Application Security
Empower DevSecOps at scale with a unique approach to securing cloud-native applications at runtime combined with intelligent automation.
Seamlessly integrate DevSecOps for better business outcomes
- Obtain real-time, full stack application security insights to release better, more secure software faster
- Automate application security into CI/CD toolchains to mitigate risk and lower exposure time and business impact
- Promote security awareness and ownership for more efficient collaboration and improved effectiveness
A new approach to cloud application security powered by AI and automation
Reduce the cost of investigating logs related to a current or suspected security incident, like an application attack. Quickly and confidently verify what happened, leverage observability context to analyze, and take proactive action to strengthen defenses
Deploy confidently with continuous automatic coverage for dynamic containerized cloud-native stacks
Plug into existing tools and processes to intelligently automate the creation, assignment, and resolution of vulnerability tickets. Automatically validate if critical application vulnerabilities are fixed before releasing to production.
Prevent, identify and resolve exposures faster with precise risk and impact assessment
Proactively detect vulnerabilities across all layers of your application stack in real time. Confidently implement countermeasures and remediate with automated analysis of runtime context and security intelligence.
FREE EBOOK
Six DevSecOps best practices for data-driven automation
As organizations adopt cloud-native technologies, DevSecOps best practices become a top priority for teams looking to increase DevSecOps automation.
But while cloud-native technologies provide organizations with greater capability, flexibility, and scale, they also make application environments more complex. This complexity makes it harder to ensure that applications are secure.
In most organizations, development and security teams operate separately. Integrating development, operations, and security practices is a crucial first step toward improving DevSecOps automation and security response. However, teams still struggle with cross-team collaboration and keeping up with fast-evolving security vulnerabilities and attacks.
This eBook presents six essential DevSecOps best practices that provide a blueprint to help teams optimize DevSecOps automation, efficiency, and application security.
Quickly investigate application security incidents
Unify, store, and contextually analyze massive volumes of application security data with speed and cost-efficiency using a causational data lakehouse.
Audit and forensics
Unlock value from all your application security data by automatically connecting and analyzing logs together with all other observability data. Immediately investigate logs relevant to an application security incident to audit what happened, identify attack paths, and determine counter measures.
Start your 15-day free Dynatrace trial today!
Want to see what intelligent observability powered by AI and automation can do for you? Get a free trial of the Dynatrace platform now.
Powerful core technologies
Get precise answers and automation through hypermodal AI, with automatic discovery and topology mapping across billions of dependencies.
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Davis AI
Our hypermodal AI uniquely combines predictive AI, causal AI, and generative AI. Davis® AI uses high-fidelity topology, metrics, traces, logs, and user data to deliver precise answers, intelligent automation, and AI recommendations.
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AutomationEngine
Our answer-driven automation technology leverages causal AI to intelligently power BizDevSecOps workflows throughout multicloud ecosystems.
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AppEngine
Our secure, serverless, auto-scaling runtime environment makes it easy to create custom, compliant, data-driven apps that address the use cases most important to you.
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Grail
Our massively parallel processing (MPP) data lakehouse is purpose-built to ingest, store, and run lightning-fast analytics on observability, security, and business data with high performance and at scale.
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Smartscape
Our dynamic topology mapping technology automatically identifies and maps interactions and relationships between applications and the underlying infrastructure. As new microservices come up or go away, the Smartscape topology map continuously updates in real-time.
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OpenPipeline
Our high-performance stream processing is designed to ingest, process, enrich, contextualize, and persist data from any source, in any format, at any scale.
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OneAgent
Our single agent technology deploys only once on a host and instantly starts collecting all relevant metrics along the full application-delivery chain. Install it and forget it—we take care of everything.
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PurePath
Our patented distributed tracing and code-level analysis technology automatically integrates high-fidelity distributed tracing with user experience data and data from open-source technologies including OpenTelemetry and code-level analytics.
As part of our digital transformation journey, Auto Club Group adopted a multi-cloud strategy, along with agile and SecDevOps approaches to delivering modern applications. However, these practices can introduce gaps in security and observability on exploitable vulnerabilities in the run-time stack, like the recent critical Log4J Shell vulnerability. Turning on the Dynatrace Application Security Module™, we were able to quickly identify vulnerabilities while having the capability to continuously monitor the security environment in our critical business applications.Gopal Padinjaruveetil CISO, Auto Club Group