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Emerging AI Threats

Technology Fundamentals

Emerging AI Threats

1 min readPublished 22 Jul 2026

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AI is reshaping the threat landscape faster than almost anything before it. Staying ahead of emerging AI threats is now part of every defender's job — this extends AI Security with a forward look.

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AI Security

Securing AI — and defending against AI-powered attacks.

1New AI threats2AI in attacks3AI in defence4AI governance

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New AI threats

OWASP LLM Top 10.

AI systems face new risks: prompt injection (manipulating inputs), data poisoning (corrupting training data), model theft and sensitive-data leakage. OWASP's LLM Top 10 is the reference.

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1. What is prompt injection?

2. What reference lists AI/LLM risks?

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AI SecurityGovernance & Compliance CompTIA SecurityX / CASP+
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The emerging threats

  • AI-powered social engineering — flawless, personalised phishing and convincing deepfakes (voice and video) for fraud.
  • Attacks on AI systems — prompt injection, data poisoning and model theft against the AI tools organisations now deploy.
  • Adversarial ML — crafted inputs that fool AI-based defences.
  • Faster, autonomous attacks — AI accelerates reconnaissance, exploit development and could drive semi-autonomous agent attacks.
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Threat Actors

Who attacks, and why — from nation-states to insiders.

1Nation-state2Organised cybercrime3Hacktivist4Insider

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Nation-state

Well-resourced, stealthy.

Government-backed groups (APTs) with significant resources, pursuing espionage or disruption. Patient, sophisticated and hard to detect — motivated by strategy, not money.

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1. Which actor is typically the most financially motivated?

2. Why are insiders especially dangerous?

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Threat Actors & Threat IntelligenceSecurity Operations CompTIA Security+
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Defending forward

Defenders must adopt AI too (detection, triage), harden their own AI systems, and train people to distrust "too perfect" messages. This is one of the most important frontiers in cyber security — see the whole AI & Automation path.

Interview Intelligence

How this topic actually shows up in interviews — and how to demonstrate you understand it.

Why employers ask about this

AI threats are the leading edge of cyber security, so awareness here is highly differentiating.

Technical questions
What are the main emerging AI-driven threats?+

AI-powered phishing/deepfakes, attacks on AI systems (prompt injection/poisoning), adversarial ML, and faster autonomous attacks.

Behavioural questions
Tell me about preparing for a threat that didn't fully exist yet.+

Show proactive learning and adapting defences to an emerging risk.

Real-world scenarios
“Finance receives a deepfake voice call from the 'CEO' authorising a payment.”+

Expected answer: Recognise the deepfake threat — verify via a trusted out-of-band channel and enforce multi-person approval for payments.

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Employability Intelligence

Where this knowledge takes you — the jobs, skills and certifications it feeds into.

Relevant roles
SOC AnalystSecurity EngineerAI Security Engineer
Skills you're proving
Emerging AI threatsDeepfakesAdversarial ML
Recommended certifications
CompTIA Security+CompTIA CySA+
Career progression

Cyber + AI Fundamentals → future-focused cyber roles.

What employers expect

That you understand core security principles and can apply them to real risks, controls and incidents.

Frequently asked questions

How is AI changing cyber attacks?

It enables flawless phishing, deepfakes, faster exploit development, adversarial attacks on AI defences, and attacks on AI systems themselves.

What is a deepfake threat?

AI-generated fake voice or video used for convincing fraud and social engineering, e.g. impersonating an executive.

How should defenders respond to AI threats?

Adopt AI for defence, secure their own AI systems (prompt injection, poisoning), and train people to spot AI-enabled deception.

Related guides

Cyber Security Fundamentals: Principles, Threats, Defence & OperationsSecurity Principles: CIA, Defence in Depth & Zero TrustRisk Management & GovernanceThreat Actors & Threat Intelligence

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