Best Practices Award Template - Frost & Sullivan

2017 Global Endpoint and Mobile Security for Critical National Infrastructure Technology Innovation Award

BEST PRACTICES RESEARCH

Contents Background and Company Performance ........................................................................ 3 Industry Challenges .............................................................................................. 3 Technology Attributes and Future Business Value ..................................................... 3 Conclusion........................................................................................................... 5 Significance of Technology Innovation .......................................................................... 6 Understanding Technology Innovation .......................................................................... 6 Key Benchmarking Criteria .................................................................................... 7 Best Practice Award Analysis ....................................................................................... 7 Decision Support Scorecard ................................................................................... 7 Technology Attributes ........................................................................................... 8 Future Business Value ........................................................................................... 8 Decision Support Matrix ........................................................................................ 9 Best Practices Recognition: 10 Steps to Researching, Identifying, and Recognizing Best Practices ................................................................................................................. 10 The Intersection between 360-Degree Research and Best Practices Awards ..................... 11 Research Methodology ........................................................................................ 11 About Frost & Sullivan .............................................................................................. 11

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“We Accelerate Growth”


Background and Company Performance Industry Challenges Cyber security is one of the fastest-growing segments of the security industry. A main reason is the demand for reliable, cutting-edge solutions that can counter increasingly complex and evolving cyber threats. A cyber-attack on critical national infrastructure (CNI)—from financial services to healthcare or transportation—can be catastrophic; as such, specialized solutions for each vertical are vital. Frost & Sullivan points out that endpoint protection is one of the most sought-after solutions for CNIs due to the adoption of endpoint devices by a large number of verticals that include financial services, healthcare and governments. Frost & Sullivan also recognizes how Deep Instinct brings an entirely novel approach to endpoint cyber-security by providing zero-day attack protection for endpoints and mobile devices based on deep learning.

Technology Attributes and Future Business Value Industry Impact Frost & Sullivan applauds the fact that Deep Instinct’s zero-day attack protection solution is based on a deep learning mechanism that demonstrated improved accuracy of 20 to 30% over other competing solutions that are based on machine learning. The solution has demonstrated an extremely low false positive rate in comparison to its competitors, which is crucial with more than 1 million known malware and unknown malwares developing at a rapid rate. Deep Instinct’s solution has been proven to generate a less than 0.1% false positive rate for unknown malware. By providing such steadfast, innovative solutions, Deep Instinct has ensured it has carved an impressive niche for itself in the highly competitive cyber security industry. Technology Impact Deep Instinct is the first company to apply deep learning to cybersecurity. Deep learning is inspired by the brain’s ability to learn. Once a brain learns to identify an object, its identification becomes second nature. Similarly, as Deep Instinct artificial brain learns to detect any type of cyber threat, its prediction capabilities become instinctive. As a result, zero-day and APT attacks are detected and prevented in real-time with unmatched accuracy. Deep Instinct’s solution consists of three elements: D-Brain, the fundamental component, lightweight prediction model that autonomously detects cyber threats on the devices, enabling on-device zero-day and APT protection; D-Appliance, which leverages threat © Frost & Sullivan 2017

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information from the D-Brain, acts as a visualization and management tool to configure a company’s security policy and facilitate comprehensive threat monitoring, and handles endpoint devices, security events, and security policies at the same location; and D-Client, lightweight client software installed on the device which provides real-time cyber-threat protection by static and pre-execution on-device analysis for threats based on the defined policy and actively protects a device from threats - even if it is not connected to a network. Frost & Sullivan independent analysis confirms that this range of intelligent capabilities delivers a resilient and reliable cyber security solution that truly caters to the user’s needs - which none of its other competitors provide in the industry. Visionary Innovation A customer’s most important consideration is the company’s ability to continually incorporate innovative features in its suite of cyber security solutions.

Deep Instinct is

planning on introducing a network traffic anomaly detection solution in the future. An anomaly, which is essentially an abnormality in the behavior of network traffic, is not necessarily a threat. It is therefore absolutely vital to distinguish the anomalies that pose a threat to the network from the harmless ones.

Deep Instinct will be embedding the

deep learning mechanism to the anomaly behavior detection solution to ensure that threats originating across networks are addressed both instantly and efficiently. Customer Acquisition A large number of verticals consist of endpoints and mobile devices as part of their organization. Frost & Sullivan points out that Deep Instinct has been able to properly penetrate these markets. The largest customer bases of Deep Instinct today include financial services, healthcare and education. This is attributed to these verticals predominantly deploying a large number of endpoint and mobile devices, coupled with these industries having suffered from the most number of cyber-attacks over the past year. One of the standout capabilities of Deep Instinct’s solution is the ability to distinctly identify and mitigate banking Trojans; this has been a key factor in attracting a wide range of customers from the financial services segment. Deep Instinct is also looking to enter the government vertical. Customer Purchase Experience The growing pace at which unknown threats are emerging calls for a dynamic customersupplier relationship to ensure that threats are addressed immediately and to prevent a major impact on an organization. Not only does Deep Instinct proactively monitor and mitigate unknown threats, the company performs continuous training, which takes place at Deep Instinct Research Lab and relies on deep learning-based proprietary infrastructure © Frost & Sullivan 2017

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and algorithms. The training is applied on hundreds of millions of files both malicious and benign. It processes all the files numerous times to iteratively tune the synapses of the neural network to enhance classification accuracy.

