Balance cyber risk and opportunity with AI
Whether or not your organization has a firm grasp on the secure and responsible use of generative AI, employees are most likely already using these tools in their day-to-day work. Today's challenge is integrating AI projects into existing processes and systems and then securing them. Organizations must leverage the power of AI and take advantage of the opportunities it presents while also balancing the new risks these tools introduce.
In striking the proper balance of risk and opportunity in AI, your organization is enabled to:
Increase speed and efficiency in operations
Augment staff and resources to offset talent shortage
Ensure business continuity if an AI tool is breached.
Comply with data privacy regulations
Maintain reputation and customer trust
Avoid costly remediation and recovery
Securing AI throughout the enterprise
As AI use cases grow in scope and number worldwide, unique attack surfaces and threats are also on the rise. Organizations need to implement security measures to manage and secure the use of AI across the enterprise. These should include strong user authentication, a centralized AI governance framework, regular audits to identify unauthorized AI deployments, and more.
To secure the use of AI, organizations must:
- Evaluate overall use of AI broadly, including AI systems used internally or via SaaS. This includes specific AI models, data science tools, shared MLOps and data analysis platforms.
- Evaluate the approach to assessing the potential vulnerabilities in AI models and related systems.
- Assess current AI security capabilities, such as data governance, model management, vulnerability management, and red and blue team exercises.
- Identify defenses against AI attacks, such as prompt injection, data poisoning, model theft, adversarial examples, etc.
- Review existing plans for AI and AI security.
Using AI to improve enterprise cybersecurity
The sheer amount and complexity of data and threats, in the midst of an ongoing talent shortage, have become impossible for cybersecurity teams to manage. GenAI offers new ways to manage threats, evaluate IT ecosystems and operations, increase speed and efficiency, augment staff and resources, and boost productivity.
To take advantage of AI in cybersecurity, organizations must:
- Assess the current use of AI for cybersecurity defenses.
- Review plans and use cases for AI in security.
- Evaluate and prioritize recommendations based on value, complexity and feasibility.
- Build a roadmap for AI security improvement based on best practices and frameworks.