Skip to main content

ScienceLogic Achieves FedRAMP Moderate Authorization

ScienceLogic® has achieved Federal Risk and Authorization Management Program (FedRAMP®) Moderate authorization for the ScienceLogic Government Cloud. 

A federal initiative intended to streamline and advance the U.S. government’s adoption of cloud technologies, FedRAMP evaluates cloud-based products and services against a standardized framework developed to validate each tool’s security and risk controls.

Following a rigorous security assessment by a third-party assessment organization (3PAO) and completion of additional FedRAMP requirements, the ScienceLogic Government Cloud is now optimally positioned to support federal, state, and local agencies in their digital transformation efforts. Built on the SL1 platform, it delivers a powerful foundation of observability and data management—critical for modernizing IT operations and supporting IT Service Management (ITSM) practices.

The platform enables agencies to drive significant operational efficiencies by eliminating manual IT processes, automating incident remediation, and expediting asset discovery across complex infrastructures. These capabilities directly support government-wide efficiency mandates, with ScienceLogic customers reporting up to 20% reduction in IT staffing requirements while simultaneously decreasing system downtime by as much as 30%. Agencies can effectively manage Tier-1 and Tier-2 operational workflows with reduced staffing, benefit from automated CMDB enrichment for accurate configuration management, and enhance mission resilience through predictive analytics.

By offering real-time, unified visibility across on-premises, cloud, and hybrid environments, the platform empowers agencies to proactively monitor the health of systems and ensure the reliability of the critical services their constituents depend on. This comprehensive visibility also strengthens agencies' cyber resilience posture, complementing Zero Trust architecture initiatives and supporting compliance with Executive Order 14028 and CISA directives. Business service views further enhance situational awareness, helping IT teams maintain continuity across increasingly complex infrastructures.

“Achieving FedRAMP authorization marks a pivotal milestone in our mission to support government agencies in their digital transformation journeys. This designation not only affirms the security and reliability of the ScienceLogic Government Cloud platform but paves the way for broader adoption of advanced AIOps capabilities across the public sector,” said Dave Link, CEO of ScienceLogic. “By aligning with FedRAMP’s rigorous standards, we can more rapidly enable agencies to modernize IT operations, gain real-time visibility, and harness automation at scale— accelerating innovation and improving outcomes government-wide.”

“ScienceLogic is committed to maintaining the highest levels of security and compliance for the ScienceLogic Government Cloud, exemplified by our new FedRAMP authorization and existing listings on the Department of Defense Information Networks (DoDIN) Approved Products List (APL), ISO 27001, and other certifications,” said Lee Koepping, chief technologist for the public sector at ScienceLogic. “With our proven commitment to security, we’re pleased to enable agencies to gain the critical IT observability and efficiencies that they need to enhance their operations while withstanding the evolving cyber threat landscape.”

The ScienceLogic Government Cloud delivers the full power of SL1 and PowerFlow, enabling seamless integrations between the platform and a wide range of third-party applications. These include ITSM and incident response tools such as ServiceNow, Atlassian Jira, Salesforce Service Desk, Cherwell, Everbridge xMatters, and PagerDuty, as well as collaboration platforms like Microsoft Teams, Slack, and Webex. ScienceLogic’s listing in the FedRAMP Marketplace underscores its commitment to delivering secure, scalable solutions to government agencies. 

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 ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...

ScienceLogic Achieves FedRAMP Moderate Authorization

ScienceLogic® has achieved Federal Risk and Authorization Management Program (FedRAMP®) Moderate authorization for the ScienceLogic Government Cloud. 

A federal initiative intended to streamline and advance the U.S. government’s adoption of cloud technologies, FedRAMP evaluates cloud-based products and services against a standardized framework developed to validate each tool’s security and risk controls.

Following a rigorous security assessment by a third-party assessment organization (3PAO) and completion of additional FedRAMP requirements, the ScienceLogic Government Cloud is now optimally positioned to support federal, state, and local agencies in their digital transformation efforts. Built on the SL1 platform, it delivers a powerful foundation of observability and data management—critical for modernizing IT operations and supporting IT Service Management (ITSM) practices.

The platform enables agencies to drive significant operational efficiencies by eliminating manual IT processes, automating incident remediation, and expediting asset discovery across complex infrastructures. These capabilities directly support government-wide efficiency mandates, with ScienceLogic customers reporting up to 20% reduction in IT staffing requirements while simultaneously decreasing system downtime by as much as 30%. Agencies can effectively manage Tier-1 and Tier-2 operational workflows with reduced staffing, benefit from automated CMDB enrichment for accurate configuration management, and enhance mission resilience through predictive analytics.

By offering real-time, unified visibility across on-premises, cloud, and hybrid environments, the platform empowers agencies to proactively monitor the health of systems and ensure the reliability of the critical services their constituents depend on. This comprehensive visibility also strengthens agencies' cyber resilience posture, complementing Zero Trust architecture initiatives and supporting compliance with Executive Order 14028 and CISA directives. Business service views further enhance situational awareness, helping IT teams maintain continuity across increasingly complex infrastructures.

“Achieving FedRAMP authorization marks a pivotal milestone in our mission to support government agencies in their digital transformation journeys. This designation not only affirms the security and reliability of the ScienceLogic Government Cloud platform but paves the way for broader adoption of advanced AIOps capabilities across the public sector,” said Dave Link, CEO of ScienceLogic. “By aligning with FedRAMP’s rigorous standards, we can more rapidly enable agencies to modernize IT operations, gain real-time visibility, and harness automation at scale— accelerating innovation and improving outcomes government-wide.”

“ScienceLogic is committed to maintaining the highest levels of security and compliance for the ScienceLogic Government Cloud, exemplified by our new FedRAMP authorization and existing listings on the Department of Defense Information Networks (DoDIN) Approved Products List (APL), ISO 27001, and other certifications,” said Lee Koepping, chief technologist for the public sector at ScienceLogic. “With our proven commitment to security, we’re pleased to enable agencies to gain the critical IT observability and efficiencies that they need to enhance their operations while withstanding the evolving cyber threat landscape.”

The ScienceLogic Government Cloud delivers the full power of SL1 and PowerFlow, enabling seamless integrations between the platform and a wide range of third-party applications. These include ITSM and incident response tools such as ServiceNow, Atlassian Jira, Salesforce Service Desk, Cherwell, Everbridge xMatters, and PagerDuty, as well as collaboration platforms like Microsoft Teams, Slack, and Webex. ScienceLogic’s listing in the FedRAMP Marketplace underscores its commitment to delivering secure, scalable solutions to government agencies. 

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 ...

A large majority (86%) of data management and AI decision makers cite protecting data privacy as a top concern, with 76% of respondents citing ROI on data privacy and AI initiatives across their organization, according to a new Harris Poll from Collibra ...