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Executive takeaway (because you’re busy):

Off the shelf AI is letting criminals bash out voice clones, deep fake Zoom calls and auto-generated malware quicker than you can refresh Netflix suggestions. They crowd source improvements in open forums, scale them globally in minutes and chuckle while we wait for next Tuesday’s patch cycle. Offensive AI is sprinting; defensive AI is still faffing with its shoelaces.

The gory detail of five realities we can’t ignore

  1. AI is flipping the crime economy on its head
    The Alan Turing Institute’s latest CETAS study warns we’re “transitioning towards criminal markets dominated by AI”, crooks now specialise like legit dev teams. one scrapes data, another writes code, a third slaps a voice clone UI on top. Once a tool works, it’s zipped up and flogged to the rest of the underworld at warp speed.

  2. Deepfakes are now the scammer’s Swiss army knife
    Remember engineering giant Arup? A fake CFO in a very convincing video call coerced staff into wiring USD 25 million to Hong Kong. That was May 2024, not sci-fi, just last year’s headline.

  3. Detection tools are playing Whac A Mole
    Intel’s FakeCatcher, Sensity’s detection hub and every “Top 10 tools for 2025” post promise 90 plus-percent accuracy, until the next model tweak sails straight past them. It’s a treadmill, not a finish line.

  4. Voice cloning is cheap, cheerful and everywhere
    The FBI’s May 2025 PSA says a ten second clip is enough for criminals to spoof a believable phone in from your boss or a Cabinet minister. Lay offs and “new job” posts on LinkedIn are gift-wrapped intel for attackers.

  5. Risk management frameworks matter (but only if you actually use them)
    NIST’s AI RMF,  GOVERN → MAP → MEASURE → MANAGE, is sound, but frameworks stuck in SharePoint hell stop zero fraud. Embed them in procurement, incident response and pen-tests or don’t bother.

If you don’t want to carry on reading and would rather listen. Here is the new podcast. https://shows.acast.com/ai-ai-o-podcast/episodes/682743693e2c04fd7a86a770

So what? Practical pointers to keep you vigilant

Attack surfaceDefensive play that actually works
Client commsAdd video call verification. If “the CFO” pops up begging for a rush payment on extra LED tiles, phone their PA on the old-school landline before moving a penny.
Content handlingMandate secure upload portals and file type whitelists for hybrid events. One poisoned keynote.mp4 will ruin your day.
Crew awarenessBefore doors open, give the team BBC Bitesize’s cheat sheet on spotting AI images odd ears, too many teeth, funky jewelry. Basic? Yes. Effective? Also yes. BBC
ToolingKeep a live watch list of deepfake detectors and rotate them; don’t sign a five-year monogamy clause.
LobbyingLean on trade bodies to adopt the NIST RMF language so we stop inventing 37 different policy wheels.

Crystal-ball time

Give it 24 months and we’ll see “malware as a video service”: deepfake keynote videos that sideload RATs the second they buffer. Defenders will finally wedge multi-modal AI into EDR stacks and claw back some parity, if the budget-holders wake up first.

Listen to the new podcast where we cover much more and what new solutions and services can help. Season , episode 1- AI AI O podcast – AI Enabled Cyber Crime – deep dive

Sources

  • Alan Turing Institute, AI and Serious Online Crime (2025). CETASCETAS

  • CFO Dive, “Scammers siphon $25M from engineering firm Arup via AI deepfake ‘CFO’” (17 May 2024). CFO DiveFinancial Times

  • Intel, FakeCatcher real-time deepfake detection (2024). Intel

  • AIM Research, “5 AI DeepFake Detector Tools for 2024” (2024). AIM Research

  • Sensity AI, Deepfake Detection Hub (2025). Sensity

  • FBI PSA on AI voice cloning (15 May 2025). AxiosReutersBleepingComputer

  • NIST, AI Risk Management Framework (2023) & Playbook. NISTNIST

  • BBC Bitesize, “How to spot AI-generated images” (2023). BBC