Building an AI-Native Security Operations Center: Revolutionizing Your Cyber Defense

In today’s fast-paced digital world, cyber threats are evolving at an unprecedented rate. For business leaders, safeguarding their organization’s digital assets isn’t just a technical challenge—it’s a strategic imperative. An AI-native Security Operations Center (SOC) represents a transformative leap in cybersecurity, providing the agility, intelligence, and resilience necessary to protect against sophisticated attacks. This blog explores the strategic advantages of an AI-native SOC and outlines a pathway for leaders to embrace this innovation.

Why an AI-Native SOC is a Strategic Game Changer

Traditional SOCs often struggle to keep pace with the volume and complexity of modern cyber threats. An AI-native SOC leverages artificial intelligence to not only detect but also predict and respond to threats in real time. This ensures that your security operations remain ahead of adversaries, providing enhanced protection and futureproofing your security defences.

By handling routine monitoring and initial threat analysis, AI optimizes your security investments, allowing human analysts to focus on more complex, value-driven tasks. This maximizes the impact of your cybersecurity talent and budget while empowering leaders to accelerate decision-making processes, by providing actionable insights faster than traditional methods, which is crucial in mitigating the impact of security incidents.

Expanding the Vision: The Pillars of an AI-Native SOC

The foundation of an AI-native SOC rests on several key components:

1. Holistic Data Integration is not merely a technical necessity, within an AI-native SOC, it is the bedrock upon which effective security operations are built. The goal is to create a single source of truth that provides a comprehensive view of the organization’s security landscape. This is achieved by creating a unified data platform that aggregates and consolidates information from network traffic, endpoint logs, user activity, external threat intelligence, and more, into a centralized repository.The challenges of data integration, though, are manifold and must be addressed before any meaningful progress can be made towards an AI-native SOC as AI algorithms depend on accurate data to make reliable predictions. Data from disparate sources can be inconsistent, incomplete, or in different formats. Overcoming these challenges to ensure data quality and consistency requires robust data normalization processes and seamless whole-system integration.

Existing security infrastructure, such as SIEMs (Security Information and Event Management), XDR (eXtended Detection and Response), SOAR (Security Orchestration, Automation, and Response), firewalls, and IDS/IPS (Intrusion Detection Systems/Intrusion Prevention Systems), as well as network infrastructure from the data centre to internal networks, routers, and switches capable of capturing NetFlow, for example, must work in harmony with the new AI tools. This can involve secure engineering (SecDevOps) efforts to develop custom connectors or to leverage middleware solutions that facilitate data exchange between systems.

2. Smart Automation and Orchestration are crucial for an AI-native SOC to operate efficiency. Automated response mechanisms can swiftly and accurately handle routine incident responses, such as isolating compromised systems or blocking malicious IP addresses. While orchestration platforms synchronize those responses across various security tools and teams, ensuring a cohesive and effective defence.To confidently reduce the workload on human analysts and minimize the potential for human error, it is critical to develop comprehensive and intelligent playbooks to define automated actions for various types of incidents.

For example, if a malware infection is reported via integrated threat intelligence feeds, the playbook might specify steps to first scan for the IoCs (indicators of compromise), isolate any affected endpoint, scan for other infections, and initiate remediation processes. These actions are executed automatically, without the need for manual intervention. And because you have already seamlessly integrated your security and network solutions when an incident is detected, your orchestration platform coordinates responses across your architecture ensuring that all relevant tools and teams are alerted, and appropriate actions taken at machine speed.

3. Human-AI Synergy enhances decision-making. Security analysts benefit from AI-driven insights and recommendations, which augment their ability to make strategic decisions. While AI and automation are powerful, human expertise remains indispensable in the SOC. The goal of an AI-native SOC is not to replace human analysts but to augment their capabilities.For example, when an anomaly is detected, AI can provide context by correlating it with historical data and known threat intelligence. This helps analysts quickly understand the significance of the anomaly and determine the appropriate response.

