Notifications
Clear all
Topic starter
21/08/2026 5:00 pm
TL;DR: Source code scanning can find vulnerabilities before release, but exploitation now often begins before patching is complete, according to AccuKnox. That makes runtime enforcement the decisive control layer because attack paths, privilege use, and process behaviour matter once an attacker is already inside.
NHIMG editorial — based on content published by AccuKnox: Mythos Handles Code Scans But What About Runtime Security?
By the numbers:
- Anthropic's Project Glasswing has already surfaced thousands of serious vulnerabilities across major operating systems and browsers, including flaws that sat undetected for 17 to 27 years.
- Accelerated offensive AI has contributed to an 89% year-over-year increase in AI-assisted attacks, according to CrowdStrike's 2026 Global Threat Report.
Questions worth separating out
Q: What fails when organisations rely on code scanning without runtime enforcement?
A: The failure is that teams discover defects without constraining what an attacker can do after compromise.
Q: Why do workload identities matter so much once software is deployed?
A: Workload identities define what a running process can reach, modify, or call.
Q: How do teams know if runtime controls are actually working?
A: They should be able to trace a decision from source event to applied rule to final outcome without gaps.
Practitioner guidance
- Anchor runtime policy to actual process behaviour Define allowed file, network, and syscall actions for each critical workload, then block deviations rather than only alerting on them.
- Separate discovery from enforcement in your control design Treat vulnerability scanning as an upstream input to policy tuning, not as a compensating control.
- Review workload identities alongside runtime permissions Map each service account, API token, and certificate to the specific actions the workload performs in production.
What's in the full article
AccuKnox's full analysis covers the operational detail this post intentionally leaves for the source:
- Kernel-level enforcement mechanics with eBPF and LSM for blocking unsafe workload behaviour.
- KubeArmor deployment context for containers, Kubernetes, VMs, and serverless environments.
- AI workload security capabilities, including runtime controls for agentic and model-adjacent systems.
- The published outcome metrics behind alert-noise reduction and audit-preparation time savings.
👉 Read AccuKnox's analysis of runtime security gaps in the Mythos era →
Runtime security for workloads: are your controls keeping up?
Explore further
21/08/2026 5:16 pm
Runtime security is now the decisive control for post-exploitation governance. Code discovery can tell teams where defects exist, but it cannot govern what a compromised workload is allowed to do. That leaves an assumption gap between vulnerability management and operational security. The practitioner conclusion is straightforward: if the exploit window can open before remediation closes, enforcement has to live at runtime.
A question worth separating out:
Q: Who is accountable when a vulnerability is known but runtime controls are absent?
A: Accountability usually spans application owners, cloud security, IAM, and platform teams because the failure crosses code, identity, and operations. If the organisation knew a patch window existed but did not govern runtime behaviour, the gap is a control design issue, not just a remediation delay.
👉 Read our full editorial: Runtime security closes the gap code scanning cannot reach
