AI is shifting cybersecurity from preventing breaches to neutralizing them

Cybersecurity spending keeps rising, yet the definition of effective cyberdefense may be changing faster than many organizations realize. Vulnerability exploitation has become the leading way attackers breach organizations, accounting for 31 percent of incidents for the first time in nearly two decades. At the same time, artificial intelligence is compressing the window between vulnerability discovery and exploitation from months to hours.

The shift is forcing cybersecurity leaders to reconsider one of the industry’s longest-standing assumptions. For decades, success has largely been measured by how effectively organizations could prevent attackers from gaining access. As AI compresses attack timelines and expands the scale of cyberthreats, many experts argue that this standard is becoming increasingly difficult to sustain.

The conversation is beginning to move beyond whether every breach can be stopped. Instead, it is turning toward a more fundamental question: if attackers inevitably reach sensitive information, should cyber resilience be measured by preventing the breach, or by ensuring the stolen data has little or no value once it leaves the network?

For Jan Lane, founder and CEO of Visio Cyber AI, those developments point to a much larger shift than faster cyberattacks. She believes organizations have spent decades measuring cybersecurity by whether attackers can be kept out, when the more important question has become whether stolen data would remain valuable if they get in.

“The traditional techniques used to protect data are no longer sufficient,” Lane says. “Organizations have to assume their information may eventually be breached. The goal should be making sure that whatever attackers reach cannot be read, used or turned into business value.”

That perspective challenges the prevention-first model that has shaped cybersecurity for decades. Firewalls, endpoint protection, access controls, monitoring systems and security operations platforms remain essential, but Lane believes preventing every breach is no longer an adequate measure of cyber resilience. “AI has accelerated reconnaissance, phishing, vulnerability discovery and intrusion attempts, giving threat actors the ability to test systems at a scale and speed that human-led teams may struggle to match,” she says.

The financial stakes reinforce the urgency. A report placed the global average breach cost at $4.44 million. The same research found that 97 percent of organizations reporting an AI-related security incident lacked proper AI access controls, while 63 percent lacked AI governance policies. Lane believes these figures should prompt executives to broaden the question they ask about cyber preparedness. The issue is no longer limited to whether an attacker can enter a system. It also includes whether compromised customer records, financial information, intellectual property, healthcare data or government information would retain any usable value.

According to Lane, many companies have responded to rising threats by adding more products to already crowded security stacks. She says the result can be disconnected platforms, competing dashboards, integration challenges and streams of alerts that dilute visibility. “The more tools organizations add, the more difficult it can become to understand how those tools work together,” she explains. “Security should help leaders see what matters clearly and act before complexity slows the response.”

Lane believes the industry is approaching an inflection point. From her perspective, cybersecurity can no longer be judged solely by whether attackers penetrate a system. The defining measure of resilience is whether compromised information retains any practical value after a breach.

“The question leaders should be asking is what happens when someone gets in,” Lane says. “If attackers leave with information they cannot read or use, the outcome changes dramatically.”

That philosophy has shaped Visio Cyber AI, a cybersecurity strategy and technology company that advises organizations on AI-driven cyber resilience. According to Lane, one of the company’s innovations, Phantomblox, reflects this evolving mindset. “Rather than relying solely on perimeter defenses, the technology uses AI to transform stored information into a format that remains unreadable if an attacker gains access,” she explains. “Authorized users can retrieve the original data only after secure authentication, making the stolen information effectively unusable to unauthorized actors.”

Lane sees this as part of a broader evolution taking place across cybersecurity. AI is reshaping both sides of the threat landscape, allowing defenders to automate detection and response while simultaneously enabling attackers to accelerate reconnaissance, phishing campaigns and intrusion attempts. A report by Microsoft highlights that AI is increasing the speed and scale of cyber operations for both defenders and adversaries, reinforcing the need for organizations to rethink how resilience is built.

The implications extend far beyond technology teams. “Customer databases, healthcare records, financial transactions, government information and proprietary research all represent assets whose value depends on confidentiality,” Lane says. She believes executives should view cyber resilience as a business strategy rather than solely an IT responsibility because the consequences of compromised data increasingly affect operations, reputation, regulatory obligations and long-term growth.

“For years, we’ve measured cybersecurity by whether attackers get inside,” Lane says. “The next generation of cyber resilience will be measured by something far more important. If a breach happens tomorrow, is the stolen data still valuable to the attacker? If the answer is no, we’ve fundamentally changed the economics of cybercrime.”

As AI continues to reshape the cyber landscape, Lane believes that question will become one of the defining leadership challenges of the decade. Organizations that continue relying exclusively on prevention may find themselves struggling to keep pace with increasingly automated attacks. Those that also design systems where compromised information has little or no value could redefine what effective cyber resilience looks like in the AI era.