Continuous learning systems are another vital component. These systems learn from analyst feedback and real-world incidents to improve their performance over time. For instance, if an analyst identifies a false positive, this information is fed back into the AI model, which adjusts its algorithms to reduce similar false positives in the future. This iterative process ensures that the AI system continually evolves and adapts to new threats.

4. Advanced AI and Machine Learning Algorithms drive the AI-native SOC’s capabilities. Through proactive anomaly detection, predictive threat intelligence and behavioral analytics these technologies transform raw data into actionable intelligence, enabling the AI-native SOC to detect and respond to threats with unprecedented speed and accuracy.Proactive anomaly detection is one of the primary functions of AI in the SOC. Using unsupervised learning techniques, AI can analyze vast amounts of data to establish baselines of normal behavior. Any deviation from these baselines is flagged as a potential anomaly, prompting further investigation. This capability is particularly valuable for identifying zero-day attacks and advanced persistent threats (APTs), which often evade traditional detection methods.

Predictive threat intelligence is another critical application. Supervised learning models are trained on historical data to recognize patterns associated with known threats. These models can then predict future threats based on similar patterns. For instance, if a specific sequence of events has historically led to a ransomware attack, the AI can alert security teams to take preventive measures when similar patterns are detected.

Behavioral analytics add another layer of sophistication. By analyzing the behavior of users and entities within the network, AI can detect insider threats, compromised accounts, and other malicious activities that might not trigger traditional alarms. Behavioral analytics rely on both supervised and unsupervised learning techniques to identify deviations from normal behavior patterns.

5. Ongoing Monitoring and Adaptation ensure that the AI-native SOC remains effective. The dynamic nature of cyber threats necessitates continuous monitoring and adaptation. Real-time threat monitoring involves using AI to analyze data streams as they are generated. This allows the SOC to identify and respond to threats immediately, reducing vital KPIs of MTTA, MTTD, and MTTR. Adaptive AI models play a crucial role in this process. These models continuously learn from new data and incidents, adjusting their algorithms to stay ahead of emerging threats.Feedback mechanisms are essential for maintaining the effectiveness of the SOC. After each incident, a post-incident review is conducted to assess the response and identify areas for improvement. The insights gained from these reviews are used to refine AI models and response playbooks, ensuring that the SOC becomes more robust with each incident. 

Implementing Your AI-Native SOC: A Strategic Approach

Successfully implementing an AI-native SOC requires a strategic approach that aligns with your organization’s broader business goals. The following steps outline a comprehensive roadmap for this transformation:

Evaluate Your Current Landscape

Begin by conducting a thorough assessment of your current security operations. Identify existing strengths and weaknesses, and pinpoint areas where AI can provide the most significant benefits. This assessment should consider your existing infrastructure, data sources, and the current capabilities of your security team.

Define Strategic Objectives

Clearly define the strategic objectives for your AI-native SOC initiative. These objectives should align with your organization’s broader business goals and address specific security challenges. For example, your objectives might include reducing response times, improving threat detection accuracy, or optimizing resource allocation.

Select and Integrate Advanced Technologies

Choosing the right technologies is critical for the success of your AI-native SOC. Select AI and automation solutions that complement your existing infrastructure and offer seamless integration. This might involve working with vendors to develop custom solutions or leveraging open-source tools that can be tailored to your needs.

Build a Forward-Thinking Team

Assemble a multidisciplinary team with expertise in AI, cybersecurity, and data science. This team will be responsible for developing, implementing, and managing your AI-native SOC. Invest in ongoing training to ensure that your team remains at the forefront of technological advancements.

Pilot and Scale

Start with pilot projects to test and refine your AI models in controlled environments. These pilots should focus on specific use cases that offer the greatest potential for impact. Use the insights gained from these pilots to scale your AI-native SOC across the organization, addressing any challenges that arise during the scaling process.

Monitor, Learn, and Evolve

Continuously monitor the performance of your AI-native SOC, learning from each incident to adapt and improve. Establish feedback loops that allow your AI models to learn from real-world incidents and analyst feedback. Foster a culture of continuous improvement to ensure that your SOC remains effective in the face of evolving threats.

