The modern eBPF probe is Falco’s newer kernel instrumentation model built around CO-RE, which stands for Compile Once, Run Everywhere. It is designed to improve portability, stability, and performance by avoiding per-kernel probe builds. For teams, it represents the preferred path for current Linux environments.
Expanded Definition
A modern eBPF probe is a kernel telemetry mechanism that uses eBPF and CO-RE, or Compile Once, Run Everywhere, to collect security-relevant events without maintaining per-kernel builds. In NHI and agentic security programs, it is often used to observe process execution, file access, network activity, and privilege changes with lower operational friction than legacy kernel modules.
Definitions vary across vendors on how much of the runtime stack should be considered part of the probe itself. In practice, the term usually refers to the eBPF program plus the loader, compatibility logic, and policy integration needed to make the sensor durable across Linux distributions. That portability matters because Linux kernel differences can otherwise create blind spots, brittle deployments, or long rebuild cycles. For governance context, see NIST Cybersecurity Framework 2.0 for how continuous monitoring supports detection and response objectives.
The most common misapplication is treating a modern eBPF probe as a drop-in replacement for all endpoint visibility, which occurs when teams assume kernel telemetry alone is enough to cover identity, configuration, and control-plane risk.
Examples and Use Cases
Implementing a modern eBPF probe rigorously often introduces a tradeoff between deeper kernel insight and the need to validate compatibility, performance impact, and policy tuning across varied Linux fleets.
- Monitoring suspicious execution paths for AI agents that spawn shells, invoke compilers, or access secrets outside approved workflows.
- Detecting unexpected file reads or writes that expose API keys, certificates, or token material during build and runtime activity.
- Tracing network connections from service accounts to identify lateral movement or exfiltration attempts in workloads that rely on NHI credentials.
- Supporting portable deployment across multiple kernel versions using CO-RE, reducing the need for per-host sensor rebuilds.
- Correlating kernel events with NHI lifecycle controls described in the Ultimate Guide to NHIs and with broader monitoring guidance from NIST Cybersecurity Framework 2.0.
Why It Matters in NHI Security
Modern eBPF probes matter because NHI compromise rarely presents as a single obvious credential event. Attackers often abuse service accounts, tokens, or agent permissions after initial access, so kernel-level telemetry becomes valuable when identities are already active inside Linux hosts. NHIMG reports that 80% of identity breaches involved compromised non-human identities such as service accounts and API keys, which underscores why detection must extend beyond login logs and into runtime behavior. The Ultimate Guide to NHIs also shows that 97% of NHIs carry excessive privileges, which makes event visibility essential for spotting misuse before it becomes persistence or data theft.
For defenders, the practical value is correlation. A modern eBPF probe can help tie a token, process, and network action together when other tools only show isolated alerts. That makes it useful for Zero Trust validation, incident containment, and post-compromise analysis. Organisationally, the need for this term usually becomes clear only after suspicious workload behavior, unauthorized secret use, or a breach investigation reveals that traditional logs were too sparse to explain what happened.
Standards & Framework Alignment
This section maps relevant standards and security frameworks to the operational risks and controls described in this guidance.
OWASP Non-Human Identity Top 10 and OWASP Agentic AI Top 10 address the attack and risk surface, while NIST CSF 2.0, NIST Zero Trust (SP 800-207) and NIST AI RMF set the governance and control requirements practitioners need to meet.
| Framework | Control / Reference | Relevance |
|---|---|---|
| OWASP Non-Human Identity Top 10 | NHI-08 | Runtime visibility helps detect misuse of non-human identities after credential abuse. |
| NIST CSF 2.0 | DE.CM | Continuous monitoring is the control family most aligned to kernel telemetry probes. |
| NIST Zero Trust (SP 800-207) | TA | Telemetry from trusted workloads supports ongoing assessment in Zero Trust architectures. |
| NIST AI RMF | MAP/MEASURE | AI systems need observability to measure operational and security risk in production. |
| OWASP Agentic AI Top 10 | A02 | Agentic systems can expose dangerous tool use and execution chains at the kernel layer. |
Instrument workloads to watch NHI actions at runtime and alert on abnormal process, file, or network behavior.