Industry executives and experts share their predictions for 2026. Read them in this 18th annual VMblog.com series exclusive.
By Harlin Lipman, Senior Information Security Manager, Chronosphere
For years, observability and security have evolved along parallel tracks in modern cloud-native organizations. One focused on uptime, performance, and reliability. The other focused on detecting and preventing threats, vulnerabilities, and ensuring compliance. In 2026, that separation will no longer hold. The most important – and least discussed – shift underway in cloud infrastructure is the convergence of observability and security into a shared operational function.
This change is not driven by tooling trends or budget pressure alone. It’s a response to how modern systems actually behave. Distributed, software-defined environments generate massive volumes of telemetry in the form of traces, metrics, and logs. Historically, that data has fallen under the purview of site reliability engineers (SREs) and platform teams. But increasingly, the same signals that explain why a system is slow also explain when it’s unsafe.
In 2026, organizations that begin harnessing signals across both observability and security will move faster, operate more efficiently, and reduce risk- while those that maintain rigid silos between security and engineering will struggle to keep up.
Observability Data Becomes a Security Signal
One of the biggest revelations happening today is the acknowledgement that observability data contains rich security context. Traces can reveal unexpected execution paths. Metrics can surface anomalous behavior patterns. Logs can expose privilege misuse or policy drift.
Rather than standing up separate systems to collect similar data twice, forward-looking teams are beginning to ask a simpler question: why not use the same telemetry for both reliability and security insights? When traces, metrics, and logs are shared across teams, organizations gain deeper visibility and lower cost with less operational overhead.
In 2026, this approach will become standard practice. Security teams will increasingly rely on observability platforms as a primary signal source, not just a supplementary one. This will reduce alert fatigue, shorten investigation cycles, and allow teams to reason about incidents- whether performance or security-related-using a single, shared source of truth.
Governance Engineering Replaces Manual Compliance
As cloud environments grow more dynamic, traditional compliance models are reaching their limits. Static audits and manual reviews can’t keep pace with systems that change by the minute. In response, 2026 will mark the rise of Governance, Risk, and Compliance (GRC) engineering- the practice of embedding policy enforcement and compliance controls directly into infrastructure and runtime systems.
Instead of checking compliance after the fact, organizations will increasingly codify rules around access, data handling, and system behavior. These policies will be continuously evaluated using real-time telemetry, allowing teams to detect and respond to violations as they happen.
This shift will be especially important as AI-driven systems and automated agents take on more operational responsibility. When decisions are made by software, governance can no longer be a quarterly exercise. It must be observable, auditable, and enforced continuously.
Real-Time Asset Visibility Becomes Mandatory
Another major challenge facing security teams is asset visibility. In cloud-native environments, assets are ephemeral by design. Services spin up and down, containers are replaced, and configurations shift constantly. Static inventories are outdated almost as soon as they’re created.
In 2026, organizations will increasingly depend on observability data to maintain real-time asset awareness. Telemetry will be used to answer fundamental security questions: What’s running right now? Where is it deployed? What does it talk to? This dynamic visibility will be essential not only for security operations, but also for incident response, compliance reporting, and risk assessment.
Without it, teams will continue to operate with blind spots that attackers can exploit.
AI Becomes a Force Multiplier for Security Operations
AI’s role in security will expand significantly in 2026, but not in the way many expect. Rather than replacing analysts, AI will act as a force multiplier- helping teams sift through enormous volumes of telemetry, correlate signals, and surface meaningful patterns faster than humans can alone.
The key will be context. AI systems that operate without high-quality, well-structured data will produce noise rather than insight. That’s why the convergence of observability and security is so critical. Clean, normalized telemetry provides the foundation AI needs to assist with triage, anomaly detection, and investigation in a way that’s trustworthy and actionable.
Conclusion
In 2026, security will no longer be something bolted on to systems after they’re built, and observability will no longer be viewed solely as a performance tool. Together, they will form the operational backbone of modern cloud-native infrastructure, enabling organizations to move fast without losing control.
The companies recognizing this convergence early won’t just be more secure. They’ll be more resilient, more efficient, and better prepared for whatever comes next.