Overcoming Challenges

Implementing an AI-native SOC is not without challenges. Data privacy and compliance must be ensured, balancing security with privacy concerns. This involves implementing robust data protection measures and ensuring that your AI systems comply with relevant regulations.

Managing false positives is another significant challenge. AI models must be continuously refined to minimize false positives, which can erode trust in the system and waste valuable resources. This requires a careful balance between sensitivity and specificity in threat detection.

The integration process can be complex, particularly when dealing with legacy systems and diverse data sources. Thoughtful planning and expert guidance can help navigate these challenges effectively. This might involve developing custom connectors, leveraging middleware solutions, or working with vendors to ensure seamless integration.

Conclusion

For business leaders, building an AI-native SOC is more than a technological upgrade, it’s a strategic investment in the future security and resilience of your organization. By embracing AI-native security operations, you can transform your approach to Cyber Defense, safeguarding your assets, optimizing resources, and staying ahead of emerging threats. The journey to an AI-native SOC involves challenges, but with the right strategy and commitment, the rewards are substantial and enduring.

Transform your cyber defence strategy today. The future is AI-native, and the future is now.

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The Trifecta Effect of Integrating XDR, SIEM, and SOAR

In the ever-evolving landscape of cybersecurity, the integration of cutting-edge technologies has become paramount to stay ahead of sophisticated threats. One such powerful combination that is revolutionizing security operations is the integration of Extended Detection and Response (XDR), Security Information and Event Management (SIEM), and Security Orchestration, Automation, and Response (SOAR). Let’s delve into the trifecta effect of integrating these technologies and how they can enhance your organization’s security posture.

Security Information and Event Management (SIEM)

SIEM solutions play a crucial role in centralizing and analyzing security event data from various sources within an organization. They provide real-time monitoring, threat detection, and incident response capabilities. By aggregating logs and data from security and non-security disparate systems, SIEM enables security teams to detect anomalies, investigate security incidents, and comply with regulatory requirements.

Extended Detection and Response (XDR)

XDR represents a holistic approach to threat detection and response by consolidating multiple security layers into a unified platform. It provides enhanced visibility across endpoints, networks, and cloud environments, enabling security teams to detect and respond to threats more effectively. By leveraging advanced analytics and machine learning, XDR can correlate and analyze vast amounts of data to identify complex threats in real-time.

Security Orchestration, Automation, and Response (SOAR)

SOAR platforms empower security teams to automate repetitive tasks, orchestrate incident response workflows, and streamline security operations. By integrating with XDR and SIEM, SOAR can enhance the efficiency and effectiveness of incident response processes. It enables teams to respond to security incidents rapidly, reduce manual errors, and improve overall response times.

How XDR, SIEM, and SOAR Complement Each Other

The trifecta effect of integrating XDR, SIEM, and SOAR brings together the best of all three worlds, creating a comprehensive and synergistic security solution. Here’s how the components of each technology complement each other:

• XDR and SIEM: XDR’s advanced analytics, machine learning, and threat detection capabilities are integrated with SIEM’s centralized log management and real-time monitoring. This combination enables organizations to detect and respond to both known and unknown threats more effectively, as well as comply with regulatory requirements. SIEM’s pattern recognition capabilities can help XDR identify threats through pattern recognition, while XDR’s API data access and stealth threat detection capabilities can enhance SIEM’s detection capabilities. XDR and SIEM can work together in a security architecture to provide a more robust and mature security posture. For instance, XDR can provide real-time visibility, and SIEM can provide forensic search, data archival, and customization. XDR can reduce the number of contextualized alerts sent to the SIEM for prioritized investigations, enabling security teams to respond to security incidents more efficiently.
• XDR and SOAR: XDR’s response integrations can have similar functionality to SOAR platforms, with the potential to make SOAR a native part of XDR platforms in the future. This integration allows for automated threat response, enabling security teams to automatically remediate threats in their environment without human intervention. SOAR’s orchestration and automation capabilities can also enhance XDR’s response capabilities, providing a more proactive defense posture.
• SIEM and SOAR: SIEM and SOAR can integrate best-of-breed components without vendor lock-in, allowing for more flexibility in security operations. SOAR’s incident response capabilities, such as use-case-based playbooks, can orchestrate response actions across the environment, assign tasks to personnel, and incorporate user inputs to augment automated actions. This integration can help SOAR platforms focus on incident response, while SIEM solutions can focus on data collection and analysis.