Updates take place only once every

few months, when Deep Instinct has a new deep learning prediction model. By doing so, customers are given complete visibility of the quality of the solution provided by Deep Instinct.

Frost & Sullivan appreciates how Deep Instinct’s transparency and customer-

centric approach ensures the highest levels of client satisfaction. Customer Service Experience Deep Instinct offers a variety of customer support services. These include dedicated teams (both global and region-specific) that are available for customer interaction around the clock via both phone and email.

The company also engages customers in regular

discussions to understand their specific requirements and incorporates suggestions into newer technologies.

Frost & Sullivan feels that these heightened standards of customer

satisfaction have clearly nurtured the brand loyalty of the company in the global market.

Conclusion The rapid increase in unknown malware has generated demand for groundbreaking cyber security solutions that can effectively handle threats with no consequences to CNI. Deep Instinct’s unique, deep learning-based endpoint protection solution delivers a level of cyber security that no other competitor can match, which has helped the company to acquire a wide range of customers across financial services, healthcare, and education. The company’s flexible customer-supplier relationship ensures that customers are truly aware of the improvement Deep Instinct’s technology will offer in comparison to its competitors. With its strong overall performance, Deep Instinct has earned the 2017 Frost & Sullivan Technology Innovation Award.


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Significance of Technology Innovation Ultimately, growth in any organization depends upon finding new ways to excite the market and upon maintaining a long-term commitment to innovation. At its core, technology innovation, or any other type of innovation, can only be sustained with leadership in three key areas: understanding demand, nurturing the brand, and differentiating from the competition.

Understanding Technology Innovation Technology innovation begins with a spark of creativity that is systematically pursued, developed, and commercialized. This spark can result from a successful partnership, a productive in-house innovation group, or a bright-minded individual. Regardless of the source, the success of any new technology is ultimately determined by its innovativeness and its impact on the business as a whole.


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Key Benchmarking Criteria For the Global Technology Innovation Award, Frost & Sullivan analysts independently evaluated two key factors—Technology Attributes and Future Business Value—according to the criteria identified below. Technology Attributes Criterion 1: Industry Impact Criterion 2: Technology Impact Criterion 3: Scalability Criterion 4: Visionary Innovation Criterion 5: Application Diversity Future Business Value Criterion 1: Financial Performance Criterion 2: Customer Acquisition Criterion 3: Customer Purchase Experience Criterion 4: Customer Service Experience Criterion 5: Human Capital

Best Practices Award Analysis for Deep Instinct Decision Support Scorecard To support its evaluation of best practices across multiple business performance categories, Frost & Sullivan employs a customized Decision Support Scorecard. This tool allows our research and consulting teams to objectively analyze performance, according to the key benchmarking criteria listed in the previous section, and to assign ratings on that basis. The tool follows a 10-point scale that allows for nuances in performance evaluation. Ratings guidelines are illustrated below. RATINGS GUIDELINES

The Decision Support Scorecard is organized by Technology Attributes and Future Business Value (i.e., These are the overarching categories for all 10 benchmarking criteria; the definitions for each criterion are provided beneath the scorecard.). The research team confirms the veracity of this weighted scorecard through sensitivity analysis, which confirms that small changes to the ratings for a specific criterion do not lead to a significant change in the overall relative rankings of the companies.


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The results of this analysis are shown below. To remain unbiased and to protect the interests of all organizations reviewed, we have chosen to refer to the other key participants as Competitor 2 and Competitor 3. Measurement of 1–10 (1 = poor; 10 = excellent)

Technology Innovation

Technology Attributes

Future Business Value

Average Rating

Deep Instinct

9.0

9.2

9.1

Competitor 2

8.4

8.2

8.3

Competitor 3

8.1

7.9

8.0

Technology Attributes Criterion 1: Industry Impact Requirement: Technology enables the pursuit of groundbreaking ideas, contributing to the betterment of the entire industry. Criterion 2: Technology Impact Requirement: Specific technology helps enhance features and functionalities of the entire product line for the company. Criterion 3: Scalability Requirement: Technology is scalable, enabling new generations of products over time, with increasing levels of quality and functionality. Criterion 4: Visionary Innovation Requirement: Specific new technology represents true innovation based on a deep understanding of future needs and applications. Criterion 5: Application Diversity Requirement: New technology serves multiple products, multiple applications, and multiple user environments.

