This white paper presents key technologies that Cloudera contributes to streamline all steps of the autonomous driving development lifecycle into a scalable AI-enabled Enterprise Data Cloud.
Synopsys helps development teams build secure, high-quality software, minimizing risks while maximizing speed and productivity. Synopsys, a recognized leader in application security, provides static analysis, software composition analysis, and dynamic analysis solutions that enable teams to quickly find and fix vulnerabilities and defects in proprietary code, open source components, and application behavior.
Open source use isn’t risky, but unmanaged use of open source is.
Open source software forms the backbone of nearly every application in every industry. Chances are that includes the applications your company develops as well. If you can’t produce an accurate inventory of the licenses, versions, and patch status of the open source components in your applications, it’s time to assess your open source management policies.
This paper provides insights and recommendations to help organizations and their development and IT teams better manage the open source risk landscape. It covers:
According to SAP, more than 80% of all cyber attacks are happening on the application layer,1 specifically targeting software applications rather than the network.
Hackers take the easiest path when determining exploits and choose applications that offer the best attack surface opportunities. Those opportunities are generally created by unpatched or outdated software.
For example, Heartbleed, a dangerous security flaw, critically exposes OpenSSL, an open source project used in hundreds of thousands of applications that need to secure communications over computer networks against eavesdropping. Yet 56% of all OpenSSL versions that Cisco Security Research examined in its 2015 security report2 were still vulnerable to Heartbleed, more than two years after the Heartbleed vulnerability was first disclosed and a patched version issued.
This illustrates the difficulty organizations have in inventorying and managing open source components rather than a lack of security diligence. Without a comprehensive list of open source components in use, it is nearly impossible for any organization to identify specific applications that use vulnerable components.
Application security is a strategic imperative for organizations developing internal and public-facing software. Exploits of software security vulnerabilities can result in loss of customer or company information, disruption of business operations, damage to public image, regulatory penalties, and costly litigation.
Adding to the management challenge, the software development life cycle (SDLC) is increasingly complex. Demands for agility and faster time to market, distributed development teams, and rapidly evolving languages and technologies are all contributing factors.
To remain competitive, development teams increasingly rely on open source software—cost-effective, reusable software building blocks created and maintained by global communities of developers.
Open source use isn’t risky, but unmanaged use of open source is.
Open source software forms the backbone of nearly every application in every industry. Chances are that includes the applications your company develops as well. If you can’t produce an accurate inventory of the licenses, versions, and patch status of the open source components in your applications, it’s time to assess your open source management policies.
This paper provides insights and recommendations to help organizations and their development and IT teams better manage the open source risk landscape. It covers:
Can you say with confidence that the open source components used in your applications are up-to-date with all crucial patches applied? It’s impossible to patch software when you don’t know you’re using it.
The 2019 OSSRA report offers an in-depth look at the state of open source security, compliance, and code quality risk in commercial software. Based on the anonymized data of over 1,200 audited codebases, this report provides:
Today’s IT stack is more complex and more dynamic than ever before. This means that IT Ops teams must support both the legacy infrastructure accumulated over the years, and modern, ephemeral technologies mandated by cloud-first architectures. Stretched thin, and relying on legacy IT Ops tools, IT Ops teams are unable to effectively do this, resulting in a rising tide of outages, poor app performance and service disruptions. This takes a toll on the business, IT leaders and IT Ops teams.
What’s the answer? Artificial Intelligence (AI) and Machine Learning (ML). AI and ML can help IT Ops teams handle and resolve IT problems at scale, by intelligently automating various aspects of IT incident management. But that’s not all. Over time, as IT Ops teams and enterprises experience the benefits of automation, IT Ops will be able to move from simple automation to a more autonomous mode of operation. In this white paper, noted industry analyst Nancy Gohring from 451 Research describes how AI and ML help drive automation in IT Ops, why IT Ops will move from automation to autonomous over time, and key considerations for IT leaders as they embrace automation and autonomous operations.
Today’s IT stack is more complex and more dynamic than ever before. This means that IT Ops teams must support both the legacy infrastructure accumulated over the years, and modern, ephemeral technologies mandated by cloud-first architectures. Stretched thin, and relying on legacy IT Ops tools, IT Ops teams are unable to effectively do this, resulting in a rising tide of outages, poor app performance and service disruptions. This takes a toll on the business, IT leaders and IT Ops teams.
What’s the answer? Artificial Intelligence (AI) and Machine Learning (ML). AI and ML can help IT Ops teams handle and resolve IT problems at scale, by intelligently automating various aspects of IT incident management. But that’s not all. Over time, as IT Ops teams and enterprises experience the benefits of automation, IT Ops will be able to move from simple automation to a more autonomous mode of operation. In this white paper, noted industry analyst Nancy Gohring from 451 Research describes how AI and ML help drive automation in IT Ops, why IT Ops will move from automation to autonomous over time, and key considerations for IT leaders as they embrace automation and autonomous operations.
Having multiple monitoring tools often inhibits the collaboration that is critical to resolving problems quickly. What's the answer? AIOps tools.
AIOps tools, or IT Ops tools powered by AI and ML, provide a consistent view of monitoring data. This helps I&O leaders improve collaboration and resolution times, support internal service owners and delight external customers.
Download this Gartner report to learn more.
AIOps platforms enhance IT operations through greater insights by combining big data, machine learning and visualization. I&O leaders should initiate AIOps deployment to refine performance analysis today and augment to IT service management and automation over the next two to five years.
But which AIOps platforms can you trust, and which ones should you consider? Download this Gartner report to learn more.
This is a serious problem for IT execs.
They need to transform IT Ops to catch up with software and infrastructure modernization. In order to transform IT Ops, they must have easy and ready access to insight-rich, actionable IT Ops performance reports and analytics. But because IT Ops reporting is broken, there’s no easy way to do that.
If you’re part of an IT Ops or NOC team, or if you manage one, you know that overwhelming IT noise is your #1 enemy. Flooded with false positives overwhelming IT noise means that IT Ops and NOC teams are flooded with false positives on an everyday basis. The problem gets significantly worse when outages and disruptions cause alert storms or alert floods and NOC techs and engineers can't isolate root cause.
Can AIOps tools, or IT Ops tools powered by AI and ML, help?
Download this solution brief to learn more.
Digital transformation is critical for any enterprise that wants to win in today’s market. It requires meaningful IT investments in new applications, clouds, services, infrastructure and delivery models. These add complexity and scale that compound the already heavy burden on IT Operations, which in turn increases the risk of painful IT disruptions.
Service outages, lost revenue, angry customers and runaway costs put at risk the very technology-enabled innovations meant to keep your enterprise competitive. For IT Operations to transform, it must intelligently automate and scale in order to keep up with a transforming IT reality.
The current generation of automation technologies – based on static rules and largely built by hand - are not a fit for modern, and complex IT environments. It’s time for the next generation of automation…
Having multiple monitoring tools often inhibits the collaboration that is critical to resolving problems quickly. What's the answer? AIOps tools.
AIOps tools, or IT Ops tools powered by AI and ML, provide a consistent view of monitoring data. This helps I&O leaders improve collaboration and resolution times, support internal service owners and delight external customers.
Download this Gartner report to learn more.