Case Study: Credential Stuffing Attack

Let’s walk through a scenario of a credential stuffing aAttack and model how this trifecta could come into play:

Phase 1: Attack Initiation and Initial Detection

An attacker begins a credential stuffing attack by using previously breached username and password pairs to gain unauthorized access to the organization’s web applications.

• XDR Role: XDR monitors the endpoints and detects a high volume of failed login attempts from various IP addresses, which is unusual and indicative of a credential-stuffing attack. XDR can also identify successful logins from suspicious locations or devices, adding this information to the incident details.
• SIEM Role: The SIEM system, collecting logs from web application firewalls (WAF), authentication servers, and user databases, notices an abnormal spike in authentication requests and login failures. This complements the XDR’s endpoint visibility by providing a network-wide perspective and helps to confirm the scale of the attack.

Phase 2: Alert Correlation and Confirmation of the Attack

The attack continues as the attacker tries to automate login requests to bypass security controls.

• XDR Role: XDR correlates the failed authentication attempts with geographic anomalies (such as logins from countries where the company does not operate) and reports these findings to the SIEM.
• SIEM Role: SIEM cross-references the XDR alerts with its log data, confirming the attack pattern. It leverages its correlation rules to identify legitimate accounts that may have been compromised during the attack, which XDR might not be able to determine on its own.

Phase 3: Automated Response and Mitigation

With the attack confirmed, rapid response is necessary to minimize damage.

• SOAR Role: Upon receiving alerts from both XDR and SIEM, the SOAR platform triggers a predefined response playbook that automatically enforces additional authentication requirements for the affected accounts, such as multi-factor authentication (MFA), and blocks IP addresses associated with the attack.
• XDR Role: XDR can automatically enforce endpoint-based security controls, like updating access policies or locking down accounts that have shown suspicious login activities.
• SIEM Role: SIEM supports the response by providing additional context for the SOAR to execute its playbooks effectively, such as lists of affected user accounts and their associated devices.

Phase 4: Post-Attack Analysis and Strengthening Defenses

After blocking the immediate threat, a more in-depth analysis is conducted to ensure all compromised accounts are secured.

• SIEM Role: SIEM facilitates a detailed investigation by querying historical data to uncover the full scope of the attack, identifying compromised accounts, and understanding the methods used by attackers.
• SOAR Role: SOAR provides workflows and playbooks to automatically reset passwords and notify affected users, while also updating security policies based on the attack vectors used.
• XDR Role: The XDR platform assists with forensic analysis by leveraging its integrated view across endpoints, network, and cloud to pinpoint how the attacker could bypass existing security measures.

Phase 5: Continuous Improvement and Monitoring

To prevent future attacks, the organization needs to refine its security posture and implement new controls.

• SOAR Role: SOAR can automate the rollout of new security policies across the organization and conduct simulated phishing exercises to educate employees about security best practices.
• SIEM Role: SIEM takes charge of long-term data collection and analysis to monitor for new patterns that may indicate a repeat of the attack, ensuring continuous improvement in the organization’s security monitoring capabilities.
• XDR Role: XDR continuously monitors for any signs of a resurgence of the attack or similar tactics being used, ensuring ongoing vigilance and quick detection of any new threats.

In this scenario, XDR and SIEM play complementary roles where XDR’s real-time analysis and endpoint visibility are enhanced by SIEM’s ability to provide a broader view of the network and historical non-security context. The SOAR platform bridges the gap between detection and response, allowing for quick and efficient mitigation of the attack. This integrated approach ensures that no aspect of the attack goes unnoticed and that the organization can rapidly adapt to and defend against such sophisticated cyber threats.

