Lack of visibility creates "cascade" of security risk, says Kiteworks

Organizations that don't keep track of data breaches, shadow AI, and third-party counts face dramatically worse outcomes across every metric

Red code with a security alert
(Image credit: Getty Images)

Organizations are flying blind when it comes to tracking data breaches, AI use, and their third-party counts.

According to a survey of 461 organizations across North America, Europe, APAC, and the Middle East by Kiteworks, 46% of companies that don't know their third-party count also don't know their breach frequency.

Meanwhile, 48% of those that are uncertain about breaches can't quantify litigation costs, 36% of those unaware of AI usage are implementing zero privacy technologies, and 42% of those uncertain about hacks report uncertainty in detection times. All of this, the firm said, creates a dangerous cascade effect.

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"Our survey reveals a fundamental truth about modern data security: What you don't know doesn't just hurt you – it multiplies exponentially," said Tim Freestone, CMO of Kiteworks.

"Organizations operating blind face dramatically worse outcomes across every metric we measured. The cascade effect is undeniable: unknown third-party relationships lead to missed breaches, which prevent compliance demonstration, which results in massive costs."

When it comes to third parties, having between 1,001 and 5,000 appears to be the danger zone. Of these firms, 24% face at least seven breaches a year – the worst of any segment. Meanwhile, 46% report the highest supply chain risk, and 42% said they take between 31 and 90 days to detect breaches.

And this is costing companies dear, with organizations with faster detection showing significantly lower litigation costs. More than three-quarters of those experiencing more than 10 hacks facing litigation costs of at least $3 million.

The AI governance vacuum

Kiteworks also describes an AI governance 'vacuum', with only 17% having fully implemented technical AI governance frameworks, and 36% of those with unknown AI usage implementing no privacy-enhancing technologies (PETs) at all.

The highest risks were found in the energy and utilities sector, followed by technology and life sciences, and pharma. And lack of visibility was an issue worldwide.

"What's striking about our data is how different regions fail in different ways, yet all face the same fundamental challenge: visibility determines destiny," said Patrick Spencer, Kiteworks VP of corporate marketing and research.

"Whether it's Middle East organisations with zero 24-hour detection, European companies with as little as 12% EU Data Act readiness, or APAC's 35% who can't assess AI risks – the root cause is always the same: Organisations can't protect what they can't see."

The researchers urge organizations to track exact third-party counts and AI data flows – those that do so, they said, achieve 43% breach-free rates, compared with constant incidents for those operating blind.

They should deploy enterprise-grade controls before reaching 1,001 third-party relationships, track AI usage, and introduce privacy programs.

"The data delivers an unmistakable verdict: 2025 is an inflection point where organisations must abandon incremental improvements for transformative change," said Freestone.

"The tools exist, the strategies are proven, and our data shows exactly what works. The only question is whether organisations will act with the urgency this moment demands."

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Emma Woollacott

Emma Woollacott is a freelance journalist writing for publications including the BBC, Private Eye, Forbes, Raconteur and specialist technology titles.