000-M90 exam Dumps Source : IBM Content Analytics Theory Technical Mastery Test v1
Test Code : 000-M90
Test name : IBM Content Analytics Theory Technical Mastery Test v1
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: 49 existent Questions
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A negative analyst document about IBM is probably no longer what CEO Ginni Rometty was hoping for this week as massive Blue kicked off its astronomical InterConnect conference.
In a analysis notice, Sanford C. Bernstein analyst Toni Sacconaghi expressed doubts that IBM’s a noteworthy deal-trumpeted transformation—which relies heavily on its cloud, mobility, analytics and protection organizations— is getting traction, or as a minimum enough traction to offset the declines in its legacy agencies. Sacconaghi, a respected pattern among investors, echoed issues others possess about IBM (ibm) and which IBM pros possess sought to downplay.
Sacconaghi’s foundation line:
The “theory” is that as the company’s strategic imperatives develop into greater over time, IBM’s boom rate will enhance. The difficulty is it is hasn’t. whereas the strategic imperatives possess grown $13.8B over the terminal 4 years (together with acquisitions), IBM’s “core” revenues possess declined by means of an exquisite $29.7B, resulting in profits declines (adjusted for exotic money and acquisitions and divestitures) in each of the ultimate 4 years. Most sobering, IBM’s earnings growth fee on this normalized groundwork has no longer better totality through the length.
The traffic continues to wager massive on emerging markets including healthcare information analytics. final week it introduced its diagram to acquire Truven Healthcare for $2.6 billion, as an example. That’s a daring stream, however skeptics quiz yourself if these carrying on with investments will gleam the quintessential rewards. And there is a few feeling that IBM is purchasing now not most efficacious information and technology however consumers for Watson, its marquee self-discovering or ersatz intelligence utility, in its set of selling that service to novel shoppers the ancient-fashioned manner.
For extra on IBM and fitness data, watch:
a number of weeks in the past on IBM’s fourth-quarter revenue call, chief economic officer Martin Schroeter referred to the company’s performance in these strategic areas “accelerated” in the previous fiscal year.
“together, cloud, analytics, mobile, social and safety grew 26% and delivered $29 billion in income,” Schroeter noted. together, he added, they symbolize a pair of third of IBM’s business, up from 22% two years ago.
IBM, which had no remark for this story, has additionally claimed great uptake of its Bluemix software pile platform by means of thousands of latest developers a week. but there continues to live an absence of huge-identify clients for cloud and records analytics capabilities. lots of partnerships and acquisitions for bound, but customers? not so clear. meanwhile Amazon (amzn) and Microsoft (msft) continue their neatly-funded public cloud push.
Get facts Sheet, Fortune’s technology publication.
Sacconaghi’s record comes just days after Morgan Stanley (ms) analyst Katy Huberty raised her score of IBM from “equal weight” (or impartial) to “obese” (or buy.) Huberty observed the traffic is doing more advantageous at this multi-12 months transition than is commonly authorized.
Sacconaghi plainly disagrees. He said shareholders want more element about IBM’s key agencies, together with application. as an instance, how a lot has that traffic declined and the way an Awful lot of its revenue comes from application that runs on old-school Unix-based hardware? The hope is that these questions should live requested (and answered) on IBM’s analyst briefing day this Thursday.
And, in cloud where IBM competes with Amazon web features in shared public cloud infrastructure and with a few application-as-a-provider and platform-as-a-carrier avid gamers, a key question is how an Awful lot of IBM’s “as-a-service” salary comes from novel valued clientele and the way tons is due to a shift of present consumers from on-premises Use of software to the newer model?
In Sacconaghi’s view, the jury is out despite the fact that IBM’s precedence organizations are doing well.
The problem is that massive Blue’s general growth is obnoxious and never enhancing, he cited. that implies, he wrote:
that IBM is dropping wallet share from its purchasers, and market share of standard IT. typical IT spend over the terminal few years has averaged about 2% – three%. IBM’s revenues possess been declining at about -2%. moreover, IBM’s financials suggest that its strategic imperatives don’t look fondness improving its wallet share at consumers – reasonably, on account that standard revenues are contracting, it means that IBM is not even keeping up with its consumers’ shifting priorities.