Impact of Non-Integrated Approach

Removing either SIEM or XDR from the scenario would significantly affect the organization’s ability to effectively detect, respond to, and recover from a credential-stuffing attack. Let’s consider the impact of removing each one individually:

Removing SIEM

• Loss of Centralized Log Management: Without SIEM, the organization loses centralized visibility into the security data generated by various devices and systems across the network. This makes it more challenging to detect patterns and anomalies that are indicative of a credential stuffing attack, especially when they span across multiple systems and applications.
• Reduced Correlation and Contextualization: SIEM’s strength lies in its ability to correlate disparate events and provide context, such as flagging simultaneous login failures across different systems. Without SIEM, the organization may not connect related events that could indicate a coordinated attack.
• Inefficient Incident Management: SIEM platforms often serve as the hub for incident management, providing tools for tracking, investigating, and documenting security incidents. Without it, the organization may struggle with managing incidents effectively, potentially leading to slower response times and less organized remediation efforts.
• Difficulty in Compliance Reporting: Many organizations rely on SIEM for compliance reporting and audit trails. Without SIEM, they may find it more challenging to demonstrate compliance with various regulations, potentially leading to legal and financial consequences.

Removing XDR

• Reduced Endpoint and Network Visibility: XDR provides a detailed view of activities on endpoints and across the network. Removing XDR would leave a blind spot in detecting malicious actions occurring on individual devices, which are often the entry points for credential-stuffing attacks.
• Weakened Real-time Detection: XDR platforms are designed for real-time detection and response. Without XDR, the organization might not be able to detect and respond to threats as quickly, allowing attackers more time to exploit compromised credentials.
• Limited Automated Response: XDR can automate immediate response actions, such as isolating a compromised endpoint or terminating a malicious process. Without XDR, the organization would have to rely more heavily on manual intervention, potentially allowing the attack to spread further.
• Loss of Integrated Response Capabilities: XDR often integrates with other security tools to provide a coordinated response to detected threats. Without XDR, the organization may find it more difficult to execute a synchronized response across different security layers.

The Case for an Integrated Approach

The conversation should not be framed as “XDR vs. SIEM & SOAR” but rather as “XDR, SIEM and SOAR.” These three technologies are not mutually exclusive anymore; instead, they complement each other and serve to strengthen an organization’s security posture when integrated effectively.

In essence, the integration of XDR, SIEM, and SOAR technologies is not a competition but a collaboration that brings together the best features of all three worlds.

Source: cisco.com

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How Life-Cycle Services Can Help Drive Business Outcomes

For most organizations, the journey to a digital-first business is not yet complete. While many have implemented new technologies to enable digital capabilities across the business, modernizing IT infrastructure and applications requires ongoing planning and investment. In fact, a recent IDC survey found that 49% of respondents identified their organization as only “somewhat digital,” with many in the process of transforming portions of the business to digital. With so much transformation still required, many CIOs and IT managers are prioritizing projects that will help drive new digital-first business models.

Unfortunately, while technology innovations promise to deliver significant results for business managers, the reality of implementation and adoption is often very different. CIOs and IT managers are increasingly tasked with not just deploying and integrating these complex solutions, but with delivering specific, measurable business outcomes to key stakeholders across the organization. IDC surveys show that most organizations continue to prioritize strategies focused on improved customer and employee experiences, better operational efficiencies, achieving sustainability goals, and expanding products into new markets. Delivering critical insights to business managers to enable real-time data analysis and decision-making is key to driving these strategies. While the specific business outcomes vary by industry and region, they are united by one common thread: they are all driven by technology.

Conversations with CIOs and IT managers reveal that a critical and difficult first step is making sure IT objectives and KPIs can be aligned with measurable, specific business outcomes across the organization. Aligning IT and business strategies has long been a goal, but managing a digital-first business to achieve desired outcomes across the organization has increased its importance. Such alignment is a difficult challenge for IT organizations that often lack the skills and resources for this exercise. Business managers also struggle to understand underlying IT infrastructure, further complicating the process of aligning strategic outcomes across IT and the digital-first business.

