Vast Amounts of Data and Shifting Threats are Reshaping Data Protection
Data security experts say Chief Information Security Officers (CISOs) can cope with the changing data protection landscape by understanding the nature of the shifting landscape, implementing foundational risk management strategies, and reaching for new tools that better protect data and quickly identify when adverse data events are underway. Although the advent of artificial intelligence (AI) increases data protection challenges, experts say AI can also help fill in some of the cracks in existing data protection programs.
The Challenges of Data Protection
One of the top challenges CISOs face in data protection is grappling with the sheer volume of data. “It is vast, and it is everywhere, both in terms of locations and what we try to answer for,” says Dan Benjamin, head of data, identity, and AI security at Palo Alto Networks, in an interview with CSO.
An enterprise will have data on-prem, SaaS, public cloud, endpoint, mobile devices, email, and multiple different types of locations. And traditionally, there are no single products to tackle all those locations.
Data Protection Strategies
Data security experts recommend that CISOs take a proactive approach to data protection by implementing foundational risk management strategies and leveraging new tools that better protect data and quickly identify when adverse data events are underway.
This includes understanding the nature of the shifting landscape, which is marked by vast amounts of data and shifting threats. It is no longer sufficient to rely on traditional security measures alone; CISOs must be proactive in their approach to data protection.
The Role of Artificial Intelligence in Data Protection
AI can play a significant role in data protection, helping to fill in some of the cracks in existing data protection programs. AI can help identify patterns and anomalies in data, allowing for more effective threat detection and response.
Conclusion
In conclusion, the challenge of data protection is a complex one, marked by vast amounts of data and shifting threats. CISOs must be proactive in their approach, implementing foundational risk management strategies and leveraging new tools that better protect data and quickly identify when adverse data events are underway. AI can play a significant role in this effort, helping to identify patterns and anomalies in data and allowing for more effective threat detection and response.
FAQs
Q: What are the top challenges CISOs face in data protection?
A: According to data security experts, one of the top challenges CISOs face in data protection is grappling with the sheer volume of data, with data spread across multiple locations, including on-prem, SaaS, public cloud, endpoint, mobile devices, and email.
Q: How can CISOs cope with the changing data protection landscape?
A: Data security experts recommend that CISOs take a proactive approach to data protection by implementing foundational risk management strategies and leveraging new tools that better protect data and quickly identify when adverse data events are underway.
Q: What role can AI play in data protection?
A: AI can play a significant role in data protection, helping to identify patterns and anomalies in data, allowing for more effective threat detection and response.
Q: What is the key to effective data protection?
A: The key to effective data protection is a proactive approach, combining foundational risk management strategies with new tools that better protect data and quickly identify when adverse data events are underway.
