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Dynatrace announces industry ’ s first observability-driven Kubernetes Security Posture Management Solution
Dynatrace , a leader in unified observability and security , has announced the enhancement of its platform with new Kubernetes Security Posture Management ( KSPM ) capabilities for observability-driven protection , configuration and compliance monitoring .
The announcement comes after the rapid integration of Runecast technology into the Dynatrace platform following the company ’ s successful acquisition earlier this year .
The new Kubernetes Security Posture Management offering builds on Dynatrace ’ s existing security hardening capabilities , including Runtime Vulnerability Analytics ( RVA ) and Runtime Application Protection ( RAP ), strengthening the security of cloud-native applications on the Dynatrace platform .
These combined capabilities provide DevSecOps , security , platform engineering and Site Reliability Engineering ( SRE ) teams , who are responsible for ensuring the protection of Kubernetes environments , with an innovative solution for security posture and compliance .
“ As workloads become more dynamic , integrating KSPM into the deployment lifecycle is essential for securing Kubernetes environments and adhering to best practices and standards ,” said KellyAnn Fitzpatrick , Senior Analyst at RedMonk .
“ Through a combination of real-time vulnerability assessments and contextual protection insights , Dynatrace ’ s new KSPM solution aims to empower teams to proactively address risks and gain complete visibility into their security posture , compliance status and attack vectors . Such solutions can enable teams to accelerate their Digital Transformation with confidence , knowing that their cloud-native environment is protected .”
Dynatrace ’ s new KSPM solution , combined with the platform ’ s existing Runtime Vulnerability Scanning and Runtime Application Protection capabilities , enables teams to instantly detect risks in their Kubernetes deployments and automatically prioritize remediation based on risk exposure .
To achieve this at scale , Dynatrace utilizes Davis Hypermodal Artificial Intelligence , which combines predictive and causal AI techniques for accurate responses and automation , as well as Generative AI to increase productivity .
As a result , teams can gain comprehensive insights into cloudnative applications , including code , libraries , language runtime and container infrastructure . This helps them strengthen the security posture in their Kubernetes deployments while adhering to regulatory frameworks and industry best practices , including those defined by the Center for Internet Security ( CIS ).
“ While most teams rely on agentless workload scanning to enable Kubernetes Security Posture Management , this instantaneous approach is unable to provide real-time insights and often causes a frequency of excessive alerts , lacking runtime context , that waste time and make remediation efforts more confusing ,” said
Bernd Greifeneder , Chief Technology Officer at Dynatrace .
“ As the attack surface of cloud applications continues to increase and attackers target the misconfiguration of cloud infrastructure , APIs ( communication mechanisms between software components ) and the software supply chain itself , companies must evolve their solutions and processes to ensure that their cloud technologies , including Kubernetes , are constantly protected against the latest risks and empower teams to operate with best practices .
“ Building on the existing Runtime Vulnerability Scanning and Runtime Application Protection capabilities of its platform , Dynatrace is delivering an innovative approach to Kubernetes Security Posture Management that we believe sets us apart from the market by providing teams with real-time insights , automated compliance , and actionable advice that frees up resources and reduces the risk of exposure .”
Dynatrace ’ s Kubernetes Security Posture management is expected to be available in the second half of 2024 . •
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