Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

AI Quality EXPLODES Unlock Productivity SECURELY & FAST! #podcast #cybersecurity

On this episode of Masters of Data, Adam White and David Girvin dig into Sumo Logic's freshly launched compliance apps for Claude, ChatGPT, and LiteLLM, and why your IT team will want to pay attention before the token bill arrives. We unpack how enterprises can move beyond the "AI black hole" era of shadow IT and actually get eyes on who is using what, how much it is costing, and whether any of it is moving the needle.

Why Traditional Security Fails Against AI Attacks | Fidelis Deception

AI-powered cyber attacks are evolving faster than traditional defenses can respond. Modern attackers use valid credentials, native tools, and AI-assisted reconnaissance to move through enterprise environments without triggering conventional security controls. Signature-based detection and behavioral analytics often struggle to detect these advanced intrusions before damage is done. In this video, discover how Fidelis Deception helps security teams detect and disrupt AI-accelerated attacks by turning attacker reconnaissance into immediate detection.

Monitor Claude Enterprise activity with Datadog Cloud SIEM

As Claude adoption expands across enterprises and workflows, security and compliance teams need to understand who is using Claude Enterprise, how it is accessed, and how it is administered and configured across the organization. The Claude Compliance API gives organizations access to valuable activity data that supports security monitoring, investigations, and governance initiatives.

Everyone Is Buying AI Guardrails. But Agents Have the Keys to the Car.

The first wave of AI security looked a lot like a WAF for LLMs: inspect the prompt, filter the output, block the obvious bad patterns. That was useful. It still is. But it was built for systems that mostly talked. Agents are different. They use tools, call APIs, access data, and change things. The confusion I keep seeing is simple: many teams think securing the model means securing the agent. It does not.

CI/CD Security Controls for Mobile App Pipelines: The DevOps Manager's Toolkit

You run the pipeline. You own the releases. And somewhere between the security team's findings and the development team's sprint, you're the one getting asked to explain why nothing is getting fixed. That's not a security problem. It's a coordination problem, and it's structural. According to the DuploCloud AI + DevOps Report, Sep 2025, The pipeline is under more pressure than it's ever been. The attack surface is wider than it's ever been.

Turning Cloudflare's threat indicators into real-time WAF rules

Cloudflare’s Threat Events provides security analysts with a window into the global threat landscape. The platform offers a peek into the immense traffic that Cloudflare processes every day, so you can see in real time which IPs are attacking specific industries or which threat actors are trending globally. However, translating that visibility into active mitigation has often been a manual, reactive process.

AI Gateway vs. MCP Gateway: Model Control Tool Control

As enterprises adopt AI agents, two control points are becoming common: AI Gateways and MCP Gateways. They sound similar, but they solve different problems. An AI Gateway controls how applications interact with AI models. An MCP Gateway controls how AI agents interact with tools, systems, and data exposed through MCP. Both are useful. Neither is enough on its own.

Report: AI-Enabled Social Engineering Attacks Are on the Rise

Threat actors are increasingly using AI-enabled social engineering to get around technical security measures, according to a new report from Visa. Social engineering attacks were behind the largest number of losses in the second half of last year. “From July to December 2025, Visa identified nearly $1 billion in scam-related activity, making scams the single largest category of consumer payment fraud,” Visa says.

What is AI Policy Enforcement and How Do You Implement It?

Here’s the reality that most security teams are already living: Over 80% of employees are using unapproved AI tools at work, and nearly half are actively hiding them from IT. The question facing every organization is no longer whether to adopt artificial intelligence — it’s how to secure the sensitive data flowing into it every single day. This is the governance gap.