Explore how modern security technologies work in practice and the problems they’re designed to solve. Solutions like IBM Guardium® help protect sensitive data by giving organizations visibility into where their data resides, who is accessing it and how to reduce risk across complex environments.
By learning how these tools approach challenges like data visibility, compliance and threat detection, you can build a clearer picture of what effective data security looks like in real-world scenarios.
As AI becomes more embedded in business decisions, understanding how to govern it responsibly is essential. Solutions like IBM watsonx.governance® help organizations manage the lifecycle of AI models—providing visibility into how models are built, deployed and used.
By exploring how these tools address challenges such as bias detection, transparency and regulatory compliance, you can better understand what it takes to build trustworthy, accountable AI systems in practice.
Managing who has access to what is a core part of modern security. Solutions like IBM Verify focus on identity and access management—helping organizations understand how users authenticate, what resources they can access and how to reduce risks associated with unauthorized access.
By exploring how these tools handle challenges such as authentication, identity governance and zero‑trust approaches, you can gain a clearer understanding of their role. This insight shows how secure and seamless access is maintained across digital environments.
Securing modern infrastructure requires understanding how systems are provisioned, configured and managed at scale. Solutions like IBM HashiCorp® help organizations automate and standardize infrastructure and security practices—making it easier to control access, manage secrets and enforce consistent policies across environments.
By exploring how these tools address challenges such as infrastructure as code, secrets management and secure provisioning, you can better understand their role in modern environments. This perspective shows how security is built directly into the foundation of cloud and hybrid systems.
With work happening across a wide range of devices, understanding how to manage and secure endpoints is increasingly important. Solutions like IBM MaaS360® focus on unified endpoint management—helping organizations gain visibility into devices, enforce security policies and protect data across mobile and remote environments.
By exploring how these tools address challenges such as device management, threat detection and secure access, you can better understand how organizations maintain security while supporting flexible ways of working.
Protect AI systems, models and data from emerging threats and misuse.
Ensure data quality, ownership and governance across the AI lifecycle
Deploy AI responsibly with transparency, monitoring and control.
Meet regulatory expectations with confidence and consistency
Protect enterprise data across its lifecycle and simplify compliance requirements.
Define ownership, quality and control of data so teams can trust, share and use it responsibly.
Improve the speed, accuracy and productivity of security teams with AI-powered solutions.
Good governance isn’t just about compliance, it’s an accelerator to scaling AI.
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Jeff Crume breaks down key findings from the IBM 2025 Cost of a Data Breach Report, exploring AI security risks, shadow AI, phishing attacks and IAM strategies.
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Watch how Jeff Crume, IBM Distinguished Engineer, describes the many methods that bad guys and hackers use that you should know about so you can protect yourself.