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AI & Automation3 min read

Automated attacks require automated resilience

Open-source AI models allow attackers to launch high-volume breaches, forcing business owners to move from manual monitoring to automated security.

by Fini MironFounder @ Balkaris
An abstract composition printed flat in deep charcoal, bone white, warm mid grey and bright electric lime green: one enormous triangle filling the lower right and cropped by two edges, and a single small square stranded alone in the empty upper left.
Drawn for this article on our own machine. It is not a photograph.

The creator @rpn on TikTok reports that a recent shift in cybersecurity, dubbed Black October, involves open-source AI models being used to launch thousands of simultaneous attacks. These models can hack as effectively as the world's best programmers. Because they never sleep, bad actors can breach digital infrastructure at scale. @rpn suggests updating passwords, using token-based two-factor authentication, and keeping a physical emergency kit with cash and printed account numbers.

The video this was written from, by @rpn. See it on TikTok.

Why it matters

Business owners often view cybersecurity as a background task. This shift changes that. When open-source models allow for automated, high-volume attacks, the cost of a breach drops for the attacker while the complexity of defence rises for you. You cannot rely on old perimeter security to stop a bot that works 24 hours a day. It is no longer a matter of if a breach will occur, but how quickly your systems can detect and isolate it.

The threat is not just about data theft. It is about the speed of execution. If an attacker can launch thousands of attempts simultaneously, your human team cannot keep up manually. You need to move from reactive security to automated resilience. This means auditing your internal infrastructure and ensuring your most sensitive assets are not accessible via public-facing vulnerabilities. If your business relies on digital access, your security posture is now a core operational risk.

What it changes in practice

For the Swiss small and mid-sized businesses we work with, the reality on Monday is that your current password policy is likely insufficient. You might not see an attack today, but the barrier to entry for sophisticated phishing and brute-force attempts has vanished. If you still rely on SMS for two-factor authentication, you are using a system that is increasingly easy to intercept. You need to move to token-based authentication for every critical service.

The shift means your IT budget must prioritise automated detection over manual monitoring. You cannot outwork a script that runs 24 hours a day. We recommend auditing your home and office WiFi to ensure IoT devices are isolated on guest networks. This prevents a single smart device from becoming a gateway to your core business data.

Security is now a logistical task. You must maintain physical backups of account numbers and emergency codes. If your digital infrastructure goes offline, your ability to operate depends on these offline records.

What we would do

When we build AI systems for clients, security cannot be a secondary thought. We treat every integration as a potential entry point for automated attacks. Instead of reacting to breaches, we build architecture that assumes a threat is already present. This means moving beyond simple firewalls to a model where every internal process requires independent verification. We help you map your data flow to identify where sensitive information sits most vulnerably.

  1. Network SegmentationWe isolate your core production environment from guest devices and non-essential hardware.
  2. Token-Based MFAWe replace SMS-based codes with hardware keys or authenticator apps to block SIM swapping.
  3. Automated Vulnerability ScanningWe deploy scripts to identify open ports and outdated software before attackers can find them.
  4. Offline Redundancy PlanWe help you document a manual recovery process for your most critical business functions.

Within a year, your security team will stop chasing individual alerts and start auditing automated responses. This shift requires you to trust your code more than your manual intervention.

Key takeaways

  • Move from SMS-based two-factor authentication to token-based hardware keys.
  • Isolate IoT devices on guest networks to prevent them from becoming gateways to core data.
  • Maintain physical backups of account numbers and emergency codes for offline recovery.

Frequently asked

How do I know which of my assets are most vulnerable to these automated scripts?

We help you map your specific data flow to identify where sensitive information sits most vulnerably.

Does this mean I need to hire more security staff to keep up with the attacks?

No, the goal is to automate detection and response so your team stops chasing individual alerts.

What is the first step I should take to audit my current infrastructure?

Start by identifying your public-facing vulnerabilities and ensuring your most sensitive assets are not accessible via them.