CultureAI

Tech talk · On demand

The Rise of AI: Innovation, Exploitation & the Battle for Control

AI isn't slowing down. It's reshaping how every organisation operates, and how attackers exploit data, tools and people.

The real challenge isn't stopping AI. It's making sure your business can adopt it safely, with visibility, control and governance that match the speed of innovation.

Watch this tech talk: 30 minutes that will change how you think about AI risk.

History of AI misuse and abuse

The early history of AI misuse and abuse

AI misuse didn't start with today's LLMs. Early adoption already showed a pattern of accidental data loss, shadow tools, and people pasting sensitive information into systems they didn't fully understand. As AI scaled, those small missteps became systemic risks, because data handed to AI tools is often retained permanently, creating irreversible exposure.

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app.culture.ai· AI interactions LIVE
Prompt pasted into chatbot
contains client names
High Risk
customer_export.csv uploaded
personal AI account
Critical Risk
Screenshot shared with assistant
board deck visible
High Risk
Meeting notes summarised
embedded SaaS AI
Medium Risk
Code snippet autocompleted
proprietary source
High Risk
Data shared with AI tools is often retained permanently

How threat actors are leveraging AI

How threat actors are leveraging AI to accelerate attacks

Threat actors now use AI to speed up reconnaissance, craft highly convincing social engineering, and automate exploitation, collapsing what used to take days into minutes. The result: AI dramatically amplifies attacker efficiency while widening the gap for defenders relying on legacy controls.

app.culture.ai· Attacker tempoManual vs AI-assisted
Reconnaissance
Manual
days
AI
minutes
Social engineering lure
Manual
days
AI
minutes
Exploitation
Manual
days
AI
minutes

Why legacy tools can't defend

Why legacy tools can't defend

DLPs, CASBs and DSPMs weren't built to understand prompts, embedded AI features, or the long tail of SaaS apps now exposing data to models. They block or log, but they don't understand behaviour or intent. To protect AI usage, you need context-, content- and behaviour-aware visibility that operates where risk actually happens: inside browsers and SaaS workflows.

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app.culture.ai· Legacy stackAI prompt in transit
“Summarise this customer contract…” + attachment
Network proxyno AI contextPassed
Legacy DLPno AI contextPassed
CASBno AI contextPassed
Sensitive data reaches the modelUndetected

How to gain control of AI

How to gain control of AI

If you can't see every prompt, file, or AI interaction across sanctioned, shadow and embedded tools, you don't have control: you have blind spots. A proper AI Risk Assessment gives instant visibility into who's using AI, what data they're exposing, and where your policies are (or aren't) being enforced.

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app.culture.ai· AI applicationsLast 90 days
Total apps
105
High risk
34
Active today
67
ChatGPT
chatgpt.com
High Risk
Microsoft Copilot
m365.cloud.microsoft
High Risk
Canva
canva.com
Medium Risk
Grok AI
grok.com
High Risk
Google Translate
translate.google.com
Medium Risk
OpenAI Playground
platform.openai.com
Low Risk

Hosted by

Oliver Simonnet headshot

Oliver Simonnet

Lead Cyber Security Researcher

Oliver Simonnet is the Lead Cybersecurity Researcher at CultureAI, focusing on human and AI-centric threats. With nearly a decade of experience, holding roles such as Principal Security Consultant, Global Head of Application Security and SWIFT Security SME, his expertise spans reverse engineering, payment system technologies and artificial intelligence.

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