(MENAFN - The dialog) it live incredible when companies ultimate for a long time – or much more than a century – and especially so when they're in a quick-altering industry fondness desktop expertise. IBM, which traces its roots to the Eighties , grew from three small businesses to a multi-billion-greenback counsel technology services enterprise today. Its u.s.a.and downs alongside the manner proffer some insights into the international know-how business, and may include some instructive classes for up-and-coming digital giants fondness Google, Amazon and fb – totality of which can live some distance younger than IBM.
In my novel e-book, ' IBM: the soar and drop and Reinvention of a world Icon ,' I explore the enterprise's history of developing and promoting statistics processing rig and software. As a former IBM worker and a historian , the most famous lesson I organize is that many people discombobulate incremental alterations in expertise with greater basic ones that definitely shape the route of a company's destiny.
there is a change between individual products – successive models of PCs or typewriters – and the underlying applied sciences that design them work. Over a hundred thirty years, IBM launched smartly over 3,600 hardware products and virtually the identical volume of utility . but totality these gadgets and functions were based on only a handful of actual technological advances, reminiscent of transferring from mechanical machines to people who relied on desktop chips and application, and later to networks just fondness the information superhighway. The transitions between those advances took set much more slowly than the consistent movement of latest items might indicate.
These transitions from the mechanical, to the digital, and now to the networked mirrored an ever-growing to live capacity to bring together and Use more desirable amounts of tips with no disaster and promptly. IBM moved from manipulating statistical records to the Use of applied sciences that train themselves what individuals want and are interested in seeing.a focus that may adapt
Between 1914 and 1918, IBM management decided that the enterprise the enterprise can live in become facts processing. in more coincident phrases, that company has become 'big information' and analytics. but it's nevertheless amassing and organizing data, and performing calculations and computations on it.
due to the fact that the early Twenties, IBM has taken a disciplined strategy to product pile and research, specializing in constructing the underpinning applied sciences for its statistics processing products. Nothing seemed to live performed accidentally.A blue IBM punch card. Gwern/Wikimedia Commons
In its first half-century, IBM's basic expertise platform from which many items emerged was the punch-card, yielding tabulators, card sorters, card readers and the famous IBM Card . In its 2d half-century, the primary know-how platform became the desktop, including mainframes, minicomputers, PCs and laptops. In its most recent 30 years, desktop sales possess brought in a declining share of the company's complete income, as IBM transitions to offering more web-based functions, including utility and technical and managerial consulting.
the soar of every succeeding know-how happened birthright through the maturity and decline of its predecessor. IBM first began promoting computer systems in the 1950s, but saved selling tabulating gadget that nevertheless used punch playing cards unless the early 1960s. As recently because the early Nineteen Nineties, over ninety % of IBM's revenues got here from promoting computer systems, notwithstanding it changed into introducing novel capabilities fondness management and procedure consulting, information expertise administration and software revenue.
It wasn't unless the conclusion of 2018 that IBM announced that fifty p.c of its traffic now got here from functions and application, most of which were novel choices developed in the previous decade.
The information media – and even IBM employees – can also possess perceived that IBM became transforming itself birthright now and regularly . basically the traffic had planted seeds for boom early and thoroughly tended novel technologies unless they bore fruit – happily, around the identical time as past techniques had been ending their profitable lives.
This strategic manner is not special – Apple has been promoting very own computers for more than forty years . Its management, of course, talks tons extra about its position in the smartphone enterprise, which is already soar to stage off . Apple may quickly want – or already live engaged on – a brand novel technological focus of attention to stay relevant.The future of the giants
Microsoft, fondness Apple, evolved faraway from promoting simply computer utility and working techniques. It begun internet-primarily based tasks fondness its Bing search engine and OneDrive cloud storage – as well as providing cloud-primarily based computing services for organizations.IBM is already exploring quantum computing, as a novel frontier of statistics processing. IBM analysis , CC by using-ND
corporations that begun on the cyber web may additionally additionally countenance an identical transitions. Amazon, Google and fb now and then declare to possess converted themselves, but haven't yet utterly left their routine businesses.
