Hello everyone
I'm planning to study further in BCU and I wanna know if there is any chance the international students can get jobs in Birmingham city centre. How's the market? If you have any advice related to university or what things I should consider before I land in Birmingham?? and what skills I should learn? Please let me know
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I've been experimenting with AI for day-to-day GRC work, and the results have been surprisingly mixed.
It can finish a security questionnaire in minutes, summarize a 100-page policy almost instantly, and even suggest control mappings across multiple frameworks. Then, out of nowhere, it'll confidently invent a regulation that doesn't exist or misinterpret a requirement. That inconsistency makes it incredibly powerful and slightly dangerous at the same time. But humans in the loop are done by most companies and some companies were working on AI only instead of training human..
What's the biggest AI mistake you've seen in GRC or compliance work that made you stop and double-check everything?
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I've been wondering about this lately. Many organizations are building in-house LLMs for GRC to answer security questionnaires, map compliance controls, generate policies, and support audit preparation. Keeping everything on-premises helps with data privacy, but it doesn't solve the biggest problem: a confident hallucination can still end up in an audit report or customer response if no one catches it.
The more capable these systems become, the more people are likely to trust them. That creates an interesting trade-off. If an AI-generated answer helps close deals faster but occasionally invents evidence or misinterprets a control, the financial and compliance impact could outweigh the productivity gains. At that point, is the technology truly ready for critical GRC work, or are we becoming overconfident because the responses sound convincing?
For those using an in-house LLM in GRC today, where do you draw the line between AI assistance and human accountability—and do you think we'll ever reach a point where an LLM can be trusted to answer security questionnaires without manual verification?
I've been thinking about something that doesn't get discussed enough.
Everyone is talking about AI replacing workflows, but what happens when an LLM confidently hallucinates in a production environment?
Imagine an AI generating incorrect financial reports, compliance advice, customer responses, security questionnaire answers, or analytics. If no one catches it immediately, even 10–15 minutes of bad output could lead to lost revenue, customer churn, SLA violations, or regulatory issues.
I'm not talking about funny ChatGPT mistakes. I'm talking about enterprise systems where AI is making or assisting business decisions.
I'm curious:
Have you personally seen an AI hallucination cost a company money?
Which industries are most vulnerable (finance, healthcare, cybersecurity, legal, customer support)?
How do companies detect hallucinations before they reach customers?
Is RAG enough, or do we need verification agents, human approval, or confidence scoring?
What's the biggest financial impact you've witnessed?
With AI adoption accelerating, I feel hallucinations are becoming less of a model problem and more of a business risk.
I'd love to hear real-world experiences, postmortems, or even near misses. The more concrete the examples, the better.
Companies are waking up to find a single runway agent burned $2000 in Open AI/Anthropic API credits in 15 minutes because it got stuck in a logical loop at 3 Am.
Who is facing this kind of problem frequently?? Let's discuss ..