Cybersecurity

Google on Thursday said it observed the North Korea-linked threat actor known as UNC2970 using its generative artificial intelligence (AI) model Gemini to conduct reconnaissance on its targets, as various hacking groups continue to weaponize the tool for accelerating various phases of the cyber attack life cycle, enabling information operations, and even conducting model extraction attacks.
“The

Google on Thursday said it observed the North Korea-linked threat actor known as UNC2970 using its generative artificial intelligence (AI) model Gemini to conduct reconnaissance on its targets, as various hacking groups continue to weaponize the tool for accelerating various phases of the cyber attack life cycle, enabling information operations, and even conducting model extraction attacks.
“The

Google on Thursday said it observed the North Korea-linked threat actor known as UNC2970 using its generative artificial intelligence (AI) model Gemini to conduct reconnaissance on its targets, as various hacking groups continue to weaponize the tool for accelerating various phases of the cyber attack life cycle, enabling information operations, and even conducting model extraction attacks.
“The

Google on Thursday said it observed the North Korea-linked threat actor known as UNC2970 using its generative artificial intelligence (AI) model Gemini to conduct reconnaissance on its targets, as various hacking groups continue to weaponize the tool for accelerating various phases of the cyber attack life cycle, enabling information operations, and even conducting model extraction attacks.
“The

Threat activity this week shows one consistent signal — attackers are leaning harder on what already works. Instead of flashy new exploits, many operations are built around quiet misuse of trusted tools, familiar workflows, and overlooked exposures that sit in plain sight.
Another shift is how access is gained versus how it’s used. Initial entry points are getting simpler, while post-compromise

Threat activity this week shows one consistent signal — attackers are leaning harder on what already works. Instead of flashy new exploits, many operations are built around quiet misuse of trusted tools, familiar workflows, and overlooked exposures that sit in plain sight.
Another shift is how access is gained versus how it’s used. Initial entry points are getting simpler, while post-compromise

Threat activity this week shows one consistent signal — attackers are leaning harder on what already works. Instead of flashy new exploits, many operations are built around quiet misuse of trusted tools, familiar workflows, and overlooked exposures that sit in plain sight.
Another shift is how access is gained versus how it’s used. Initial entry points are getting simpler, while post-compromise

Threat activity this week shows one consistent signal — attackers are leaning harder on what already works. Instead of flashy new exploits, many operations are built around quiet misuse of trusted tools, familiar workflows, and overlooked exposures that sit in plain sight.
Another shift is how access is gained versus how it’s used. Initial entry points are getting simpler, while post-compromise

Threat activity this week shows one consistent signal — attackers are leaning harder on what already works. Instead of flashy new exploits, many operations are built around quiet misuse of trusted tools, familiar workflows, and overlooked exposures that sit in plain sight.
Another shift is how access is gained versus how it’s used. Initial entry points are getting simpler, while post-compromise

Threat activity this week shows one consistent signal — attackers are leaning harder on what already works. Instead of flashy new exploits, many operations are built around quiet misuse of trusted tools, familiar workflows, and overlooked exposures that sit in plain sight.
Another shift is how access is gained versus how it’s used. Initial entry points are getting simpler, while post-compromise