Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Agentic AI Security Guardrails: A Deployment Guide for SOC Leaders

See how Torq harnesses AI in your SOC to detect, prioritize, and respond to threats faster. Request a Demo Noam Cohen is a serial entrepreneur building seriously cool data and AI companies since 2018. Noam’s insights are informed by a unique combination of data, product, and AI expertise — with a background that includes winning the Israel Defense Prize for his work in leveraging data to predict terror attacks.

Before you replace your SIEM: AI-driven security requires operational context, not just centralized data

Artificial intelligence is rapidly reshaping how security operations centers (SOCs) function. Many organizations are now evaluating AI-native architectures to reduce workload and accelerate investigations. A new architectural narrative is emerging. A growing set of AI-native security vendors are proposing centralizing telemetry in a warehouse and deploying AI agents to replace the operational role of the SIEM. They want to centralize telemetry, apply AI, and automate the SOC.

Beyond the AI Hype with Netskope: Why Governance is the Bedrock of AI & Cloud Integration at Embecta

Modern enterprise solutions—ranging from cloud data and power platforms to agentic AI and API connections—require rigorous oversight. Every platform integration must be evaluated through the lenses of risk, data compliance, and privacy to ensure secure operations. Netskope provides the necessary visibility and control for all data paths, including APIs and cloud-based AI platforms, helping Embecta enforce the data compliance and privacy standards required when integrating disparate applications.

Episode 15 - The Right Eyes: Mythos, and the Future of Vulnerability Discovery

The emergence of advanced large language models like Anthropic's Mythos represents an epochal shift in cybersecurity, fundamentally altering how zero-day vulnerabilities are surfaced and remediated. In this episode, host Richard Bejtlich sits down with Corelight Co-founder Greg Bell to analyze the security implications of this AI-driven bug explosion, highlighting recent AI-assisted vulnerability discoveries across infrastructure mainstays like FreeBSD and Firefox.

New Security Gap: Your WAF Has No Idea What Your AI Is Doing

In this webcast, we get into why signature-based protection breaks down in AI-first environments, what behavioral detection and positive security models actually look like in production, and what it takes to evaluate whether your runtime tools are genuinely adapting to your environment or just adding noise to your stack.

Snyk announces Anthropic updates: Evo integrates with Claude Enterprise, and Snyk Desk comes to Claude Desktop

Today, we're announcing two new integrations with Anthropic that cover both sides of AI-assisted development. Evo by Snyk now integrates with Anthropic's Claude Enterprise, giving security and compliance teams a complete inventory of their Claude environment models, approved MCP servers, per model risk signals, and tool-level permissions in the platform they already use to govern the rest of the stack.

Build Custom, High-Impact Training with KnowBe4's Content Creation Agent

In the world of security awareness training, a comprehensive library of relevant and engaging content is a necessity. But even the best training can feel limited when you need to talk about your specific VPN rules, a policy that changed this morning, or a novel threat uniquely targeting your industry today. When you need exactly the right training at the right time customized to your organization, what do you do?

CISA's GitHub Leak Is a Preview of the MCP Security Problem Every CISO Is About to Inherit

America's cybersecurity agency left its production credentials sitting in a public GitHub repo for six months. The same failure pattern is now being automated by AI agents in every enterprise running Cursor, Claude Desktop, or Copilot.

Common vulnerabilities in AI-developed applications

AI-assisted development tools are changing how software is built. From code generation and automated testing to rapid prototyping and full-stack application scaffolding, Large Language Models (LLMs) are increasingly being used to accelerate software delivery across startups, SaaS providers, and engineering teams. In many cases, these tools are delivering genuine operational value.

Predictive Indicators Every CX Leader Should Watch

Customer experience teams are under pressure to spot problems before they become visible in missed service levels, customer complaints or rising costs. Predictive indicators help leaders move beyond reporting what has already happened and start identifying where demand, performance or customer sentiment may shift next. For contact centres, the most useful signals are those that connect customer behaviour, operational capacity and team performance in a way that supports faster, better-informed decisions.