More than 200 days into the Super Intelligence era, the implications for business are becoming clearer. Technology is accelerating offense and complexity faster than many enterprises can reduce accumulated risk. Capabilities once limited by specialized expertise are becoming more accessible. Vulnerability discovery and attack automation are moving at warp speed. Remediation is not. At the same time, the frontier’s rapid advancement is increasing dependence on hardware, data centers, telecommunications, water and power. We are all increasingly interconnected, which means resilience ultimately depends on how well the whole ecosystem works together.
Earlier this year, we shared 10 actions that enterprises can take to strengthen cyber resilience. Those actions remain important foundations. What is now clearer is that AI magnifies risks accumulated over time. Complexity itself has become a security risk.
We are already seeing that critical vulnerabilities can trigger urgent, large-scale remediation efforts. Technology that is outdated or unsupported can become a liability overnight. And as companies race to deploy AI agents, security has to advance with it.
For CEOs, the imperative is clear: Change assumptions, shorten decision cycles and build resilience. Reduce accumulated technology risk while ensuring that products and infrastructure being built today are secure and resilient by design.
Change assumptions
Practices and risks that were acceptable in a former technology environment may no longer be tolerable. When technology and threats move faster, tolerance for avoidable risk has to change too. Outdated technology, internet-facing systems and remediation timelines designed for a slower environment can become liabilities with little warning.
Leaders need to reset risk appetite, make exceptions explicit, fund the necessary change and establish accountability across product, technology, security, operations and suppliers.
That does not mean treating every problem as equally urgent. It means acting decisively where exposure and potential impact are greatest and directing resources accordingly.
Make technology currency non-negotiable
Challenge the notion that stable technology is safe technology. Software or hardware can continue to operate while becoming progressively harder to protect. When vendors or software maintainers stop supporting older technology, security patches will stop too. This is known as end of support (EOS). EOS is predictable. Accepting the risk is a choice.
PHP illustrates the issue. When serious vulnerabilities emerged, security fixes were provided only for the current version. Organizations running older versions had to move to current or remove the dependency. The same principle applies to unsupported programming platforms, open-source libraries, operating systems and aging hardware.
Unsupported technology should be treated as a time-sensitive business liability. Any exception should have an accountable owner, funding, compensating controls and a dated exit plan.
Start with a complete, current inventory of software and hardware. Then prioritize by asking three questions:
- How exposed is it? Can it be reached directly from the internet?
- Can we protect it? Can it still receive timely security fixes?
- What is the impact? Could compromise or failure affect customers, disrupt critical operations or impede recovery?