October 2026 | Cybersecurity and Compliance
Most security programs grew up around prevention: firewalls, endpoint protection, access controls, and patching. Those controls still matter. The organizations that handle incidents well, though, share another habit. They plan, test, and measure how they recover.
Cyber resilience describes an organization's ability to keep delivering essential services through a disruption and restore normal operations afterward. NIST frames it around four goals: anticipate, withstand, recover, and adapt. That framing shifts the conversation from how to stop every attack to how to keep the business running when something gets through.
Know what matters most
Resilience starts with a short list of business services that cannot go down, along with the systems, data, and people each one depends on. Without that map, teams end up deciding recovery priorities in the middle of an incident.
Set recovery targets the business agrees with
Recovery time objectives and recovery point objectives help only when business owners have signed off on them. A target that IT sets alone often fails its first real test.
Protect and test backups
Backups that share credentials or network access with production systems can fail exactly when a team needs them. Immutable or isolated copies, paired with regular restore tests, give teams confidence that recovery will work.
Rehearse before it counts
Tabletop exercises put leadership, IT, legal, and communications in the same room to walk through a realistic scenario. They expose gaps in decision rights, contact lists, and playbooks while there is still time to fix them.
Measure readiness, not only activity
Prevention metrics such as patch compliance or blocked threats tell part of the story. Resilience adds a second set: how long a full restore of a critical system takes, when the team last tested it, and whether tabletop findings got closed. These measures give leadership a clearer view of readiness than activity counts alone.
Resilience does not replace prevention. It accepts that no control set is perfect and treats recovery as a capability to design, test, and improve.