Here is map of the Coronavirus COVID-19 global cases by the Center for Systems Science and Engineering (CSSE) at Johns Hopkins University. It is a very helpful interactive graphic to better ubderstand the virus trends globally.
Disconnect Bing and Cortana online services from Windows 10 search.
Sensitive data has a considerable economic value to businesses and they must manage it appropriately. Protecting that data is of utmost concern because organizations risk substantial fines from regulators or damaging its brand reputation (Yahoo, Marriott, Equifax, etc.). As result, organizations are primarily driven to protect their network because of the sensitive data they store.
At the core of all successful data security management programs are an automated data discovery process which can accurately locate sensitive data so that it can be most effectively managed and protected. Generally most of that sensitive data are stored on workstations, file servers, database's and cloud repositories and the breadth of where data can be stored has grown significantly from just a few years ago. The exceedingly large number of individuals involved in the handling of sensitive data makes appropriate data management very challenging. It's obvious you can't protect these assets unless you know where this sensitive data resides.
In my 20+ years of operational data management and security, the most successful data management and governance programs have included a unified set of information security tools and a governance and compliance process. This process will include many components for its success however the most effective components in this process generally involve a good user awareness of the sensitive data used, the data classification or sensitivity of the data, a data governance process which includes policy, best practices, and standards, and IT systems used to augment data security protection strategies. With these key processes in place an organization can be most successful and meet internal IT policy, governance, regulation, and compliance needs.
The most effective data management protection programs consist of the ability to report on the location of and types of sensitive data. There isn't a single best process or tool to protect any network however there are numerous technologies including DLP, Firewall, Encryption, Patch Management, IDS, Antivirus and most importantly a Data Discovery mechanism. The most effective approach to good data hygiene and the protection of sensitive data is to know what it is your protecting and to what extent to leverage those IT security processes. With the effective use of a data discovery tool you can complement and extend your data protection stance, the core of all these processes being a data discovery toolset such as the Spirion Sensitive Data Management. The following demonstrates how having a sensitive data discovery process can complement your existing data security posture.
DLP – These technologies can protect sensitive data in motion, however are inundated with false positives and require considerable resources to manage. Complement and extend the DLP's capabilities by augmenting it with a at rest data discovery tool like Spirion so that the data can be more accurately discovered and leverage the persistent meta tags imbedded in that sensitive data to more accurately accomplish the data in motion protection process.
Firewall – This is the most common type of technology used. However knowing exactly which file server(s) contains the most sensitive (PCI, CCPA, GDPR, PII, etc) data allows the most effective use of FTE resources to more granularly define those firewalls and comply with regulators compensating control requirements. It's imperative to know what it is you're protecting to be successful at protecting access from those users or application that should not have it.
Encryption – Identifying what really needs protected through encryption will reduce the complications of managing various data repositories.
Patch Management – Which storage devices do we need to be more aggressive with patching when a zero day occurs?
Intrusion Detection (IDS) – What sensitive data was on the device when the intrusion occurred!?
Antivirus – What sensitive data was on the device when the malware infected your device with the Trojan six weeks ago?
Sensitive data management is not solely an internal IT security or policy driven process. Effective data management involves people, process, and technology. Good governance of this data is achieved when you can report on where and what types of sensitive data are being stored. Being able to do so will help with avoiding those costly mistakes and damage to a company's reputation.
This is a People, Process, and Technology driven challenge and the value of sensitive data discovery extends beyond the IT management of data. Data discovery tools are most useful in the compliance and regulation landscape. A data discovery tool will reveal what sensitive data was on a compromised, lost, or stolen device months ago should the situation arise which allows an organization to react more favorably to legal, compliance, or IT security process. Should a PCI audit occur you can work with a QSA to scope those devices under the PCI umbrella. If your organization must comply with GDPR, CCPA, or any number of US state laws and you receive a DSAR request you can act on that. The scope of value gained by having a process at the center of all sensitive data discovery is most valuable.
