Attackers scale deception with AI. Defenders need truth at machine speed.

Presented by Splunk AI has changed the economics of cyber deception. An attacker can now generate thousands of convincing phishing lures, fake identities, and tailored pretexts before a defender finishes a single change-control cycle. That is the new security challenge: deception got faster and cheaper, while verification did not. Much of the discussion around AI for defense centers on detection models. Detection matters, but it is not the only bottleneck. The deeper constraint is evidence: where data lives, whether it is available when needed, how quickly it can be correlated, how long it is retained, and whether analysts or agents can trust what they retrieve. Defense in the AI era is a data problem before it is a detection problem. The defender’s advantage is truth Attackers can afford to lie at enterprise scale. They can test endless combinations of messages, identities, domains, and attack paths, and most can fail at almost no cost. Defenders do not have that luxury. Their advanta

This report comes from VentureBeat. The story centres on Attackers scale deception with AI. Defenders need truth at machine speed.. Full coverage and background context is available at the original source. Readers seeking more detail on this developing topic are encouraged to follow updates from VentureBeat and related outlets covering this beat.