Future Business Value Criterion 1: Financial Performance Requirement: Potential is high for strong financial performance in terms of revenues, operating margins, and other relevant financial metrics. Criterion 2: Customer Acquisition Requirement: Specific technology enables acquisition of new customers, even as it enhances value to current customers. Criterion 3: Customer Purchase Experience Requirement: Customers feel like they are buying the most optimal solution that addresses both their unique needs and their unique constraints


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Criterion 4: Customer Service Experience Requirement: Customer service is accessible, fast, stress-free, and of high quality Criterion 5: Human Capital Requirement: Customer impact is enhanced through the leverage of specific technology, translating into positive impact on employee morale and retention.

Decision Support Matrix Once all companies have been evaluated according to the Decision Support Scorec ard, analysts then position the candidates on the matrix shown below, enabling them to visualize which companies are truly breakthrough and which ones are not yet operating at best-in-class levels. High Deep Instinct Competitor 2

Future Business Value

Competitor 3

Low Low


Technology Attributes

9

High



Best Practices Recognition: 10 Steps to Researching, Identifying, and Recognizing Best Practices Frost & Sullivan analyst follow a 10-step process to evaluate Award candidates and assess their fit with select best practice criteria. The reputation and integrity of the Awards are based on close adherence to this process. STEP Monitor,

1 target, and screen

OBJECTIVE

KEY ACTIVITIES

OUTPUT

Identify Award recipient candidates from around the globe

 Conduct in-depth industry research  Identify emerging sectors  Scan multiple geographies

Pipeline of candidates who potentially meet all bestpractice criteria

Perform comprehensive, 360-degree research on all candidates in the pipeline

 Interview thought leaders and industry practitioners  Assess candidates’ fit with best-practice criteria  Rank all candidates

Matrix positioning of all candidates’ performance relative to one another

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Perform 360-degree research

3

Invite thought leadership in best practices

Perform in-depth examination of all candidates

 Confirm best-practice criteria  Examine eligibility of all candidates  Identify any information gaps

Detailed profiles of all ranked candidates

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Initiate research director review

Conduct an unbiased evaluation of all candidate profiles

 Brainstorm ranking options  Invite multiple perspectives on candidates’ performance  Update candidate profiles

Final prioritization of all eligible candidates and companion best-practice positioning paper

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Assemble panel of industry experts

Present findings to an expert panel of industry thought leaders

 Share findings  Strengthen cases for candidate eligibility  Prioritize candidates

Refined list of prioritized Award candidates

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Conduct global industry review

Build consensus on Award candidates’ eligibility

 Hold global team meeting to review all candidates  Pressure-test fit with criteria  Confirm inclusion of all eligible candidates

Final list of eligible Award candidates, representing success stories worldwide

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Perform quality check

Develop official Award consideration materials

 Perform final performance benchmarking activities  Write nominations  Perform quality review

High-quality, accurate, and creative presentation of nominees’ successes

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Reconnect with panel of industry experts

Finalize the selection of the best-practice Award recipient

 Review analysis with panel  Build consensus  Select recipient

Decision on which company performs best against all best-practice criteria

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Communicate recognition

Inform Award recipient of Award recognition

 Present Award to the CEO  Inspire the organization for continued success  Celebrate the recipient’s performance

Announcement of Award and plan for how recipient can use the Award to enhance the brand

Upon licensing, company is able to share Award news with stakeholders and customers

 Coordinate media outreach  Design a marketing plan  Assess Award’s role in future strategic planning

Widespread awareness of recipient’s Award status among investors, media personnel, and employees

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Take strategic action


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The Intersection between 360-Degree Research and Best Practices Awards Research Methodology Frost & Sullivan’s 360-degree research methodology

represents

the

analytical

360-DEGREE RESEARCH: SEEING ORDER IN THE CHAOS

rigor of our research process. It offers a 360-degree-view of industry challenges, trends, and issues by integrating all 7 of Frost & Sullivan's research methodologies. Too

often

growth

companies

decisions

understanding

of

make

based

on

their

important a

narrow

environment,

leading to errors of both omission and commission. Successful growth strategies are founded on a thorough understanding of market, technical, economic, financial, customer, best practices, and demographic analyses. The integration of these research disciplines into the 360-degree research methodology platform

provides

for

an

evaluation

benchmarking

industry

participants and for identifying those performing at best-in-class levels.

About Frost & Sullivan Frost & Sullivan, the Growth Partnership Company, enables clients to accelerate growth and achieve best-in-class positions in growth, innovation and leadership. The company's Growth Partnership Service provides the CEO and the CEO's Growth Team with disciplined research and best practice models to drive the generation, evaluation and implementation of powerful growth strategies. Frost & Sullivan leverages more than 50 years of experience in partnering with Global 1000 companies, emerging businesses, and the investment community from 45 offices on six continents. To join our Growth Partnership, please visit http://www.frost.com.


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