To help, services partners are offering comprehensive portfolios of outcomes-driven, life-cycle services designed to help customers align technology, operational, and business outcomes to accelerate value realization. These services are typically featured in packages that include planning and advisory, implementation and deployment, adoption and ongoing optimization, and support and training. IDC believes life-cycle services partners committed to demonstrating the value of technology for a digital business should incorporate the following capabilities:

• Early emphasis on defining desired technical, operational, and business outcomes with required stakeholders across the organization.
• Developed methodologies that can help align technology implementations and operational outcomes with business goals by establishing key performance indicators and objective metrics for tracking progress.
• Highly skilled talent with the right mix of business, technology skills, and certifications on new and emerging technologies across IT and network solutions, with continuous engagement throughout the life cycle.
• Ongoing monitoring and reporting through dashboards that clearly demonstrate how the IT organization is leveraging technology to meet the needs of business managers.
• Extensive technology-driven capabilities that can help meet key risk management objectives, both as part of technology implementations and ongoing operations.

In addition, CIOs should ensure that services partners can demonstrate an integrated approach to identifying, measuring, and monitoring key technology, operational, and business KPIs throughout the life cycle. While most organizations focus on implementation and onboarding, the value of most technology solutions is delivered well after the initial project is complete. Life-cycle services partners should be able to identify and track key objectives that demonstrate ongoing adoption and optimization to ensure organizations are realizing the full value of technology solutions.

Not surprisingly, IDC research shows that organizations are seeing a number of benefits by using life-cycle services partners focused on achieving customer success. Respondents in a recent IDC survey highlighted the following:

• 40% reported improving the overall performance of the solution.
• 40% were able to deliver more value to business managers.
• 38% indicated they adopted new implementations faster.
• 36% reported expanding adoption to improve business results.

For CIOs looking to transform the IT organization from a cost center to an “innovation driver” across the business, these benefits are critical to realizing the promise of complex technology solutions. Life-cycle services partners with proven processes and methodologies connecting technology, operational, and business outcomes can help resource-strapped IT organizations demonstrate the full value of technology innovations and drive direct, tangible business results. IDC believes life-cycle services partners who can demonstrate these capabilities are well-positioned to help organizations seeking to drive faster adoption while delivering the desired outcomes across the business.

Source: cisco.com

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Driving a Successful Sustainability Agenda – A Deep Dive into a Holistic Approach

Driving a sustainability strategy comes with incredible complexity and a spectrum of expectations. With the stakes being as high as it gets – the preservation of our planet – this is one we need to get right. The question is: HOW?

In Cisco CX we have designed a coherent and holistic framework to help you synergize different aspects of sustainability into a unified strategy. This enables a strategic alignment between sustainability & business goals, and a comprehensive stakeholder engagement – integrating Environmental, Social, and Governance (ESG) metrics into business performance indicators and optimizing the allocation of resources.

Importantly, our framework recognizes the inherent diversity among stakeholders and their varying priorities and value drivers in the realm of sustainability. It can be a common scenario where initiatives aimed at sustainability are often confined within silos, resulting in different parts of the organization operating at different maturity levels.

By acknowledging this reality, our framework helps organizations align their capabilities and benchmark themselves against industry leaders. This entails a comprehensive approach that takes into account the distinct perspectives and objectives of different stakeholders. By integrating their efforts and fostering collaboration across departments, organizations can bridge the gaps in maturity levels and ensure a more cohesive and holistic approach toward sustainability.

Moreover, this integrated approach promotes a more unified organizational culture, where sustainability becomes an intrinsic part of the overall business strategy.

In part 1 of this 2-part blog series, I want to share with you our signature approach, developed by Cisco CX to drive a successful sustainability agenda.

Six Dimensions to driving a holistic approach to sustainability

We take a structured approach in assessing the technology maturity across six key dimensions: Strategy, Governance, Execution, IT for Sustainability, Sustainable IT, and ESG Data Management. By evaluating each dimension, we help our customers gain valuable insights into their current state, identify areas for improvement, and translate them – leveraging our expertise – into a roadmap.

