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Collective Intelligence:

Crowdsourcing CTI Challenges and Opportunities
Rob Fry
February 22th 2020
BSides Bryan/College Station 2020
• CTI Ground Rules
• What is Crowdsourcing?
• CTI Background
• The “Waze” Analog
• Challenges to Make It Real
• Customer Interest Level
Agenda
2
! The facts expressed here belong to everybody, the
opinions to me. The distinction is yours to draw.
! Any similarity to actual companies or technology, living or dead,
is purely coincidental.
! Every statement in this presentation is probably true when stated, but
truth changes over time.
! Any disclaimer issued by me is subject to change without notice or 

reason or anything else.
! Disclaimer does not cover misuse, accident, lightning, flood, tornado, tsunami, volcanic eruption,
earthquake, hurricanes, or other acts of God, neglect, damage from improper use, incorrect line voltage,
unauthorized use, unauthorized repair, improper installation, typos, broken antenna or marred cabinet, missing or altered serial numbers,
electromagnetic radiation from nuclear blasts, sonic boom vibrations, customer adjustments that are not covered in this list, and incidents owing to an airplane
crash, ship sinking or taking on water, motor vehicle crashing, dropping the item, falling rocks, leaky roof, broken glass, disk failure, accidental file deletions, mud slides, forest fire, hitting of a deer, milk coming out of your nose due to laughing while drinking, or
projectiles, which can include, but are not limited to, arrows, bullet shots, BBs, shrapnel, lasers, napalm, torpedoes, emissions of X-rays, Alpha, Beta and Gamma rays, knives, stones, etc.
Disclaimer!
3
About Me
4
Vice President
Software Engineer
Co-Founder
Advisor
Mentor
Pain-in-the-Ass
Inventor
Internet Streaming
Architect
Docker Containers
Orchestration
Public Cloud
Board Member
CASB
Microservices
Venture
Cloud SIEM
Public Speaker
Open Source
CTO
RASP
SAAS
Momentum Cyber
Virtual Reality
About Me
5
Prelude
6
Visualize This
Prelude
7
The Year is:
2009
Prelude
8
Operation Aurora
https://www.cfr.org/interactive/cyber-operations/operation-aurora
Prelude
9
Evolution of Threat Intel
Prelude
10
Evolution of Threat Intel
It was probably here.
Prelude
11
Evolution of Threat Intel
Email IM Msg Boards
Prelude
12
Evolution of Threat Intel
Email IM Msg Boards
Sidenote:
For Many of Us, This is Still Standard Operating
13
CTI Ground Rules
14
CTI Ground Rules
What’s In Scope?
CTI Ground Rules
15
Artifacts of Love & Disdain
Hash
CTI Ground Rules
16
Attribution
Sidenote:
CTI Ground Rules
17
Not going to touch it.
Attribution
Sidenote:
Crowdsourcing?
18
What Is It?
Crowdsourcing?
19
Crowdsourcing?
20
The Crowd
Crowdsourcing?
21
Herd Methodology
Crowdsourcing?
22
With Without
In Theory, The Problem It Solves
Crowdsourcing?
23
• Consumption• Contribution
With Without
In Theory, The Problem It Solves
Crowdsourcing?
24
• Consumption
• Indicators
• Contribution
• Context
With Without
In Theory, The Problem It Solves
Crowdsourcing?
25
• Consumption
• Indicators
• Quantity
• Contribution
• Context
• Quality
With Without
In Theory, The Problem It Solves
Crowdsourcing?
26
• Consumption
• Indicators
• Quantity
• One to One
• Contribution
• Context
• Quality
• Many to Many
With Without
In Theory, The Problem It Solves
CTI Background
27
More Time travel
CTI Background
28
The Year is:
2012-ish
CTI Background
29
Evolution of Threat Intel
Anubis
CTI Background
30
Evolution of Threat Intel
CTI Background
31
Evolution of Threat Intel
Hash
Is Bad?
Yes
No
Binary Return
CTI Background
32
Mandatory Conference Meme
Sidenote:
CTI Background
33
Evolution of Threat Intel
Product Market
Cost
Product/Market Fit
CTI Background
34
Evolution of Threat Intel
Startups! Open Source
&
CTI Background
35
Evolution of Threat Intel
CTI Background
36
Evolution of Threat Intel
CTI Background
37
Sidenote:
CTI Background
38
I Hate Syslog
Sidenote:
CTI Background
39
Evolution of Threat Intel
DATA!
CTI Background
40
+ Many, Many More.
CTI Background
41
The Year is:
2013
You
CTI Background
42
Aggregated Data
One-way
Vendor or Community Aggregated
