AI Security Discussions

Ambuj Kumar, Co-founder and CEO of Simbian, joins Google Industry Analyst Anton Chuvakin to discuss AI SOC, alert fatigue, and tribal knowledge — exploring how AI agents can automate triage and fundamentally change security operations.

A discussion of Enkrypt AI’s approach to enterprise agentic AI security, covering policy-to-rule enforcement, adversarial testing, runtime guardrails, and how Encrypt builds trust infrastructure for autonomous AI.

A tour of Enkrypt AI’s policy engine, endpoint management, automated red-teaming, and runtime guardrails, showing how the platform secures and governs generative AI systems.

An overview of how Kindo brings agentic execution to security, DevOps, and IT operations — enabling AI to analyze context, take action across systems, and verify outcomes in production.

Ian explains how Protect AI enables you to implement AI-SPM capabilities to see, know, and manage security risks and defend against unique AI security threats, end-to-end.

Chris tours the Protect AI platform with a focus on the Guardian component, the main capability of the most comprehensive platform for securing your AI. Chris show how you can implement AI-SPM capabilities to see, know, and manage security risks and defend against unique AI security threats

A discussion of Straiker’s approach to agentic AI security including prompt-injection, data leakage, tool manipulation, red-teaming, guardrails, and how enterprises should prioritize AI security.

A full walkthrough of Straiker’s Ascend and Defend AI, showing automated red-teaming, runtime guardrails, and threat detection across RAG and agentic AI applications.

A walkthrough of Noma Security's unified AI security platform, covering LLM security, RAG protection, autonomous agent governance, and how enterprises can maintain control and compliance across their entire AI ecosystem.

WitnessAI is building the guardrails that make AI safe, productive, and usable. Our platform allows enterprises to innovate and enjoy the power of generative AI, without losing control, privacy, or security.

See how we enable you to observe, control and protect all aspects of AI usage in your environment

Daniel Molina, EVP Global Sales at Kriptos, explains how AI-powered data classification automatically identifies, labels, and protects sensitive data across your organization — ensuring consistent policy enforcement wherever data lives.

Nicholas Comeau talks about how AI is used by Aiquery — enabling security teams to query and analyze their data using natural language, eliminating the barrier between analyst intent and actionable insight.

Shiv Agarwal, CEO & Co-Founder of Singulr AI, discusses how comprehensive AI security posture management discovers AI assets, detects misconfigurations and data risks, and enforces governance policies across the enterprise.

Gidi Cohen, CEO and Co-Founder of Bonfy.AI, explains rising AI-driven data risks, why legacy tools lack context and accuracy, and how Bonfy.AI uses entity-aware analysis to secure data across AI flows and the full data lifecycle.

Abhay Kulkarni, CEO & Co-Founder of WideField, explains how unified security visibility correlates signals across cloud infrastructure, endpoints, and network traffic to detect and respond to modern multi-stage attacks.

Lee explains how adversarial AI risk emerged, why generative AI accelerated the threat, and how enterprises can assess and protect models and agents at scale.

Peter Garraghan, Founder & Chief Science Officer of Mindgard, discusses how continuous AI red teaming automatically tests models and AI-powered applications against adversarial attacks including prompt injection, jailbreaks, and data poisoning.