Cybersecurity has experienced significant wakeup calls this spring. In April, Anthropic confirmed that its Claude Mythos model had autonomously discovered thousands of zero-day vulnerabilities, including flaws that survived nearly three decades of expert review. In March, medical technology company Stryker was the target of a cyber attack – an attack that demonstrates that nation states are actively targeting western infrastructure and notably, that commercial companies are becoming a part of geopolitical signaling. 

Today’s security realities fundamentally redefine threat timelines. Quarterly compliance cycles and static evidence collection are no longer enough, especially considering the speed at which new threats are continually emerging: adversaries can now use AI to reverse-engineer a patch in just 24 to 48 hours, and the National Institute of Standards and Technology’s list of cybersecurity vulnerabilities and exposures (CVEs) increased 263% between 2020 and 2025.  

And yet, many high-reliability organizations (HROs), those companies and organizations that provide critical services, remain hamstrung by manual, fragmented compliance processes. Internal teams within U.S. military agencies, healthcare networks and financial institutions are spending hundreds of hours collecting screenshots, chasing evidence across siloed tools and producing static reports that are obsolete before they’re delivered. As a result, security signals go uncorrelated and the risk of ransom attacks, data leakage and infrastructure compromise – not to mention steep fines, loss of customer trust and full-on exploitation – skyrockets. Mythos makes this even more profound, given we can expect new critical vulnerabilities to be found and their subsequent patches or remediations to come quickly behind, requiring security teams to know exactly where they have these vulnerabilities and whether they’re resolved or not.  

The gap between what security systems actually are and what compliance postures claim them to be has quietly persisted for years, but it’s no longer acceptable. To evolve beyond expensive, inefficient, legacy systems that have largely been papered over by human effort, HROs should implement these three best practices:  

1. Shift from periodic evidence collection to continuous control monitoring. The most immediate structural change HROs can make is replacing point-in-time evidence gathering with automated, real-time telemetry tied directly to control requirements. Rather than assembling compliance artifacts ahead of an audit, systems should be instrumented to continuously validate that controls are active, configured correctly and producing auditable output. Doing so transforms compliance from a reporting exercise into an operational signal that surfaces drift before it becomes a finding and before an adversary can exploit it. Furthermore, direct integrations into key security tooling means security leaders can monitor their compliance status across complex tech stacks, IT, OT, and IOT, and various environments across cloud, on-prem, and hybrid. 
2. Harmonize controls across frameworks. Most HROs operate under multiple overlapping frameworks simultaneously. Each framework has distinct evidence requirements that are often satisfied redundantly by separate teams using separate processes, so implementing a cross-framework control mapping strategy can identify where requirements overlap and consolidate evidence collection into unified workflows. This can significantly reduce manual burden while also improving posture consistency across the compliance surface. In a high-CVE environment, eliminating duplicative efforts is critical to freeing resources to focus on remediation rather than documentation. 
3. Correlate security stack signals with compliance posture in real time. The most dangerous version of the security and compliance gap isn’t one that shows up in an audit; it exists silently between cycles. Security tools generate continuous telemetry (e.g., patch statuses, configuration changes, anomalous access and failed controls), but compliance processes rarely ingest that data in real time. Bridging that correlation enables a security event to automatically surface as a compliance implication, which closes the security and compliance gap structurally, as opposed to administratively. 

When implementing these best practices, HROs should plan for a phased adoption window of ~12 to 24 months, depending on their current infrastructure complexity and organizational readiness. Most importantly, progress needs to be measured. The following metrics can help objectively gauge effectiveness, while also bolstering stakeholder support: 

• Patch-to-documentation lag: The elapsed time between a patch being applied and compliance evidence reflecting that change. In a post-Mythos environment, anything measured in weeks rather than minutes and hours represents exploitable exposure. 

• Control coverage rate: The percentage of required controls that are continuously monitored versus manually validated periodically. HROs should target a trajectory toward 80%+ continuous coverage within 18 months. 

• Mean time to compliance evidence: The average time required to produce evidence for a single control on demand. HROs should baseline this number and then track its reduction as automation matures. 

• Audit finding recurrence rate: The percentage of findings that reappear across consecutive audit cycles. High recurrence indicates that remediation is being documented but not operationalized, which is a structural problem that automation alone can’t solve without proper control of ownership. 

The consequences of allowing the security and compliance gap to persist go beyond audit findings and remediation costs. HROs that can’t demonstrate continuous compliance face increasing friction in authorization processes, including Authorization to Operate (ATOs) that take longer, Federal Risk and Authorization Management Program (FedRAMP) packages that require more manual intervention and Cybersecurity Maturity Model Certification (CMMC) assessments that expose gaps static programs can’t credibly resolve. What’s more, as AI continues to accelerate CVE volume, patch obligations are increasing faster than HROs’ manual teams can document them, which itself becomes another security vulnerability — one that isn’t documented anywhere and is exploitable by any adversary with access to the same tools defenders are just beginning to adopt.  

Ultimately, HROs that can’t demonstrate continuous control validation in the event of a breach face a materially different liability scenario than those that can show real-time evidence of due diligence. This is why continuous, automated compliance is no longer a modernization initiative. Rather, it’s the only operational posture capable of closing the perilous security and compliance gap before adversaries can walk through it. The safety of our country and systems depends on it.