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Introduction: The Rules That Protect You Can Also Become Your Blind Spot
Cloud firewalls are rarely simple for long. What begins as a handful of carefully designed security rules can eventually become hundreds or even thousands of entries accumulated through application launches, infrastructure migrations, incident-response changes, compliance requirements, and years of operational history.
The problem is not necessarily having too many rules. The real danger is not knowing which rules are actually doing anything.
AWS has now addressed a long-standing visibility problem in AWS Network Firewall by introducing stateful rule hit counts, allowing security teams to see how frequently individual firewall rules match network traffic. AWS announced the capability on August 17, 2026, and explained that it is designed to help organizations identify unused or redundant rules, validate newly deployed controls, improve investigations, and strengthen firewall governance.
For security teams, this is more than another monitoring metric. A firewall rule that exists on paper but never matches traffic may be obsolete, incorrectly ordered, or simply protecting an unusual workflow. Conversely, a rule suddenly generating thousands of matches could reveal a major change in application behavior—or something much more suspicious.
The new feature turns that uncertainty into measurable evidence.
AWS Network Firewall Finally Shows Which Rules Are Working
AWS Network Firewall already provides traffic inspection and logging capabilities, but determining which individual stateful rules were actively matching traffic could require teams to work through logs manually.
That becomes increasingly painful as environments scale.
An enterprise might have rules covering outbound connections, suspicious domains, geographic restrictions, application protocols, known indicators, lateral movement, and custom security policies. Looking through raw logs to determine which of those rules are active is possible, but it is hardly an efficient way to manage a modern security policy.
AWS’s new rule hit count capability changes that by exposing rule-level match activity directly through the Network Firewall monitoring experience.
The result is a much clearer question:
Which rules are actually seeing traffic right now?
Why Firewall Rule Visibility Matters
Firewall policies tend to grow rather than shrink.
A temporary rule created during an incident can remain for years. A rule designed for an application that was later retired may still occupy policy space. A rule may technically exist but never execute because another rule positioned ahead of it captures the traffic first.
This creates what security engineers often call policy hygiene problems.
Unused rules are not automatically dangerous, but they increase complexity. Complexity makes policies harder to understand, harder to audit, and easier to misconfigure.
AWS’s rule hit counts provide an evidence layer that can help security teams determine whether individual controls are actively participating in traffic decisions.
How AWS Rule Hit Counts Actually Work
The important detail is that the counter is tied to alert log generation.
AWS explains that the hit counter increments when a stateful rule match results in an alert log. That means rules using alert, drop, or reject actions can contribute to the hit count because those actions generate alert records.
This distinction matters because not every rule behaves the same way.
A pass rule normally permits traffic without generating an alert record. Consequently, a normal pass rule will not appear in the rule hit count.
That does not mean the rule is inactive.
It means the rule is not generating the telemetry required by the hit-count mechanism.
The Pass Rule Exception
Organizations that want to measure traffic matching a pass rule can include the alert keyword in the Suricata-compatible rule.
For example:
pass tls $HOME_NET any -> $EXTERNAL_NET 443 \n(msg:"Pass and Log HTTPS traffic"; alert; sid:1000001; rev:1;)
The important behavior is that the traffic is still permitted.
The alert keyword simply causes the match to produce an alert log, allowing AWS Network Firewall to count it.
This is particularly useful when teams need evidence that an explicitly authorized application or outbound connection is actually using a permitted path.
Suricata Signatures Become the Fingerprints of Firewall Activity
AWS Network Firewall relies on Suricata-compatible stateful rules, and the new feature uses rule metadata to associate an alert with the rule that generated it.
Two pieces of information are especially important:
The AWS resource ARN identifies the relevant rule-group resource.
The Suricata signature ID, or sid, identifies the specific rule.
AWS uses this combination to calculate rule hit counts and populate its Top Rule Hits monitoring view.
This is a useful design because security teams do not have to interpret thousands of individual network events just to answer the basic question of whether a rule has been triggered.
The Top Rule Hits Dashboard
The new dashboard gives administrators a consolidated view of rule activity.
AWS says the Top Rule Hits view aggregates results for a firewall across Availability Zones within the AWS Region where that firewall operates.
