IBM

Confluent

Confluent is the enterprise-grade streaming data platform managing real-time data streams.

Confluent is an ideal fit for enterprises that wish to expand their streaming data use cases with enterprise-level governance, tooling, and ongoing innovation.

Confluent with IBM Artificial Intelligence

Together, Confluent and watsonx.data help enterprises move and manage real-time data and make it productive across open, hybrid ecosystems, so teams can activate analytics and AI faster, with trust.

 

• data integration: unified ingestion and orchestration across streaming + batch + CDC + observability.
• data intelligence: metadata, lineage, quality, policy to make streams trustworthy and discoverable.
• data lakehouse: persist, optimize cost and performance, and serve BI, AI, and agents.

 

IBM Concert

Concert scores and correlates data to identify issues and implement actionable recommendations to improve resilience.

 

Concert helps teams

→ Eliminate manual effort

→ Improve productivity

→ Reduce risk

→ Prevent outages

 

How does Concert automate IT resilience?

• Brings together scattered data so it can provide novel insights
• Maps customer data to the resilience pillars for applications and environments to determine a posture score
• Provides actionable recommendations and remediation plans using agentic AI
• Auto-remediate issues and enable further automation with Concert Workflows
• Action arm is flexible and extensible, meeting customers where they are

 

Concert AI Agents

IBM Concert leverages AI agents to automate resilience and compliance management across hybrid cloud environments—mapping complex data signals into continuous posture tracking, intelligent remediation, and measurable assurance.

 

Concert Compliance management

IBM Concert leverages AI agents to automate compliance management across hybrid cloud, providing real-time visibility, continuous control monitoring, and automated evidence validation—dramatically reducing manual workloads.

 

Concert Vulnerability Management

Vulnerability Management with IBM Concert unifies the vulnerability lifecycle by using AI to continuously detect, prioritize, and remediate application and infrastructure risks—breaking down silos and enabling full-stack visibility across hybrid environments.

 

Automated patch management

Uses AI-driven workflows to continuously detect, prioritize, and deploy software patches across large telecom environments. Automation replaces manual intervention, ensuring fast and timely updates when vulnerabilities are found.

 

HashiCorp

HashiCorp helps organizations do cloud right, with a proven approach to Infrastructure Lifecycle Management and Security Lifecycle Management. HashiCorp’s suite of products enables organizations to streamline application development and simplify operations across complex, hybrid cloud environments.

 

Hybrid cloud Infrastructure automation

Terraform helps organizations standardize their infrastructure and create a single operating plane to manage it all at scale.

• Infrastructure as code
• Compliance & management
• Self-service infrastructure

 

Standardize image workflows across cloud providers

• Secure your images
• Reduce time to deployment
• Update images across clouds

 

Hybrid cloud Application automation

• Workload orchestration
• Container orchestration
• Heterogeneous orchestration

 

Hybrid cloud Security automation

Centrally manage secrets and encryption keys across the datacenter and beyond, in increasingly complex, hybrid, multi-cloud environments. Secure, store, and tightly control access to tokens, passwords, certificates, encryption keys, and other sensitive data using a UI, CLI, or HTTP API.

• Identity-based security
• Secrets management
• Encryption as a service
• Advanced data protection

 

Standardize secure remote access

Boundary provides end users with simple, secure access to infrastructure resources, including Linux and Windows servers, databases, private web apps, and Kubernetes clusters.

Boundary enforces least-privilege access, allowing users to connect only to the resources they’re authorized to access — no more, no less. It also handles credentials on the user’s behalf, which improves security through proper rotation and reduces the burden on users to store and retrieve credentials every time they need to connect.

• Identity-based access
• Automatically onboard new services
• Provide time-bound, least-privileged access to users.
• Compliance with auditable records and recorded sessions

 

Hybrid cloud Networking automation

• Common service registry
• Service discovery
• Network middleware automation
• Zero trust networking with service mesh

 

AI-powered observability

Instana APM- Resolve application issues before users are impacted

Instana Observability provides automated real-time insights into runtime environments for complete visibility across the application stack.

• Experience instant, automated monitoring with real-time correlation across your tech ecosystem, transforming fragmented data into unified, actionable insights.
• ML and generative AI deliver predictive, business-aware insights that continuously learn your environment, maintaining optimal performance in cloud-
  native applications.
• Eliminate manual configuration with automatic adaptation across all application layers, enabling comprehensive visibility and faster innovation through automated analysis.

 

Turbonomic– Automate resource management to enhance application performance

Turbonomic automates resource rightsizing, ensuring optimal application performance by automating resource allocation and scaling in real time.

• Maximize savings through continuous real-time optimization of cloud and
  on-premises resources.
• Efficiently manage modern workloads with automated scaling and pod management in Kubernetes environments.
• Simplify management and continuously optimize your hybrid cloud infrastructure, improving performance, and reducing costs.

 

SevOne– Advanced network observability and automation

IBM SevOne provides advanced network observability and automation to optimize IT environments seamlessly.