• Strategy: Focuses on evaluating your approach to sustainability within your overall business strategy. It assesses how effectively sustainability goals are aligned with your vision and mission. This also considers the level of integration of sustainability into strategic decision-making processes and the establishment of clear objectives and targets.
• Governance: Examines your governance structure and processes regarding sustainability. It evaluates the presence of dedicated sustainability governance bodies, the level of senior leadership involvement, and the effectiveness of oversight mechanisms. This dimension also takes into account the organization’s commitment to transparency, accountability, and risk management related to sustainability initiatives.
• Execution: Assesses your ability to translate your sustainability strategy into action. It evaluates the presence of well-defined implementation plans, the allocation and skills of resources, and the engagement of relevant stakeholders. This also examines your capability to drive change, implement more sustainable practices, and monitor progress effectively.
• IT for sustainable business: Focuses on your utilization of technology to support sustainability initiatives. It assesses the integration of sustainability considerations into IT strategy and the use of technology solutions to optimize resource consumption, reduce environmental impact, and enhance operational efficiency. This also examines your capability to leverage emerging technologies for sustainable innovation.
• Sustainable IT: Evaluates your internal IT infrastructure and operations with a sustainability lens. It assesses your efforts to minimize energy consumption, reduce e-waste, and adopt environmentally friendly practices in IT procurement and asset management. This also considers your commitment to sustainability-related IT standards and certifications.
• ESG data management: Focuses on your ability to collect, analyze, and report ESG-related data. It assesses the quality, accuracy, and completeness of data collection processes, as well as your capability to derive meaningful insights from the data. This also evaluates your transparency and reliability in reporting ESG performance to stakeholders.

Focus on Measurable Outcomes: Turning Data into Action for Progress on Sustainability

In Cisco CX we love turning data into actionable insights.

It’s time for organizations to move beyond data collection and analysis and focus on translating those insights into tangible actions and committing to implementing practices designed with sustainability in mind. Energy management offers a great example; Access to data allows us to evaluate consumption, optimize usage, implement energy-efficient technologies, and explore renewable energy sources. Taking action can result in reducing emissions, reducing costs, and improving operational efficiency.

Let’s not forget, that measurable outcomes play a vital role in progressing the sustainability agenda; we all need to set quantifiable goals, track progress, monitor performance, identify gaps, and take corrective actions as needed. In other words, we need to be able to report on our progress and milestones transparently. Not only to be accountable and build trust but also to benchmark our performance against industry peers and further improve.

Be more sustainable with Cisco CX

Leveraging our years of experience, Cisco CX’s comprehensive approach to guide you through your sustainability transformation journey can help you achieve measurable outcomes.

Sustainability can be a competitive differentiator in today’s fast-changing business landscape.

Source: cisco.com

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New Cisco Services Help You Achieve Business Outcomes— Faster

In my role, I have the incredible opportunity to meet trailblazing IT leaders just like you every day. Each has told me that in order to continue to innovate and help their organization thrive, they must align technology investments to business priorities and achieve remarkable, tangible results. But they can’t do it alone! IT leaders have also shared with me the need for strategic advisors with deep technical expertise and understanding of their business to inform their decisions and accelerate technology adoption.

In response to what we hear from customers like you, we are continually evolving our Customer Experience (CX) services portfolio. Today, I am excited to announce that we are launching a brand-new outcomes-driven offering – Cisco Lifecycle Services (LCS). These services shift your focus from IT challenges to business outcomes. LCS lets you start with your desired outcomes, then helps you identify and execute IT initiatives aligned to those outcomes, which allows you to demonstrate measurable results. You also get Cisco experts with advanced tools, automation, and AI/ML insights to accelerate time-to-outcomes.

