Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Beyond the Prompt: Data Security in Generative AI Platforms

Generative AI tools have changed how people work and play online. Everyone is excited about the speed and creativity these systems offer. Users often type sensitive info into prompts without thinking about where it goes. Security experts worry about how these platforms handle personal data. It is easy to forget that anything typed into a public bot might be stored. Staying safe means knowing how to use these tools without giving away secrets.

MyClaw Detailed Review: Is This OpenClaw Managed Hosting Worth It?

I've been working in the AI tools space for a while now, and one thing that comes up repeatedly is the gap between open-source AI frameworks and the actual effort required to run them. OpenClaw is a great example - powerful, flexible, and genuinely useful for building AI agents. But getting it deployed and keeping it running? That's a different story. That's what led me to try MyClaw AI. Here's an honest look at what the platform actually offers, who it's for, and whether it's worth the cost.

Agentic AI at risk after MCP design flaw discovery? #ai #cybersecurity #podcast

In this week's Intel Chat, Chris Luft and Matt Bromiley discuss a design flaw in Anthropic's Model Context Protocol (MCP) that could enable large-scale supply chain attacks on agentic AI systems. Researchers at OX Security found that MCP's command execution allows malicious commands to run silently without sanitization checks or warnings.

AI Agent Sandboxing in Financial Services: Containing Blast Radius

Your progressive enforcement rollout is working. eBPF sensors are deployed across the cluster. Behavioral baselines are converging. Enforcement policies are generating from observed behavior, just like the observe-to-enforce methodology prescribes. Then your compliance officer walks over to the platform team’s desks and asks a question nobody anticipated: “Which agents are in observation mode right now?”

How to Detect AI-Mediated Data Exfiltration in the Cloud

Your SOC gets an alert from the CNAPP: an outbound connection from a pod in the ai-prod namespace to . The destination is in the allowlist. The payload size is 28 kilobytes — well under the DLP threshold. The agent’s service account has permission to invoke the email tool. By every check your stack runs, the traffic is normal. Forty minutes later, a customer support lead notices that an email went out containing a summary of 2,400 customer records that the agent had no business querying.

If "stdio" is a Vulnerability, So Is "git clone" - Notes on Riding the AI Vulnerability Trend

A developer clones a repository and opens it in VS Code at 10:47 a.m. Before their cursor blinks, six different configuration file formats on disk have a chance to execute shell commands on the host. A.vscode/tasks.json with runOn: folderOpen. A.devcontainer/devcontainer.json with initializeCommand. A post-checkout hook already sitting in.git/hooks/. A postinstall line waiting in package.json for the next dependency install. A.envrc in the project root.

Unlock the Power of Agents with JFrog's Skills and MCP Tools

Agents are writing code, suggesting dependencies, and reviewing PRs, without any knowledge about your trusted package sources, security posture, or governance policies. When agents operate without supply chain context, they introduce risk, create rework, and weaken the guardrails DevSecOps teams rely on to ship with confidence. JFrog is changing that.

The Three-Layer Strategy for Autonomous Agent Governance with Joe Hladik and Amit Malik

The race for AI dominance has created a dangerous imbalance between business velocity and cyber resilience. In this episode, host Caleb Tolin is joined by ⁠Joe Hladik⁠, Head of ⁠Rubrik⁠ Zero Labs, and Staff Security Researcher ⁠Amit Malik⁠ to break down the findings of their latest report on agentic adoption. The discussion centers on the Agentic Paradox. This is the technical reality that tools designed to automate high-level tasks are inherently built to find the most efficient path around obstacles, including existing security policies.

Introducing the CrowdStrike Shadow AI Visibility Service

Since the launch of CrowdStrike AI Security Services in 2025, our Professional Services team has yet to encounter an organization with an accurate inventory of the AI tools and services in use across its environment. One customer counted 150 agents in its inventory. We found over 500. Another had not approved agentic development at all; we discovered over 70 active agents.