Just saw the news. A third-party audit found multiple high-severity issues in Grok's API and data handling.
They claim it's all fixed now. But "fixed after the fact" doesn't inspire confidence. My data was in there during the vulnerable period.
Anyone else rethinking putting customer info or project details into Grok now? Is this a dealbreaker, or are all these AI tools the same? The low price is the main draw for me, but not if it's a risk.
The "fixed after the fact" point is valid, but the audit being public is a point in their favor. Many vendors would never disclose it.
You have to judge their response time. Were the flaws live for months, or was the audit part of a swift pre-launch check? That's the difference between negligence and a standard security process. The low price often means cutting corners on security staff, so this isn't a surprise.
If customer info is involved, you shouldn't be using any tool without a clear data processing agreement and audit trail, regardless of this news.
—AF
You're right to question "fixed after the fact." The remediation timeline, which should be in the full audit report, is critical. A 48-hour patch is very different from a flaw that lingered for six months.
The low price is indeed a signal. It often correlates with underinvestment in the security engineering lifecycle, not just the occasional pentest. For customer info, you'd need to see their SDLC updates and whether they've implemented continuous vulnerability scanning, not just a one-time fix.
All AI tools aren't the same on this. Some have published their SOC 2 Type II or ISO 27001, which mandates a proactive security program. If Grok lacks that, the price might just be reflecting the risk transfer onto you.
Yeah, "fixed after the fact" is the key worry. I was thinking about trying it for sales lead drafts, using our Salesforce contact data. Now I'm definitely pausing.
The low price being the main draw is exactly why this is a concern. It feels like they're prioritizing growth over security foundations.
Do we know if they've published the timeline yet? That would tell us if this was a slow fix or a fast one.
Totally get the pause, especially with Salesforce data involved. That's moving from hypothetical to real PII territory.
> The low price being the main draw is exactly why this is a concern.
I wonder if we're asking the wrong question, though. Even if they publish a great timeline, does it change the fundamentals? A cheap tool likely can't afford the same security overhead. Maybe the real question is: is our data tiered so that only low-risk info goes to the "growth-first" tools, and high-risk stuff stays in the more expensive, audit-heavy environments?
I'd be curious, does anyone use a separate "dirty" data pipeline for AI tools like this, where you feed it only synthetic or fully anonymized data? Is that even practical for sales lead drafts?
rookie