Good Start But “Context”
CTI Background
43
Aggregated Data
One-way
Context Engine
You
CTI Background
44
Aggregated Data
One-way
Upload
CTI Background
45
And Then….
CTI Background
46
CTI Background
47
Company “A”
CTI Background
48
Company “A”
CTI Background
49
Company “A”
Company “B”
CTI Background
50
Company “A”
Company “B”
CTI Background
51
Company “A”
Company “B”Exchange
Channel
Community
CTI Background
52
Mind Blown!
CTI Background
53
Hold That Thought
The Waze Analog
54Courtesy of Google
The Waze Analog
55Courtesy of Google
The Waze Analog
56Courtesy of Google
The Waze Analog
57
Crowdsourced Methodology
Yes
?
No
Courtesy of Google
The Waze Analog
58
Crowdsourced Methodology
Yes
?
No
Security Analyst
Indicator
“The Crowd”
Courtesy of Google
The Waze Analog
59
Crowdsourced With Curation Methodology
Anne Marie Steve Ronald
99% 85% 65%
Courtesy of Google
The Waze Analog
60
Crowdsourced With Curation Methodology
?
True Positive True Negative False Positive False Negative
Courtesy of Google
61
Individual
Company
Business Vertical
Community
• The Individual
• The Team
• The Company
• Business Vertical
• The Community
The Waze Analog
The Waze Analog
62
The Waze Analog
63
:
• Identify Subjective Data
• Isolate Subjective Data
• User Simple Measures
• Measure & Score Users
The Waze Analog
64
Crowdsourced With Curation Methodology
Courtesy of Google
Challenges/Opportunities to Make it Real
65
?What Would it Take?
The Challenges - Concept
66
Mind Blown!
The Challenges - Concept
67
Mind Blown!
Company “A”
Company “B”Exchange
Channel
Community
The Challenges - Concept
68
Wait a minute…
The Challenges - Concept
69
• How Much Data?
• How Many Customers?
• What Business Verticals?
The Challenges - Concept
70
• How Much Data?
• How Many Customers?
• What Business Verticals?
The Challenges - Concept
71
+ Volume
+ Velocity
+ Relevance
The Challenges - Concept
72
How Many Customers?
• 5% - 10% Contribute Back
• Ex: 1000 Customers = 50-100 Contributors
• What is Quality of Contributors?
The Challenges - Concept
73
How Much Data?
• 5% - 10% Contribute Back
• What Type of Data?
• How Much Data?
The Challenges - Concept
74
What Business Verticals?
• Channel Approach Shows Promise
• PCI, HIPAA, Web, Oil, Healthcare, Etc
75
The Challenges - Customer Side
?
76
What is Your Team’s Posture?
The Challenges - Customer Side
The Challenges - Customer Side
77
Efficacy
Measure
History
Curation
What’s Your Ability To:
The Challenges - Customer Side
78
Context
CTI Pipeline
The Challenges - Customer Side
79
You
Aggregated Data
Two-way
Open The Pipe
The Challenges - Product Side
80
History
The Challenges - Product Side
81
What Specific Customer Problem Are You Solving?
The Challenges - Product Side
82
What Specific Customer Problem Are You Solving?
People Data Expertise
The Challenges - Product Side
83
Curation
Update Look Back History Tombstone
The Challenges - Product Side
84
The “Presentation” Problem
The Challenges - Product Side
85
• Automatic Aggregate
• New Methodologies
• Easier Potential for Sharing
• Private Channels
• Ownership Dilemma
The “Cloud” Challenge
The Challenges - Product Side
86
The “Data” Challenge
• Data Protection
• Anonymization
• Secure Point-to-Point
• Business Risk
• Authorization/Legal (Opt-in or Opt-out?)
• T&Cs With Product Vendor
87
Feedback Loop
The Challenges - Product Side
• What Problems Does This Solve For Us?
• What Other Problems Would I Rather You Solve?
• Can We Share? Are We Capable of Sharing?
• Which Products Are Most Suited to Support?
• What Product(s) or Organizations Have Been Successful?
• What Have We Learned From Previous Shortcomings
Customer Interest Level
88
“Brass Tacks”
• Value… We Must Continue to Iterate
• Volume, Velocity, Relevance
• Contribution, Context, Quality, Many to Many
• Remove Subjectiveness
• Measure All The Things
• Security Team Maturity
• Feedback Loops
• Data, et al.
Wrap-up
89
Questions?
Thank You!
90
rfry@sumologic.com
@_robfry on Twitter

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Collective intelligence: Crowdsourcing Cyber Threat Intel Successes, Challenges and Opportunities