From HFT to Infosec: How AI Accelerates the Developer-Hacker Arms Race
An experienced security researcher draws a parallel between high-frequency trading evolution and modern vulnerability research, showing how artificial intelligence compresses the time between patch release and working exploit. The author describes the classic workflow where developer Rob fixes buffer overflows in an FTP server while researcher Dave reverse-engineers the diff to locate the exact change. With AI assistance, both sides now generate patches or exploits in minutes rather than days or weeks. The piece highlights that publishing a patch effectively discloses the location of the flaw, allowing automated tools to produce reliable exploits almost instantly. Historical examples such as wu-ftpd CVEs and the EternalBlue/MS17-010 worm illustrate how quickly mass exploitation follows disclosure. The author warns that open-source projects face an existential dilemma: withhold patches and leave users exposed, or release them and trigger immediate automated scanning. Recommendations include mandatory back-porting of fixes and wider use of runtime protections, yet the overall outlook remains pessimistic about the coming wave of fully automated attacks.
HabrOct 11, 2026Translated from Russian