Gigamon 2026 Survey: 98% of Breached Financial Firms Report Material Impact

Financial services organizations are accelerating AI adoption faster than any other sector, but AI-driven threats, encrypted traffic, and fragmented tools are creating new vulnerabilities that traditional security stacks cannot see.

According to the newly released Gigamon 2026 Hybrid Cloud Security Survey, 98 percent of breached financial services organizations reported material business impact, including financial losses, higher cyber insurance premiums, data loss, and regulatory consequences. As AI becomes embedded in security workflows, the industry faces a widening gap between investment in tools and true visibility into data in motion across hybrid cloud environments.

What was announced

Gigamon, a leader in deep observability, released new findings from the fourth annual Hybrid Cloud Security Survey, based on responses from 139 Security and IT leaders in financial services and more than 1,000 global respondents across Australia, France, Germany, Singapore, the United Kingdom, and the United States.

The report, Financial Services Industry Insights: The Visibility Imperative in the Age of AI, highlights how banks, insurers, and asset managers are adopting AI-driven automation while simultaneously facing an escalating threat landscape.

Key findings

• 77 percent experienced a breach involving AI
• 54 percent report an increase in AI-powered social engineering attacks such as phishing and smishing
• 47 percent report more attacks targeting AI and LLM deployments
• 66 percent have enabled AI to initiate security actions without human interaction (vs. 53 percent cross-industry)
• 88 percent cite harvest now, decrypt later attacks as a major concern
• 93 percent say visibility into encrypted traffic is critical to post-quantum readiness

AI is forcing financial institutions to accelerate innovation and risk management at the same time. The opportunity is significant, but so is the complexity. Financial institutions need visibility into how data, applications, and AI systems interact across hybrid cloud environments so they can identify exposure early and respond with confidence.

Why this matters

For CIOs, CISOs, and IT procurement leaders in financial services, the data reveals a paradox: 94 percent of organizations invested in new security technologies, yet 42 percent report it now takes longer to detect breaches. More than half (52 percent) cite fragmented security tools as their biggest challenge in securing hybrid cloud infrastructure.

At the same time, 95 percent agree that security depends on complete visibility across all data in motion. The message is clear: adding more tools does not improve security outcomes without a unified observability layer.

Financial services organizations are investing heavily in cybersecurity, but investment alone does not create control. Visibility has become foundational to modern cybersecurity. Without a complete understanding of how data moves across hybrid cloud environments, financial services organizations cannot validate security outcomes, demonstrate compliance, or confidently manage risk.

Technical details

• Deep observability: combines network-derived telemetry (packets, flows, application metadata) with MELT data (metrics, events, logs, traces)
• Encrypted traffic visibility: 36 percent identify encrypted traffic as their greatest breach vulnerability
• Cloud risk posture: 58 percent identify public cloud environments as the greatest source of breach risk
• Data lakes: 62 percent view data lakes as the most secure environment for critical data; 94 percent say network-derived telemetry is critical to securing them
• AI security foundation: 94 percent report deep observability is foundational to securing AI deployments
• Post-quantum readiness: visibility into encrypted traffic prioritized as a prerequisite for cryptographic migration

Softprom and Gigamon

Softprom is the official distributor of Gigamon. Our team helps financial services organizations, telecom operators, and enterprise customers deploy the Gigamon Deep Observability Pipeline to gain trusted, network-derived telemetry across hybrid cloud environments.

This content was prepared as part of the Softprom DistriFlow project — an automated system for monitoring and adapting vendor news. Original source: original article.