Traditional security tools are too limited to handle complex cloud and AI threats, CISOs fear, as revealed by a new report from Dynatrace.
The report surveyed the perception of cybersecurity leaders on the threat landscape as new threats emerge and new frontiers are quickly conquered by threat actors.
With cloud adoption continuing to swallow up the entire tech ecosystem, data protection and threat defence is ever more important.
This is why it is so alarming that over three quarters (76%) of CISOs cite the limitations of security tools for real-time identification of risks in dynamic cloud-native architectures as a key challenge.
Similarly, 77% of CISOs also say that current tools such as XDR and SIEM are unable to manage cloud complexity, as they lack the intelligence needed to drive automation at scale, putting these systems at further risk.
Another key challenge cited by three out of four (75%) of CISOs is the prevalence of bling spots due to the limitations or restrictions upon agent-based security tooling as a key challenge.
The Double-Edged Sword of AI
The rise of AI is also worrying cyber leaders. The double-edged sword of AI innovation means that while companies can integrate AI into their security posture, threat actors are already employing the technology to enhance their attacks.
Over half of CISOs (52%) are concerned that that the use of AI by cyber-criminals will enable them to create new vulnerability exploits faster and execute them on a wider scale.
However, the use of AI within an organisation also poses a risk, according to CISOs.
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Further, 47% are worried about the risk of AI resulting in inappropriate data use, leading to noncompliance within their own organisation. The use of AI to process data can cause trouble for proper data governance as regulations continue to change and rollout, often leaving organisations confused.
Similarly, 45% fear that using AI to accelerate software development is a risk that could lead to less oversight and more security vulnerabilities.
The autonomous advantages of AI could therefore pose to be a security downfall if they AI is not implemented with care.
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