Expert-led sessions on AI security, compliance, and best practices.
Prompt injection remains one of the most prevalent attack vectors against LLM-powered applications. In this session, Dr. Vasquez walks through real-world attack patterns observed across our customer base and demonstrates scalable detection and mitigation strategies that security teams can deploy today.
Watch RecordingThe EU AI Act introduces mandatory risk classifications and compliance requirements for AI systems operating in European markets. James breaks down the regulatory timeline, explains which provisions apply to security teams specifically, and shows how automated governance tooling can dramatically reduce audit burden.
Watch RecordingModel drift, adversarial inputs, and unexpected behavioral changes can silently degrade AI system performance and security posture. Priya demonstrates our real-time monitoring pipeline, including anomaly detection thresholds, alerting workflows, and automated rollback triggers that keep production models safe.
Watch RecordingRetrofitting security into mature ML pipelines is expensive and error-prone. Alex presents a shift-left approach to ML security, covering secure data ingestion patterns, training environment isolation, model signing and verification, and deployment guardrails that integrate directly into existing CI/CD workflows.
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