How DDG Covers Deepfakes-3 Copy 2

Introduction

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Demonstrating Value Through Metrics

Metrics are one modality that a cybersecurity function can – and often does – use to measure effectiveness and efficiency. Yet, measuring the value cybersecurity provides for an organization is a daunting, challenging, and cumbersome task with unclear benefits to most managers assigned to create them. Perhaps this is because of lack of exposure, training, desire, aptitude, perceived value, or any number of other reasons. That is, besides the glaring elephant in the room: it is challenging to show the value of improved decision-making, cost savings from mitigated incidents, and agility in responding to a dynamic threat landscape, especially in a quantifiable way. To properly create metrics that showcase the value of CTI services, collaborative systems thinking is crucial. This approach should account for factors such as brand reputation, consumer trust, legal consequences, employee productivity, and morale, beyond the shortcomings associated with solely using the traditional cybersecurity triad of confidentiality, integrity, and availability.

Purposeful Metrics: Setting Goals and Outcomes

Metrics are one modality that a cybersecurity function can – and often does – use to measure effectiveness and efficiency. Yet, measuring the value cybersecurity provides for an organization is a daunting, challenging, and cumbersome task with unclear benefits to most managers assigned to create them. Perhaps this is because of lack of exposure, training, desire, aptitude, perceived value, or any number of other reasons.

• Administrative Metrics: Administrative metrics determine cost expenditures on staff, conference and training budget, software licensing, and data set procurement. Administrative metrics can assist in determining which data sets were used to support relevant intelligence requirements over a given time period or enable comparative analyses such as evaluating the impact of adding a headcount to the team
• Performative Metrics: Performative metrics gauge throughput and measure level of effort required to complete tasks, supporting capacity baselining. This is useful for resource planning, baselining expectations for job role and level, evaluating an aspect of performance, and establishing individual and program-wide goals. Number of tickets created, active intelligence requirements, RFIs supported by type, rate of proactive vs. reactive delivery on threat activity information, adherence to internally defined quality standards, etc., are also performative metrics. While these metrics can provide a high-level overview, they may offer limited insights for driving specific actions or improvements and have sometimes been referred to as vanity metrics often requiring further analysis in conjunction with other data to provide a complete understanding of workload or performance.

Getting Started with Metrics

Metrics are one modality that a cybersecurity function can – and often does – use to measure effectiveness and efficiency. Yet, measuring the value cybersecurity provides for an organization is a daunting, challenging, and cumbersome task with unclear benefits to most managers assigned to create them. Perhaps this is because of lack of exposure, training, desire, aptitude, perceived value, or any number of other reasons.

Example-01

• NPS is a simple average. See it like this: any score 0-6 counts as -100, and scores 9-10 counts as +100.
• NPS is a simple average. See it like this: any score 0-6 counts as -100, and scores 9-10 counts as +100.
• NPS is a simple average. See it like this: any score 0-6 counts as -100, and scores 9-10 counts as +100.

Example-02

• NPS is a simple average. See it like this: any score 0-6 counts as -100, and scores 9-10 counts as +100.
• NPS is a simple average. See it like this: any score 0-6 counts as -100, and scores 9-10 counts as +100.
• NPS is a simple average. See it like this: any score 0-6 counts as -100, and scores 9-10 counts as +100.