
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
In live financial environments, capital markets software cannot pause for rebuilds. New capabilities are introduced as stacked technology layers to meet evolving demands while systems remain active, data keeps moving, and controls stay intact. AI is no exception, and its opportunities are significant: accelerated decision cycles, compressed manual workflows, and more effective operations across complex environments. The constraint isn't the models themselves, but the architectural environments they enter ...
Like most digital transformation shifts, organizations often prioritize productivity and leave security and observability to keep pace. This usually translates to both the mass implementation of new technology and fragmented monitoring and observability (M&O) tooling. In the era of AI and varied cloud architecture, a disparate observability function can be dangerous. IT teams will lack a complete picture of their IT environment, making it harder to diagnose issues while slowing down mean time to resolve (MTTR). In fact, according to recent data from the SolarWinds State of Monitoring & Observability Report, 77% of IT personnel said the lack of visibility across their on-prem and cloud architecture was an issue ...
In MEAN TIME TO INSIGHT Episode 23, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses the NetOps labor shortage ...
Technology management is evolving, and in turn, so is the scope of FinOps. The FinOps Foundation recently updated their mission statement from "advancing the people who manage the value of cloud" to "advancing the people who manage the value of technology." This seemingly small change solidifies a larger evolution: FinOps practitioners have organically expanded to be focused on more than just cloud cost optimization. Today, FinOps teams are largely — and quickly — expanding their job descriptions, evolving into a critical function for managing the full value of technology ...
Enterprises are under pressure to scale AI quickly. Yet despite considerable investment, adoption continues to stall. One of the most overlooked reasons is vendor sprawl ... In reality, no organization deliberately sets out to create sprawling vendor ecosystems. More often, complexity accumulates over time through well-intentioned initiatives, such as enterprise-wide digital transformation efforts, point solutions, or decentralized sourcing strategies ...
Nearly every conversation about AI eventually circles back to compute. GPUs dominate the headlines while cloud platforms compete for workloads and model benchmarks drive investment decisions. But underneath that noise, a quieter infrastructure challenge is taking shape. The real bottleneck in enterprise AI is not processing power, it is the ability to store, manage and retrieve the relentless volumes of data that AI systems generate, consume and multiply ...
The 2026 Observability Survey from Grafana Labs paints a vivid picture of an industry maturing fast, where AI is welcomed with careful conditions, SaaS economics are reshaping spending decisions, complexity remains a defining challenge, and open standards continue to underpin it all ...
The observability industry has an evolving relationship with AI. We're not skeptics, but it's clear that trust in AI must be earned ... In Grafana Labs' annual Observability Survey, 92% said they see real value in AI surfacing anomalies before they cause downtime. Another 91% endorsed AI for forecasting and root cause analysis. So while the demand is there, customers need it to be trustworthy, as the survey also found that the practitioners most enthusiastic about AI are also the most insistent on explainability ...
In the modern enterprise, the conversation around AI has moved past skepticism toward a stage of active adoption. According to our 2026 State of IT Trends Report: The Human Side of Autonomous AI, nearly 90% of IT professionals view AI as a net positive, and this optimism is well-founded. We are seeing agentic AI move beyond simple automation to actively streamlining complex data insights and eliminating the manual toil that has long hindered innovation. However, as we integrate these autonomous agents into our ecosystems, the fundamental DNA of the IT role is evolving ...
AI workloads require an enormous amount of computing power ... What's also becoming abundantly clear is just how quickly AI's computing needs are leading to enterprise systems failure. According to Cockroach Labs' State of AI Infrastructure 2026 report, enterprise systems are much closer to failure than their organizations realize. The report ... suggests AI scale could cause widespread failures in as little as one year — making it a clear risk for business performance and reliability.