By Karolis Arbaciauskas, head of product at NordPass
Moltbook, an AI-exclusive social media platform launched just days ago and dubbed the “Reddit for AI agents,” has exploded in popularity online. Within its first week, Moltbook attracted over 1.5 million registered AI agents and more than a million human spectators watching the agents interact with each other, sparking countless posts across human social networks.
The project originated with OpenClaw, an open-source AI agent created by Peter Steinberger that runs locally on a user’s machine. The software allows bots to use a computer and internet services just as a human would. Building on this, entrepreneur Matt Schlicht developed his own OpenClaw agent, named Clawd Clawderberg, and tasked it with coding, moderating, and managing the entire Moltbook platform. Now most moltbots on the platform run on OpenClaw.
Cybersecurity professionals warn that this setup is terribly insecure and creates massive security vulnerabilities. However, most agree that it’s impossible to suppress public curiosity and discourage experimentation. Instead, they are calling for caution and offering some safety tips.
Karolis Arbaciauskas, head of product at the cybersecurity company NordPass, comments:
“Moltbook and OpenClaw have attracted tech-savvy tinkerers with unprecedented opportunities for experimentation because these tools have virtually no built-in security restrictions but have broad access to users’ computers, apps, and accounts. For example, you can connect to your OpenClaw bot through a messaging app to interact with it while you’re away. It can remember your conversations, read and write files on your computer, browse the web, build applications, and even consult other bots on Moltbook for advice on how to do it best.
“While it’s exciting and curious to see what an AI agent can do without any security guardrails, this level of access is also extremely insecure. Therefore, please run Moltbook and your personal bots only in secure, isolated environments.
“Do not give your AI agents access to your real accounts. Instead, create disposable alternatives for them to use. Do not let them use your main browser, especially if you store passwords on it. You should also be cautious with enabling autofill because it creates the risk of the agent having permanent remote access to your credentials. If you want an agent to build something autonomously and anticipate it may need to purchase software or rent server space, link it to a disposable payment card.
“Avoid running Moltbook or OpenClaw agents on your personal or work computers. These AI agents are unpredictable and highly vulnerable to prompt injection attacks. This means if your agent processes an email, document, or webpage containing a hidden malicious instruction, it will likely execute that command in addition to its original task. For example, it could be instructed to send all the credentials, personal data, and payment card information it has access to directly to an attacker.
“The risk isn’t limited to hackers with malicious intent. AI agents could leak users’ data unintentionally. And this is just the tip of the iceberg. Cybersecurity researchers have already identified critical flaws in Moltbook, including an unsecured database that could allow unauthorized users to take control of any AI agent on the site.
“It would not be surprising if threat actors, trolls, and scammers have already found their way onto Moltbook and launched bots tasked with conning other AI agents into cryptocurrency schemes or luring them into hidden prompt injections.
“That’s why it is best to buy a separate, dedicated machine and use disposable accounts for any experimentation. It is also advisable to use encryption and a private mesh network as well as to try to harden your bot against prompt injections.”

DryRun Security Introduces the DeepScan Agent for Rapid, Full-Codebase Security
Posted in Commentary with tags DryRun Security on February 3, 2026 by itnerdDryRun Security, the industry’s first AI-native, code security intelligence company, today announced the DeepScan Agent, a new AI-powered capability that delivers full-repository application security reviews in a few hours. The DeepScan Agent provides developers and security teams with senior-level security expertise across entire repositories, without the cost and operational drag of traditional assessments.
AI-enabled software teams ship more code than ever and security struggles to keep pace. Full repository security reviews are typically infrequent, expensive, and slow, often requiring outside consultants or pulling senior engineers off roadmap work. At the same time, traditional static application security testing (SAST) tools generate thousands of alerts that teams must manually triage, which are often inaccurate, leaving real risks either unfound or buried in noise.
Human-grade security reviews, at machine speed
The DryRun Security DeepScan Agent analyzes entire repositories in hours, building a deep understanding of workflows, data relationships, identity, dependencies, and trust boundaries across the application.
This full-repo context allows the DeepScan Agent to surface issues that require application-level reasoning, including:
Rather than producing volumes of low-value findings, the DeepScan Agent delivers a focused set of issues ranked by risk, with clear explanations and remediation guidance engineers can act on immediately.
Beyond traditional SAST pattern-based scanning
The DryRun Security DeepScan Agent is intent-first, reasoning about what the code does, how it can fail, and the real-world exploitability of those failures.
This enables security teams to move from scanning artifacts to true code security intelligence, translating raw code signals into actionable, contextual insight across the entire application.
Strengthening security across the development lifecycle
The DeepScan Agent is designed to run whenever teams need fast, full-repository confidence: before major releases, after large refactors, during acquisitions, or when leadership asks, “Are we exposed?”
The application context DeepScan builds also strengthens DryRun Security’s pull request analysis agent, allowing risk to be evaluated based across the whole application.
Availability
The DeepScan Agent is available today to DryRun Security customers and trial users.
To see the DeepScan Agent in action, request a demo.
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