This advisory describes an ecosystem-level risk that emerges when AI agents are able to autonomously read and act on untrusted content while operating with user-level permissions in a web browser.
MoltBot(formerly Clawd Bot), the locally running, open-source AI agent named after the Lobster workflow shell that powers its agentic loop, has rocked an AI community that, just weeks ago, was so in love with its own hype it would have yawned at literal magic.
OpenClaw(formerly Clawd Bot, MoltBot), the locally running, open-source AI agent named after the Lobster workflow shell that powers its agentic loop, has rocked an AI community that, just weeks ago, was so in love with its own hype it would have yawned at literal magic.
Small business (SMB) cybersecurity has never been simple, but it’s become even more complex in recent years. Today’s businesses have to deal with an ever-growing number of apps and tools to secure, and this complexity is naturally going to be far harder for small teams to manage. Particularly for very small businesses.
Phishing attacks are everywhere these days. People encounter them while shopping, job hunting, reading work emails, and checking personal texts. Thanks to AI-powered scammers, phishing has become both more common and harder to spot, leading to disastrous consequences. A phishing attack on a business costs an average of $4.8 million, and attacks on individuals can drain bank accounts and wreck credit scores.
It’s easy to see how SaaS sprawl happens if you picture the moment it starts. A team is blocked, someone needs a tool ASAP, and the answer to their problems lies just behind a free trial, so they sign up for a new tool. No one is being careless. They’re being efficient. The problem is that follow-up rarely keeps pace with new sign-ups, especially when the card on file belongs to "the company" and the requester has already moved on to the next priority.
Unused SaaS licenses are a budget drain and a security risk. The need to easily track and manage SaaS licenses and identify unused ones is a challenge that every modern organization faces.
AI-assisted development crossed the “cool demo” threshold long ago. It is now a daily workflow. Generate code. Refactor. Run tests. Spin up infrastructure. Deploy.