The dashboard can expose information including:
Hit count
Percentage of total matches
Resource ARN
Signature ID
Rule description
Last occurrence
That final field can be particularly valuable during investigations.
Knowing that a rule has matched is useful.
Knowing when it last matched is much more useful.
Turning a Firewall Dashboard Into an Investigation Tool
Imagine that a security team receives an alert at 14:30 UTC indicating suspicious outbound activity.
Previously, analysts might need to search through large volumes of firewall logs, determine which signatures were involved, correlate timestamps, and reconstruct the traffic path.
With rule hit counts, investigators can immediately narrow the timeframe and inspect rules that became active around the incident.
A suspicious signature that suddenly appears during the investigation window can become an important lead.
This does not replace full log analysis, packet inspection, endpoint telemetry, or SIEM correlation.
Instead, it provides a faster starting point.
Suspicious Egress Activity Becomes Easier to Spot
Outbound traffic deserves particular attention because compromised systems often need external communication to complete an attack.
A firewall rule detecting communication with an unusual external domain may suddenly begin producing matches.
That could represent:
Command-and-control communication
Data exfiltration
Malware callbacks
Vulnerability testing
Unauthorized software
Security testing infrastructure
Unexpected application behavior
AWS itself highlights the usefulness of rule-hit visibility during investigations involving suspicious connections and external testing infrastructure.
The key is context.
A hit is an observation—not automatically proof of compromise.
Finding Stale Rules Without Guesswork
One of the most practical uses of the feature is firewall cleanup.
Suppose a policy contains 500 stateful rules.
After reviewing a defined lookback period, the security team discovers that 100 signatures never appeared in the hit data.
That is a reason to investigate.
It is not a reason to immediately delete all 100 rules.
A rule with zero hits could be obsolete. But it could also protect a rarely used administrative system, a disaster-recovery workflow, a quarterly financial process, or another business-critical function.
Security teams should combine hit data with application ownership, asset inventories, architecture documentation, change-management records, and business requirements before removing a rule.
Rule Ordering Can Be the Real Problem
An apparently unused rule may not actually be unnecessary.
It could be hidden behind another rule.
Firewall rule ordering can determine which rule sees a particular traffic flow first. If a broader rule captures traffic before a more specific rule gets a chance to match, the downstream rule may remain silent indefinitely.
That means a zero-hit rule can sometimes reveal a policy design problem rather than a useless rule.
This is one of the most valuable analytical possibilities of the new capability.
Instead of asking only, “Can we delete this rule?” security engineers can ask:
Why has this rule never been reached?
Validating Newly Deployed Security Controls
The feature also works in the opposite direction.
Instead of looking for inactive rules, teams can use hit counts to verify newly deployed controls.
Imagine a security engineer creates a rule designed to identify traffic associated with a specific application category.
The rule is deployed.
If the expected traffic starts generating hits, the team gains evidence that the control is actually seeing the traffic it was designed to monitor.
That provides a feedback loop:
Design → Deploy → Observe → Validate → Tune.
This is much stronger than simply assuming that a successful configuration deployment means a security control is working.
Compliance Gets a Stronger Evidence Trail
Security compliance increasingly requires organizations to demonstrate that controls are not merely configured but operating effectively.
A screenshot showing that a firewall rule exists proves configuration.
It does not necessarily prove that the rule is seeing production traffic.
Rule hit data can help bridge that gap.
Teams can use the telemetry as supporting evidence when reviewing security controls, validating policy changes, or demonstrating operational activity during audits.
AWS specifically positions the capability as useful for compliance and governance scenarios, including environments dealing with frameworks and regulations that require evidence of functioning controls.
CloudWatch Logs and Amazon S3 Keep the Data Accessible
The dashboard is not the only way to work with this information.
AWS Network Firewall can deliver alert logs to Amazon CloudWatch Logs or Amazon S3.
When logs are available in CloudWatch, teams can analyze them with CloudWatch Logs Insights.
When logs are stored in S3, Amazon Athena can be used for querying and investigation.
This opens the door to custom security workflows.
Organizations can feed the same information into broader observability systems, SIEM platforms, dashboards, detection pipelines, and automated security analytics.