Amazon nevertheless makes most of its money selling actual gadgets online, even though its internet-based cloud features division is transforming into rapidly . Amazon has additionally invested in a wide array of alternative enterprise that might grow in the future, equivalent to fitness custody and entertainment content.
Google and fb still design most of their money promoting counsel about how users behave to advertisers and agencies that want to entice individuals to a particular factor of view. both are exploring different avenues, no matter if it's Google's self-driving automobiles or fb's experiments with virtual fact .
but at their core, totality three web giants are still finding novel tips on how to capitalize on the colossal quantities of information they accumulate about valued clientele' activities and hobbies – just as decades previous IBM discovered novel how you can Use tabulating device and computer systems. if they're to final decades or centuries into the long run, the companies will deserve to probe, experiment and innovate to find novel tips on how to earnings as applied sciences change.
IBM fb Google Innovation Amazon Alphabet MIT Press
In 2013, IBM had a wakeup call.
It lost an famous cloud deal at the CIA to AWS. IBM protested the contract exposing in the past private details. In a immoderate profile decision, referee Thomas Wheeler ruled against IBM despite the evident higher expense bid submitted by AWS. The bottom line is AWS’ cloud providing became seen as advanced to IBM’s.
less than twenty-four months into her tenure as IBM’s CEO, Ginni Rometty understood the crucial. IBM had to design a stagger to deserve into the general public cloud video game or it could live ignored in the bloodless, much fondness HP, Cisco, EMC, VMware, and different giant tech organizations on the time. IBM paid $2B to purchase Softlayer and has considering that converted the platform into a feasible providing from which it intends to re-write the cloud narrative.
right here’s a paraphrase of the premise effect forth by IBM’s Chairman and CEO at this week’s IBM suppose convention in San Francisco:
Chapter some of the cloud represented about 20% of the workload opportunity. It become largely about piteous loads of novel and consumer-dealing with purposes to the cloud. Chapter two is in regards to the challenging stuff. It’s about scaling AI and developing hybrid clouds. It’s about bringing the cloud operating mannequin to totality those mission-vital apps and enabling clients to control information, workloads, and apps and stagger them between dissimilar clouds. this is one trillion dollar haphazard and IBM intends to live #1.
IBM isn't alone in its aspiration. huge corporations fondness Cisco, VMware, and even HPE possess just a Little identical aspirations. As does ServiceNow and a bunch of smaller expert enterprises. and naturally, the public cloud giants including AWS and Microsoft possess their own concepts about Chapter 2 of the cloud period.
To pretension a leadership position in Chapter 2, IBM is spending $34B to acquire purple Hat. here's a astronomical circulation on the chess board and underscores that the IBM Cloud and a decade of attempting to commercialize Watson aren’t adequate to win the day. significantly it sees open source, Kubernetes, containers, microservices, and builders as a lynchpin to success in the subsequent chapter of the cloud.
a short assessment of Chapter One
There’s lots debate about who first created the term cloud computing. There’s Little doubt although that Jeff Barr’s blog effect up in the summer of 2006, saw AWS’ Elastic Compute Cloud, ushered in the up to date era of cloud - so-referred to as Chapter 1. In his effect up, Barr wrote:
With Amazon EC2, you don’t deserve to purchase hardware in enhance of your wants. instead, you simply turn up the dial, spawning greater virtual CPUs, as your processing needs grow.
His statement underscored the most basic value proposition of cloud - pay for less than what you Use model. This, of course, become the primary of a great number of improvements and services - totality attainable with the swipe of a bank card, to live dialed up on demand. Startups flocked and tapped world-type facts middle functions up to now simplest obtainable to great agencies.
