# cloud risk management

Published articles for cloud risk management.

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## Real risks live at runtime: Why CISOs must care about deep telemetry in 2026

DevFeed: [Real risks live at runtime: Why CISOs must care about deep telemetry in 2026](<https://devfeed.tech/articles/real-risks-live-at-runtime-why-cisos-must-care-about-deep-telemetry-in-2026-53254.md>)

Original publisher: [Read original article](<https://webflow.sysdig.com/blog/real-risks-live-at-runtime-why-cisos-must-care-about-deep-telemetry-in-2026>)

Author: Matt Stamper

Published: 2026-02-18T00:00:00Z

Content type: opinion

Language: en

Sources: [Sysdig Blog](<https://devfeed.tech/sources/sysdig-blog.md>)

Topics: [telemetry](<https://devfeed.tech/topics/telemetry.md>), [SIEM, Security, Observability](<https://devfeed.tech/topics/siem-security-observability.md>), [deploying agentic AI](<https://devfeed.tech/topics/deploying-agentic-ai.md>), [Security](<https://devfeed.tech/topics/security.md>), [Artificial Intelligence](<https://devfeed.tech/topics/ai.md>), [Cloud](<https://devfeed.tech/topics/cloud.md>), [observability ai agents](<https://devfeed.tech/topics/observability-ai-agents.md>)

Tags: [agentic-ai](<https://devfeed.tech/tags/agentic-ai.md>), [ai](<https://devfeed.tech/tags/ai.md>), [ai-security](<https://devfeed.tech/tags/ai-security.md>), [ai-stack-security](<https://devfeed.tech/tags/ai-stack-security.md>), [cdr](<https://devfeed.tech/tags/cdr.md>), [ciso-priorities](<https://devfeed.tech/tags/ciso-priorities.md>), [cloud](<https://devfeed.tech/tags/cloud.md>), [cloud-detection-and-response](<https://devfeed.tech/tags/cloud-detection-and-response.md>), [cloud-native-security](<https://devfeed.tech/tags/cloud-native-security.md>), [cloud-risk-management](<https://devfeed.tech/tags/cloud-risk-management.md>), [cloud-runtime-visibility](<https://devfeed.tech/tags/cloud-runtime-visibility.md>), [cloud-security](<https://devfeed.tech/tags/cloud-security.md>), [cnapp](<https://devfeed.tech/tags/cnapp.md>), [deep-telemetry](<https://devfeed.tech/tags/deep-telemetry.md>), [llm-security](<https://devfeed.tech/tags/llm-security.md>), [modern-security-architecture](<https://devfeed.tech/tags/modern-security-architecture.md>), [real-time-threat-detection](<https://devfeed.tech/tags/real-time-threat-detection.md>), [risk](<https://devfeed.tech/tags/risk.md>), [runtime-observability](<https://devfeed.tech/tags/runtime-observability.md>), [runtime-security](<https://devfeed.tech/tags/runtime-security.md>), [runtime-telemetry](<https://devfeed.tech/tags/runtime-telemetry.md>), [security-noise-reduction](<https://devfeed.tech/tags/security-noise-reduction.md>), [telemetry](<https://devfeed.tech/tags/telemetry.md>), [visibility](<https://devfeed.tech/tags/visibility.md>)

### AI overview

The article argues that security leaders need deep runtime telemetry to identify meaningful risks in cloud and AI environments. It highlights increased telemetry noise from large language models and agentic AI, and argues that runtime-first visibility and faster detection and response are necessary for modern security programs.

### Source excerpt

At the heart of runtime is visibility on what matters: what's being executed and what's running in production. Runtime is where enterprises generate value. Runtime telemetry can help shed light on the risk factors noted above, be they directly related to AI tools and services or the cloud and microservices that power them.