As security policies evolve, rulebases naturally become more complex. New rules are added, existing policies are updated, and priorities change over time. This can sometimes result in rule shadowing—a situation where a higher-priority rule already covers the same event type, source, and destination as another rule, preventing the lower-priority rule from ever being enforced.
To make these situations easier to identify and resolve, we’ve introduced automatic Rule Shadowing Detection.
Workforce AI Security now analyzes the rulebase and automatically identifies rules that are shadowed by higher-priority rules. When a rule cannot be enforced because another rule already takes precedence for the same event type, source, and destination, it is flagged directly in the rulebase.
Instead of simply indicating that there is a conflict, the rulebase provides a detailed explanation of why the rule is shadowed, helping administrators quickly understand which rule is taking precedence and why.
This makes it easier to maintain a clean and effective security policy, troubleshoot unexpected rule behavior, and identify redundant or ineffective rules before they create confusion.
With Rule Shadowing Detection, administrators gain greater visibility into how their policies are enforced—making rule management simpler, clearer, and more predictable.
