Nobody Has All the Answers Yet
If you've been waiting for the tech giants to figure out AI security before the rest of us have to worry about it, here's a sobering reality check: they haven't. According to a recent report from TechCrunch, even Google — one of the most resourced and AI-invested companies on the planet — is navigating the security implications of artificial intelligence in real time, just like everyone else.
"We're in the transition period — all of us," is the frank admission driving the conversation. And it's one that security professionals, enterprise IT teams, governments, and everyday users are grappling with simultaneously.
A Transition Without a Map
What makes this moment so unusual is the speed at which AI has moved from research labs into critical infrastructure. Companies that once had years to study a new technology, build frameworks, and test defenses are now deploying AI systems while simultaneously discovering the risks those systems carry.
Traditional cybersecurity operated on a relatively predictable threat model: attackers probe for known vulnerabilities, defenders patch them. AI scrambles that model. Large language models can be manipulated through prompt injection. AI-generated content can be weaponized for phishing and disinformation at industrial scale. And the attack surface expands every time a new model or integration goes live.
Google has more security engineers than most countries have in their entire tech workforce — and even they don't have a settled playbook.
Why This Should Matter to Everyone
The "transition period" framing matters because it sets expectations. This isn't a temporary gap that will close once a few patches ship. It's a structural shift in how software is built, deployed, and exploited — and the security frameworks that govern it are being written alongside the technology itself.
For businesses, that means deploying AI tools while accepting some degree of unknown risk. For regulators, it means drafting policy for systems that may look different by the time legislation passes. For users, it means interacting daily with AI-powered products that their creators are still learning to secure.
The Honest Reckoning
There's actually something clarifying about a company like Google admitting it's still working through the problem. It strips away the reassuring fiction that somewhere, in some well-lit server room, someone has AI security sorted out.
The organizations doing this best right now seem to be the ones investing in transparency — publishing vulnerability research, participating in red-teaming exercises, and building incident response protocols before they're needed. The ones doing it worst are the ones shipping fast and hoping the security questions answer themselves.
The transition period is uncomfortable. It's also, by most accounts, unavoidable. The technology outpaced the safeguards, and now the safeguards are playing catch-up in public.
The real question isn't whether AI security will be solved — it will, iteratively, the way every previous computing challenge has been. The question is how much damage accumulates in the meantime, and who bears the cost.
Source: TechCrunch, May 24, 2026 — Everyone is navigating AI security in real time — even Google
