Secure & Scale: The Turbocharge Playbook for Amazon Q - Seguridad Mania.com - España y América Latina

The transformative power of AI is undeniable, yet unlocking its full potential requires enterprises to secure their enterprise data to safely scale AI systems. Building trustworthy AI Assistants and Agents necessitates a comprehensive understanding of your organization's data landscape – especially unstructured data – coupled with fine grained access controls to protect against accidental leakage of sensitive data, clever cyber attacks and inappropriate internal access. Join Nikhil Girdhar from Securiti and Shanmugam Kandaswamy from AWS as they discuss how to apply Securiti DSPM to accelerate the safe deployment of enterprise AI assistants and agents with Amazon Q. Gain technical insights on how to establish proactive data security and governance, and mitigate emerging AI risks, such as OWASP Top 10 for LLMs. Attendees will learn how to: • Create comprehensive Data+AI mapping with full data lineage and provenance • Prevent unintended data access by users of AI Assistants by enabling stronger data access controls • Mitigate emerging AI risks such as prompt injections and sensitive data exposure • Improve the efficacy of AI responses by minimizing redundant, obsolete, and trivial (ROT) data