AI Technology Showcase
Analyst BriefingAutonomous AI Agents for End-to-End SOC Operations: eliminating alert fatigue and automating the full triage-to-resolution lifecycle1
SimbianAmbuj Kumar, Co-founder and CEO of Simbian, joins Google Industry Analyst Anton Chuvakin to discuss AI SOC, alert fatigue, and tribal kno...
Executive OverviewBenchmarking Continuous AI Risk Detection & LLM‑Guardrail Remediation2
Enkrypt AIA discussion of Enkrypt AI’s approach to enterprise agentic AI security, covering policy-to-rule enforcement, adversarial testing, runtim...
Executive OverviewEvaluating AI‑Native Terminals for Technical Ops: Security & Compliance1
KindoAn overview of how Kindo brings agentic execution to security, DevOps, and IT operations — enabling AI to analyze context, take action ac...
Executive OverviewAssessing “Always‑On” AI Security: Model Vetting, Red‑Teaming & Runtime Monitoring2
Protect AIIan explains how Protect AI enables you to implement AI-SPM capabilities to see, know, and manage security risks and defend against uniqu...
Analyst BriefingTesting Agentic Security for Agentic AI Applications2
StraikerA discussion of Straiker’s approach to agentic AI security including prompt-injection, data leakage, tool manipulation, red-teaming, guar...
AI OverviewComparing Unified AI Security Platforms for LLMs, RAG & AI Agents1
Noma SecurityA walkthrough of Noma Security's unified AI security platform, covering LLM security, RAG protection, autonomous agent governance, and ho...
Executive OverviewMeasuring Real‑Time Visibility & Behavior‑Based Governance for Every Model & Agent2
Witness AIWitnessAI is building the guardrails that make AI safe, productive, and usable. Our platform allows enterprises to innovate and enjoy the...
Analyst BriefingProfiling Agentless SaaS Controls to Minimize Promptware & Anomalous AI Behavior1
ZenityProtection across the entire Agent ecosystem and organizations’ modern environments (e.g. misconfigurations, tool usage, triggers, and ru...
Executive InterviewAI-Powered Data Classification: automating sensitive data discovery and protection at enterprise scale1
KriptosDaniel Molina, EVP Global Sales at Kriptos, explains how AI-powered data classification automatically identifies, labels, and protects se...
Executive InterviewNatural Language Security Analytics: querying your security data the way you think about it1
AiqueryNicholas Comeau talks about how AI is used by Aiquery — enabling security teams to query and analyze their data using natural language, e...
Executive InterviewAI Security Posture Management: governing and securing your AI applications from development to production1
Singulr AIShiv Agarwal, CEO & Co-Founder of Singulr AI, discusses how comprehensive AI security posture management discovers AI assets, detects mis...
Executive InterviewAI Application Security Testing: automated red teaming and vulnerability assessment for LLM-powered systems1
Bonfy.aiGidi Cohen, CEO and Co-Founder of Bonfy.AI, explains rising AI-driven data risks, why legacy tools lack context and accuracy, and how Bon...
Executive InterviewExtended Security Visibility: unified threat detection across cloud, endpoint, and network attack surfaces1
WideFieldAbhay Kulkarni, CEO & Co-Founder of WideField, explains how unified security visibility correlates signals across cloud infrastructure, e...
Executive InterviewAI Model Security: detecting trojans, backdoors, and adversarial vulnerabilities in machine learning systems1
TrojAILee explains how adversarial AI risk emerged, why generative AI accelerated the threat, and how enterprises can assess and protect models...
Executive InterviewContinuous AI Red Teaming: automated adversarial testing throughout the AI development lifecycle1
MindgardPeter Garraghan, Founder & Chief Science Officer of Mindgard, discusses how continuous AI red teaming automatically tests models and AI-p...