Deep Analysis: Querying and Investigating Rule Activity
For defenders working directly with AWS logging infrastructure, the new capability becomes particularly interesting when combined with structured log analysis.
A basic CloudWatch Logs Insights investigation can begin with:
fields @timestamp, firewall_name, event.alert.signature_id,
event.alert.signature, event.alert.action,
aws_metadata.resource_arn, src_ip, dest_ip, dest_port
| filter event_type = alert
| sort @timestamp desc
| limit 100
Security teams can then focus on a specific signature:
fields @timestamp, event.alert.signature_id,
event.alert.signature, src_ip, dest_ip,
dest_port, aws_metadata.resource_arn
| filter event.alert.signature_id = 1000001
| sort @timestamp desc
During an incident, restricting the search to a known time window can dramatically reduce investigation noise:
fields @timestamp, src_ip, dest_ip,
event.alert.signature_id,
event.alert.signature
| filter @timestamp >= 2026-08-24T08:00:00
and @timestamp <= 2026-08-24T09:00:00
| filter event_type = alert
| sort @timestamp asc
Teams can also aggregate events by signature:
stats count() as hits by event.alert.signature_id,
event.alert.signature
| sort hits desc
The exact field structure should be validated against the organization’s Network Firewall log format before using these queries in production.
AWS CLI Can Help With Operational Verification
AWS CLI can also be useful when engineers are checking the surrounding Network Firewall configuration.
For example, administrators can list their Network Firewall resources with commands such as:
aws network-firewall list-firewalls
–region us-east-1
A firewall’s configuration can then be inspected:
aws network-firewall describe-firewall
–firewall-name YOUR_FIREWALL_NAME
–region us-east-1
For stateful rule groups:
aws network-firewall list-rule-groups
–scope STATEFUL
–region us-east-1
And a specific rule group can be inspected with:
aws network-firewall describe-rule-group
–rule-group-name YOUR_RULE_GROUP
–type STATEFUL
–region us-east-1
These commands do not replace the hit-count dashboard. They complement it by connecting observed activity with the configuration responsible for producing that activity.
A Better Firewall Maintenance Cycle
The most mature organizations should treat rule hit counts as part of a continuous lifecycle rather than a one-time cleanup exercise.
A practical process looks like this:
First, measure.
Collect rule activity over an appropriate observation window.
Second, classify.
Separate heavily used rules, rarely used rules, and rules with no observed matches.
Third, investigate.
Determine whether inactive rules are obsolete, incorrectly ordered, intentionally dormant, or protecting rare workflows.
Fourth, validate ownership.
Identify the application or team responsible for each questionable rule.
Fifth, change carefully.
Remove, modify, or reorder rules through established change-control procedures.
Finally, measure again.
Confirm that the resulting policy behaves as expected.
This turns firewall management into an evidence-driven process instead of a guessing game.
The Hidden Risk of Zero-Hit Rules
There is an important security lesson here.
A rule that never matches is not necessarily harmless.
Every additional rule adds cognitive complexity to the security policy. Over time, complicated policies can become difficult to review and understand.
An analyst responding to an incident needs to know what the firewall is actually doing.
If the policy contains hundreds of forgotten exceptions, contradictory rules, and obsolete entries, that understanding becomes harder.
Therefore, rule-hit visibility can indirectly improve incident response by reducing policy uncertainty before an incident occurs.
High Hit Counts Need Investigation Too
The opposite problem deserves equal attention.
A rule generating millions of hits may be perfectly normal.
A high-volume rule could simply be protecting a heavily used application or blocking common unwanted traffic.
But an unexpected spike can also indicate a major change.
For example, if a rule normally records 20 matches per hour and suddenly records 20,000, something changed.
Potential explanations include:
Application deployment
Network routing changes
New software
Misconfiguration
Internet scanning
Malware propagation
Attack activity
A newly exposed service
The hit count itself does not explain the cause.
It tells defenders where to look.
Hit Counts Should Not Become a Replacement for Logs
This distinction is critical.
A rule counter is a summary signal.
Full logs provide the investigative details.
If a rule records 500 hits, analysts may still need to know which source systems generated those matches, which destinations were contacted, which ports were used, when the activity occurred, and whether the traffic was blocked or allowed.
For that reason, organizations should retain appropriate logging even after adopting rule-hit visibility.
