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How do you explain AI-based security tool results?

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AI-based security tools can help you detect and prevent cyberattacks, but how do you explain their results to your stakeholders, clients, or regulators? In this article, you will learn some tips and best practices for communicating the value and limitations of AI in cybersecurity, as well as some common challenges and pitfalls to avoid.

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1 Know your audience

The first step to explain AI-based security tool results is to know your audience and their level of familiarity and interest in AI. Depending on who you are talking to, you may need to adjust your language, tone, and level of detail. For example, if you are presenting to a technical team, you may want to use more technical terms and provide more details about the algorithms, data sources, and performance metrics of your AI tool. If you are presenting to a non-technical audience, such as a business executive, a client, or a regulator, you may want to use more simple and clear language, focus on the benefits and outcomes of your AI tool, and address any ethical, legal, or social implications.

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Manju Devadas

Founder & CEO @ Pluto7 | Gen AI Platforms. Applied AI
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As a Pluto7 architect, I often explain AI-based security tool results to clients. Here are some of the key points I make: AI-based security tools use machine learning to analyze large amounts of data and identify potential threats. This can be much more effective than traditional signature-based detection, which can only identify known threats. AI-based security tools can detect threats that are still in development, or that have been modified to evade traditional detection methods. AI-based security tools can provide insights into the threat landscape, such as the most common attack vectors and the most active threat actors. This information can be used to prioritize security efforts and improve overall security posture

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2 Explain the problem and the solution

The next step to explain AI-based security tool results is to explain the problem that your AI tool is trying to solve and how it solves it. You should provide some context and background information about the cybersecurity challenge that your AI tool addresses, such as the type, frequency, and impact of cyberattacks, the current state of the art, and the existing gaps or limitations. Then, you should explain how your AI tool works, what kind of data it uses, what kind of methods it applies, and what kind of results it produces. You should also highlight the advantages and disadvantages of your AI tool compared to other alternatives, such as human experts, traditional software, or other AI tools.

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Shubham Saboo

Building a community of 1M+ AI Developers | I share daily tips and tutorials on LLM, RAG and AI Agents
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In simpler terms, think of your AI security tool as a new superhero in town. First, tell everyone about the big bad villain (the cybersecurity issue) causing chaos, like how often it strikes and what damage it does. Then, introduce your superhero (your AI tool) - what's its superpower (method), what gadgets (data) does it use, and how it saves the day (results). Don't forget to mention if there are situations where the old-school heroes (human experts, traditional software) might still be useful or if there are newer heroes (other AI tools) with different strengths and weaknesses.

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3 Show the evidence and the impact

The third step to explain AI-based security tool results is to show the evidence and the impact of your AI tool. You should provide some concrete examples and case studies of how your AI tool has detected, prevented, or mitigated cyberattacks, and how it has improved the security posture, performance, or efficiency of your organization or client. You should also provide some quantitative and qualitative measures of the effectiveness, accuracy, reliability, and scalability of your AI tool, such as detection rates, false positives, false negatives, response times, cost savings, or customer satisfaction. You should also acknowledge any limitations, uncertainties, or risks of your AI tool, such as data quality, bias, privacy, or adversarial attacks.

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Dr Djamila Amimer

Helping Businesses Unlock AI Potential | CEO & Founder | Top 10 Global Thought Leaders on AI, Predictive Analysis and Emerging Tech. | AI Speaker | AI Author| LinkedIn Top AI Voice
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Illustrating AI use cases is critical. When presenting case studies to stakeholders consider the following: - Benefits such as: performance compared to traditional methods, number of attacks reduced and avoided costs - Limitations such as: error rates and risks - Resources such as fte needed for the project and time needed for implementation - Integration such as: how the solution is going to be integrated with current systems and procedures

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4 Use visual aids and stories

The fourth step to explain AI-based security tool results is to use visual aids and stories to make your explanation more engaging, understandable, and memorable. You should use graphs, charts, diagrams, or images to illustrate your AI tool's data, methods, results, or impact. You should also use stories, anecdotes, or scenarios to demonstrate your AI tool's value proposition, use cases, or success stories. You should avoid using too much jargon, acronyms, or technical details that may confuse or bore your audience. You should also use metaphors, analogies, or comparisons to relate your AI tool to something familiar or relevant to your audience.

