# Swift Attacks Demand Rapid Detection and Automated Response

*Published October 23, 2026*
*Source: [https://www.bleepingcomputer.com/news/security/machine-speed-attacks-require-machine-speed-detection-and-response/](https://www.bleepingcomputer.com/news/security/machine-speed-attacks-require-machine-speed-detection-and-response/)*

## Executive Summary

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## Article

Cybersecurity firm Exaforce has highlighted the urgent need for automated detection and response systems to combat the increasing speed of cyber attacks. Recent incidents have shown that attackers can pull data within minutes of infiltrating a system, and existing security tools are often ineffective in catching these occurrences quickly enough. One case involved a compromised OAuth token used to access GitHub repositories, where a staggering 472 out of 638 repositories were exfiltrated before any containment measures could be enacted. This incident exemplifies the dual challenges of detecting anomalies and executing containment actions swiftly. 

GitHub's current security infrastructure focuses primarily on code and secret inspections, missing critical aspects like token misuse. Exaforce's platform was able to detect the breach by analyzing a confluence of weak signals, such as unusual network activity and atypical usage patterns. Despite this, the attacker still had sufficient time to execute their plans due to the delay in human intervention. 

The problem is exacerbated by the fact that OAuth tokens, which do not expire automatically, remain valid unless manually revoked. This is particularly problematic for developers using AI tools and npm packages, as these environments are prone to token theft, often through sophisticated phishing techniques. For example, attackers have utilized trust in AI tools to lure victims into executing commands that install information stealers, bypassing traditional security measures. 

Exaforce's research also highlights the limitations of identity provider detections, which often fail when victims approve legitimate-looking MFA prompts. Automated responses, while not without challenges, are recommended to swiftly counter such threats. Implementing low-friction responses, such as revoking sessions and OAuth tokens upon detecting suspicious activity, can significantly mitigate risks. However, more severe actions like password resets should still require human approval to prevent unintended disruptions. 

For organizations, the key takeaway is the necessity of pre-planning response actions and ensuring the necessary permissions are in place to execute them effectively. Starting with services that hold the most critical data is advisable, as this can significantly reduce the potential impact of a breach.