The AI Arms Race: How Threat Actors Use AI—and How AiiR Fights Back
Artificial Intelligence is no longer just a tool for defenders—it’s a weapon for attackers. Threat actors are rapidly embedding AI into their ransomware operations, creating an arms race where automation, deception, and adaptive learning push both sides to evolve faster.
Low-code tools are going mainstream
Purus suspendisse a ornare non erat pellentesque arcu mi arcu eget tortor eu praesent curabitur porttitor ultrices sit sit amet purus urna enim eget. Habitant massa lectus tristique dictum lacus in bibendum. Velit ut viverra feugiat dui eu nisl sit massa viverra sed vitae nec sed. Nunc ornare consequat massa sagittis pellentesque tincidunt vel lacus integer risu.
- Vitae et erat tincidunt sed orci eget egestas facilisis amet ornare
- Sollicitudin integer velit aliquet viverra urna orci semper velit dolor sit amet
- Vitae quis ut luctus lobortis urna adipiscing bibendum
- Vitae quis ut luctus lobortis urna adipiscing bibendum
Multilingual NLP will grow
Mauris posuere arcu lectus congue. Sed eget semper mollis felis ante. Congue risus vulputate nunc porttitor dignissim cursus viverra quis. Condimentum nisl ut sed diam lacus sed. Cursus hac massa amet cursus diam. Consequat sodales non nulla ac id bibendum eu justo condimentum. Arcu elementum non suscipit amet vitae. Consectetur penatibus diam enim eget arcu et ut a congue arcu.
Combining supervised and unsupervised machine learning methods
Vitae vitae sollicitudin diam sed. Aliquam tellus libero a velit quam ut suscipit. Vitae adipiscing amet faucibus nec in ut. Tortor nulla aliquam commodo sit ultricies a nunc ultrices consectetur. Nibh magna arcu blandit quisque. In lorem sit turpis interdum facilisi.
- Dolor duis lorem enim eu turpis potenti nulla laoreet volutpat semper sed.
- Lorem a eget blandit ac neque amet amet non dapibus pulvinar.
- Pellentesque non integer ac id imperdiet blandit sit bibendum.
- Sit leo lorem elementum vitae faucibus quam feugiat hendrerit lectus.
Automating customer service: Tagging tickets and new era of chatbots
Vitae vitae sollicitudin diam sed. Aliquam tellus libero a velit quam ut suscipit. Vitae adipiscing amet faucibus nec in ut. Tortor nulla aliquam commodo sit ultricies a nunc ultrices consectetur. Nibh magna arcu blandit quisque. In lorem sit turpis interdum facilisi.
“Nisi consectetur velit bibendum a convallis arcu morbi lectus aecenas ultrices massa vel ut ultricies lectus elit arcu non id mattis libero amet mattis congue ipsum nibh odio in lacinia non”
Detecting fake news and cyber-bullying
Nunc ut facilisi volutpat neque est diam id sem erat aliquam elementum dolor tortor commodo et massa dictumst egestas tempor duis eget odio eu egestas nec amet suscipit posuere fames ded tortor ac ut fermentum odio ut amet urna posuere ligula volutpat cursus enim libero libero pretium faucibus nunc arcu mauris sed scelerisque cursus felis arcu sed aenean pharetra vitae suspendisse ac.
How Threat Actors Are Using AI in Ransomware Negotiations
1. AI-Powered Social Engineering
LLMs like GPT-4, LLaMA, and custom fine-tuned dark-web models are being used to:
- Generate highly persuasive ransom notes in multiple languages, with context-specific psychological levers (urgency in healthcare, financial ruin in banking).
- Dynamically adapt tone and grammar to mimic the victim’s communication style, making it harder to flag as fraudulent.
- Conduct AI-driven reconnaissance by scraping LinkedIn, GitHub, and press releases to customize targeting.
Example: In a 2023 an report, over 70% of observed ransomware groups were using automated phishing content generators, cutting initial compromise prep time from days to minutes.
2. Negotiation Bots
Ransomware-as-a-Service (RaaS) operators are now deploying automated negotiation engines on Tor-based portals.
- Bots respond in real time, 24/7, using reinforcement learning to identify delay tactics and escalate threats.
- Language models are trained on thousands of prior negotiations, giving bots “experience” far beyond any single human operator.
- Some bots use predictive price modeling to decide when to drop ransom demands versus holding firm.
Technical data: A 2024 Kaspersky analysis found bot-driven negotiation threads reduced median ransom negotiation time from 14 days to under 72 hours, putting extreme pressure on victims.
3. Voice Cloning and Deepfakes
Generative AI tools (e.g., ElevenLabs, open-source VALL-E) now enable threat actors to impersonate high-value individuals.
- Cloned CEO voices authorize fake wire transfers or ransom approvals.
- Fake legal counsel recordings mislead companies on “compliance” with OFAC or GDPR.
- Internal employee impersonations drive urgency in ransom chats.
Case Study: In 2023, a Hong Kong finance employee wired $25M after a video conference with deepfaked executives, showing how these methods can bypass normal human suspicion.
4. AI-Based Proof of Life
Traditional “proof of data theft” is evolving:
- Attackers use GANs (Generative Adversarial Networks) to fabricate “sample data” screenshots, tricking victims into believing leaks are larger than they are.
- Fake employee identities are spun up with AI-generated headshots and LinkedIn clones to increase credibility.
Observation: Chainalysis reports that nearly 15% of 2024 ransomware leak-site samples showed signs of AI-assisted manipulation, raising concerns about false authenticity.
How AiiR CEIRA AI Fights Back with Defensive AI
1. CEIRA’s Threat Actor Language Model Classifier
Our proprietary classifiers detect:
- AI-generated ransom notes by spotting unnatural linguistic entropy and token usage anomalies.
- Shifts in syntax that indicate bot escalation instead of human input.
- Linguistic fingerprints reused across RaaS affiliates.
This enables early classification of threat actor “bot signatures.”
2. Counter-Prompting Engines
CEIRA deploys counter-AI tactics:
- Injects structured confusion into bot conversations (logic loops, passive redirection).
- Exhausts AI scripts by steering dialogue into untrained contexts.
- Forces fallback scenarios, giving human responders time to act.
3. AI-Proofing Strategies for Victim Organizations
- Synthetic media detection: AiiR integrates deepfake detection algorithms
- Verification protocols: Exec communications are cross-validated with multi-factor channels.
- Training playbooks: Incident response teams learn to recognize AI-driven manipulation at the first touchpoint.
4. Continual Threat Actor Profiling
Each engagement enriches CEIRA’s intelligence graph:
- Tracks which AI engines (e.g., LLaMA-tuned models) are reused across affiliates.
- Identifies resilience levels of bots under counter-prompt stress tests.
- Maps successful vs failed negotiation tactics against AI adversaries.
Result: A continuously evolving defensive AI that doesn’t just keep pace—but learns to outmaneuver.
The Bigger Picture: AI vs. AI
We’re in an era where both sides wield AI. The decisive factor won’t be access to models—but how quickly each side can adapt.
With CEIRA, AiiR equips responders with an intelligent ally designed to counter and outsmart AI-driven extortion, ensuring victims regain leverage in an increasingly automated battlefield.