Agentic AI is beginning to reshape malware detection and broader security operations. These systems are being used not to replace humans, but to take on the lower value jobs that have historically tied up analysts — from triaging alerts to reverse-engineering suspicious files.
This week's security roundup covers the Anubis web AI firewall, AI exploit generation, a vulnerability in CodeRabbit, the potential illegality of adblocking in Germany, a Microsoft Copilot audit log issue, and a disputed Elastic EDR vulnerability.
This Gist contains the system prompt for Claude Code, Anthropic's CLI for Claude. It details the tool's purpose, instructions for use, tone, proactive behavior, code style guidelines, task management, and references.
This article details significant security vulnerabilities found in the Model Context Protocol (MCP) ecosystem, a standardized interface for AI agents. It outlines six critical attack vectors – OAuth vulnerabilities, command injection, unrestricted network access, file system exposure, tool poisoning, and secret exposure – and explains how Docker MCP Toolkit provides enterprise-grade protection against these threats.
A curated guide to code sandboxing solutions, covering technologies like MicroVMs, application kernels, language runtimes, and containerization. It provides a feature matrix, in-depth platform profiles (e2b, Daytona, microsandbox, WebContainers, Replit, Cloudflare Workers, Fly.io, Kata Containers), and a decision framework for choosing the right sandboxing solution based on security, performance, workload type, and hosting preferences.
Grammarly has achieved ISO/IEC 42001:2023 certification, demonstrating its commitment to responsible AI development and deployment, focusing on security, transparency, and alignment with human values.
The article discusses the security risks and challenges associated with the increasing use of AI agents in enterprise workflows. It highlights concerns about data access, privacy, and the potential for new vulnerabilities in multi-agent systems. Experts emphasize the need for careful management of agent identities and access permissions to mitigate risks.
Google is introducing new AI-powered, real-time protections for Pixel users to combat the $1 trillion in annual fraud. These include Scam Detection and enhanced Google Play Protect features designed to protect users from fraudulent calls and malicious apps while maintaining user privacy.
Companies are increasingly looking for job candidates with skills in machine learning (ML) and large language models (LLMs) to fill cybersecurity jobs. LLM SecOps and ML SecOps are becoming must-have skills to address the risks associated with artificial language.
This Splunk Lantern blog post highlights new articles on instrumenting LLMs with Splunk, leveraging Kubernetes for Splunk, and using Splunk Asset and Risk Intelligence.