The economic downturn of 2007-2009 led CFOs to mandate a shift from Capex to Opex and when the economy became up, corporations realized that their cloud journey enabled an Awful lot better agility. Shadow IT-powered the next section of boom and as “cloud creep” permeated the market - IT hopped on board and hasn’t seemed returned.
certainly, Microsoft modified itself to the cloud using the components of: 1) An open source attitude - alignment and aid (open compute, linux on .web, and so on.); 2) Cloudify totality issues Microsoft and making Azure, not windows, the focus of its universe; and three) bundling office 365 to exhibit salary from now not best IaaS but SaaS.
Joined with the aid of Google, which used its preeminent global search infrastructure to stake its declare in the cloud, the huge three paved the way for a novel fiscal mannequin in line with scale, innovation and automation, applying application economics to the concept of infrastructure deployment and management functions (See Figures 1 & 2 below).
Key elements within the Charts:
IBM’s prospects for Chapter 2 management rely on records
before diving into the purple Hat piece of the puzzle, they ought to element lower back to information. In their view, IBM is working closely with purchasers to construct a digital traffic material where data remains the underpinning of its approach to power a novel period of analytics based on AI. IBM sees statistics as a primary ingredient in bringing contextual relevance to company applications. What we’re seeing is as a result of IBM’s astronomical features traffic and deep trade handicap it’s earned the reform to assist shoppers construct digital networks and seriously change company fashions. IBM’s gigantic shoppers are getting this. They’re now not seeking to IBM to with no disaster bring services or comfy their infrastructure or sell them SaaS - significantly they’re looking for IBM to lighten them seriously change and carry novel traffic fashions. We’re seeing this in healthcare, fiscal services, agriculture, energy, assurance and basically totality industries through which IBM has a presence globally.
IBM’s probability as they remark it is to lighten businesses possess in mind how to design cash using information. not always through without slow promoting their records however determining the way to monetize records. What they remark IBM doing is taking what has been mostly piecemeal, data-oriented AI tasks and growing what Rometty calls “outside / In” - i.e. customer taste oriented functions and “internal / Out” - i.e. workflow and novel how you can work functions - each which contribute to foundation line consequences. greater importantly, IBM desires to support the client absolutely radically change their traffic operations.
to accomplish this, IBM is delivering a traffic platform - fueled by using facts, and a desktop intelligence platform - i.e. tooling and capabilities to extract cost from data and operationalize AI.
Enter purple Hat
IBM didn’t liberate any novel particulars about crimson Hat at consider, possibly as a result of regulatory concerns. but with pink Hat, IBM can allow a brand novel breed of utility builders - for organizations - using cloud-native tooling. information is the key ingredient to rising traffic functions and with crimson Hat in its portfolio, IBM can “cloudify” and “data-fy” organizations and position itself as coincident and important. more importantly, it could dramatically scale crimson Hat’s traffic globally.
pink Hat for IBM emerges as a automobile for generating spinoff leverage out of IBM ecosystem utility and industry capabilities. With RHEL, OpenShift and eight million red Hat builders, IBM can support its valued clientele modernize their application portfolios and transform enterprise operations...growing a brand novel breed of digital company builders.
agree with statements made by using Ginni Rometty and Jim Whitehurst totality through their mini roadshow after saw the pink Hat acquisition. Ginni saved saw “this isn’t a backend loaded deal.” What did she suggest? In their view, she become very nearly explaining the enterprise case for IBM paying a 60%+ top rate over red Hat’s stock expense earlier than the deal being introduced. mainly, IBM has a major effect in foundation of functions valued clientele (a $20+B captive probability in their estimate) at which it might probably element pink Hat PaaS tooling to modernize utility portfolios and build the long hasten digital enterprise platform for/with shoppers.
So out of the chute, IBM can automatically originate scaling pink Hat’s company, marrying deep traffic competencies, the sprawling IBM SaaS portfolio, the IBM Cloud (the set applicable), AI infused everywhere and red Hat PaaS to unite customer information, workloads, and functions to any cloud or on-prem installation.
long term, IBM can, together with its valued clientele, totally undertake modern application construction practices to codify its deep industry abilities and construct out transformative company and AI structures to assist incumbent organizations compete within the digital period.
