Navigating the new data security landscape: challenges and insights

Proofpoint, Inc., a leading force in cybersecurity and compliance, has released its latest Data Security Landscape report. The findings underscore the continuous battle organisations face in safeguarding sensitive information, particularly in the context of rapid AI and data expansion.

Based on insights from 1,000 security professionals across 10 countries, the report highlights the compounded risks posed by AI-driven tools and autonomous agents handling sensitive data. Many enterprises are struggling to maintain visibility and control within this emerging "agentic workspace," where humans work alongside AI systems. Concurrently, the growing volume of data is increasing the demands placed on security teams.

"We’ve entered a new era of data security," said Ryan Kalember, chief strategy officer at Proofpoint. "Fragmented tools and limited visibility leave organisations exposed. The future of data protection depends on unified, AI-powered solutions."

Key UK Findings:

• Human Factor in Data Loss: Approximately 66% of organisations pinpoint careless employees or contractors as the main culprits of data loss incidents. Other significant factors include compromised users (31%) and malicious insiders (33%).
• Disproportionate Impact: Proofpoint highlights that a mere 1% of users are responsible for 76% of data loss incidents, reinforcing the need for behaviour-aware security strategies. The frequency of these incidents is alarming, with organisations facing an average of 12 annually.
• Data Growth Challenges: A considerable portion of organisations reported a data increase of 30% or more over the last year. Large enterprises with over 10,000 employees manage vast datasets, exceeding a petabyte.
• The Rise of AI Agents: With the advent of AI in enterprise workflows, new risks have emerged. A significant portion of organisations regards data loss from GenAI tools and unsupervised AI agents as critical concerns.
• Fragmented Security Architectures: Organisations relying on multiple security vendors face challenges in visibility and response. It often takes weeks to resolve a single data loss incident, showcasing the complexities faced by stretched security teams.

There is a growing demand for more integrated, AI-driven data security solutions. Many security leaders are shifting towards holistic approaches to reduce risk and streamline operations. A significant number of organisations have already adopted AI-enhanced data security capabilities to manage and classify data effectively, aiming for a safer digital environment where AI and humans coexist seamlessly.