Perhaps one of the defining characteristics of today's AI era is not the technology itself, but the technology partnerships that drive business outcomes for clients. The IBM and Cognizant merger is one example.
IBM is a well-known multinational technology company, and Cognizant is an IT consulting specialist that has been helping clients modernize their technology for 30 years.
This partnership between Cognizant and IBM brings together talent with expertise from a century of business and combines it with new talent to efficiently address some of your most pressing challenges using more intelligent technology. I'll deal with it.
During our conversation, it became clear that Cognizant and IBM's partnership is one of great intent, especially when it comes to enterprise cybersecurity.
Pawan Gupta, Senior Director of Global Security Services at Cognizant, and Dr. Sridhar Muppidi, IBM Fellow and CTO at IBM Security, join this conversation to discuss how their partnership can add offensive and defensive power to enterprise cybersecurity capabilities. Emphasize what both provide power.
Mr. Gupta highlights significant changes in the company's operating model and collaborative approach.
“We are totally focused on our service delivery capabilities and are known for it. Our resources are well-trained and tailored to our customers' needs. Last 4-5 One of the things that has changed at Cognizant in 2018 is the way we connect with our partners. and partners,” says Gupta. “This growth in our partner base is not necessarily about our cybersecurity practice, but Cognizant as a whole and everything we do.”
As Gupta explains, Cognizant's approach to partnerships has changed in recent years. “We are currently growing together with our partners, provisioning solutions using products that exist in their networks, and we will continue that strategy going forward.
“This is one of the reasons Cognizant and IBM have maintained a partnership for such a long time. Going forward, focusing on developing solutions with partners like IBM will be a key strength for us.” .”
IBM has industry-leading expertise in developing solutions, so leveraging these technologies brings Dr. Muppidi into the conversation. Dr. Muppidi will enrich this discussion with his extensive experience in security across multiple disciplines. He has over 25 years of experience building security products, delivering results for clients, and leading technical teams. He is a recognized thought leader in the industry, developing efficient security features for cutting-edge technologies. Today, his work on security and his AI at IBM continues to define cybersecurity strategy in this evolving new industry dimension.
First, Dr. Muppidi will share his perspective on the continually evolving threat landscape driven by the technology needed to thwart intruders. From how attackers launch devastating attacks to how organizations should think proactively and reactively in their defense, Dr. Muppidi has spent the past 30 years learning technology and promoting the security industry. describes his role as a person.
“That’s the great thing about cybersecurity for someone like me who loves learning,” he says. “The more you learn, the more you realize how little you know, and the more you keep learning.”
Mr. Gupta joins us here to detail Cognizant's approach to this evolution in the cyber landscape and why partnerships with industry leaders like IBM are critical to that end.
This had a significant impact on Cognizant's continued development trajectory. In fact, time is a critical factor for success, and organizations need time to adapt or innovate.
Additionally, the team needed to provide solutions for multiple threats and environments in order to become a comprehensive cybersecurity provider for clients.
“You can't just focus on one particular area,” says Gupta. “Our services are comprehensive. Here we discuss identity and access management, a topic that has gained a lot of attention in recent years.
“But there's one important thing that many people don't know about Cognizant: We started our cybersecurity division with identity security at a time when the world wasn't paying attention to identity security. . Cognizant has always made futuristic choices.”
Dr. Muppidi will also introduce an important element to this conversation about enterprise cybersecurity: the increasingly complex threat landscape and how to address it. Dr. Muppidi helps simplify this requirement as “the ability to anticipate, prevent, and respond to modern threats.”
He continued: “How do we understand the full scope of risk from outside-in, from an attacker's perspective? To do this, understand the attack surface, use machine learning to identify risks, Protect proactively, detect accurately, and respond faster.”
The power of Gen AI for cybersecurity
So how can Gen AI play this role in making cybersecurity programs more efficient and enabling business transformation?
AI has become essential in cybersecurity, helping understaffed security teams deal with the many alerts generated by products that don't necessarily communicate with each other. Dr Muppidi said: “Gen AI extends the benefits of AI to further reduce human bottlenecks and deliver productivity gains. It is a powerful tool that helps security teams complete tasks faster. Examples include Gen AI-based incident summaries, Q&A/chatbots to accelerate investigations, and Gen AI-based policy and query generation to enable automation for faster response.
