Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

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Tigera: Securing Autonomous AI Agents in Production

While the industry focuses on LLM accuracy, technical decision-makers are facing a more complex challenge: How do we govern the autonomous AI agents that will soon operate across our entire infrastructure? Without a dedicated control plane, autonomous agents introduce significant risks to identity, authorization, and auditability. This session moves past the AI hype to discuss the architectural constraints and security patterns required to run agentic systems in highly regulated, enterprise environments.

Tigera: Step-by-Step VM Migration Workshop

If you have VMs running in Kubernetes you need a way to migrate them between nodes without dropping connections, breaking network configurations or accidentally bypassing security policies. With networking in bridge mode, by far the most popular configuration, VMs need persistent IP addresses rather than the ephemeral ones Kubernetes assigns to pods by default. This workshop will guide you through how this is achieved.

GitProtect: Protecting DevOps Environments from Modern Cyber Threats & Data Loss - Security Lessons and Resilience Strategies for 2026

Modern DevOps environments are evolving faster than ever... and so are the threats targeting them... In 2025, attackers didn't just exploit vulnerabilities. They abused trust. Trusted repositories. CI/CD pipelines. AI tools. Cloud identities. Even automation itself. Some incidents impacted hundreds, others silently spread across thousands of repositories before anyone noticed. So, what should DevOps and security teams really prepare for?
Featured Post

AI in the UK: Driving Innovation Without Expanding Cyber Risk

Artificial intelligence is no longer a future ambition for UK organisations. It is already shaping how decisions are made, how services are delivered, and how quickly businesses can respond to change. From automation and analytics to customer engagement and operational optimisation, AI is becoming an integral part of the modern enterprise.

Balancing Protection and Performance in Retail: AI Guardrails for the Modern Enterprise

The video emphasizes the critical need for due diligence when deploying AI, focusing on establishing ethical parameters and safety guardrails. The speaker highlights that for a retailer, security is paramount to protect customer data and credit/insurance services while ensuring a seamless, high-performance user experience. Netskope provides the necessary ethical guardrails and safety parameters required to deploy AI technologies without compromising security.

How Weak AI Governance Increases Organizational Exposure to Risks

‍ Artificial intelligence (AI) is transforming businesses rapidly, but weak AI governance creates significant risks. Without proper oversight, organizations face costly data breaches, operational failures, and damage to their reputation. This article explains why strong AI governance is essential to managing these risks.

What Is the IAM Maturity Model? A Complete Guide

Most organizations do not fail IAM because they chose the wrong technology. They fail because identity controls evolve unevenly across the environment. MFA may protect workforce users but not contractors. Provisioning may be automated for SaaS applications while privileged accounts are still managed manually. Access reviews may exist on paper but lack enforcement, visibility, or accountability.