Creating a Trust Surplus in a Cybersecurity Economy Built on Failure

"Trust is one of the most expensive things in the world, and one of the scarcest things we have right now."

— Kyla Scanlon

I recently came across this quote from economist Kyla Scanlon, and it stuck with me. While she was speaking about broader economic dynamics, it perfectly captures the reality of today's cybersecurity landscape — and the mission behind Cy4Data Labs.

So what does trust mean in cybersecurity? And why is it so scarce?

The uncomfortable truth is this: despite massive investment in security, breaches continue to rise. In fact, the industry operates in a paradox where increased spending often coincides with increased failure. We are, in many ways, operating within an economy built on failure.

An Economy of Failure

According to IBM's latest report, the global average cost of a data breach reached $4.4 million in 2025. In the United States, that number climbed to a staggering $10.22 million. Lost business and breach containment costs continue to rise year over year.

At the same time, breaches themselves have become routine. Major organizations are compromised repeatedly. Entire industries, like cyber insurance, have had to rapidly evolve as attackers learned how to exploit the system itself. Ransomware actors began targeting insured companies specifically, knowing payouts were likely. Premiums skyrocketed. Coverage tightened. And for many enterprises, breach costs simply became another line item — absorbed, budgeted, and written off.

Even reputational damage, once considered catastrophic, has become inconsistent. Companies like Okta saw billions erased after a breach, while others like CrowdStrike experienced sharp declines followed by rapid recovery and record highs.

Meanwhile, cybersecurity spending has exploded. Gartner estimates the market has grown from $75 billion in 2015 to over $213 billion in 2025.

Which raises a critical question:

If we are spending more than ever to prevent attacks, why are the attacks getting worse?

Part of the answer lies in how the industry responds to vulnerabilities. As new exploits, known as CVEs, are disclosed, patches take time to propagate. In that window, attackers move fast, weaponizing known vulnerabilities before organizations can respond. Ironically, the transparency required to secure systems also accelerates their exploitation.

Viewed through this lens, cybersecurity has become an economy of failure — one where growth is driven not by success, but by the persistence of the problem itself. And in such an environment, trust becomes both expensive and rare.

"It's Secure, Until It Isn't"

When we founded Cy4Data Labs, we set out to understand why data remains persistently vulnerable.

What we found was surprisingly simple: nearly every breach ultimately leads back to the same place — data inside databases. This is where sensitive information lives, including personal data, health records, and intellectual property.

Encryption standards like AES and TLS/SSL have been highly effective at protecting data at rest and in transit. Those layers largely work.

The real gap exists elsewhere.

There has never been a truly effective standard for protecting data in use.

For applications to function, encrypted data must be decrypted. And in that moment — when data is in use — it becomes exposed. If an attacker gains access through compromised credentials, application exploits, or insider misuse, they can access that data in cleartext.

According to IBM, it takes an average of 276 days to detect and contain a breach. That's nearly nine months of potential exposure.

At the same time, threats are evolving. "Harvest now, decrypt later" strategies allow attackers to steal encrypted data today with the intention of decrypting it in the future. AI is accelerating the discovery and exploitation of vulnerabilities.

This is why the industry has long accepted a troubling reality:

"It's secure, until it isn't."

Establishing a Trust-Based Data Economy

At Cy4Data Labs, we approached the problem differently.

Instead of assuming data could be protected at the system level, we assumed it was always exposed — and designed protection at the data level itself.

The result is Cy4Secure.

Cy4Secure encrypts data at its most granular level — the individual field or word — and keeps it protected even while in use. It works across environments, including on-prem, cloud, SaaS, and across any application or database.

Each piece of data is encrypted with its own unique key, generated dynamically with no impact on performance. Data is only decrypted at the moment it is needed, for the specific user who is authorized to see it, and only on their device.

Critically, Cy4 never sees the data.

Even if data is accessed, exfiltrated, or stolen, it remains encrypted and unusable — appearing as meaningless text without the proper authorization.

This fundamentally changes the equation.

• Stolen data has no value
• Insider threats are neutralized
• Unauthorized access is detected and denied in real time
• Data remains protected, even outside your environment

In short, the incentive to steal data disappears.

From Scarcity to Surplus

Cybersecurity today is built around defending systems. But attackers are not after systems. They are after data.

As long as data becomes exposed at any point, the cycle of breach, response, and recovery will continue.

Cy4Secure breaks that cycle.

By protecting data itself — continuously and everywhere — we shift from an economy defined by failure to one defined by trust.

And in doing so, we don't just reduce the cost of trust.

We create a surplus of it — one key at a time.