AWS explicitly notes that standard CloudWatch, S3, and Athena costs can still apply depending on how logs are stored and queried.
Cost Is Not Entirely Eliminated
AWS says the rule hit count capability itself is available at no additional Network Firewall charge.
However, normal costs associated with logging, storage, and querying still apply.
That means organizations should avoid interpreting “no additional charge” as “zero operational cost.”
Large environments can generate enormous quantities of firewall telemetry.
Retention policies, log filtering, storage tiers, and query efficiency therefore remain important.
A security team that turns on every possible log and stores everything indefinitely can create a surprisingly expensive observability pipeline.
Stateful Rules Are the Current Boundary
There is another limitation security teams need to understand.
The capability applies to stateful rules.
AWS states that stateless rules do not currently support rule hit tracking.
This means organizations should not assume that every firewall decision will appear in the new dashboard.
The feature is powerful, but it should be viewed as a new visibility layer for stateful policy activity rather than a universal counter for every Network Firewall action.
Regional Availability Matters
AWS announced the capability across supported AWS Network Firewall Regions, but there are exceptions.
According to AWS, rule hit counts are available in supported Regions except the Middle East (UAE) and Middle East (Bahrain) Regions.
This is particularly relevant for organizations operating multi-Region architectures.
Security teams should verify feature availability in every Region where they intend to standardize firewall monitoring.
The Bigger Security Picture
The most interesting aspect of this announcement is not the dashboard itself.
It is the shift from configuration visibility to behavioral visibility.
Traditional firewall management often asks:
What rules do we have?
Rule hit counts encourage a more useful question:
What are our rules actually seeing?
That difference is enormous.
Security policies are ultimately designed to influence real network behavior. Measuring that behavior allows defenders to compare policy intent with production reality.
What This Means for Security Operations
For SOC teams, rule hit counts can provide another signal during investigations.
For cloud engineers, they provide better feedback when deploying firewall policies.
For security architects, they provide evidence when redesigning network controls.
For compliance teams, they provide additional operational evidence.
For security managers, they provide a clearer picture of whether firewall investments are producing measurable protection.
One relatively small feature can therefore touch several parts of the security lifecycle.
What Undercode Say:
Firewall Rules Are Not Valuable Just Because They Exist
A firewall policy can look impressive on paper and still be poorly optimized.
Hundreds of rules do not automatically mean hundreds of layers of protection.
Some may never match.
Some may be shadowed by earlier rules.
Some may exist only because nobody has been confident enough to remove them.
Rule hit counts finally give teams a practical way to confront that uncertainty.
Visibility Is Often More Valuable Than Another Detection Rule
The security industry frequently focuses on adding more detections.
More signatures.
More alerts.
More dashboards.
More telemetry.
But security maturity is also about understanding what existing controls are doing.
AWS’s new capability fits into that less glamorous but extremely important category.
It helps teams understand the behavior of controls they already deployed.
The Feature Could Reduce Firewall Technical Debt
Firewall technical debt accumulates quietly.
A rule is created for an emergency.
An exception is added for a new application.
A temporary restriction becomes permanent.
A migration changes traffic patterns.
Years later, nobody remembers why half the rules exist.
Rule hit counts create an opportunity to systematically reduce that debt.
Zero Hits Should Trigger Questions, Not Deletions
This is perhaps the most important operational warning.
A zero-hit rule is evidence.
It is not a deletion command.
Security teams should investigate the business purpose behind the rule before removing it.
Rarely used does not mean unnecessary.
A disaster-recovery rule might remain silent for years until the exact moment it becomes critical.
High Hit Counts Can Be Equally Important
A heavily triggered rule deserves attention too.
Security teams should understand whether the traffic is expected.
A massive number of blocked connections could indicate a successful defensive control—or an attack repeatedly hammering an environment.
The number is the beginning of the investigation.
Firewall Monitoring Is Becoming More Behavioral
Modern security operations increasingly depend on behavior rather than static configuration.
The same philosophy appears across endpoint security, identity monitoring, cloud detection, and application security.
AWS Network Firewall is moving further in that direction.
Instead of merely displaying policy configuration, it is beginning to show policy behavior.
This Can Improve Change Management
Security teams often deploy new firewall rules and then assume they work.
