:16.020
Bipul Sinha, he is the
co-founder and CEO of Rubrik.

6
00:00:16.380 --> 00:00:18.630
Bipul, thank you so much for
taking time to speak with me

7
00:00:18.630 --> 00:00:18.960
today.

8
00:00:19.199 --> 00:00:20.849
Bipul Sinha: Thank you so much
for this opportunity.

9
00:00:21.020 --> 00:00:23.840
Tom Field: Well, I want to start
here. Let's talk about why it's

10
00:00:23.840 --> 00:00:27.740
become so tough for humans to
fight cybercrime on their own.

11
00:00:28.010 --> 00:00:30.350
Cybercrime has grown up
considerably in the last several

12
00:00:30.000 --> 00:00:33.630
years.

13
00:00:30.000 --> 00:00:34.230
Bipul Sinha: It is actually
almost impossible to human to

16
00:00:34.230 --> 00:00:39.450
comprehend the scope, velocity
and variability of cyberattacks

17
00:00:39.450 --> 00:00:42.930
because our data is everywhere -
it's on-premises in the data

18
00:00:42.930 --> 00:00:46.410
center, it's in the cloud
platforms, and all sorts of SaaS

19
00:00:46.410 --> 00:00:50.340
applications, and it increases
the surface area of attack. And

20
00:00:50.340 --> 00:00:54.300
for folks to understand,
correlate, causate, what started

21
00:00:54.300 --> 00:00:56.730
where and when, it is almost
impossible.

22
00:00:56.730 --> 00:01:06.000
Let's talk about machine learning and artificial
intelligence. Anecdotally, of course, we hear well, they make
phishing notes and ransomware notes more sophisticated and

23
00:01:06.000 --> 00:01:10.170
harder to detect. Specifically,
what's been your experience?

24
00:01:10.780 --> 00:01:14.950
If you look at AI/ML, it is, it
can be used for good, it can

25
00:01:14.950 --> 00:01:18.760
also used for nefarious
purposes. The bad actors are

26
00:01:19.060 --> 00:01:23.710
using AI/ML to really trick us
human beings to click into an ad

27
00:01:23.950 --> 00:01:28.300
to actually give us an offer
that we can't refuse. Or they

28
00:01:28.300 --> 00:01:32.560
actually are enticing us in
different ways and also taking

29
00:01:32.560 --> 00:01:34.720
advantage of human
vulnerabilities such as

30
00:01:34.720 --> 00:01:39.220
procrastination, such as our
ability to quick react to an

31
00:01:39.220 --> 00:01:42.880
offer, which could be an attack.
But on the other hand, AI/ML can

32
00:01:42.880 --> 00:01:47.620
also be used for good for really
to understand what is the intent

33
00:01:47.650 --> 00:01:51.640
of a particular event: If this
event is correlated to a broader

34
00:01:51.640 --> 00:01:55.030
set of activities? Is this could
potentially be a zero day or

35
00:01:55.030 --> 00:01:59.110
could potentially be an
unpatched vulnerability, where

36
00:01:59.110 --> 00:02:03.730
the humans can intervene by
using the artificial

37
00:02:03.730 --> 00:02:06.550
intelligence augmentation to
really solve the problem?

38
00:02:06.000 --> 00:02:09.390
Tom Field: Well, you talk about
how AI can be used for good.

39
00:02:09.420 --> 00:02:12.420
Number of vendors they are
trying to infuse AI into the dev

40
00:02:12.420 --> 00:02:14.280
process from the get go. What
are you seeing?

41
00:02:14.760 --> 00:02:17.370
Bipul Sinha: We have been
working on AI for the last five

42
00:02:17.370 --> 00:02:20.910
or six years because what we
fundamentally understood is, AI

43
00:02:20.910 --> 00:02:24.090
can be applied on the
mission-critical business data

44
00:02:24.090 --> 00:02:27.510
of the customers to really
derive security intelligence out

45
00:02:27.510 --> 00:02:30.180
of it, such as how far
ransomware has gone or

46
00:02:30.180 --> 00:02:33.150
cyberattacks have gone? What is
the sensitivity of the content?

47
00:02:33.180 --> 00:02:36.930
Is there malware sitting in the
data? When customers understand

48
00:02:37.230 --> 00:02:40.830
the data risk, they can really
restore their operation upon an

49
00:02:40.830 --> 00:02:44.670
attack. Obviously, prevention is
important. But resilience, which

50
00:02:44.670 --> 00:02:46.380
comes from data security is the
key.

51
00:02:46.810 --> 00:02:50.170
Tom Field: Bipul, Rubrik, you've
got a CISO advisory board. So

52
00:02:50.170 --> 00:02:53.110
that you are a little bit about
it first, but how is the CISO

53
00:02:53.110 --> 00:02:56.500
advisory board helping you
formulate some best practices

54
00:02:56.500 --> 00:02:58.270
that you in turn can share with
your customers?

