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AI Security Discussions
Technology review
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PANEL: Scoping AI-Powered Risk Assessment Platforms
PANEL
Securing AI Agents: Trust Scores, Dynamic Governance, and Practical Guardrails
PANEL
Experts dissect how AI widens the attack surface and how next-generation risk platforms combine small and large language models, human review, and semantic policies to protect unstructured prompts, agents and non-human identities. They tackle encryption and key management, model-extraction threats, explainable AI trust scores, dynamic governance (NIST/MITRE mapping) and pragmatic prioritization—showing real-world guardrails to make autonomous agents safe and auditable.
AI-Native Protection for AI Applications and Agents
Straiker protects agentic AI applications in real time. This demo shows how we detect agentic threats like prompt injection, PII data leakage, and tool misuse to create ransomware while our autonomous red teaming simulates real-world attacks to keep your AI secure at every step.
Cloud Security Megatrends & Risk Management Perspectives
This tour of the Protect AI platform focuses on the Guardian component, the main capability of the most comprehensive platform for securing your AI. You'll see show how to implement AI-SPM capabilities to see, know, and manage security risks and defend against unique AI security threats.
Technology review
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PANEL: Gauging Enterprise Readiness for Agentic AI Security
PANEL
Gauging Enterprise Readiness for Agentic AI Security
PANEL
This panel discusses ways in which enterprises can gauge readiness for agentic AI security, covering threat models, risk assessment, defensive tooling, regulatory compliance, and real‑time governance playbooks. Experts share pragmatic advice—continuous automated red‑teaming, identity and data posture controls, discovery of shadow AI, and concise board‑level narratives—to help security teams prioritize fast, actionable steps that reduce risk and enable safe AI adoption.
Achieve AI Security and Compliance
The Enkrypt AI product demo showcases the platform's capabilities in delivering secure and compliant AI solutions, including agents, chatbots and multimodal systems. It emphasizes automated red teaming to identify vulnerabilities, real-time guardrails for risk mitigation and continuous compliance monitoring, ensuring that enterprises can deploy generative AI applications safely and efficiently. The demo highlights how Enkrypt AI helps organizations navigate complex regulatory landscapes while maintaining operational integrity.
Adopt and Scale AI with Total Confidence
WitnessAI provides 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. We bring network level visibility to your entire security stack, eliminating blind spots and enforcing policies without agents, browser extensions, or disruptions to your workflows.
Technology review
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Benchmarking Continuous AI Risk Detection & LLM‑Guardrail Remediation
Enkrypt AI
Powered by the world's most advanced AI threat database, Enkrypt’s capabilities are based on proprietary databases that combine insights from GenAI applications, open source data, and our dedicated ML research. Detects threats, removes vulnerabilities, and monitors performance for continuous insights.
Executive Overview
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.
Sahil Agarwal
CEO
Enkrypt AI
Platform Demo
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.
Technology review
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Autonomous AI Agents for End-to-End SOC Operations: eliminating alert fatigue and automating the full triage-to-resolution lifecycle
Simbian
Ambuj Kumar, Co-founder and CEO of Simbian, discusses AI SOC, alert fatigue, and tribal knowledge — exploring how AI agents can automate triage and fundamentally change security operations.
Analyst Briefing
Ambuj Kumar discusses AI SOC, alert fatigue, and tribal knowledge — exploring how AI agents can automate triage, investigations, and MDR workflows while preserving human judgment.
Ambuj Kumar
Co-founder & CEO
Simbian
Simbian Platform Demo
A walkthrough of Simbian's AI-powered security operations platform — alert triage, investigation workflows, pentesting, automated response, reporting, and continuous SOC improvement.
Technology review
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Assessing “Always‑On” AI Security: Model Vetting, Red‑Teaming & Runtime Monitoring
Protect AI
Each product in the Protect AI suite is backed by 17k+ security researchers from the huntr community, and in partnership with Hugging Face, our first- and third-party threat research feeds our products so teams can stay ahead of attackers.
Executive Overview
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.
Richard Stiennon
Research Analyst
IT-Harvest
Ian Swanson
CEO and Founder
Protect AI
Platform Demo
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
Technology review
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Testing Agentic Security for Agentic AI Applications
Straiker
Agentic-native models for detection and minimal false positives, sub-second guardrail and detection performance designed for real production workloads and enterprise-grade privacy, isolated data paths, and adaptive guardrails that continuously improve without human tuning are the hallmarks of Straiker’s technology.
Analyst Briefing
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.
Ankur Shah
Co-Founder & CEO
Straiker
Platform Demo
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.
Technology review
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Comparing Unified AI Security Platforms for LLMs, RAG & AI Agents
Noma Security
To secure the entire AI ecosystem you must have full visibility and control over LLMs, RAG systems and autonomous agents. Without this comprehensive security and governance you cannot ensure your organization is safe, compliant and ready for the AI-driven future
The Role of AI at Noma
Technology review
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Measuring Real‑Time Visibility & Behavior‑Based Governance for Every Model & Agent
Witness AI
Govern human and AI agent workforces with network wide visibility and behavior based controls. Protect models and applications with runtime defense, enabling innovation with an enterprise-first, private instance architecture.
Executive Overview
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.
Trevor Welsh
VP of Products
Witness AI
Platform Demo
See how we enable you to observe, control and protect all aspects of AI usage in your environment
Trevor Welsh
VP of Products
Witness AI
Technology review
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Profiling Agentless SaaS Controls to Minimize Promptware & Anomalous AI Behavior
Zenity
Protection across the entire Agent ecosystem and organizations’ modern environments (e.g. misconfigurations, tool usage, triggers, and runtime behavior) to give security teams a unified, intent-aware view of agent activity. Our dynamic graph stitches together build-time and runtime data, revealing how individual issues compound into real risk.
Analyst Briefing
Michael Bargury
Co-Founder & CTO
Zenity
Technology review
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Securing AI Agents and Non-Human Identities at Enterprise Scale
Token Security
Token Security delivers continuous discovery, lifecycle management, and governance of AI agents and non-human identities across hybrid and multi-cloud environments — with an AI-native platform built for the era of agentic workflows.
Analyst Briefing
Ido Shlomo (Co-Founder & CEO, Token Security) discusses the challenges of securing non-human identities at scale and Token Security's approach to NHI governance.
Ido Shlomo
Co-Founder & CEO
Token Security
Technology review
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Evaluating AI‑Native Terminals for Technical Ops: Security & Compliance
Kindo
How to bring Agentic execution to security, DevOps, and IT via one platform where AI analyzes context, takes action across systems, and verifies outcomes in production.
Platform Demo
A full walkthrough of the Kindo agentic automation platform, covering platform architecture, DevSecOps solutions, user experience, admin controls, and Kindo’s proprietary offensive security model