Data has grown exponentially in size and complexity and having an automated data discovery and reporting process is essential to be successful. New privacy regulations are being implemented around the globe at an increased pace and not all are prescribe identical requirements however all share a common requirement; know where and what sensitive data is being stored. Plan ahead and have a data discovery tool in place!
CCPA will take in effect January 1st of 2020, however you still need to know what and where that data was 1 year previous. GDPR has been in effect since May 25th, 2018 and you have already seen huge fines for noncompliance. The NY SHIELD Act is very similar in scope to CCPA, along with numerous other state data protection laws that have emerged in just the first 6 months of 2019 (See US State Data Protection Laws data sheet).
With so much more to consider in the data management governance, regulation and compliance landscape it can be overwhelming to decide where to start. More to come on that!
I welcome your feedback and look forward to your different perspectives?
We all use SSO in many ways such as when a user logs into their desktop, then opens Microsoft Outlook, Microsoft Lync, and other applications without providing additional credentials, this is an SSO process. SSO process is used for web applications such as Google, LinkedIn, Twitter and Facebook, all of which offer popular SSO services that allows you to log into one application and also the others using their social media authentication credentials.
Using SSO for an Enterprise process such as Spirion provides a great value to organizations.
Because Spirion supports SAML Single Sign-On, many organizations can use the Microsoft MFA to push to devices for sign in. This industry standard protocol empowers customers to use their own Azure identity management system for authenticating users of the CenturyLink Control Portal.
Now, with the addition of the Require SAML for Login option provided by Control Portal, customers can force users to authenticate through their identity providers to enable additional identity management features like multi-factor authentication (MFA) and user provisioning. This way, the CenturyLink Cloud platform can provide flexible, standards-based capabilities while allowing an organization to keep the nuts-and-bolts of their IdM configurations in their pre-existing systems.
For more details and how SAML works in general and how to specifically setup an ADFS IdP for use with Control Portal, refer to Using SAML for Single-Sign-On.
A Data Subject Access Request (DSAR) is a process in which a subject (Individual) requests through electronic process (e-mail, phone call, or web contact form) or physical visits to obtain a copy of their personal data.
Most organizations will collect information about individuals through its normal business practice. For example financial institutions or airlines will collect the name, DOB, Age, Address and various other required information about an individual, all of which are legitimate business practices. However over the life of those accounts additional information may be collected during customer service interaction or other touch points adding additional information to what has already been collected. In some scenarios this information is also shared with third party business that may service those accounts or through solicitation practices such as airline discounts and preference for new credit cards. Organizations will expectantly lose track of what has been collected due the complex process and distributed data collection practices.
With the new regulations such as GDPR, CCPA, and various other US state laws which protect individuals rights, it's now required that organizations be able to provide what data has been collected to individuals requesting this through a data subject access request.
The DSAR process starts when a request is received by an individual which is then forwarded to the data protection officer or as appropriate for the organization that collects that data. The office handling this requests will respond for proof of that customer's identity and begin the process of collecting pertinent data to fulfil the request.
In addition to requesting proof of identity the customer will also need to provide a valid reason why the customer is asking for this information. Common reasons may such as debt consolidation practices, financing, audits, credit disputes, identity theft, etc., and those companies must be able to find that data otherwise are subject to large regulation fines.
Once this process has completed the DSAR must be fulfilled "without undue delay", typically within 30 days of receipt. The DSAR requests can be extended in rare cases when the scope of data to be searched will take longer than the physical limits of the technologies to meet these deadlines, however this process must already be in place. The overall DSAR process is typically handled by that organizations legal and data protection authorities.
To facilitate the process most effectively Spirion is used to search for locations to look across various data repositories and identify what data is personally identifiable and to whom it belongs. Spirion can be leveraged to search for these types of custom data which frequently include the name of the individual, Address, DOB, phone number, or perhaps data more specific to the organization collecting the data such as client ID, etc.
