IBM Security Roadmap
Generative AI, secure agentic frameworks, crypto-agility, and semiconductor innovations secure decentralized, multi-cloud environments.
Security
Roadmap
Strategic milestones
All information being released represents IBM’s current intent, is subject to change or withdrawal, and represents only goals and objectives.
You can learn more about the progress of individual items by downloading the PDF in the top right corner.
2029
Protect the full data lifecycle using cryptographic schemes with hardware acceleration and confidential computing.
Privacy-preserving technologies, such as fully homomorphic encryption (FHE) and confidential AI computing, will protect enterprise workloads against data breaches and adversarial attacks.
Why this matters for our clients and the world
Technologies such as fully homomorphic encryption and confidential computing will secure the full data lifecycle, enabling AI on always-encrypted data, even while it is being used.
The technologies and innovations that will make this possible
Fully homomorphic encryption and confidential computing will enable privacy-focused AI.
How these advancements will be delivered to IBM clients and partners
Tools for developing secure AI applications on encrypted data will include frameworks and crypto libraries for trusted execution environments and hardware acceleration.