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New Relic Vulnerability Management Launched

New Relic introduced New Relic Vulnerability Management to help organizations find and address security risks faster and with greater precision.

With this launch, every engineer in the software team, including security engineering teams, can use New Relic as the default platform to aggregate native and third party security signals in context of the entire software stack for a comprehensive approach to security and risk management. Engineering teams will be able to manage security risk at scale and accelerate secure software delivery and operation. The new vulnerability management capabilities will be available free-of-charge for every full platform user with the Data Plus SKU, delivering more value to every existing New Relic customer.

New Relic collects performance signals from multiple sources to provide complete visibility across the stack. New Relic Vulnerability Management extends its open ecosystem approach, allowing customers to easily aggregate native vulnerability detection and existing security data from the security solutions they already use. As a result, engineering teams like DevOps, SecOps, NetOps, and SRE will have total visibility of all of the vulnerabilities in their software stack in a matter of minutes, so they can collectively understand and close security gaps, and ultimately protect their customers’ data.

"Minimizing security risk across the entire software development life cycle is imperative—and we are seeing more pressure on DevOps to manage risk while making sure it doesn’t become a blocker to the pace of innovation,” said New Relic CEO Bill Staples. “New Relic Vulnerability Management delivers more value to engineers harnessing the power of observability with our platform approach, and accelerates our mission to help every engineer do their best work with data, not opinions.”

By mapping and correlating technical components, engineers can contextualize many security signals in one place to monitor, debug, and secure the entire software stack and reduce overall risk more effectively.

New Relic Vulnerability Management also helps engineering teams:

- Seamlessly integrate third party security tools with native vulnerability detection for unified security in context.

- Break down silos and create a deeper understanding of security across organizations with strongly opinionated KPIs.

- Prioritize security risk with entity correlation and topological analysis within the curated New Relic product experience.

- Identify actions to remediate risk, integrate directly into ticketing systems, and provide an audit trail of decisions and actions to integrate security workflows throughout the SDLC.

- Unite and address vulnerabilities during development as well as in pre-production and production environments.

New Relic Vulnerability Management is currently available in limited preview across all regions as part of the New Relic platform, with general availability coming later this year.

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New Relic Vulnerability Management Launched

New Relic introduced New Relic Vulnerability Management to help organizations find and address security risks faster and with greater precision.

With this launch, every engineer in the software team, including security engineering teams, can use New Relic as the default platform to aggregate native and third party security signals in context of the entire software stack for a comprehensive approach to security and risk management. Engineering teams will be able to manage security risk at scale and accelerate secure software delivery and operation. The new vulnerability management capabilities will be available free-of-charge for every full platform user with the Data Plus SKU, delivering more value to every existing New Relic customer.

New Relic collects performance signals from multiple sources to provide complete visibility across the stack. New Relic Vulnerability Management extends its open ecosystem approach, allowing customers to easily aggregate native vulnerability detection and existing security data from the security solutions they already use. As a result, engineering teams like DevOps, SecOps, NetOps, and SRE will have total visibility of all of the vulnerabilities in their software stack in a matter of minutes, so they can collectively understand and close security gaps, and ultimately protect their customers’ data.

"Minimizing security risk across the entire software development life cycle is imperative—and we are seeing more pressure on DevOps to manage risk while making sure it doesn’t become a blocker to the pace of innovation,” said New Relic CEO Bill Staples. “New Relic Vulnerability Management delivers more value to engineers harnessing the power of observability with our platform approach, and accelerates our mission to help every engineer do their best work with data, not opinions.”

By mapping and correlating technical components, engineers can contextualize many security signals in one place to monitor, debug, and secure the entire software stack and reduce overall risk more effectively.

New Relic Vulnerability Management also helps engineering teams:

- Seamlessly integrate third party security tools with native vulnerability detection for unified security in context.

- Break down silos and create a deeper understanding of security across organizations with strongly opinionated KPIs.

- Prioritize security risk with entity correlation and topological analysis within the curated New Relic product experience.

- Identify actions to remediate risk, integrate directly into ticketing systems, and provide an audit trail of decisions and actions to integrate security workflows throughout the SDLC.

- Unite and address vulnerabilities during development as well as in pre-production and production environments.

New Relic Vulnerability Management is currently available in limited preview across all regions as part of the New Relic platform, with general availability coming later this year.

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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 ...

When most people think about cybersecurity, they picture firewalls, encryption, and access controls — technical tools designed to protect systems and data. But beneath the technology lies a deeper set of principles about trust, decision-making, and resilience ... The best leaders don't eliminate risk. They manage it intelligently. And in many ways, cybersecurity offers a surprisingly useful playbook for doing exactly that ...