That assumption is risky.
A rule can be syntactically valid but logically ineffective.
It might never see the intended traffic.
It might be incorrectly ordered.
It might target the wrong destination.
Hit counts provide a feedback mechanism after deployment.
The Feature Could Help Detect Policy Blind Spots
An organization might discover that a rule expected to protect a particular application never fires.
That could indicate that traffic is taking another route.
It could also indicate that the
Either way, the result is valuable.
The absence of expected activity can be a security signal.
The Dashboard Should Feed the SOC, Not Sit Alone
Security teams should avoid creating another isolated dashboard that nobody checks.
Rule activity should ideally become part of broader operational workflows.
Unexpected spikes can generate investigations.
Newly activated rules can validate deployments.
Inactive rules can enter periodic policy reviews.
This is where the feature becomes significantly more valuable.
Automation Is the Logical Next Step
Once firewall rule activity becomes structured data, automation becomes possible.
A company could periodically identify rules with no matches for 30, 60, or 90 days.
Those rules could automatically be sent to their owners for review.
Another workflow could flag sudden changes in rule-hit volume.
A third could compare expected rule activity against actual production traffic.
The dashboard is only the beginning.
AI Could Eventually Make These Signals Even More Useful
As security teams increasingly use AI-assisted SOC workflows, rule-hit data could become another source of behavioral context.
An AI system could correlate:
Rule activity
CloudTrail events
VPC Flow Logs
Endpoint detections
DNS requests
Identity activity
Vulnerability data
The goal would not be to let AI blindly modify firewall rules.
The better use case is helping analysts understand why a rule suddenly became active.
AWS Is Moving Toward More Observable Security Controls
This feature fits a broader cloud-security trend.
Security controls need to become measurable.
Organizations increasingly want to know not just whether a security feature is enabled, but whether it is operating as expected.
That is an important distinction.
A security control that cannot be observed is difficult to validate.
The Compliance Benefit Is Bigger Than It Looks
Auditors frequently ask for evidence.
Configuration screenshots are useful, but operational evidence is stronger.
A record showing that a security control is actively matching relevant traffic can provide another layer of assurance.
It does not prove that the entire security architecture is effective.
But it can demonstrate that a particular control is functioning in production.
Attackers Benefit From Quiet Infrastructure
Attackers often attempt to blend into normal network behavior.
Defenders therefore need to notice unusual changes.
A rule that suddenly begins detecting unexpected outbound connections can become an early warning signal.
The faster defenders can identify that change, the faster they can begin containment.
But Context Remains King
A hit is not inherently malicious.
A blocked connection is not automatically an attack.
A large number of matches does not necessarily indicate compromise.
Security teams need context from other telemetry sources.
Rule hit counts should therefore be treated as an accelerator for investigation rather than a replacement for investigation.
The Most Valuable Metric May Be Change Over Time
Absolute hit counts are useful.
Trends can be even more useful.
A rule going from zero to 50 hits is interesting.
A rule going from 50 to 50,000 is potentially much more interesting.
Monitoring changes in behavior can expose anomalies that static dashboards miss.
Security Teams Should Establish Baselines
Organizations should consider establishing normal ranges for important firewall rules.
Once a baseline exists, significant deviations become easier to identify.
This creates a foundation for automated alerting.
It also makes incident response faster because analysts can immediately see what changed.
Rule Governance Should Become Continuous
Firewall governance should not happen once a year before an audit.
It should be continuous.
New rules should be validated.
Old rules should be reviewed.
Unexpected rules should be investigated.
Inactive rules should be assessed.
The new AWS capability makes that process considerably easier.
The Real Win Is Reduced Uncertainty
Cybersecurity is often a battle against uncertainty.
Where did the attacker enter?
What system did they reach?
Which connection was blocked?
Which control detected them?
Which rule actually matched?
Every answer reduces uncertainty.
AWS rule hit counts provide another way to remove one of those unknowns.
AWS Has Turned a Configuration Problem Into a Measurement Problem
That is a meaningful improvement.
Instead of asking whether a firewall policy looks correct, teams can begin asking whether its rules behave correctly under real traffic.
That is a much stronger operational model.