 

• Real-time network monitoring delivers actionable insights for hybrid-cloud and multi-cloud environments.
• Comprehensive visibility across network layers enables efficient troubleshooting and enhanced performance.
• AI-powered analytics proactively detect anomalies and streamline network operations.
• Closed-loop automation remediates incidents faster and reduces operational overhead.

 

IBM Maximo Application Suite – Asset Performance Management

IBM Maximo Application Suite (MAS) Asset Performance Management (APM) integrates predictive maintenance, reliability engineering, and asset health monitoring into a unified platform. This solution leverages advanced analytics and generative AI (Gen AI) to transform how organizations manage physical assets, reducing downtime and extending asset lifespan. By combining real-time data with historical trends, MAS APM enables proactive decision-making, shifting from reactive to predictive maintenance strategies.

 

IBM WatsonX Portfolio– Enterprise Artificial Intelligence

IBM watsonx is a portfolio of AI products that accelerates the impact of generative AI in core workflows to drive productivity.

• ai is an enterprise-grade AI studio that helps AI builders innovate with all the APIs, tools, models, and runtimes to build AI solutions.
• data enables an organization to put their data to work, wherever it resides, with the hybrid, open data lakehouse for AI and analytics.
• governance is an end-to-end toolkit for AI governance to manage risk and compliance across the entire AI lifecycle.
• Watsonx Orchestrate helps organizations to create and deploy personalized AI assistants and agents to automate and accelerate their work.
• Watsonx Code Assistant helps organizations to harness generative AI and advanced automation to create enterprise-ready code faster.

 

Watsonx.ai

Watsonx.ai is an enterprise-grade studio for developing AI services and deploying them into clients’ applications of choice. Watsonx.ai brings together a collection of the APIs, tools, models, and runtimes a client needs to turn their ideas and requirements into reality. With watsonx.ai, clients have a complete AI platform that empowers them to train, validate, tune, and deploy their AI models, both traditional and generative.

 

Components of watsonx.ai include a Foundation Model Library from which models can be selected, model customization options with the Prompt Lab and Tuning Studio, tools for AI development and deployment including Jupyter Notebooks and APIs, tight integration with watsonx.governance and Data Science and Machine Learning Operations (MLOps) capabilities. Specifically:

 

• Foundation Model Library – Clients have access to a family of IBM models of different sizes and architectures, IBM selected open-source models from the Hugging Face community, and other third-party models including Llama and StarCoder large language model (LLM) for code generation.

 

• Prompt Lab – AI builders can work with FMs through prompts and experiment with zero-shot, one-shot, or few-shot prompting to support a range of natural language processing (NLP) type tasks including question answering, content generation, summarization, text classification, and extraction. This lab helps beginners to experts build, manage, and benchmark their prompts.

 

• Tuning Studio – FMs can be further customized for better performance. Tuning can be useful to adapt existing models to domain-specific tasks. Tuning also allows businesses to harness their proprietary data to differentiate their applications with focused, business data.

 

• Data Science and MLOps – IBM provides all the tools, pipelines and runtimes powered by FMs a business needs to support building ML models automatically. Clients can automate their entire AI model lifecycle from development to deployment with connections to a variety of application programming interfaces (APIs), software development kits (SDKs), and libraries. They can even address any data gaps by creating synthetic tabular data.

 

• AI Governance – End-to-end AI governance is critical for scalability. The watsonx.governance™ toolkit seamlessly integrates with existing systems to automate and accelerate responsible AI workflows to help save time, reduce costs and comply with regulations. Clients also benefit from the ability to deploy AI wherever it makes sense across their hybrid cloud.

 

 

Watsonx.data – Scale AI workloads for all your data, anywhere

 

With IBM watsonx.data, businesses can quickly connect to data, get trusted insights, and reduce data warehouse costs. IBM watsonx.data is a hybrid, open data lakehouse to power AI and analytics with all of a client’s data, anywhere.

 

Optimized for all data, analytics, and AI workloads, watsonx.data combines the flexibility of a data lake with the performance of a data warehouse, helping businesses to scale data analytics and AI anywhere their data resides.

 

Clients can access data through a single point of entry, with a shared metadata layer across clouds and on-premises environments. watsonx.data also comes with built-in governance, security, and automation … enabling data scientists and developers to use governed enterprise data to train and tune foundation models, while also addressing enterprise compliance and security across the data ecosystem.

 

With watsonx.data, businesses can build trustworthy AI models and automate AI life cycles on multicloud architectures, taking full advantage of interoperability with IBM and third-party services.

 

Watsonx.data intelligence – Streamline access to trusted quality data while addressing data privacy and compliance

 

Data governance can help accelerate insights and address data privacy and compliance, but managing data governance, privacy and keeping pace with regulatory compliance across an increasingly hybrid and complex environment can be challenging. Accelerate data outcomes by establishing a governed data foundation using the data governance capabilities of the IBM watsonx.data intelligence to support data literacy, data trust, data protection, and data consumption, which are all essential parameters for most data use cases.

 

IBM’s data strategy embraces a data fabric architecture that includes the IBM watsonx.data intelligence solution to accelerate insights by unifying data governance, data quality, data lineage, and data sharing with capabilities that provide a seamless, integrated approach to curating, organizing and understanding data and information assets, assessing and monitoring quality, tracing data’s journey, and fostering collaboration through the distribution and consumption of data products across a heterogeneous data estate.

