Skip to main content

New Relic Vulnerability Management Launched

New Relic announced the general availability of New Relic Vulnerability Management to provide customers with security monitoring, helping engineering teams identify and triage vulnerabilities across their tech stack, all in one place.

This includes new Interactive Application Security Testing (IAST) capabilities, added to New Relic with the acquisition of K2 Cyber Security, that enable teams to perform vulnerability testing without having to make any code changes or interrupting normal business operations. Vulnerability Management is available out of the box and available without additional configuration.

Vulnerability Management is a natural addition to New Relic’s existing 30+ observability capabilities and aligns with its vision of eliminating data, tool, and team silos. The solution integrates New Relic’s native vulnerability signals and third party security signals into its purpose-built Telemetry Data Platform to monitor and manage all enterprise telemetry data in one place. Development, security, and operations teams can now use one connected experience to manage application security issues and avoid switching between siloed tools. All of this is available as part of New Relic’s simple and transparent consumption pricing with a promotional offer to democratize observability and security for all engineers.

Vulnerability Management provides visibility into an organization’s entire tech stack so they can identify vulnerabilities and protect their applications at every stage of the software development lifecycle.

“Maintaining application security is a critical part of the overall software developer workflow.” said New Relic CEO Bill Staples. “New Relic’s data-driven approach puts us in a unique position to provide security visibility across the entire enterprise tech stack.”

Key capabilities include:

- Zero configuration visibility: Instant and actionable security information with no additional configuration that brings continuous runtime software composition analysis (SCA) for risk assessment across the stack.

- New vulnerability testing capabilities in limited preview: Detect signatureless vulnerabilities in pre-production environments using IAST. The new capabilities leverage a patented deterministic technique to identify and provide automated vulnerability validation with proof of exploit.

- Open third party integrations: Unified security view across the stack and software lifecycle by adding security data with New Relic’s open ecosystem using built-in quickstarts, or from any custom source using New Relic’s security APIs.

- Automatic risk prioritization: Evaluate security risks across the software stack correlated with the service catalog.

- Alerting on newly discovered vulnerabilities: Notifications via Slack and Webhooks when new vulnerabilities are introduced in the code base.

Vulnerability Management is now generally available to all New Relic accounts in the US region, with general availability in the EU region planned for Feb 15, 2023.

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 ...

New Relic Vulnerability Management Launched

New Relic announced the general availability of New Relic Vulnerability Management to provide customers with security monitoring, helping engineering teams identify and triage vulnerabilities across their tech stack, all in one place.

This includes new Interactive Application Security Testing (IAST) capabilities, added to New Relic with the acquisition of K2 Cyber Security, that enable teams to perform vulnerability testing without having to make any code changes or interrupting normal business operations. Vulnerability Management is available out of the box and available without additional configuration.

Vulnerability Management is a natural addition to New Relic’s existing 30+ observability capabilities and aligns with its vision of eliminating data, tool, and team silos. The solution integrates New Relic’s native vulnerability signals and third party security signals into its purpose-built Telemetry Data Platform to monitor and manage all enterprise telemetry data in one place. Development, security, and operations teams can now use one connected experience to manage application security issues and avoid switching between siloed tools. All of this is available as part of New Relic’s simple and transparent consumption pricing with a promotional offer to democratize observability and security for all engineers.

Vulnerability Management provides visibility into an organization’s entire tech stack so they can identify vulnerabilities and protect their applications at every stage of the software development lifecycle.

“Maintaining application security is a critical part of the overall software developer workflow.” said New Relic CEO Bill Staples. “New Relic’s data-driven approach puts us in a unique position to provide security visibility across the entire enterprise tech stack.”

Key capabilities include:

- Zero configuration visibility: Instant and actionable security information with no additional configuration that brings continuous runtime software composition analysis (SCA) for risk assessment across the stack.

- New vulnerability testing capabilities in limited preview: Detect signatureless vulnerabilities in pre-production environments using IAST. The new capabilities leverage a patented deterministic technique to identify and provide automated vulnerability validation with proof of exploit.

- Open third party integrations: Unified security view across the stack and software lifecycle by adding security data with New Relic’s open ecosystem using built-in quickstarts, or from any custom source using New Relic’s security APIs.

- Automatic risk prioritization: Evaluate security risks across the software stack correlated with the service catalog.

- Alerting on newly discovered vulnerabilities: Notifications via Slack and Webhooks when new vulnerabilities are introduced in the code base.

Vulnerability Management is now generally available to all New Relic accounts in the US region, with general availability in the EU region planned for Feb 15, 2023.

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 ...