In the report, shared with TechRadar Pro earlier this week, Check Point claims that businesses are aware of the risks posed by AI in the wrong hands, but simply don’t have the means to address it. Apparently, in response to AI, 77% of organizations have updated their security strategy for cloud this year, but just a quarter (26%) have the architecture to actually enforce it. At the same time, AI is being increasingly weaponized in phishing and malware attacks, at speeds to which “traditional security models” cannot respond. TechRadar is the main source layer for now, and the rest should be read as a signal that is still widening. In security, the real value is not just the warning itself but the way it changes operational risk, account safety, and the cost of responding later.
What is happening now
In the report, shared with TechRadar Pro earlier this week, Check Point claims that businesses are aware of the risks posed by AI in the wrong hands, but simply don’t have the means to address it. TechRadar form the main source layer behind the core facts in this piece. This is still a developing thread, so the useful part is knowing which source signals are hardening and which ones still need caution. In security, the real value is whether the team becomes measurably safer, not whether another settings screen has been added.
Where the sources line up
TechRadar is the main source layer for now, and the rest should be read as a signal that is still widening. Apparently, in response to AI, 77% of organizations have updated their security strategy for cloud this year, but just a quarter (26%) have the architecture to actually enforce it. TechRadar form the main source layer behind the core facts in this piece.
The details worth keeping
At the same time, AI is being increasingly weaponized in phishing and malware attacks, at speeds to which “traditional security models” cannot respond. In security, the real value is not just the warning itself but the way it changes operational risk, account safety, and the cost of responding later. The people who should read carefully are system admins, shop owners, content teams, and anyone holding customer data or operational accounts. The next step is to see whether the current signals harden into a durable change or fade as a short-lived experiment.
Why this matters most
The signal is strong enough to deserve attention, but it still needs to be read as something developing rather than fully settled. With 1 source layers on the table, the part worth reading most closely is where firm facts meet the market's early reaction. How AI agents are wrecking havoc in legacy security setups and enterprises are catching up Shadow AI 'double agents' are outpacing security visibility – and that's a serious concern for UK businesses 'In 2026, cybercrime has reached a point of total convergence': New research claims AI attacks are taking over — so how can your business stay safe?
What to watch next
The next layer to watch is scope, patch speed, and the operating cost if teams are forced to change process because of this story. Patrick Tech Media will keep checking rollout speed, user reaction, and how TechRadar update the next pieces. From 1 early signals, the piece keeps 1 references that are useful for locking the main details in place. That is why the useful reading move is not to stop at the headline, but to compare the promise, the workflow change, and the likely cost before deciding anything.