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#Cybersecurity

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Open Source

Bumblebee: Perplexity's Read-Only Dev Endpoint Scanner

Bumblebee is Perplexity's open-source, read-only supply-chain scanner for macOS and Linux developer endpoints, written in Go with zero non-stdlib dependencies under Apache 2.0. It inventories npm, PyPI, Go, RubyGems, Composer and other package managers plus MCP configs, editor extensions, and browser extensions, emitting NDJSON findings against operator-supplied exposure catalogs. Its read-only design never invokes package managers, so it cannot trigger malicious postinstall scripts during a scan.

Jul 28, 2026 · 6 min read
Open Source

Strix: The Open-Source AI Pentester That Writes Exploits

Strix is an open-source (Apache-2.0) AI penetration-testing tool with ~39,000 GitHub stars. Its autonomous agents dynamically run your app, exploit OWASP Top 10 vulnerabilities, and validate each finding with a working proof-of-concept, cutting the false positives of static scanners. It installs via a single curl command, needs Docker plus an LLM API key, is model-agnostic through LiteLLM, and drops into CI/CD with a non-interactive mode that fails builds on findings.

Jul 24, 2026 · 5 min read
Open Source

OpenClaw: The 383K-Star AI Agent With a Security Problem

OpenClaw is a free, self-hosted, model-agnostic AI agent that runs as a persistent background daemon and acts across WhatsApp, Telegram, Slack, and Discord. It became the fastest-growing repo in GitHub history (383K+ stars) but carries serious security flaws: authentication off by default, plaintext credential storage, tens of thousands of internet-exposed instances, and fake installers spreading infostealer malware. Run it only from the official repo, behind a VPN, with auth on and scoped credentials.

Jul 22, 2026 · 6 min read
AI News

Project Perception: Microsoft's Cheaper Rival to Claude Mythos

Microsoft is reportedly developing Project Perception, a multi-model AI security platform that routes vulnerability-scanning tasks across models from Microsoft, OpenAI, and Anthropic to reserve expensive frontier calls for high-value steps. Its pitch is matching Anthropic's Claude Mythos on capability while costing far less. Microsoft has not officially confirmed details, so the news should be treated as a credible report pending benchmarks.

Jul 21, 2026 · 5 min read
AI News

GPT-5.6 Sol: OpenAI's Best Model, Held Back by Washington

On June 26, 2026, OpenAI previewed the GPT-5.6 series — Sol (flagship), Terra (balanced, 2x cheaper than GPT-5.5), and Luna (fastest, cheapest) — but restricted access to trusted partners at the US government's request due to the models' strong cybersecurity capabilities. OpenAI paired the release with its most robust layered safeguard stack and said it does not want government pre-release review to become the default.

Jul 2, 2026 · 6 min read
Tech Tips

MCP Security: A 2026 Hardening Playbook After CVE-2025-6514

A practical 2026 security playbook for Model Context Protocol agents. It explains MCP-specific threats (prompt injection, tool poisoning, rug pulls, confused-deputy), dissects the critical CVE-2025-6514 mcp-remote RCE, and gives concrete hardening steps: patch to 0.1.16, enforce OAuth 2.1 over HTTPS, isolate servers, gate destructive actions, and audit agent activity.

Jun 2, 2026 · 7 min read
Tech Tips

Prompt Injection: A 2026 Defense Playbook for AI Agents

A defense playbook for prompt injection in AI agents. It explains why the attack is unsolvable at the model layer, frames the threat with Simon Willison's lethal trifecta (private data, untrusted content, external communication), and prescribes layered controls: architectural separation, least-privilege tools, input filtering, egress allowlisting, circuit breakers, and hardened models, which can cut attack success from 73.2% to 8.7%.

May 30, 2026 · 6 min read
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