The competitive panorama
if you don’t personal a public cloud, you retract tough after multi-cloud. To wit: VMware exited public cloud after years of trying to commercialize VCloud Air. It at terminal settled on a deal with AWS and sold off its public cloud. VMware is Dell’s ace within the hole for multi-cloud. Cisco lately introduced its multi-cloud approach at Cisco reside Barcelona which comes at the problem from a strong set in networking. As networks flatten - Cisco can also live the glue between clouds with software administration and orchestration framework for networked records-- no longer a foul strategy. HP tried and failed in the public cloud game and HPE is making an attempt to live a provider of multi-cloud functions however is essentially counting on packaging its hardware, features and some minimal utility content.
of those players, only Cisco has any meaningful presence with developers. IBM with pink Hat receives entry to eight million devs.
As such, IBM has a more robust position than these gamers-- albeit greater complicated. It owns a public cloud presence and while not basically as astronomical as AWS in IaaS, IBM has a great SaaS portfolio. fondness Oracle, it doesn’t requisite to compete for commodity enterprise in opposition t AWS, reasonably it can sell cost “up the stack” the Use of SaaS as a excessive-price play. As smartly, it’s AI runs on the cloud and it just announced at believe that it’s opening up Watson to hasten on any on-prem, public or hybrid cloud (a long overdue circulate in their opinion). previously, in case you desired Watson you could most efficacious deserve it on IBM’s cloud.
Microsoft obviously could possess its enlighten in Chapter 2 of the cloud. With its acquisition of GitHub and massive application property, combined with a leading cloud at scale, Microsoft holds lots of playing cards. it is investing in AI and has a robust records perspective.
Google Cloud is resetting with novel administration and is taking share in the lengthy video game. It certainly has AI chops and a robust records perspective.
Then there’s AWS. Amazon’s announcement of Outposts indicates that it will probably and should evolve and alter its spots. today, AWS makes a strong case for a single versus a multi-cloud approach - arguing that multiple clouds are less comfortable, extra knotty and more expensive. whereas credible in its position, the reality is multi-cloud is fondness multi-supplier. There’s now not a procurement czar inner of every enterprise with a view to prescribe a single cloud. As such if AWS sees an opportunity to control dissimilar clouds it will enter the belt in their view.
the brand novel “innovation cocktail” combines records + AI + Cloud. a standard facts mannequin brings a aggressive talents in the digital world. desktop intelligence (AI) utilized to statistics drives insights and cloud permits scale and attracts innovation via ecosystems. IBM is combining these three points to compete within the next chapter of technology traffic increase.
IBM, fondness Microsoft, is cloudifying its offerings to usher its purchasers’ digital transformations. with the aid of bringing the cloud to its products, pile records networks with clients, applying AI in every single set and leveraging purple Hat, it might catalyze a novel type of traffic developers and retract complicated after the multi-cloud haphazard that exists.
We believe, youngsters, that the multi-cloud world can live messy. these days, multi-cloud is as an Awful lot a multi- (cloud) supplier prevalence versus a deliberate strategy. nonetheless, buyers will continue to opt for horses for classes - that means the arrogate cloud for the birthright workload - and for you to inevitably lead to assorted clouds and alternatives for simplified management, security, governance, and statistics leverage.
these days, about half of IBM’s income comes from so-referred to as Strategic Imperatives. That piece must grow sooner than the other half declines. in addition, about sixty percent of IBM’s revenue comes from consulting and expert functions. The first rate tidings there's it offers IBM deep visibility and relationships into practically totality world industries. The draw back is that company doesn’t scale as well. As such IBM’s surest energy is its highest quality challenge. The pleasing opportunity dealing with IBM is to codify that deep traffic expertise in utility, the Use of statistics as the key ingredient for brand novel company functions constructed on cloud-native PaaS tooling - and scaling to the cloud, any cloud.
this is a differentiable fable and one that protects IBM from getting Amazon’d while on the identical time permitting the enterprise to force margin improvements over time. IBM’s Rometty has spent the terminal 5-6 years preparing the enterprise for this next chapter.
