Clear. Confident. Action April 2017 Company Confidential This - - PowerPoint PPT Presentation

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www.thetaray.com

Company Confidential

This presentation and the information herein, are the exclusive properties of Thetaray Ltd., and shall not be disclosed, in whole or in part, to any third party or utilized for any purpose other than the express purpose for which it has been

• provided. Viewers of this presentation are not permitted to copy, distribute, retransmit or modify any of the

information in this presentation, whether in electronic or hard copy form, without the express prior written permission

• f Thetaray Ltd. Ltd may update, amend, supplement or otherwise alter the information without prior notice

UNCOVER THE UNKNOWN

• Clear. Confident. Action

April 2017

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The Threat Environment

Different Motivations, Billions Of Devices, Multiple Risks, The Threats Are Everywhere, Infinite Data Sources

Unexpected Failures Unauthorized Access

Perimeter and Rule-based Security Has Failed!

Cyber Criminals

Social Engineering Cloud & Virtual Networks

Fraud

Web & Mobile Access Computer Networks 6

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$630M money laundering

fine imposed by The New York State financial regulator & UK’s Financial conduct authority on Deutsche Bank

Financial Threat Landscape

4

Every

15

Sec. More than

1,000,000

incidents of financial fraud

• ccurred in the first six

months of 2016 ATM attackers in NY steal $45M Hackers Hit Bangladesh central bank using SWIFT network stealing

$81M

Commerzbank fined $1.45B for

failure to detect and report suspicious transactions

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2 4 6 8 10 12 14 16 18 20

Industry Trends

5

DATA CREATION HAS EXPLODED - 90% of data in the world has been created in the past 2 year

UTILITIES GENERATE MORE DATA THAN EVER BEFORE CHEVRON’S DATA OCEAN IS GROWING:

½ Terabytes > 100,000 Machines

2 TB/Day

1997 there were 5 TB in the entire company

Generated Per Day Emitting data

NY Stock Exchange Per Day Boeing 787 Per 30 min flight

1 5 20

Largest Bank India Data Per Day

The US Library of congress = 160 TB of Web Data

= 2 = 6 = 393

1 Year

= Filled Library of congress

TERABYTES OF DATA COLLECTED BY ORGANIZATIONS

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RULE LE BASED DE DETECT CTION

• Require predefined parameters/patterns
• Based on prior knowledge of risk/threat

Traditional Methods Are Limited

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Conventional rule-based solutions cannot detect unknown risks

FUNCT CTIONAL LIM LIMITATIONS

• High rate of false positives
• Limited set of parameters
• Provides a partial perspective

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ThetaRay Advanced Analytics Platform

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Hyper-Dimensional, Multi-Domain, Big Data Analytics™

Multi-Domain Data Anomaly Detection Engine Event Monitoring

Financial Data Network Traffic & Logs Business Transactions Machine Data

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KEY FIN INDINGS

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Consumer Lending (Mortgages)

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12 12 Hig igh - Risk Risk App pplic icatio ion

• Total loan value > 9M Euro
• Suspected internal fraud
• "Borderline” approvals

Non

• n-Risk Even

ents

• Abnormal business processes
• Operational compliance
• Data Integrity

Spee peed to

• Valu

alue

• 1 week prep
• 2 weeks on-site

Reso esources

• Data expert
• Fraud analyst
• IT support

CU CUSTOMER

• Large European Bank
• Mortgage department Risk Management

& Operations

CH CHALLENGE

• Detect unknown valuable events
• Higher level of assurance compared to the

existing control framework

• Fast time to value
• Increase efficiency & reduce cost of credit

risk processes

RESULTS

• 30,000 approved mortgage applications
• Customer, demographic, income etc.
• Property information
• Product

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KEY FIN INDINGS

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CU CUSTOMER

• On boarding Duration: 9 days
• 12 unknown events including suspected fraud,

abnormal activity and operational deficiencies

• Transforming weeks of investigation to hours

with pin-point forensic information

• Global Top10 US Bank,

Information Security department

“High-Impact” Secu ecurity Even ent

• Including 71 similar anomalies

(internal transfers, bunch deposits)

• Anomaly transaction amount -

from $1M to $4.3M (total > $100M)

Sus uspected Fraud /Abn bnormal Cus ustomer Activ ctivit ity

• Multiple fixed-Interval

Withdrawals – 63 withdrawals of 50$ in 45 min session

• Multi-card session – multiple cards

(chip, magnetic) used in same session

• Rules creation/enhancement

based on the detected patterns

• 2,520 ATM machines (North America)
• ATM transactions and logs
• Beneficiaries and Accounts tables

DATA RESULTS

ATM Security

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ThetaRay Core Infrastructure

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COLLECTION

• Data handling
• Storage

ANALYSIS APPLICATIONS

• Forensic investigation
• UI, reporting, management
• Math/analytics core
• Detection Algorithms

Analytics Platform

VERTICALS

Industrial Internet of Things Financial Institutions

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Intuitive & Innovative User Interface

• Results Dashboard for accumulated

results

• Configuration center for quick setup
• Forensics and extensive drill down

capabilities

• Dynamic ,flexible workflow
• Graphic, Innovative & rich display

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Unique Differentiators

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Unmatched detection rates Industry-low false positive rates Rule-free, unsupervised, non-heuristic 101101 010100 110110 Math based big-data analytics Automatic, real-time detection Fast time to value days vs. months

ThetaRay helps financial organizations to boost operational risk detection and visibility across multiple departments and use cases

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We Realize Everything Has Changed

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Infinite Threats, Infinite Opportunities

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Summary

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INNOVATIVE TECHNOLOGY

• Automatic, rule-free detection
• High detection rates, low false alarms
• Detect “Unknown-Unknowns”

EXPERIENCED TEAM GREAT PARTNERSHIPS A REAL NEED

• Minimize exposure and impact
• Rule-based systems are not enough
• Almost unlimited target market

TIER 1 FINANCIAL INSTITUTIONS

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This presentation brought to you by ThetaRay Ltd

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Contact Information

www.thetaray.com

Chief Executive Officer

+972547777577 +1(202)5690729

mark.gazit@thetaray.com

Mar ark Gaz azit it