 

IBM watsonx.data intelligence integrates directly with the watsonx.data lakehouse and AI and machine learning capabilities provided by watsonx.ai to transform raw data into actionable insights with out of the box generative AI for contextual understanding – empowering users to trust and act on reliable data. This systematic strategy ensures that organizations can manage their data more effectively while unlocking its full potential to drive innovation and success.

 

IBM watsonx.data intelligence is built on IBM’s hybrid and multi-cloud data platform to comprehensively address the entire data lifecycle – on any environment, with any integration, not matter where the data resides to allow seamless integration and operation across an organization’s environments. It is open by design with no vendor lock in, and built-in data security and governance to easily integrate, secure and govern data across a heterogeneous data estate. Fit-for-purpose query engines provide a choice of tooling and financial governance, and it’s AI ready to support the needs of an organization’s AI and machine learning initiatives.

 

IBM Cyber Security

 

IBM Security QRadar Suite

IBM Security QRadar Suite is the next evolution of IBM’s threat detection and response solutions designed around the modern security analyst experience.

 

1. QRadar SIEM

Centralized Visibility and Real-time Detection combining AI, User Behavior & Entity Analytics and Network Detection & Response. QRadar SIEM empowers you to address your most important security challenges.

 

• Gives you complete visibility into your entire environment. It collects data from endpoints, network devices, cloud environments and even other data lakes
• Then it applies advanced analytics to prioritize your most critical threats.
• We support AI and give you the option to automatically investigate threats so you can accurately triage incidents faster
• And it provides deep search capabilities so you can proactively hunt threats.

 

 

1. QRadar SOAR

Streamline your SOC with an automated and intelligent response using the industry’s most open and interoperable SOAR platform

 

The SOAR Enable clients to

• Respond faster – bring in alerts from disparate data sources and work on a single dashboard for investigation and response.
• Unify workflows – take a more holistic approach to case management – custom layout, adaptable playbooks, and tailored response. This facilitates getting started quicker, reduces complexity, and helps improve the incident response process.
• Use AI and automation to bridge the skills gap – artifact correlation, investigation, and case prioritization is automated, even before someone touches the case. The playbook evolves as the investigation proceeds, with threat enrichment happening at each stage of the process.
• Prepare for and respond to privacy breaches – integrate privacy reporting tasks into your overall incident response playbooks and work together with privacy, HR and legal teams to help address regulatory requirements with 180+ international privacy and data breach regulations built-in.
• Manage costs and time with prebuilt integrations from a broad ecosystem of 300+ connectors, while helping your team respond more quickly and effectively, cutting response time by up to 85%.

 

1. Guardium Data Security Center

Empowers organizations to protect sensitive data throughout their lifecycle.

 

IBM Guardium Data Protection

IBM Guardium Data Protection is data security software in the Guardium family of IBM Security products. It is comprehensive data protection software that guards on-premises and cloud data stores through features such as data activity monitoring and analytics, near real-time threat response workflows, and automated compliance auditing and reporting.

 

• Unified and consistent policies for security and compliance
• Granular, real-time visibility of the Who, What, When, and How
• Automated policies for SOX, PCI-DSS, GDPR, NYDFS, etc.
• Advanced analytics to uncover potential risk and suspicious activity
• Tight integration with SIEM, Change Ticketing, PAM, etc.
• Lightweight OS agent will not impact database performance
• Segregation of Duties upheld vigorously

 

IBM Guardium Data Detection and Response (DDR)

Provides real-time threat detection and automated response to potential data breaches and exfiltration attempts. It works in conjunction with Guardium Data Protection (GDP) to enhance the overall data security posture of an organization. DDR allows hybrid monitoring of critical data stores across hybrid assets including traditional databases on-premise and cloud data services.

 

DDR also allows threat detection in a configurable rule set and generative AI to help improve the user experience. By implementing Guardium Data Detection and Response, organizations can enhance their data security posture, detect and respond to potential threats more quickly, and comply with various regulations and standards.

 

Data Security Posture Management

Enterprise data is spread far and wide in the cloud, which could expose the enterprise to data risks and compliance violations. IBM Guardium Data Security Posture Management (DSPM) is an agentless, cloud-native solution designed to automatically and continuously discover, classify, monitor, and secure sensitive data across hybrid environments and Software as a Service (SaaS) application.

 

Guardium DSPM is the one-stop shop for discovering shadow data, automatically classifying the discovered data, analyzing data flow between clouds, and uncovering data vulnerabilities with continuous monitoring. This plug-and-play solution connects with cloud data stores and SaaS applications within minutes, offering instant value to the enterprise and enabling them to answer critical questions about their cloud data.

 

Guardium Discovery & Classification (D&C)

A feature within the Guardium Data Security Center platform that helps organizations identify and classify sensitive data across various data sources. It uses advanced algorithms and machine learning techniques to scan and analyze data, detecting sensitive information such as personally identifiable information (PII), financial data, and intellectual property.