Deciding where to search and the relative size of the search has to be reasonable in order to fulfill the request within the timeframe given. It requires organizations the ability to scan at scale; all searches take time, so plan ahead and have a process in place. There are numerous factors which will impact the DSAR scan such as the various data composition (images, text, etc.) and the performance of the systems being scanned. Because every company's data composition is different it's important to be in front of the process and have a solution like Spirion in place.
This includes tools used to integrate with Spirion such as OneTrust which is partner tool used to further expand on the technologies of what Spirion delivers. Spirion provides expansive abilities to accurately discover sensitive data, classify the data, and provide reports for the locations and type so sensitive data. A tool such as OneTrust then expands upon those capabilities by providing further governance, regulatory, and compliance processes to meet the stringent requirements of the regulators. Spirion provides data with the appropriate bulk report formatting to digest and extend the capabilities and satisfy DSAR requests and data mapping.
Specializing in security architecture and data management.Twenty years as an IT professional with focus in data security and operational data security risk reduction.Real world solutions implementation experience in large and complex environments.
Will discuss the critical steps and fundamentals in protecting sensitive data against data leaks. Narrowing the project scope and creating data awareness is critical for a security programs success. Will discuss an approach to the implementation of a data steward project and implementing technical automation to help drive information worker security awareness and concentrating resources on protecting critical systems with personally identifiable information (PII).
When accessing a server through Windows Admin Center you receive the following Connection Error.
Open the inbound port TCP 5985.
Windows Admin Center provides a self-signed certificate that is valid for 60 days, after that your browser accessing the console ill generate access errors when authenticating. To avoid this you can create a new certificate to enable year-long certificates and also used to install on the desktops accessing the console.
This process will enable you to browse to the Windows Admin Center with a valid TLS RSA AES-256 bit encryption certificate "HTTPS" connection. This will reduce the number of password prompts and secure your connection.
In Windows Server 2019, a new set of features is available from within IIS among some I mention here:
HTTP/2 provides for faster and safer Web browsing as result of new IIS hosting features. Originally, Serer 2016 added support for HTTP/2 in the native HTTP server. Windows Server 2019 delivers performance and security benefits to your web site deployments with HTTP/2. HTTP/2 is a rework of how HTTP semantics flow over TCP connections for Windows Server 2016. This is a major upgrade after nearly two decades of HTTP/1.1 use and reduces the impact of latency and connection load on web servers. The major advance of HTTP/1.1 was the use of persistent connections to service multiple requests in a row. In HTTP/2, a persistent connection can be used to service multiple simultaneous requests. In the process, HTTP/2 introduces several additional features that improve the efficiency of HTTP over the network.
Using HTTP/1.1 each request required a dedicated TCP connection potentially imposing several round trips to establish that connection. Using HTTP/2 further improves this process by allowing the ability to share a single TCP connection across many requests to the same web site called multiplexing.
From within IIS there is an option to Disable HTTP/2, do not do it!
HTTP exchanges typically employ many HTTP headers which many times represent much more data than the actual payload. HTTP/2 uses HPACK, a header compression scheme built explicitly for HTTP Header compression. This drastically reduces the amount of data that needs to be exchanged between client and server which may also save on round-trip times.
Everyone registered with the National Health Service (NHS) in England, Wales and the Isle of Man has a unique patient identifier called an NHS Number. The modern style of NHS number was generally introduced in 1996 and one allocated to every newborn since July 1995 and becoming mandatory on 1 April 1997.
The NHS Number helps healthcare staff and service providers identify you correctly and match your details to your health records. The number will appear on most official documents.
Each NHS Number consists of up to 10 digits shown in a 3-3-4 format. Those having NHS numbers following in the format XXXX 999 are no longer valid.
In the NHS example above "9434765919" is used for the following below validation.