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Automox Launches New AVR as the Fastest Way to Ingest and Remediate Thousands of Vulnerabilities Across Operating Systems and Third-Party Software

The new version of Automox’s vaunted Automated Vulnerability Remediation delivers end-to-end CVE-prioritized remediation of thousands of vulnerabilities

Automox announced the availability of new, groundbreaking CVE-prioritized vulnerability remediation across operating systems and third-party software.

Automated Vulnerability Remediation ingests and prioritizes vulnerabilities from Rapid7’s InsightVM for immediate remediation via endpoint patching or script automation using Automox Worklets™. With AVR, IT operations teams gain confidence that all their endpoints are constantly and automatically up-to-date and protected against the most severe vulnerabilities.

End-to-end scanning, identification, prioritization, and remediation are critical when managing third-party software application risk. According to CIO Dive, May 2023, the onslaught of third-party apps is palpable, with the number of apps the average desk worker utilizes increasing from six to eleven between 2019 and 2023. According to Dark Reading, February 2023, 98% of organizations do business with a third party who has suffered a breach. These are sobering realities that, left unchecked, increase risk and reduce confidence.

Automox’s AVR works with Rapid7’s InsightVM to ingest and group by severity for fast remediation. With logically grouped vulnerabilities, inclusive of CVE severity and reboot requirements, fast prioritization and action can be taken.

"AVR with CVE-prioritization lets IT focus on fast remediation of critical vulnerabilities across operating systems and third-party software," said Jason Kikta, CISO/SVP Product of Automox. "Our customers need to rapidly patch and configure vulnerabilities at scale. The new AVR is the fastest way for them to automate what’s been a slow, uncertain, and painful process. Our platform speeds through end-to-end remediation using Rapid7 InsightVM to scan and identify, then Automox to ingest, prioritize, and remediate — all in minutes across hundreds of apps and thousands of endpoints."

Often, patching is not enough when remediating vulnerabilities to reduce risk. Automox Worklets are PowerShell and Bash automation scripts that make fast work of complex configuration changes across thousands of endpoints. Over 375 ready-to-use Worklets are included in the Automox platform, and users may also write their own custom Worklets or use Automox’s groundbreaking Otto AI to draft Worklets for them. Using AVR and Worklets together, Automox customers gain confidence their vulnerabilities are remediated, and their endpoints are always up-to-date.

Using the new AVR with CVE-prioritization, Automox customers can keep all their endpoints secure by automating the remediation of thousands of vulnerabilities across hundreds of third-party software titles.

The new AVR feature is available to Automox Pro tier customers today.

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Automox Launches New AVR as the Fastest Way to Ingest and Remediate Thousands of Vulnerabilities Across Operating Systems and Third-Party Software

The new version of Automox’s vaunted Automated Vulnerability Remediation delivers end-to-end CVE-prioritized remediation of thousands of vulnerabilities

Automox announced the availability of new, groundbreaking CVE-prioritized vulnerability remediation across operating systems and third-party software.

Automated Vulnerability Remediation ingests and prioritizes vulnerabilities from Rapid7’s InsightVM for immediate remediation via endpoint patching or script automation using Automox Worklets™. With AVR, IT operations teams gain confidence that all their endpoints are constantly and automatically up-to-date and protected against the most severe vulnerabilities.

End-to-end scanning, identification, prioritization, and remediation are critical when managing third-party software application risk. According to CIO Dive, May 2023, the onslaught of third-party apps is palpable, with the number of apps the average desk worker utilizes increasing from six to eleven between 2019 and 2023. According to Dark Reading, February 2023, 98% of organizations do business with a third party who has suffered a breach. These are sobering realities that, left unchecked, increase risk and reduce confidence.

Automox’s AVR works with Rapid7’s InsightVM to ingest and group by severity for fast remediation. With logically grouped vulnerabilities, inclusive of CVE severity and reboot requirements, fast prioritization and action can be taken.

"AVR with CVE-prioritization lets IT focus on fast remediation of critical vulnerabilities across operating systems and third-party software," said Jason Kikta, CISO/SVP Product of Automox. "Our customers need to rapidly patch and configure vulnerabilities at scale. The new AVR is the fastest way for them to automate what’s been a slow, uncertain, and painful process. Our platform speeds through end-to-end remediation using Rapid7 InsightVM to scan and identify, then Automox to ingest, prioritize, and remediate — all in minutes across hundreds of apps and thousands of endpoints."

Often, patching is not enough when remediating vulnerabilities to reduce risk. Automox Worklets are PowerShell and Bash automation scripts that make fast work of complex configuration changes across thousands of endpoints. Over 375 ready-to-use Worklets are included in the Automox platform, and users may also write their own custom Worklets or use Automox’s groundbreaking Otto AI to draft Worklets for them. Using AVR and Worklets together, Automox customers gain confidence their vulnerabilities are remediated, and their endpoints are always up-to-date.

Using the new AVR with CVE-prioritization, Automox customers can keep all their endpoints secure by automating the remediation of thousands of vulnerabilities across hundreds of third-party software titles.

The new AVR feature is available to Automox Pro tier customers today.

The Latest

In MEAN TIME TO INSIGHT Episode 14, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses hybrid multi-cloud network observability... 

While companies adopt AI at a record pace, they also face the challenge of finding a smart and scalable way to manage its rapidly growing costs. This requires balancing the massive possibilities inherent in AI with the need to control cloud costs, aim for long-term profitability and optimize spending ...

Telecommunications is expanding at an unprecedented pace ... But progress brings complexity. As WanAware's 2025 Telecom Observability Benchmark Report reveals, many operators are discovering that modernization requires more than physical build outs and CapEx — it also demands the tools and insights to manage, secure, and optimize this fast-growing infrastructure in real time ...

As businesses increasingly rely on high-performance applications to deliver seamless user experiences, the demand for fast, reliable, and scalable data storage systems has never been greater. Redis — an open-source, in-memory data structure store — has emerged as a popular choice for use cases ranging from caching to real-time analytics. But with great performance comes the need for vigilant monitoring ...

Kubernetes was not initially designed with AI's vast resource variability in mind, and the rapid rise of AI has exposed Kubernetes limitations, particularly when it comes to cost and resource efficiency. Indeed, AI workloads differ from traditional applications in that they require a staggering amount and variety of compute resources, and their consumption is far less consistent than traditional workloads ... Considering the speed of AI innovation, teams cannot afford to be bogged down by these constant infrastructure concerns. A solution is needed ...

AI is the catalyst for significant investment in data teams as enterprises require higher-quality data to power their AI applications, according to the State of Analytics Engineering Report from dbt Labs ...

Misaligned architecture can lead to business consequences, with 93% of respondents reporting negative outcomes such as service disruptions, high operational costs and security challenges ...

A Gartner analyst recently suggested that GenAI tools could create 25% time savings for network operational teams. Where might these time savings come from? How are GenAI tools helping NetOps teams today, and what other tasks might they take on in the future as models continue improving? In general, these savings come from automating or streamlining manual NetOps tasks ...

IT and line-of-business teams are increasingly aligned in their efforts to close the data gap and drive greater collaboration to alleviate IT bottlenecks and offload growing demands on IT teams, according to The 2025 Automation Benchmark Report: Insights from IT Leaders on Enterprise Automation & the Future of AI-Driven Businesses from Jitterbit ...

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