Identity Management and AI Adoption, Security Challenges in the Cloud Native Ecosystem

To protect themselves effectively, companies must integrate detection and response tools at all levels of the technology stack, including the cloud. This is the main source of its difficulties, because it involves filling the holes created by an inextricable overlap of technologies.

In the increasingly complex and ever-changing landscape of cybersecurity, the changing dynamics of threats and security practices in the cloud ecosystem represent one of the most critical challenges for enterprises. To successfully align the prerequisites for cybersecurity that is even remotely effective in detecting and responding to incidents, companies must tackle a complicated, multi-layered project.

Furthermore, the adoption of complementary tools and advanced practices is essential for building resilient infrastructures capable of supporting growth ambitions while protecting critical assets. Therefore, understanding and integrating these trends into strategic planning becomes imperative for decision-makers who want to successfully navigate today’s complex digital landscape.

Areas for evolving security posture

This is what the 2024 report on security and cloud native use, published by Sysdig, recommends. It provides an overview of not only the current state of cloud cybersecurity, but also serves as a guide for companies looking to strengthen their security posture in the face of threats. Vulnerability management, strengthening threat detection, security of development practices and the incorporation of artificial intelligence into security strategies constitute important axes of this evolution.

1 – Better vulnerability management

Critical and high vulnerabilities decreased by almost 50% due to better real-time threat prioritization. This indicates that technical teams actively address high-risk vulnerabilities quickly when given actionable remediation priorities. Organizations are making progress in reducing their vulnerability debt by demonstrating a proactive approach to managing security risks. However, real-time scan failures reach 91%, surpassing CI/CD pipeline scan failures, indicating the need for improved vulnerability management practices.

2 – Strengthen threat detection

Despite advances in real-time threat prioritization that lead to reduced vulnerabilities, there is still an urgent need for robust threat detection and response mechanisms in the cloud. The report reveals that 35% of cloud attacks are identifiable through indicator of compromise (IoC) matching, while 65% require more refined behavioral detection mechanisms. Nearly 90% of Sysdig customers regularly use information from detection and response tools to improve their threat intelligence and response capabilities.

The report therefore highlights the importance of rapid threat detection and response (TDR) in the cloud environment. Identity management continues to be a critical area for improvement, with excessive permissions granted to human and machine identities posing significant risks. The report highlights the need for organizations to improve their threat detection capabilities to effectively combat evolving security threats.

3 – The underestimated risks of identity management

With a 98% rate of unused permissions, identity management continues to be a challenge for organizations, with excessive permissions creating a risky scenario vulnerable to attack. Additionally, only 20% of cloud-native application protection platform (CNAPP) users prioritize cloud infrastructure permissions management (CIEM), indicating a lack of focus on identity management. The report highlights the impact of identity attacks and highlights the importance of effectively managing permissions to mitigate security risks, to reduce the likelihood of unauthorized access to sensitive data.

4 – Secure delivery and developer habits

The report emphasizes the importance of secure delivery practices and developer habits in maintaining a robust security posture. Organizations must prioritize security in their DevOps cycles and adopt the appropriate security tools to protect their cloud environments. By integrating security into the development process and promoting secure coding practices, organizations can improve their overall security posture and reduce the risk of vulnerabilities.

5 – AI in cybersecurity is growing

Although AI adoption is increasing in the cloud, organizations have not yet fully leveraged generative AI for security practices. Only 31% of cloud users have integrated multiple AI frameworks, and only 15% of those integrations involve generative AI. Organizations are encouraged to explore the potential of AI-based security solutions to improve threat detection capabilities.

The report highlights the potential of AI in improving security measures and highlights the need for organizations to explore AI-based security solutions to keep up with sophisticated threats. By adopting AI technologies, organizations can improve their threat detection capabilities and strengthen their overall security defenses.

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