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Enterprise observability is entering a new phase as artificial intelligence changes both the applications companies need to monitor and the way operations teams respond when something goes wrong.
Summary
Traditional observability platforms were built around deterministic software and telemetry, such as logs, metrics and traces.
This summary is a partial excerpt, the source's own feed cuts off here. Read the full story at Siliconangle for the rest.
KazaSec's take
AI-related security incidents are a genuinely new category, prompt injection, model manipulation, and data leakage through an LLM integration don't map cleanly onto traditional application security testing, and are worth assessing deliberately rather than assuming existing controls already cover them.
Coverage details
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