Now astronomical Blue must betray that Elephants can dance, dash and hasten marathons.
comply with the entire IBM believe 2019 reside video coverage birthright here: https://www.thecube.net/ibmthink2019
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The Distributed Management Task force has released a novel specification designed to simplify cloud infrastructure management and ensure that workloads can live easily moved among different cloud environments.
Many organizations view cloud computing, an on-demand model that focuses on the pooling and sharing of compute resources, as a way to design more efficient Use of IT operations over time. However, as the market for cloud services has grown, cloud vendors possess introduced their own interfaces that let users hasten private clouds.
DMTF has developed Cloud Infrastructure Management Interface version 1.0 as a self-service interface for infrastructure clouds, which will let users hasten virtual servers across different hardware platforms.
CIMI has broad industry support, with companies such as Oracle and Red Hat submitting their application programming interfaces as consideration for the standard, said Winston Bumpus, chairman of the board of DMTF. taste with existent cloud issues has been factored into the standard, he noted.
CIMI is not seen as a replacement for vendors’ interfaces but, in the way the Lightweight Directory Assistance Protocol serves as a standard for organizing data within databases that succeed the LDAP standard, the novel specification will forge more interoperability between cloud providers, Bumpus told GCN.
The National Institute of Standards and Technology has led efforts within the federal government to lighten foster greater interoperability, portability and security standards for cloud environments. DMTF has been working closely with NIST on the U.S. Government Cloud Computing Technical Roadmap and associated reference architectures, Bumpus said.
CIMI V.1.0 includes two components: the CIMI Model and rest Interface over HTTP Specification and CIMI Primer.
The CIMI specification is the centerpiece of DMTF’s Cloud Management Initiative and is the first standard created by the Cloud Management Working Group (CMWG).
DMTF’s Cloud Management Initiative includes contributions from additional working groups including the Cloud Auditing Data Federation Working Group, the Network Services Management Working Group, the Software License Management Incubator and the System Virtualization, Partitioning, and Clustering Working Group. Additional announcements are expected from DMTF cloud-related working groups early next year.
Officials from Broadcom, CA Technologies, Citrix, Fujitsu, Hewlett-Packard, IBM, Oracle, Red Hat, VMware, and SunGard announced support for CIMI v1.0
Rutrell Yasin is is a freelance technology writer for GCN.
5698-SAL IBM Tivoli(R) System Auto for Multiplatforms V1.2.0Effective on January 11, 2006, IBM will withdraw from marketing the following parts licensed under the IBM IPLA.
Program share PartProgram name number description number
IBM Tivoli 5698-SAL IBM Tivoli D520XLLSystem Auto Systemfor AutomationMultiplatforms MltpltfV1.2.0 zSeries(R) ProcLic+SW Maint12 Months
IBM Tivoli 5698-SAL IBM Tivoli E00M8LLSystem Auto Systemfor AutomationMultiplatforms MltpltfV1.2.0 zSeries ProcAnnual SWMaint Rnwl
IBM Tivoli 5698-SAL IBM Tivoli D520ZLLSystem Auto Systemfor AutomationMultiplatforms MltpltfV1.2.0 zSeries ProcSW MaintReinstate12 MonthsOn or after that date, you can no longer obtain the withdrawn share numbers directly from IBM. They may live obtained on an as-available basis through IBM authorized remarketers.
None. These IBM zSeries share numbers are no longer required. Customers may order the standard license share numbers.
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Refer to the software support Web site for product support information
http://3.ibm.com/software/support/Technical support is available. The finish of support for these products will live announced a minimum of 12 months before the termination.
Tivoli, the e-business logo, and zSeries are registered trademarks of International traffic Machines Corporation in the United States or other countries or both.
Other company, product, and service names may live trademarks or service marks of others.Related Thomas Industry Update
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Many questions arise at the mention of the Security Content Automation Protocol (SCAP): What is it, how does it...
work, and how can it live useful for an enterprise?
This tip is intended to proffer some background on what SCAP is and when and how an organization would profit by relying on this protocol to enhance enterprise security.
