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06/07/2026 9:40 am
TL;DR: Runtime exploit blocking detects malicious syscall patterns inside running applications and stops exploit execution without killing containers or interrupting uptime, according to Oligo Security. The implication is that patching, perimeter filtering, and post-exploit containment are no longer enough when attackers can iterate faster than remediation cycles.
NHIMG editorial — what this means for NHI practitioners
Questions worth separating out
Q: How should security teams use runtime blocking to reduce application exploit risk?
A: Use it as a production control that stops exploit behaviour at execution time, especially when patching is slow or risky.
Q: Why do technique-based controls work better than payload filters for modern exploits?
A: Technique-based controls target the exploit method itself, not the exact string or signature used in one attack.
Q: What breaks when teams rely only on WAFs and post-exploit containment?
A: They often miss what happens inside the application, where the actual exploit completes.
Practitioner guidance
- Map exploitable execution paths in production applications Identify which function-to-syscall sequences would never be legitimate in your most exposed services, then define them as candidate blocking rules.
- Use runtime controls to bridge long remediation windows Treat runtime exploit blocking as compensating protection when patching takes weeks or when a fix is not yet available.
- Separate application blocking from container kill-switches Do not rely only on process termination or container shutdown for exploit response.
What's in the full announcement
Oligo Security's full product post covers the operational detail this post intentionally leaves for the source:
- The syscall-level detection logic used to distinguish benign execution from exploit behaviour in production
- Examples of technique-based blocking across deserialisation, JNDI injection, and template injection paths
- How the runtime sensor enforces blocks without killing containers or adding network proxy overhead
- The AI-focused use cases the vendor maps to runtime exploit blocking for embedded agents and AI-powered apps
👉 Read Oligo Security's product post on runtime exploit blocking →
Runtime exploit blocking for AI-era apps: are your controls keeping up?
Explore further
06/07/2026 9:56 am
Technique-based runtime blocking is a more realistic control model than patch-only defence. Attackers are already using AI to accelerate vulnerability discovery and exploit development, which compresses the time available to remediate known issues. In that environment, security programmes that treat patching as the primary mitigation are structurally behind the threat curve. The practitioner conclusion is that exploit prevention must move closer to execution time, not remain a post-discovery activity.
A few things that frame the scale:
- Organisations maintain an average of 6 distinct secrets manager instances, creating fragmentation that undermines centralised control, according to The State of Secrets in AppSec.
- Only 44% of developers are reported to follow security best practices for secrets management, exposing a significant developer behaviour gap, according to The State of Secrets in AppSec.
A question worth separating out:
Q: Should organisations block exploit behaviour before or after incident response?
A: Before, when possible. Incident response still matters, but waiting for a live incident means the exploit path has already been used. Runtime blocking gives teams a way to close that path in seconds while preserving service continuity. The stronger posture is to make blocking part of normal exposure management, not only an emergency action.
👉 Read our full editorial: Runtime exploit blocking changes how teams protect AI-era apps
