The 2024 data security landscape: How AI is reshaping protection strategies

In today’s rapidly evolving digital environment, data security has become a cornerstone for organisational success. Microsoft’s 2024 Data Security Index report sheds light on emerging trends, challenges, and strategies to safeguard sensitive information while navigating the rise of generative AI.

Artificial intelligence (AI) is proving to be a double-edged sword for organisations. While it accelerates foundational data security practices and mitigates risks such as data oversharing and leaks, AI also enhances protection by identifying hidden vulnerabilities, recommending security policies, and expediting incident investigations.

The challenge lies in securing the data used in AI applications while leveraging AI itself to enhance security measures. When effectively integrated, AI not only boosts productivity but also strengthens resilience and agility in an era of increasing complexity.

1. A fractured data security landscape

Organisations face an average of 156 data security incidents annually, with a significant rise in incidents linked to AI applications – up from 27% in 2023 to 40% in 2024. This fragmentation has exposed several gaps:

• Overwhelming alerts: Data security teams face an average of 66 alerts daily, but only review 63% of them, leaving room for critical issues to be overlooked. Additionally, 35% of these alerts are false positives, further burdening teams.
• Tool overload: The average organisation juggles 12 different data security solutions. This lack of cohesion leaves decision-makers (21%) struggling with fragmented visibility and understanding of risks. An overwhelming majority (82%) believe that an integrated platform is superior to disparate tools.
• Increased threats: Malware and ransomware attacks surged to 59% in 2024, highlighting the growing urgency for robust, cohesive strategies to combat both traditional and AI-related risks.

2. AI usage and data integrity risks

The rapid adoption of AI tools by employees has introduced new vulnerabilities:

• Employee use of unauthorised AI: 65% of organisations report employees using unauthorised AI tools, often compromising security by:
  • Logging in with personal credentials (53%)
  • Using personal devices for work-related AI tasks (48%)
  • Using work credentials for personal AI activities (47%)
• Rising incidents: 31% of organisations anticipate a surge in data security incidents due to employee AI use, with 40% already experiencing breaches in AI apps.
• Need for training and controls: While 96% of companies express concerns about AI usage risks, 87% are willing to invest in employee training, recognising that secure AI practices are critical for competitiveness.

3. AI’s role in strengthening security

Despite challenges, decision-makers are optimistic about AI’s potential to revolutionise data security. Key benefits include:

• Enhanced visibility: AI improves visibility across systems, addressing a top concern for 20% of decision-makers.
• Streamlined alert management: Organisations using AI receive fewer daily alerts (47 vs. 79 for non-AI users) and review a higher percentage (66% vs. 60%).
• Improved Detection and Response: AI helps teams identify sensitive data, detect anomalies, and automate protection, enabling faster, more accurate responses.

To maintain a strong data security posture, organisations must adopt comprehensive measures tailored to the evolving AI landscape:

1. Adopt an integrated platform

Consolidating data security tools into a unified platform offers:

• Streamlined strategies to reduce complexity and increase visibility
• Centralised controls to strengthen detection and protection

With 82% of organisations endorsing this approach, integration is no longer optional but essential.

2. Enhance AI app visibility and controls

Effective measures include:

• Monitoring data flow within AI applications to identify risks
• Developing and enforcing clear policies around AI usage
• Regularly assessing and refining security policies to address emerging threats

3. Leverage AI for strategic security initiatives

Deploying AI as part of a holistic security strategy allows teams to:

• Automate data classification and incident prioritisation
• Reduce false positives and focus on strategic improvements
• Enhance visibility, boosting confidence in risk detection and response capabilities

To navigate the complexities of 2024 and beyond, data security leaders should:

• Integrate platforms: Consolidate tools for unified visibility and streamlined protection
• Invest in training: Equip employees with the knowledge to use AI securely and responsibly
• Embrace AI: Use AI to transform security workflows, enhance detection, and strengthen overall resilience

By adopting these strategies, organisations can confidently harness the power of AI to mitigate risks, improve efficiency, and ensure the integrity of their data security framework. As the landscape evolves, tools and expertise from providers like Symity will play a pivotal role in helping organisations stay ahead of the curve.

Download Microsoft’s full Data Security Index report.

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