The Feature Will Be Most Valuable in Large Environments
Small environments may have relatively simple firewall policies.
Large enterprises can have enormous rule sets spanning multiple applications, accounts, VPCs, and Regions.
That is where manual log analysis becomes particularly painful.
For those organizations, automated rule-level visibility can save significant analyst time.
It Could Also Reduce Analyst Fatigue
Security analysts already deal with enormous quantities of telemetry.
If a dashboard can immediately highlight the rules that actually matched during an incident, analysts have a much smaller starting point.
That can shorten the path from detection to investigation.
The Best Security Teams Will Combine the Feature With Discipline
Technology alone will not fix firewall hygiene.
Organizations still need:
Clear ownership
Change control
Documentation
Asset inventories
Application knowledge
Logging
Retention policies
Incident-response procedures
Rule hit counts provide the evidence.
Teams still need to act on it.
AWS Has Added a Small Feature With Large Operational Potential
At first glance, a rule counter sounds simple.
In practice, it can influence firewall architecture, incident response, compliance, policy management, and security operations.
That is why this announcement deserves more attention than its relatively modest feature description might suggest.
The Bigger Lesson for Cloud Security
Cloud security is moving toward measurable controls.
It is no longer enough to deploy security technology and assume that protection follows.
Teams need to observe, measure, validate, and continuously improve those controls.
AWS Network Firewall rule hit counts are another step in that direction.
✅ AWS Added Stateful Rule Hit Counts
Confirmed. AWS officially announced Network Firewall rule hit counts on August 17, 2026. The feature provides visibility into how frequently stateful rules match network traffic.
✅ Alert, Drop, and Reject Rules Can Generate Hits
Confirmed. AWS states that the counter increments when a rule match creates an alert log, meaning alert, drop, and reject actions can contribute to the metric.
✅ Pass Rules Require Special Handling
Confirmed. A normal pass rule does not generate an alert log by default. AWS documents adding the alert keyword to a pass rule when teams want its matches represented in hit counts.
✅ CloudWatch Logs and Amazon S3 Are Supported
Confirmed. AWS says Network Firewall alert logs can be delivered to CloudWatch Logs or Amazon S3, with CloudWatch Logs Insights and Amazon Athena available for analysis.
✅ The Feature Has No Additional Network Firewall Charge
Confirmed, With an Important Qualification. AWS states that rule hit counts themselves carry no additional Network Firewall charge, but standard logging, storage, and query costs still apply.
⚠️ The Feature Does Not Cover Stateless Rules
Confirmed limitation. AWS explicitly states that rule hit counts currently apply to stateful rules and that stateless rules do not support the capability.
⚠️ Regional Availability Has Exceptions
Confirmed. AWS says the capability is available in supported Network Firewall Regions except the Middle East (UAE) and Middle East (Bahrain) Regions.
Prediction
(+1) Rule Hit Counts Will Become a Core Firewall-Governance Feature
AWS is likely to expand the visibility around firewall rule behavior because the basic metric creates opportunities for deeper automation.
Over time, organizations could use rule activity to build automated policy-review workflows, detect unexpected traffic changes, identify shadowed rules, and prioritize firewall cleanup.
The most important evolution will probably be the connection between rule-hit telemetry and automated security operations.
A firewall that can explain which rules are active is more useful than one that simply contains a large collection of policies.
The next logical step is making that intelligence actionable.
If AWS continues developing this capability, rule activity could eventually become another important signal feeding cloud security operations, compliance workflows, and automated incident investigation.
Final Verdict: A Simple Counter That Could Change How Teams Manage Firewalls
AWS Network Firewall’s new rule hit counts may sound like a small monitoring enhancement, but the underlying idea is much more important.
Security teams need to know whether their controls are actually interacting with production traffic.
They need to know which rules are active, which ones are dormant, which ones suddenly become noisy, and which newly deployed controls are behaving as expected.
Until now, answering those questions could require substantial log analysis.
Now, AWS is putting much of that visibility directly into the Network Firewall monitoring experience.
The feature does not eliminate the need for logs, threat intelligence, SIEM platforms, incident response, or careful security engineering.
It does something more practical.
It gives defenders evidence.
And in modern cloud security, evidence can be the difference between assuming a control works and actually proving that it does.
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