What is SCAP?According to SCAP NIST guidance (.pdf), SCAP -- pronounced as either "S-CAP" (ESS'-cap) or as each epistle individually: S-C-A-P -- is:
"…a suite of specifications that standardize the format and nomenclature by which security software products communicate software flaw and security configuration information."
SCAP was developed to 1) organize, 2) express and 3) measure security information in standardized ways, thus providing an automated approach to maintaining the security of enterprise systems.
More specifically, the NIST guidance lists three ways in which SCAP can live used to maintain the security of enterprise systems, including:
The primary driver for SCAP's evolution is to lighten organizations that requisite to comply with the U.S. Federal Desktop Core Configuration (FDCC) and the United States Government Configuration Baseline (USGCB)1 initiative, which has evolved from the Federal Desktop Core Configuration mandate requirements. SCAP-validated scanning tools can live used to scan affected systems and provide reports regarding whether those systems are compliant with FDCC. This is a time-saver and will lighten organizations live more readily prepared for audits that require FDCC compliance.
SCAP has two major elements:
First, it is a protocol. SCAP is a suite of four open specifications that standardize the format and nomenclature by which software communicates information about publically known software flaws and security configurations annotated with common identifiers and embedded in XML. Essentially this is a means of establishing some automated "on/off" switches when checking to remark if a server or desktop is compliant with the standard in question. This is practical because the output is a standardized, non-proprietary format that can live used across different organizations. Each specification is known as an SCAP component. (NIST also gives more information on SCAP v1.0 components.)
So, there's SCAP content (i.e., reference data) and SCAP components (i.e., security specifications). In order to design these work effectively, the SCAP authors possess integrated the SCAP content and the SCAP components into SCAP-expressed checklists that Use a standardized language to express what platform is being discussed (think Common Platform Enumeration (CPE)) and what security settings should live addressed (think Common Configuration Enumeration (CCE)). It would also live feasible to Use the checklists in a manual manner to set up the system in question. However, the number of settings is substantial, and, as such, an automated system fondness SCAP is preferred.
The National Checklist Program (NCP) website is the repository for SCAP-expressed checklists.
An specimen of a checklist page from this website for FDCC Windows XP is shown in pattern 1 below:
Click to enlargeFigure 1: Checklist for FDCC Windows XP
As a note, if you recognize at the Supporting Resources section of this page, there is a "Human Readable" or "prose" version of the settings that, when downloaded, provides a spreadsheet of the policy setting and name, the CCE reference, the registry setting, as well as the description and what the Federal Desktop Configuration should live for each policy (e.g., Disabled, Enabled, etc.). An specimen of the spreadsheet is shown in pattern 2.
Click to enlargeFigure 2: Human Readable Version of FDCC Settings
Each checklist is assigned a tier relative to its automation operability as pertains to the SCAP protocol. The tiers are designated as I - IV.
Tier I checklists are prose-based, i.e., narrative descriptions of how a person can manually alter a product's configuration.
Tier II checklists tend to list the recommended security settings in a proprietary, machine-readable format.
Tier III checklists Use the SCAP protocol to document their recommended security settings in machine-readable, standardized SCAP formats.
Of note, organizations obligated to comply with federal mandate for SCAP are required to Use the highest tier for their computer security automation. Also, there are plans for a Content Validation Program to allow vendors or anyone else to possess their content posted to the NVD as Tier III or Tier IV content. However, a date for when this will live implemented is not currently available.
How can an enterprise entrap handicap of SCAP?According to NIST, organizations interested in taking handicap of SCAP tools (.pdf) should adhere to the following recommendations as famous in the publication:
Use SCAP-expressed security configuration checklists to automatically ameliorate and monitor a system's security. The SCAP-expressed checklists lighten automatically generate assessment and compliance evidence and can live downloaded from the National Checklist Program website referred to above. It is famous to note, however, that the current version of SCAP does not fix or reform any discrepancies famous between actual configuration and the checklist –- that is anticipated for future SCAP tools and is already in some proprietary applications.
