Top 10 Strategic Technology Trends for 2024

AI Trust, Risk and Security Management

The democratization of access to AI has made the need for AI Trust, Risk and Security Management (TRiSM) even more urgent and clear. Without guardrails, AI models can rapidly generate compounding negative effects that spin out of control, overshadowing any positive performance and societal gains that AI enables. AI TRiSM provides tooling for ModelOps, proactive data protection, AI-specific security, model monitoring (including monitoring for data drift, model drift, and/or unintended outcomes) and risk controls for inputs and outputs to third-party models and applications.

Gartner predicts that by 2026, enterprises that apply AI TRiSM controls will increase the accuracy of their decision-making by eliminating up to 80% of faulty and illegitimate information.

AI-Augmented Development

AI-augmented development is the use of AI technologies,…