“Companies require IT services that provide the scalability and adaptability to align to changing business and technology needs. Organizations of all sizes and across multiple industries need the ability to orient technology initiatives to discreet business outcomes with measurable KPIs. I believe that Cisco’s new Lifecycle Services is novel in its delivery mechanism to this end and leans into its depth of knowledge and capabilities. ”

– Will Townsend, VP & Principal Analyst, Moor Insights and Strategy

Focus on Business Outcomes

We understand your business, industry, and technologies. Distilled from over 30 years of experience helping thousands of organizations worldwide, Cisco Lifecycle Services empowers YOU to:

1. Drive business outcomes with continuous engagement.

Let’s say your priority is to reduce risk, enhance customer experience, and increase operational excellence – these are your desired business outcomes (and we have 11 in our catalog). With your desired outcomes as the compass, Cisco experts help you identify and develop IT optimization and transformation strategies. We then work with your team and partners to prioritize, implement, and drive the adoption of these strategies so that you achieve tangible business outcomes.

2. De-risk and accelerate time-to-outcomes.

With this service, you make informed decisions. Our experts have AI/ML insights, tools, and automation to translate telemetry data into actions. You also accelerate time-to-outcomes by removing execution roadblocks. You close skills-gap and talent shortages with Cisco’s team of deep technical experts to fast-track planning, designing, implementing, and automating your IT environment.

3. Demonstrate measurable success.

At the beginning of the engagement, together with you, we identify outcomes aligned KPIs (Key Performance Indicators). Next, we use our automated KPI measurement tools and telemetry to create a baseline. Throughout the engagement, Cisco experts track, measure, translate, and report the impact aligned with your desired outcomes.

4. Exercise flexible choices that align with the way you work.

At Cisco, we’re committed to your success. We understand that your organization is unique and has ways of working. With this service, you get the flexibility to engage Cisco experts and our partners in the best way for you.

• Provide deep and meaningful advice with actionable recommendations.
• Work with you as part of your team.
• Do it for you with end-to-end delivery ownership.

And, should your business priorities change during the engagement, we realign the experts and IT initiatives to your new direction.

Simple, consistent, and integrated engagement model

When you choose Cisco and our partners, you expect a simple, consistent, and high-quality experience. Rooted in learnings from our delivery experts and customer feedback, we expect to exceed your expectations with the new engagement model.

1. Baseline: We begin by understanding your business objectives and tailoring KPIs to align with your goals. Then, we establish a baseline using telemetry and other methods.
2. Analyze: Using telemetry and high-touch discovery, our experts analyze your IT environment and identify strategies to achieve your desired business outcomes.
3. Recommend: We make recommendations, help you prioritize IT initiatives, and build an execution plan.
4. Execute: We and our partners work with you to remove roadblocks to ensure the execution of prioritized initiatives – aligned with the way you work.
5. Measure: To demonstrate progress consistently, we track, measure, translate, and report KPIs at regular intervals using Automated Dashboard and Quarterly Business Reviews (QBR).

When you start with a business outcome, you know multiple IT initiatives will get you there. It gets complex. With Integrated Service Delivery, our experts handle the complexity and coordinate with your teams, partners, and the Cisco team to keep everyone in sync and focused on the ultimate objective. All you experience is simplicity, consistency, and measurable business outcomes.

Previews surpassed initial expectations.

We organized field trials with select customers to validate our new approach. The initial response surpassed our highest expectations. A broad range of organizations representing service providers, manufacturing, healthcare, retail, finance, education, and the public sector signed up for the preview, and the feedback tells us our impact with outcomes exceeds the value of previous services provided. Now we’re ready to bring this tremendous value to you.

Amplify with Cisco Partners

Cisco Lifecycle Services complements the capabilities and scale of our extensive partner ecosystem. Suppose you are already working with one of our partners. In that case, Cisco Lifecycle Services allows you and the partner to deepen the strategic relationship and achieve greater alignment on your business priorities and the business outcomes you desire. As Cisco and Cisco Partner experts analyze your environment and make recommendations to transform and optimize your IT environment, our flexible model allows you to engage your preferred partners to deliver a variety of implementation and managed services.

Let’s shift the focus from challenges to business outcomes.

To learn how your IT organization can accelerate their ability to deliver new and better business outcomes, visit Cisco Lifecycle Services here. You can also contact your Cisco account representative or authorized partner directly to set up an introductory meeting.

Source: cisco.com

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