When AI Becomes the Attacker: Why Cybersecurity Needs a New Playbook
A cyberattack has traditionally involved a series of steps: identifying a target, mapping its environment, finding an exploitable weakness, gaining access, and determining how far that access can be extended. Each of these steps takes time. AI is beginning to compress that entire cycle.
Security teams are already responsible for thousands of endpoints, applications, identities, cloud workloads, network devices, and connected operational systems. If the time between identifying a weakness and attempting to exploit it continues to shrink, the time available to detect, investigate, and contain an attack shrinks with it.
Reconnaissance that once required considerable manual effort can now be automated. Publicly available information can be analysed at scale, vulnerabilities can be matched against exposed infrastructure more quickly, phishing attempts can be tailored to individual targets, and malicious code can be modified repeatedly when an initial attempt fails. The result is not necessarily a new category of cyberattack, but...
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