55
00:02:58.540 --> 00:03:01.540
Bipul Sinha: So if you look at
us in Silicon Valley, we are

56
00:03:01.540 --> 00:03:04.750
living in the technology bubble
in Silicon Valley. And all the

57
00:03:04.750 --> 00:03:09.160
magic happens at the customer
sites when the CISOs and CIOs

58
00:03:09.160 --> 00:03:11.440
are solving real business
problem. And we need to

59
00:03:11.440 --> 00:03:15.790
understand their perspective,
their feeling and their vision

60
00:03:15.790 --> 00:03:18.190
for the future for their
businesses. And how do we

61
00:03:18.190 --> 00:03:21.340
translate that into products and
features that we build, and that

62
00:03:21.340 --> 00:03:23.890
is the outside-in and inside-out
relationship that we are

63
00:03:23.890 --> 00:03:27.310
building with CISOs and our own
CISO advisory board is helping

64
00:03:27.310 --> 00:03:30.520
us formulate the product
direction road map to really

65
00:03:30.520 --> 00:03:32.830
solve the problems of today and
tomorrow.

66
00:03:32.000 --> 00:03:35.030
Tom Field: So your clients
benefit from what you get from

67
00:03:35.030 --> 00:03:36.290
the CISO advisory board?

68
00:03:36.440 --> 00:03:37.280
Bipul Sinha: Absolutely.

69
00:03:37.550 --> 00:03:40.310
Tom Field: They also benefit
from partnerships you have with

70
00:03:40.580 --> 00:03:44.330
stalwarts such as Zscaler,
Microsoft, Palo Alto Networks.

71
00:03:44.330 --> 00:03:46.310
What are some of the benefits of
those partnerships?

72
00:03:46.330 --> 00:03:50.260
Bipul Sinha: See, the thing is
that the scope and variability

73
00:03:50.260 --> 00:03:53.890
of the attacks as I was saying
is so huge that one vendor alone

74
00:03:53.890 --> 00:03:56.560
cannot solve the problem.
Cybersecurity industry

75
00:03:56.560 --> 00:03:59.290
traditionally focused on
prevention of attack, but the

76
00:03:59.290 --> 00:04:03.490
new world is resilience, is data
security. And how do you bring

77
00:04:03.490 --> 00:04:07.030
this infrastructure security and
data security together to

78
00:04:07.030 --> 00:04:10.030
provide end-to-end zero trust?
That's what we are doing with

79
00:04:10.270 --> 00:04:14.230
Zscaler, with Microsoft, with
Palo Alto Networks. Our goal is

80
00:04:14.230 --> 00:04:18.100
to be a vendor that brings the
data intelligence into the

81
00:04:18.100 --> 00:04:21.550
SecOps so that the SecOps can
fully understand from

82
00:04:21.550 --> 00:04:23.470
infrastructure risk to the data
risk.

83
00:04:23.500 --> 00:04:25.150
Tom Field: What's a good way of
saying and we started this

84
00:04:25.150 --> 00:04:27.910
conversation by talking about
why it's near impossible for

85
00:04:27.910 --> 00:04:32.380
humans to beat cybercrime alone.
How would you summarize how

86
00:04:32.380 --> 00:04:35.770
Rubrik is helping customers to
beat cybercrime?

87
00:04:36.110 --> 00:04:38.480
Bipul Sinha: Rubrik is helping
customers increase their

88
00:04:38.480 --> 00:04:42.020
cyber-resilience posture.
Because if you can restore your

89
00:04:42.020 --> 00:04:46.880
applications, restore your
business, you can assume risk,

90
00:04:46.970 --> 00:04:50.150
assume breaches, but still
continue to operate, because in

91
00:04:50.150 --> 00:04:54.020
this world, prevention is
impossible. The best option for

92
00:04:54.020 --> 00:04:58.310
customers is to build resilience in
their whole business operation

93
00:04:58.310 --> 00:04:59.750
and Rubrik is helping to do
that.

94
00:04:59.810 --> 00:05:01.130
Tom Field: I don't I think you
could say that better. That's a

95
00:05:01.130 --> 00:05:02.180
good message to leave with.

96
00:05:02.510 --> 00:05:04.040
Bipul Sinha: Thank you so much
for this opportunity.

97
00:05:04.000 --> 00:05:05.140
Tom Field: Thank you, Bipul,
it's been a pleasure.

98
00:05:05.170 --> 00:05:05.800
Bipul Sinha: Same here.

99
00:05:06.040 --> 00:05:08.170
Tom Field: We have been talking
with Bipul Sinha. He is the

100
00:05:08.170 --> 00:05:11.290
co-founder and CEO of Rubrik.
For Information Security Media

101
00:05:11.290 --> 00:05:14.290
Group, I'm Tom Field. Thank you
for giving us your time and your

102
00:05:14.290 --> 00:05:14.710
attention.