Next-generation, AI/ML-based security analytics
Comprehensive SOC, SIEM solution delivers compliance benefits for pharma major along with reduced MTTR, MTTD and single-pane visibility for hybrid and multi-cloud infrastructure
Project Objective
To build a Security Information And Event Management (SIEM) solution, which supports threat detection, compliance and security incident management through the collection and analysis (both near-real-time and historical) of security events, as well as a wide variety of other event and contextual data sourcesβ
Project Model
Platform as a Service (PaaS) Modelβ
Sifyβs Uniqueness
To keep up with ever-evolving cyber threats, Sifyβs Technology Innovation Center works continuously to improve security processes and solutions.
Integrated Value and Outcome
- Central SOC operated from Chennai with platform hosted at Airoli and Bengaluru for DC and DR respectivelyββ
- Simplified licensing that is device-based, hence offers predictable billing. No need to worry about EPS spikes anymore.β
- Meets next-generation SOC requirements with the addition of UEBA and SOARβ
- MITRE ATT&CK framework-based threat mappingβ
- Wide range of compliance auditing and management reports, including PCI-DSS, HIPAA, and SOX β
Value for Client
Sify provides complete next-generation SIEM components for the client to meet their security monitoring and compliance requirements. Clients benefit from single-pane-of-glass visibility for their hybrid and multi-cloud infrastructure security monitoring with improved MTTD and MTTR.βββ
How Data Center works (and how theyβre changing)
A Data Center is usually a physical location in which enterprises store their data as well as other applications crucial to the functioning of their organization. Most often these Data Centers store a majority of the IT equipment β this includes routers, servers, networking switches, storage subsystems, firewalls, and any extraneous equipment which is employed. A Data Center typically also includes appropriate infrastructure which facilitates storage of this order; this often includes electrical switching, backup generators, ventilation and other cooling systems, uninterruptible power supplies, and more. This obviously translates into a physical space in which these provisions can be stored and which is also sufficiently secure.
But while Data Centers are often thought of as occupying only one physical location, in reality they can also be dispersed over several physical locations or be based on a cloud hosting service, in which case their physical location becomes all but negligible. Data Centers too, much like any technology, are going through constant innovation and development. As a result of this, there is no one rigid definition of what a Data Center is, no all-encompassing way to imagine what they are in theory and what they should look like on the ground.
A lot of businesses these days operate from multiple locations at the same time or have remote operations set up. To meet the needs of these businesses, their Data Centers will have to grow and learn with them β the reliance is not so much on physical locations anymore as it is on remotely accessible servers and cloud-based networks. Because the businesses themselves are distributed and ever-changing, the need of the hour is for Data Centers to be the same: scalable as well as open to movement.
And so, new key technologies are being developed to make sure that Data Centers can cater to the requirements of a digital enterprise. These technologies include β
- Public Clouds
- Hyper converged infrastructure
- GPU Computing
- Micro segmentation
- Non-volatile memory express
Public Clouds
Businesses have always had the option of building a Data Center of their own, to do which they could either use a managed service partner or a hosting vendor. While this shifted the ownership as well as the economic burden of running a Data Center entirely, it couldnβt have as much of a drastic effect to due to the time it took to manage these processes. With the rise ofΒ cloud-based Data Centers, businesses now have the option of having a virtual Data Center in the cloud without the waiting time or the inconvenience of having to physically reach a location.
Hyper converged infrastructure
What hyper converged infrastructure (HCI) does is simple: it takes out the effort involved in deploying appliances. Impressively, it does so without disrupting the already ongoing processes, beginning from the level of the servers, all the way to IT operations. This appliance provided by HCI is easy to deploy and is based on commodity hardware which can scale simply by adding more nodes. While early uses that HCI found revolved around desktop virtualization, recently it has grown to being helpful in other business applications involving databases as well as unified communications.
GPU Computing
While most computing has so far been done using Central Processing Units (CPUs), the expansive fields of machine learning and IoT have placed a new responsibility on Graphics Processing Units (GPUs). GPUs were originally used only to play graphics-intensive games, but are now being used for other purposes as well. They operate fundamentally differently from CPUs as they can process several different threads in tandem, and this makes them ideal for a new generation of Data Centers.
Micro segmentation
Micro segmentation is a method through which secure zones are created in a Data Center, curtailing any problems which may arise through any intrusive traffic which bypasses firewalls or. It is done primarily through and in software, so it doesnβt take long to implement. This happens because all the resources in one place can be isolated from each other in such a way that if a breach does happen, the damage is immediately mitigated. Micro segmentation is typically done in software, making it very agile.
