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Flexera One SaaS Management Released

Flexera announced the launch of Flexera One SaaS Management, delivering a comprehensive approach to SaaS discovery, optimization and control.

The next generation solution combines the strengths of both Flexera and Snow SaaS management applications, enabling organizations to effectively gain complete visibility over SaaS applications and AI tools, save costs and mitigate risks.

“The rapid adoption of AI is reshaping the SaaS landscape, introducing new challenges like shadow AI,” said Brian Shannon, chief technology officer at Flexera. “Enterprises are struggling with SaaS sprawl, the demands for stricter oversight and governance in the age of AI. Our unified Flexera One SaaS Management solution addresses these shifting challenges, especially as businesses integrate AI more strategically. With this launch, we’re redefining advanced SaaS optimization and reinforcing our leadership in the SaaS management market.”  

With Flexera’s visibility, organizations can reduce unnecessary spending, rationalize overlapping tools, and monitor usage trends in real time.

New or enhanced features include:

  • The most complete discovery engine in market that utilizes a comprehensive range of discovery methods, including Browser and Financial Discovery, Agent, API, Cloud Access Security Broker (CASB), and Single-Sign On (SSO), the solution ensures that all SaaS (including sanctioned and unsanctioned) and employee use of AI is broadly covered.
  • Enhanced control over critical SaaS applications through robust enterprise-ready API integrations with key SaaS providers like Microsoft 365, Salesforce and ServiceNow, for a comprehensive analysis of license details, offering insights into previously unknown costs.
  • Advanced insights that integrate usage intelligence, financial data and automated remediation to offer insights on underutilized licenses or features and downgrades app tiers based on actual usage.
  • Enhanced security and governance that enables IT to enforce security policies, manage user access and maintain better control over an IT environment.

Flexera’s continuous innovation in SaaS management will provide customers with essential technology to stay ahead of the evolving application landscape and increasingly decentralized software adoption. The creation of a unified platform further showcases Flexera's commitment to continuous investment in the Snow portfolio, underscoring a dedication to enhancing support and providing comprehensive solutions for customers.

Flexera One SaaS Management is available now. 

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AI observability serves several roles across an organization. AI engineers use it to build, evaluate, and improve AI systems. SREs use it to operate those systems reliably and efficiently in production, including managing their cost. Leaders need it to connect AI behavior and operational performance to business outcomes. The common need is a clear understanding of whether AI systems are delivering the intended result ...

Part 4 outlines the challenges enterprise face when adopting AI observability. The main challenge is that AI complexity compounds at every stage of maturity. LLM-based applications introduce new behavior, dependencies, and quality considerations, while Agentic AI adds further failure modes as systems make decisions and take actions ...

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Most enterprise IT leaders can tell you exactly how many applications are running across their organization. They can surface a dashboard showing telecom spend by region, pull a report on SaaS license utilization, or call up a real-time view of mobile device inventory. The data is there, and IT leaders have largely delivered on the promise of visibility. Yet, in most organizations, that visibility has not translated into business value ...

Flexera One SaaS Management Released

Flexera announced the launch of Flexera One SaaS Management, delivering a comprehensive approach to SaaS discovery, optimization and control.

The next generation solution combines the strengths of both Flexera and Snow SaaS management applications, enabling organizations to effectively gain complete visibility over SaaS applications and AI tools, save costs and mitigate risks.

“The rapid adoption of AI is reshaping the SaaS landscape, introducing new challenges like shadow AI,” said Brian Shannon, chief technology officer at Flexera. “Enterprises are struggling with SaaS sprawl, the demands for stricter oversight and governance in the age of AI. Our unified Flexera One SaaS Management solution addresses these shifting challenges, especially as businesses integrate AI more strategically. With this launch, we’re redefining advanced SaaS optimization and reinforcing our leadership in the SaaS management market.”  

With Flexera’s visibility, organizations can reduce unnecessary spending, rationalize overlapping tools, and monitor usage trends in real time.

New or enhanced features include:

  • The most complete discovery engine in market that utilizes a comprehensive range of discovery methods, including Browser and Financial Discovery, Agent, API, Cloud Access Security Broker (CASB), and Single-Sign On (SSO), the solution ensures that all SaaS (including sanctioned and unsanctioned) and employee use of AI is broadly covered.
  • Enhanced control over critical SaaS applications through robust enterprise-ready API integrations with key SaaS providers like Microsoft 365, Salesforce and ServiceNow, for a comprehensive analysis of license details, offering insights into previously unknown costs.
  • Advanced insights that integrate usage intelligence, financial data and automated remediation to offer insights on underutilized licenses or features and downgrades app tiers based on actual usage.
  • Enhanced security and governance that enables IT to enforce security policies, manage user access and maintain better control over an IT environment.

Flexera’s continuous innovation in SaaS management will provide customers with essential technology to stay ahead of the evolving application landscape and increasingly decentralized software adoption. The creation of a unified platform further showcases Flexera's commitment to continuous investment in the Snow portfolio, underscoring a dedication to enhancing support and providing comprehensive solutions for customers.

Flexera One SaaS Management is available now. 

The Latest

AI observability serves several roles across an organization. AI engineers use it to build, evaluate, and improve AI systems. SREs use it to operate those systems reliably and efficiently in production, including managing their cost. Leaders need it to connect AI behavior and operational performance to business outcomes. The common need is a clear understanding of whether AI systems are delivering the intended result ...

Part 4 outlines the challenges enterprise face when adopting AI observability. The main challenge is that AI complexity compounds at every stage of maturity. LLM-based applications introduce new behavior, dependencies, and quality considerations, while Agentic AI adds further failure modes as systems make decisions and take actions ...

Part 3 reports on the current state of AI observability. Most experts agree: enterprises are moving faster with AI than they are with the operational discipline needed to run it safely ...

When discussing AI Observability, one of the first questions that arises: Is this just an extension of traditional observability or is this a whole new type of tool? Part 2 compares traditional observability with AI observability ...

In this extensive 14-part series that will post over the next three weeks, experts across observability and AI will provide insight and opinions on the need for AI Observability, the challenges, the benefits, the current state, and predictions for the future ...

Amid rising complexity, organizations are moving quickly toward agent-driven operations: AgenticOps, according to The Impact of Agentic AI on Network Operations, a new report from Cisco ...

AI, automation, and enterprise software give organizations an extraordinary amount of leverage. Work that once required hours can happen in minutes. Information buried across systems can be analyzed almost instantly. Complex workflows can be coordinated across teams with far less manual intervention. That leverage creates a temptation to start with the technology ...

Everyone wants to talk about models. Compute clusters. Benchmark scores that climb a fraction of a point and make headlines anyway. It's an easy conversation to have because it's measurable. But it's also increasingly beside the point ...

For more than a decade, the default infrastructure play has been simple. Move more workloads to the cloud, retire on-premises gear and treat the data center as a cost to shrink. That logic held while public cloud offered near-limitless capacity at predictable prices, and AI demand is now testing both halves of that assumption ...

Most enterprise IT leaders can tell you exactly how many applications are running across their organization. They can surface a dashboard showing telecom spend by region, pull a report on SaaS license utilization, or call up a real-time view of mobile device inventory. The data is there, and IT leaders have largely delivered on the promise of visibility. Yet, in most organizations, that visibility has not translated into business value ...