3 Observability and Cybersecurity Strategies for AI
AI emerges as a promising alternative to manage IT chaos as organizations embrace dispersed structures, deal with an growing threat landscape, and heavily rely on online systems.
We must find ways to create AI models that will deliver value on a large scale, but without apparent guardrails that tackle data privacy and security concerns. Navigating these unknown waters calls for a compass: a philosophy for properly and carefully building AI.
Discover the 3 methods that make up Splunk’s AI theory:
- Why is AI a non-negotiable factor in developing electronic endurance
- How AI may affect modern life in the short and long term, including surveillance and observability.
- Why can AI not absolutely replace human decision-making
- How we intend to apply AI in Splunk’s upcoming solution strategy and take our philosophy to life.
