Tag: aisecurity
5 articles
AI in security: Must-Have Best Practices for Resilience
AI can supercharge defenses — but only if we secure the AI stack; discover practical best practices to protect data, harden models, and keep automation from becoming a single point of failure.
AI security Must-Have: Best Defense Tactics
PwC finds organizations are now prioritizing AI security over cloud and network defenses, reallocating budgets to protect models, training data and inference pipelines from novel attacks. That shift means stronger governance, adversarial testing and monitoring are needed to make AI a strategic asset rather than a new liability.
AI security risks: Critical Must-Have Defense Guide
AI’s power to boost productivity is now drawing attackers to the hardware, APIs and networks that support it, creating practical risks beyond model accuracy. Organizations that treat security as an afterthought must act now—hardening firmware, clamping down on APIs and improving observability—before vulnerabilities turn into costly breaches.
Munk School: Exclusive, Must-Have Lessons on AI Risk
A year at the Munk School showed me how bridging rigorous tech research with messy policy and everyday life can turn abstract AI and cybersecurity risks into practical solutions. From reading groups to Citizen Lab collaborations, the experience proved that durable governance comes from interdisciplinary practice, public engagement, and patient, evidence-driven work.
AI risk management: Must-Have Essential Certification
ISACA’s new AAISM certification equips security leaders with practical skills to spot, govern, and mitigate AI risks as organizations race to adopt generative models. By turning AI-specific hazards into actionable controls and a shared language across teams, it aims to move businesses from reactive firefighting to proactive, auditable AI governance.