Commercial models excel at preliminary network penetrations but struggle with internal lateral movements and credential harvesting. Security teams are taking advantage of this gap by implementing traps like fake log-in files to quickly detect intrusions. In one incident handled by Palo Alto Networks, an AI-assisted breach took less than 10 hours rather than the standard two weeks. Consequently, experts stress that deception strategies must be supported by swift patching and access restrictions.
Key points
Deploying deceptive decoy files provides an effective tripwire against commercial AI mode…: Deploying deceptive decoy files provides an effective tripwire against commercial AI models that rely on public cybersecurity training data.
Defenders must accelerate their reaction times because automated tools enable low-skilled…: Defenders must accelerate their reaction times because automated tools enable low-skilled criminals to compress breach timelines from weeks into mere hours.
Early warning deceptions must be paired with rapid vulnerability patching and strict syst…: Early warning deceptions must be paired with rapid vulnerability patching and strict system access controls to ensure comprehensive organizational security.
Sources checked by our analysis pipeline: 1
- AI is speeding up cyberattacks, but decoys and safe AI hacking can help defenders catch attackers early and slow them down.
- Research from Horizon3 and Ensign InfoSecurity shows AI models often fall for decoys, while AI attacks are strongest at breaking in and weaker at later stages.
- Experts say firms must act faster, use AI with care and patch weaknesses quickly as attackers and defenders race at machine speed.
AI generated
SINGAPORE – Artificial intelligence may be helping hackers speed up cyberattacks from days and weeks to mere minutes and hours. But, for now, the “gullibility” of AI models makes them uniquely vulnerable to deception – a growing strategy among cyberdefenders.
“If you put well-placed deception and you build the processes to react and contain the attack, you can render AI attackers completely obsolete,” said cybersecurity firm Horizon3’s chief executive, Snehal Antani, at a recent October media briefing.
He explained that the AI systems from many leading technology companies are trained on public cybersecurity data, such as vulnerability reports and research. This data is not as useful…
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