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Dynatrace Introduces Davis Security Advisor

Dynatrace announced its new Davis Security Advisor, an AI-powered enhancement to the Dynatrace Application Security Module that automatically surfaces, prioritizes, and details the software libraries and open-source packages representing the greatest risk to an organization.

This empowers DevSecOps teams to make more informed, real-time decisions and address the most critical vulnerabilities first, which allows them to reduce the risk facing their organization with greater confidence and efficiency, leaving more time to drive innovation.

Optimized for cloud-native environments and powered by the Dynatrace AI engine, Davis, Davis Security Advisor automatically monitors all software libraries used in preproduction and production and removes false positives.

In addition, Davis Security Advisor aggregates vulnerability data in real-time and prioritizes remediation based on multiple dimensions of risk, including:

- Number of vulnerabilities caused by each software library.

- Vulnerability severity, which is based on the common vulnerability scoring system (CVSS) rating of each vulnerability and whether the relevant code is used at runtime.

- Threat context, which reflects whether there is a known public exploit for each vulnerability.

- Asset exposure, which indicates whether the vulnerable code is communicating with the internet.

- Potential business impact, which is determined by whether the processes that include the vulnerable library are connected to sensitive data.

“Cloud-native architectures fuel digital transformation, but traditional application security tools simply cannot keep up with the rapid pace of change in these environments and fail to surface key insights like whether vulnerable code is used at runtime,” said Steve Tack, SVP of Product Management at Dynatrace. “Manual processes and piecemeal solutions that don’t aggregate data from across these environments force teams to waste time chasing false positives and leave organizations vulnerable to risk. By automatically surfacing the most critical vulnerabilities and providing code-level detail and prioritization based on business impact, Dynatrace enables DevSecOps teams to work smarter, not harder, as they reduce their organizations’ risk exposure.”

Davis Security Advisor will be available within the next 30 days.

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Dynatrace Introduces Davis Security Advisor

Dynatrace announced its new Davis Security Advisor, an AI-powered enhancement to the Dynatrace Application Security Module that automatically surfaces, prioritizes, and details the software libraries and open-source packages representing the greatest risk to an organization.

This empowers DevSecOps teams to make more informed, real-time decisions and address the most critical vulnerabilities first, which allows them to reduce the risk facing their organization with greater confidence and efficiency, leaving more time to drive innovation.

Optimized for cloud-native environments and powered by the Dynatrace AI engine, Davis, Davis Security Advisor automatically monitors all software libraries used in preproduction and production and removes false positives.

In addition, Davis Security Advisor aggregates vulnerability data in real-time and prioritizes remediation based on multiple dimensions of risk, including:

- Number of vulnerabilities caused by each software library.

- Vulnerability severity, which is based on the common vulnerability scoring system (CVSS) rating of each vulnerability and whether the relevant code is used at runtime.

- Threat context, which reflects whether there is a known public exploit for each vulnerability.

- Asset exposure, which indicates whether the vulnerable code is communicating with the internet.

- Potential business impact, which is determined by whether the processes that include the vulnerable library are connected to sensitive data.

“Cloud-native architectures fuel digital transformation, but traditional application security tools simply cannot keep up with the rapid pace of change in these environments and fail to surface key insights like whether vulnerable code is used at runtime,” said Steve Tack, SVP of Product Management at Dynatrace. “Manual processes and piecemeal solutions that don’t aggregate data from across these environments force teams to waste time chasing false positives and leave organizations vulnerable to risk. By automatically surfacing the most critical vulnerabilities and providing code-level detail and prioritization based on business impact, Dynatrace enables DevSecOps teams to work smarter, not harder, as they reduce their organizations’ risk exposure.”

Davis Security Advisor will be available within the next 30 days.

The Latest

I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

Cloud migration was supposed to be a one-way door. For most enterprises, it turns out it isn't. Cloud data repatriation is a real and growing trend. A new survey ... finds that 89% of organizations plan to expand their on-premises infrastructure footprint over the next two years — and 75% have already moved at least some workloads back from public cloud in the past 24 months. The findings point to a broad rethinking of where data belongs ...

Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...

New Relic surveyed IT and engineering leaders from the media and entertainment (M&E) sector to understand what's working — and where challenges persist with their observability practices. The findings reveal how M&E organizations are navigating rising platform complexity, audience expectations, and AI-driven change. Below are five takeaways that stand out ...

Let me start with something I've seen play out more times than I can count. A team hits a wall with the cloud. Costs creep up, then spike. Performance starts to feel inconsistent. Someone in finance asks a simple question like "why did this double?" and nobody has a clean answer ... Maybe this isn't the right place for everything. That realization feels like a breakthrough, like you've identified the problem. In reality, you've just identified the starting line ...

In MEAN TIME TO INSIGHT Episode 24, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses network observability tool sprawl ... 

In cloud-native systems, scaling is often as simple as moving a slider. For on-premise databases, the stakes are different. Over-provisioning hardware is expensive. Under-provisioning leads to performance bottlenecks that are difficult to fix once the equipment is in the rack ...