Purpose-built agentic AI that strengthens identity data, applications, cloud and network security operations
Autonomous defense, coordinated across the enterprise
As AI, hybrid cloud and digital ecosystems accelerate business change, protection often remains manual, fragmented or added after deployment. Organizations need security capabilities that operate continuously within transformation and scale as identities, data, applications, cloud environments and networks change.
IBM® Autonomous Defense Agents (ADA) are a coordinated family of purpose-built agentic AI assets within IBM CyberDefend® and IBM’s broader Autonomous Security approach. They complement existing security technologies and operating models by automating and scaling protection across identities, data, applications, cloud environments and networks. With appropriate human oversight, ADA helps reduce manual effort, improve operational efficiency and keep protection moving at the pace of business change.
IBM IDEA works with Microsoft Purview DLP to investigate and prioritize data-risk events with agentic AI. By bringing user, activity and policy context into each investigation, it helps analysts reach explainable findings faster, reduce manual effort and focus on the events that matter most.
IBM DASC helps development teams improve application security earlier in the lifecycle by automating DevSecOps tasks. It scales threat modeling and secure engineering, reducing release rework, remediation efforts and reliance on scarce security experts.
IBM® AskIAM™ streamlines identity operations across workforce and non-human identities, including service accounts, APIs, workloads and AI agents. Agentic automation reduces manual effort, improves efficiency and allows teams to focus on risk and governance.
IBM ASC helps organizations maintain a consistent security posture by continuously identifying misconfigurations, monitoring compliance and enforcing policies across cloud, on-premises and edge environments, reducing complexity and remediation efforts.
IBM Adaptive Defense automates low-risk policy changes and speeds policy authoring, validation and deployment. It reduces effort and configuration errors, allowing security teams to focus on risk decisions.
Use cases
- Data risk
- Secure software
- Identity operations
- Cloud posture
- Network changes
- Cyberdefend capability: Quantum safe
Focus analysts on the events that matter most
Help data-security teams reduce investigation backlogs and reach confident decisions faster. Agentic investigation brings relevant context together, prioritizes meaningful events and supports analyst-led remediation.
Build security into delivery without slowing development
Help development teams address security earlier, reduce release rework and avoid costly remediation after deployment—while making better use of scarce application security expertise.
Reduce manual work as identity environments grow
Streamline routine identity processes across workforce and machine identities so teams can operate more efficiently and focus on higher-value risk and governance priorities.
Maintain consistent protection as cloud environments change
Help cloud teams reduce configuration drift, strengthen policy consistency and address issues earlier as workloads scale across hybrid environments.
Accelerate routine changes without weakening control
Automate low-risk network policy work to reduce operational friction and preventable errors while enabling specialists to focus on higher-value risk decisions.
Prepare cryptography for the quantum era
Identify quantum-vulnerable cryptography, prioritize remediation and plan a phased transition to quantum-safe protections—helping safeguard long-lived data and maintain digital trust as standards and risks evolve.
Insights
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