Non-volatile memory express
The breakneck speed at which everything is getting digitized these days is a definitive indication that data needs to move faster as well! While older storage protocols like Advanced Technology Attachment (ATA) and the small computer system interface (SCSI) have been been impacting technology since time immemorial, a new technology called Non-volatile memory express (NVMe) is threatening their presence. As a storage protocol, NVMe can accelerate the rate at which information is transferred between solid state drives and any corresponding systems. In doing so, they greatly improve data transfer rates.
The future is here!
It is no secret that Data Centers are an essential part of the success of all businesses, regardless of their size or their industry. And this is only going to play a more and more important factor as time progresses. A radical technological shift is currently underway: it is bound to change the way a Data Center is conceptualized as well as actualized. What remains to be seen is which of these technologies will take center stage in the years to come.
Reliable and affordable connectivity to leverage your Data Center and Cloud investments
To know more about Sifyβs Hyper Cloud Connected Data Centers β a Cloud Cover connects 45 Data Centers, 6 belonging to Sify and 39 other Data Centers, on a high-speed networkβ¦
The trends and technologies shaping the future of Contact Centers
Contact Centers are in a state of constant evolution! With customer engagement rated as one of the most critical factors for the success of a product or service, businesses are striving to perfect the customer care scenario every single day. In this race to keep customer loyalty, companies are turning to technology to deliver exceptional customer service.
In the last couple of years, to keep up with the changing needs and behavior patterns of buyers, Contact Center technology has evolved considerably. We take a closer look at some of the latest trends in the field.
The trends and technologies shaping the future of Contact Centers
Digital Transformation of Customer Services
The digital way of working has now been fully embedded into the business operations of most companies. As newer technologies such as cloud, web based applications, mobility, and data analytics change the business landscape they also have an impact on how contact centers are operated. Adoption of these technologies, especially the move to cloud platforms, has resulted in altering the entire cycle of customer engagement β from dealing with the first client contact occurring across multiple channels to providing intelligent, data analysis backed the resolution to customer issues.
Omni channel Models
From traditional phone calls to social media messages β Customers are using a variety of communication channels to approach businesses. Needless to say, businesses are also turning to a more holistic customer engagement approach that uses unified Omni-channel communication models βΒ bringing text, phone, chat, email, social, video calls, etc. under one umbrella βΒ to provide a more personal and satisfying experience to the customer.
Analytics and Customer Satisfaction
To consistently deliver exceptional customer experiences, businesses need to consider more than the final resolution of the customer requirement; it is imperative to keep a check on the customer experience during the journey towards resolution and overall quality of the calls. This can be achieved by using analytical tools to improve the Contact Center operations. Customer care centers are using real time reports and monitoring solutions to keep a check on engagement quality and are also incorporating cutting edge analytical tools to study behavioral patterns in speech, text or chats to predict customer behavior.
Remote agents
With reliable web based communication tools and access to real time monitoring Contact Centers are now employing more and more remote agents; thereby efficiently managing different time zone requirements while reducing overhead costs.
Artificial Intelligence
AI, the latest buzzword in the IT landscape, is now being tested and incorporated in Call centers as well. AI algorithms are mainly being used to analyze call data and historical records to foretell customer behavior β producing dependable results in minutes, something that would have taken an analyst days to complete. AI technology is also being explored to place virtual call agents to handle some of the more repetitive and simpler customer interactions.
Going ahead, companies and consumers alike will be putting more and more emphasis on customer care as a brand differentiator rather than as a support function. Although recruiting and training agents form a vital part of call center operations; to stand out companies are exploring technology integrations to make their operations more efficient. And while technologies like Artificial Intelligence are still being developed and implemented, sophisticated cloud based offerings such as CCaaS (Contact Center as a Service) are proven models, which bring an added level of productivity with enormous cost benefits to traditional Contact Centers.
As Indiaβs leading fully converged ICT Company, Sify is using its decades of experience in network and Data Center services to present the most comprehensive Contact Center as a Service platform in India.
Our extensive expertise has allowed us to craft a service offering, which is highly flexible, scalable and future proof. Sifyβs CCaaS provides all Contact Center applications under one umbrella-from branch connectivity and video conferencing to 100 % reliable voice calls. Delivered via the cloud, Sifyβs CCaaS is a multi channel platform, which can easily meet the most exacting contact center requirements.