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Shubham Saboo

Building a community of 1M+ AI Developers | I share daily tips and tutorials on LLM, RAG and AI Agents
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Imagine trying to assemble a jigsaw puzzle without the picture on the box; that's how some feel about AI. Just as that picture guides puzzle-solving, visual aids like charts or diagrams can help clarify complex AI security results. Think of it as giving your audience the "picture on the box." Sharing real-life stories or anecdotes acts like a relatable movie scene, giving context to the raw data. Just like you'd explain a movie plot to a friend, skip the techy-talk and make it simple and engaging!

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Shivam Singh [Shiv シヴ]

Ex @Rakuten, @Microsoft, DEI Venture Capitalist, Hedge Fund Quant @D.E. Shaw | Bestselling Author | MBA @Michigan Ross, London School of Economics | Yaffe Innovation Scholar, CKP Fellow, +Tech Scholar
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Use simple analogies to explain complex concepts. For example, compare the AI-based security tool to a security guard who never sleeps, continuously learning from the environment to recognize potential threats. Share stories about how your AI tool has successfully neutralized threats. This can make the technology's effectiveness more tangible. Describe scenarios that could occur without the AI-based security tool. Highlight how the AI tool can prevent these scenarios, creating a compelling narrative about its importance.

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5 Invite feedback and questions

The fifth step to explain AI-based security tool results is to invite feedback and questions from your audience. You should encourage your audience to share their opinions, concerns, or suggestions about your AI tool, and to ask any questions that they may have. You should listen carefully and respectfully to their feedback and questions, and try to answer them honestly and clearly. You should also be prepared to handle any objections, criticisms, or challenges that your audience may raise, and to provide evidence, examples, or references to support your claims. You should also be open to learning from your audience, and to improving your AI tool or your explanation based on their feedback and questions.

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Shubham Saboo

Building a community of 1M+ AI Developers | I share daily tips and tutorials on LLM, RAG and AI Agents
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Adding feedback loops, much like in machine learning models themselves, can enhance understanding. Think of it like a classroom setting: when a teacher encourages questions, it often benefits not just the inquisitive student, but the entire class. Simple clarifications can lead to 'aha!' moments, bridging the gap between the unfamiliar and the understood. So, always leave the door open for dialogue; sometimes the best insights come from the curious and the skeptical.

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6 Follow up and follow through

The sixth and final step to explain AI-based security tool results is to follow up and follow through with your audience. You should thank your audience for their attention, interest, and participation, and provide them with any additional information or resources that they may need or request. You should also follow up with them after your presentation, and provide them with any updates, reports, or results that may be relevant or useful to them. You should also follow through with any actions, commitments, or promises that you made during your presentation, and ensure that your AI tool delivers the expected value and impact to your audience.

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7 Here’s what else to consider

This is a space to share examples, stories, or insights that don’t fit into any of the previous sections. What else would you like to add?

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How do you explain AI-based security tool results?

1

2

3

4

5

6

7

1 Know your audience

2 Explain the problem and the solution

3 Show the evidence and the impact

4 Use visual aids and stories

5 Invite feedback and questions

6 Follow up and follow through

7 Here’s what else to consider

Artificial Intelligence

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How do you explain AI-based security tool results?

1

2

3

4

5

6

7

1 Know your audience

2 Explain the problem and the solution

3 Show the evidence and the impact

4 Use visual aids and stories

5 Invite feedback and questions

6 Follow up and follow through

7 Here’s what else to consider

Artificial Intelligence

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