Cybersecurity Field Guide #14

Enable Innovation with Secure AI

Artificial intelligence (AI) is reshaping the way we live and work, but it also brings new cybersecurity challenges. Leverage this field guide for Optiv’s expert guidance on harnessing AI innovation securely. Inside, you will find key strategies for safely using and building AI models throughout their product lifecycles.

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The Topics and Summaries

AI Threat and Risk Landscape

As AI technologies advance, the AI threat and risk landscape also evolves. Organizational stakeholders must grapple with growing threats such as shadow AI, training, data poisoning and regulatory challenges. This guide defines the core concepts of AI security that enables your AI journey without overly restricting innovation.

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Enterprise capabilities for artificial intelligence (AI) and generative artificial intelligence (GenAI)
Common factors in AI regulations
Strategies for implementing governance and compliance for AI systems

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AI Challenges for Enterprises

Companies are under pressure to adopt AI quickly to maintain a competitive advantage. The rapid adoption rate intensifies challenges for business stakeholders seeking to differentiate hype from reality. Our guide explains how to secure AI by following the path of most business transformations, which involve the interdependent synergy of technologies, people and processes.

To develop a strong AI security strategy, your organization may consider:

Upgrading traditional security scanning tools and monitoring AI-enabled technologies
Training employees to address gaps in AI literacy and awareness
Developing AI security processes and policies to reduce AI-related risks that could jeopardize business operations and customer experiences

Secure AI Principles for Your Business

A disciplined approach to end-to-end AI security empowers you to proactively keep up with dynamic AI technology solutions. Leverage these foundational security concepts to secure your AI activities and solutions:

Security-by-design approaches for AI application development, security control implementation, routine scanning and data quality reviews
Governance frameworks to guide responsible development and use of AI
Threat modeling to identify potential AI threats and security vulnerabilities

Outcomes and Value

When you understand how to identify and manage AI cyber risks, you gain confidence in your ability to securely achieve the full potential of AI innovation. Optiv provides these key resources to help you attain business outcomes via strategic AI security improvements:

Action items for developing AI use cases for your business
Key questions to ask when choosing a partner to secure your AI solutions
Checklist of AI security implementation essentials

October 18, 2024

Take a Look Inside

A solid AI security strategy must balance technology, people and processes to secure business value. This field guide provides actionable steps for setting realistic goals to safely leverage and build AI for your unique use cases — without sacrificing the speed required to innovate rapidly.

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Optiv Field Guide Library

Designed with you in mind – with easily searchable content – these field guides are a “go-to” reference for all your cybersecurity strategies and tactics. Each one is topic-specific and based on years of “been-there-done-that” research. Like what? From change management to getting ahead of ransomware to surviving an attack, implementing SASE or Zero Trust, it’s all here – with more to come.