“Beyond the initial use case of reducing effort for security teams and helping them move faster, we see Gen AI playing a critical role in organizations evolving to become more proactive. AI improves security by finding elusive threats faster, automating dynamic workflows without human intervention, eliminating high-volume, low-risk incidents, and helping security teams focus on the alerts that matter most. Allows you to concentrate.
“As with any new technology, it is paramount to be aware of the new security risks that Gen AI poses and protect its use,” he adds. “The attacker targets the underlying datasets for model training and tuning, model vulnerabilities, supply chain dependencies, workloads, and applications.”
Collaboration between technical teams
We understand the potential impact Gen AI has on our business and the threats it poses, but we know that partnerships with technology providers like IBM and Cognizant will ensure the responsible use of Gen AI and support our global Enabling enterprises to leverage the power of Gen AI to drive security outcomes.
From Mr. Gupta's perspective, IBM's investment could prove fundamentally beneficial for Cognizant as it further develops the solution.
Mr. Gupta will highlight some of IBM's key developments that are driving enterprise security leadership. “IBM has added several innovations to expand its security product portfolio,” he says. “One was attack surface management. The other was an open threat management platform to automate endpoint detection and response and threat investigation and response.
“My next approach is to develop the SOC, which is a SOC 1.0 built on QRadar, into a SOC 2.0 to provide a rounded and robust XDR service. , and has become a one-stop platform, covering not only SIEM but also attack surface management, EDR, and SOAR services.”
Dr Muppidi added: “Cognizant has not only implemented his IBM products within his organization, but has created multiple solutions for his customers.”
Mr. Gupta agrees. “Most products in the IBM Security portfolio are used internally at Cognizant as well as by our customers, and the most important aspect of that relationship is the launch of the Cognizant Threat Prevention Platform. IBM's QRadar.”
Ethical aspects to consider
The industry's next question is robustness and ethics, as we know that the IBM and Cognizant partnership has been around for many years and will continue to deliver differentiated services. While many organizations are making inroads into AI, IBM sets itself light years apart by focusing on responsible AI.
Gen AI poses multiple risks, and Dr. Muppidi highlights data security and privacy as an example. “Ethics is just one aspect of risk. There are several other things. We need a simple frame to protect Gen AI to ensure we consider a complete AI solution. I am using Work.”
With this, he describes a rather unusual analogy outlining accountability and transparency to ensure the right Gen AI for the right purpose. “How do you ensure accountability and control? This is very similar to adding a nutrition label to a bag of crisps to enable appropriate snacking,” Dr. Mpidi said. The explanation of accountability seems to liken itself to transparency.
This accountability gives both IBM and Cognizant a deeper understanding of the future of AI, especially when it comes to protecting businesses and their assets. Mr. Gupta and Dr. Muppidi's roles as key leaders in global organizations and subject matter experts in this field allow them to visualize the looming threats of the future. In some cases, it can stem from the client's lack of awareness of his or her own situation.
“The most important concern for me is that organizations are rushing to use large-scale language models (LLMs) without practicing robust data security. So as far as AI is concerned, data breaches, data security is everything. is a top concern for the industry,” says Mr.
Dr Muppidi said: “Without IA (information architecture), there is no AI.
“A second concern is the impact on the supply chain. AI is heavily used in code development and applications, but who is in a position to say that their code is exposed to backdoors and even malicious content? There is no one at the moment. This could be part of an application and shipped all over the world.”
He further added, “While there will be further developments to secure Gen AI, the fundamentals as we deploy AI are: compliance and governance, and programs for securing infrastructure and applications using Gen AI. We need to recognize that,” he added.
The two experts' comments make clear that there is a role for government and industry to play together in making Gen AI suitable for everyday use and addressing the risks associated with it.
Both have put regulation high on their priority list, as more attention needs to be paid to the ethical use of AI, and indeed the safe use of AI.
“With the move to the cloud, the industry adopted a shared responsibility model for the first time,” explains Gupta. “There is no defined shared responsibility model for AI at the moment. There are three elements he is talking about right now: data, algorithms, and their applications.”
Due to the multiple cybersecurity elements and complexities of Gen AI, regulation is essential to ensure the development of LLMs for high-profile capabilities. It also plans to standardize how such technology is used in a fluctuating environment.
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