Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Cybersecurity is in an arms race — attackers are using AI to launch deepfake fraud, polymorphic malware, and insider-driven threats at scale. But AI is also rewriting the rules for defenders. In this webinar, Sheik Abideen (Regional Sales Director, MEA) and Zubair Mukhtar Chowgale (Manager, Sales Engineering, APMEA) reveal how Securonix Unified Defense SIEM powered by Agentic AI helps overwhelmed SOC teams transform into proactive threat hunters.

Why you Should NOT Rely on GPT-5 for Code...

Use the Prompt Wizard in Egnyte Copilot, Ask, and Knowledge Base to easily improve your AI prompts.

As enterprises rapidly adopt agentic AI and large language models (LLMs) to automate critical business processes and access sensitive data, the traditional security playbook is no longer sufficient. The Model Context Protocol (MCP), a new connector for AI systems like Amazon Bedrock Agents, is revolutionizing enterprise integration—but it also introduces new risks. Join us for an in-depth session exploring how to secure MCP-based AI architectures using Teleport’s Infrastructure Identity Platform and AWS. We’ll cover.

AI consumes massive volumes of unstructured data — emails, documents, reports, and prompts. Hidden within them are sensitive details: customer PII, salary data, intellectual property, and confidential financial information. Without the right safeguards, one innocent prompt can lead to costly data leaks, compliance violations, and privacy risks. Traditional security tools like RBAC, DLPs, and prompt filters weren’t designed for AI. They fail because AI doesn’t see folders — it consumes raw context. That’s where Protecto’s Context-Based Access Control (CBAC) comes in.