Take handicap of SCAP to demonstrate compliance with high-level security requirements that originate from mandates, standards and guidelines, such as FDCC. This also can lighten an agency live better prepared for a FISMA audit.
Use standardized SCAP enumerations, identifiers and product names such as Common Vulnerabilities and Exposures (CVE), Common Configuration Enumeration (CCE) and Common Platform Enumeration (CPE) nomenclature. In other words, Use a common language so descriptions of vulnerabilities or exposures operate with the identical terminology and reference the identical MITRE CVE/CCE/CPE database. This allows organizations to better understand the system vulnerabilities and affected configurations when cross-talking between organizations and referring to security-related software flaws, security configuration issues and platforms.
Use SCAP for quantitative and repeatable vulnerability measurement and scoring through the combination of Common Vulnerability Scoring System (CVSS), CVE and CPE. Because SCAP does provide for some scoring during the analyses, you can Use the scores to plot and establish trends, comparisons, etc.
Acquire and Use SCAP-validated products. U.S. Federal agencies and those companies supporting U.S. government agencies must Use SCAP-validated FDCC scanners for testing and assessing FDCC compliance.
Of note, NIST has established both an SCAP product-validation program and a National Voluntary Laboratory Accreditation Program (NVLAP). These programs are coordinated to ensure the SCAP products are effectively tested and validated to conform to SCAP requirements. NIST maintains a list of accredited laboratories and currently validated products. A graphic showing some of the currently validated products is shown in pattern 3.
Click to enlargeFigure 3: SCAP Validated Products (Examples)
In addition to the NIST SP 800-117 suggestions above, Karen Scarfone, a computer scientist and project manager with NIST, gave an excellent SCAP Overview Presentation (.pdf) that famous these common uses of SCAP:
Perform security configuration verification: Here you can Use an SCAP-expressed checklist and compare it to a system's actual configuration. You can verify and audit a system before deployment using these checklists. Also, you can map individual system settings to high-level requirements such as FDCC, etc. using the checklist capability.
BenefitsSCAP is piteous along and is being implemented primarily due to federal mandate by the U.S. Office of Management and Budget. SCAP v1.0 is being adopted and products are being developed and tested for accreditation by NIST-approved laboratories. Version 1.1 was expected in late 2010 and candidate specifications for version 1.2 are already under review, per Karen Scarfone.
What are the potential organizational benefits of using SCAP? Here are a few:
By using SCAP, you can augment automation and reduce manual endeavor to obtain assessment results, determine those corrective actions needed and thus provide substantial cost savings.
Because you are using the common language mandated by SCAP, the resulting XML-coded results will allow for easier communication of results across the other SCAP system users. Also, this will allow for easier comparison of issue sets between security organizations because the vulnerabilities are described using the identical codex of CVSS, CVE and CPE.
By using SCAP-validated products, organizations are more likely to live better prepared for FDCC audits.
I suspect they will totality hear more about SCAP implementation in the future, and, with the newer versions of the protocol, there will live even more potential benefits for automated security.
1The United States Government Configuration Baseline (USGCB) will live the successor to FDCC and will contain Win 7 as well as other operating system coverage fondness Red Hat, Solaris, etc… when their content is finalized. USGCB is expected to live incorporated into SCAP 1.1.
About the author:Ernest N. Hayden (Ernie), CISSP, CEH, is an experienced information security professional and technology executive , providing thought leadership for more than 10 years in the areas of information security, cybercrime/cyberwarfare, traffic continuity/disaster recovery planning, leadership, management and research. Based in Seattle, Hayden holds the title of “managing principal – energy security” at Verizon’s Global Energy & Utilitiespractice, devoting much of his time to energy, utility and smart grid security on a global basis. Prior to his current position at Verizon, Hayden held roles as an information security officer/manager at the Port of Seattle, Group Health Cooperative (Seattle), and Seattle City Light. Hayden’s independent advice does not necessarily reflect totality positions held by Verizon. Read more of Hayden’s expert adviceon his contributions to the Verizon assume Forward blog. Submit questions or comments for Ernie Hayden via email at email@example.com.
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