The technologies in this bucket focus on how organizations can become resilient by implementing human-centric security and privacy programs. They enable enterprises to create a culture of mutual trust and awareness of shared risks in decision making between many teams.
AI trust, risk and security management (AI TRiSM) is a great example of human-centric security and privacy and ensures AI model governance, trustworthiness, fairness, reliability, robustness, efficacy and data protection. It includes solutions and techniques for model interpretability and explainability, data and content anomaly detection, AI data protection, model operations and adversarial attack resistance. It will take two to five years to achieve mainstream adoption.
Other critical technologies in human-centric security and privacy include:
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Cybersecurity mesh architecture (CSMA), an emerging approach for architecting composable, distributed security controls that improve overall security effectiveness.
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Generative cybersecurity AI, which generates new derived versions of security-related and other relevant content, strategies, designs and methods by learning from large repositories of original source data.
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Homomorphic encryption (HE), which uses algorithms to enable computations with encrypted data and enables businesses to share data without compromising privacy.
- Postquantum cryptography (PQC), also called quantum-safe cryptography, algorithms designed to secure against both classical and quantum-computing attacks.
