AI-Driven Threats and the Strain on Security Teams
The growing influence of artificial intelligence (AI) is placing unprecedented strain on security teams worldwide. A recent survey conducted by Gigamon reveals that the economic cost of cybercrime is estimated to be $3 trillion globally, with AI-generated attacks emerging as a key driver of this growth. As AI enables adversaries to become more agile, organisations are faced with ineffective and inefficient tools, fragmented cloud environments, and limited intelligence. Key Findings:
Managing AI-Generated Threats and Network Complexity
* 46% of Security and IT leaders say managing AI-generated threats is now their top security priority. * 1 in 3 organisations report that network data volumes have more than doubled in the past two years due to AI workloads. * 56% of respondents in Australia are seeing a rise in attacks targeting their organisation’s large language model (LLM) deployments. * 58% of respondents say they’ve seen a surge in AI-powered ransomware.
Compromises in Foundational Areas of Hybrid Cloud Security
* 94% of Security and IT leaders concede that they need to make compromises in securing and managing their hybrid cloud infrastructure. * 46% of respondents say they need clean, high-quality data to support secure AI workload deployment. * 47% of respondents say they lack comprehensive insight and visibility across their environments, including lateral movement in East-West traffic.
Public Cloud Risks and Industry Recalibration
* 70% of Security and IT leaders now view the public cloud as a greater risk than any other environment. * 70% report their organisation is actively considering repatriating data from public to private cloud due to security concerns. * 54% of respondents are reluctant to use AI in public cloud environments, citing fears around intellectual property protection.
Visibility: The Top Priority for Security Leaders
* 55% of respondents lack confidence in their current tools’ ability to detect breaches. * 64% say their number one focus for the next 12 months is achieving real-time threat monitoring and delivered through having complete visibility into all data in motion.
Deep Observability: The New Standard
* 89% of Security and IT leaders cite deep observability as fundamental to securing and managing hybrid cloud infrastructure. * 83% of Australian respondents confirm that deep observability is now being discussed at the board level to better protect hybrid cloud environments.
Quote from David Land, Vice President, APAC at Gigamon
“Security teams are struggling to keep pace with the speed of AI adoption and the growing complexity of and vulnerability of public cloud environments. Deep observability addresses this challenge by combining MELT data with network-derived telemetry such as packets, flows, and metadata, delivering increased visibility and a more informed view of risk. It enables teams to close visibility gaps, regain control, and act proactively with increased confidence. With 87% of Security and IT leaders in Australia agreeing it is critical to securing AI deployments, deep observability is fast becoming a strategic imperative.”
The Benefits of Deep Observability
Deep observability is becoming the new standard for securing hybrid cloud infrastructure. With AI driving unprecedented traffic volumes, risk, and complexity, organisations need a solution that can provide complete visibility into all data in motion. Deep observability addresses this challenge by combining MELT data with network-derived telemetry, delivering increased visibility and a more informed view of risk. This enables teams to close visibility gaps, regain control, and act proactively with increased confidence.
Executive Leadership Prioritises Deep Observability
Executive leadership is taking notice of the importance of deep observability, with 83% of Australian respondents confirming that it is now being discussed at the board level to better protect hybrid cloud environments. Boards are increasingly prioritising complete visibility into all data in motion, with deep observability being seen as a critical component of this strategy.
Conclusion
The 2025 Hybrid Cloud Security Survey highlights the growing importance of deep observability in securing and managing hybrid cloud infrastructure. As AI-driven threats continue to escalate, organisations need a solution that can provide complete visibility into all data in motion. With deep observability addressing this challenge, it is clear that this is the new standard for securing hybrid cloud infrastructure.
