AI now drives 84% of breaches in Singapore

AI has been involved in 84 percent of reported security breaches in Singapore over the past 12 months, enabling attackers to operate with greater speed and scale than many organizations can defend against.

This is from a Gigamon report, which is based on an online survey of 1,023 global respondents by Vitreous World on February 16-17, 2026.

Respondents were a mix of CIOs, CISOs, CTOs and CROs from France, Germany, Singapore, the United Kingdom and the United States. There were 160 respondents from Singapore.

Despite expanded investments in tools and governance policies, 65% of organizations globally have experienced a breach in the past year, reflecting an increase of 40% over the past three years.

Gigamon said the findings highlight a growing imbalance as adversaries leverage AI to accelerate cyber attacks, while defenders are constrained by fragmented visibility into what’s happening across their networks.

“AI is embedded in nearly every stage of the attack chain, enabling adversaries to outpace detection and response,” said Shane Buckley, president and CEO at Gigamon.

“While 91% of Singaporean organizations are investing in new security tools, many still lack visibility into how data moves across their environments, creating confidence without control,” said Buckley. “Closing this gap requires deep observability, giving security teams the clarity needed to detect threats earlier and respond with precision.”

Findings show that confidence is outpacing capability. Nearly two-thirds (63%) of Singaporean organizations believe their ability to secure new AI technologies is “defined” or “integrated,” yet 60% experienced a breach in the past year, and one-third experienced multiple breaches

Also, AI is transforming both sides of the equation. AI is now embedded across security operations in Singapore, with 93% reporting it autonomously initiates security functions without human interaction, most commonly in alert triage and prioritization (51%).

At the same time, AI security incidents span multiple risk categories, including external AI attacks (41% globally), internal leaks (30% globally), unsanctioned use of AI (30% globally), and direct attacks on LLM systems (33% globally).

Further, trust in cloud AI deployments is continuing to erode. As risk increases, data strategies are shifting.

Most leaders globally (72%) now believe data lakes are more secure for AI workloads, compared with 70% that say they’re reluctant to deploy AI in public cloud environments, up from 54% the previous year.

In addition, quantum computing risk is accelerating the timeline. Looking ahead, 92% of Singaporean leaders, the highest across the regions, fear “harvest now, decrypt later” attacks, putting today’s encrypted data at future risk and underscoring the longer-term implications of current visibility gaps

Visibility emerged as the top security priority in defending against AI threats in this year’s study, yet it is also where defenders are falling behind. As attackers leverage AI to move faster and operate at scale, organizations still lack a complete view of data in motion across encrypted and East-West traffic, AI workloads, and cloud environments.

Among those that experienced a breach, only 30 percent say they had the tools needed to respond effectively, highlighting a critical gap between investment and outcome.

To close this gap, organizations are turning to deep observability. By using network-derived telemetry, including metadata, packets, and flows, and feeding it into security, observability, and cloud tools, organizations can gain complete visibility into all data in motion.

Nearly all (97%) of Singaporean leaders agreed, reporting that access to packet-level data and rich application metadata is essential to detecting and understanding modern threats, going beyond the visibility that traditional MELT data provides today.

This shift is also reaching the boardroom, with 94% of Singaporean leaders reporting that their boards now support deep observability initiatives, signaling an ongoing commitment to modern approaches that can defend against today’s AI-driven threats.

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