Welcome to SOCRadar’s AI Threat Landscape Report!

Artificial intelligence is rapidly reshaping the cyber threat landscape, not only by enhancing attacker capabilities but by fundamentally changing the scale, speed, and accessibility of cybercrime. SOCRadar’s AI Threat Landscape Report explores how AI-driven threats are evolving across phishing, vishing, deepfakes, ransomware, credential theft, identity fraud, and adversarial attacks against AI systems themselves. Drawing on dark web intelligence, stealer log analysis, criminal AI ecosystem monitoring, and real-world attack patterns, this report provides a detailed view into how threat actors operationalize AI across the modern attack chain.

Download the full report today to gain strategic insights into AI-enabled cyber threats and strengthen your organization’s resilience against emerging attack techniques.

Key Insights from the AI Threat Landscape

• AI Is Lowering the Barrier to Cybercrime: AI-powered criminal services increasingly allow non-technical actors to launch phishing, vishing, fraud, and malware campaigns through simplified platforms.
• Voice-Based Fraud Has Evolved Rapidly: AI-powered vishing platforms now automate entire fraud conversations using real-time speech synthesis, OTP interception, and multilingual AI voice agents.
• Deepfake Identity Fraud Is Accelerating: Threat actors increasingly use face-swapping, voice cloning, and synthetic identities to bypass KYC and liveness verification systems.
• Phishing Has Become More Personalized and Effective: AI-generated phishing content improves deliverability, personalization, and evasion, significantly increasing victim engagement rates.
• AI Platforms Are Becoming High-Value Targets: Credentials, API keys, AI chat histories, and developer environments tied to AI services are actively traded and exploited.
• AI-Driven Malware Development Is Expanding: Threat actors use AI to generate malware, automate code debugging, develop polymorphic payloads, and accelerate attack infrastructure creation.
• Agentic AI Is Driving Automation: Autonomous AI agents increasingly handle reconnaissance, fraud interactions, and attack execution with limited human involvement.
• Prompt Injection and AI Supply Chain Risks Are Growing: Organizations adopting LLM-connected systems face expanding exposure to prompt injection, plugin abuse, and AI ecosystem vulnerabilities.

Why This Report Matters

AI is no longer simply an emerging technology within cybersecurity. It is becoming an operational layer integrated directly into both offensive and defensive ecosystems. The report highlights how AI changes attacker economics by reducing cost, lowering expertise requirements, and increasing operational scale. At the same time, organizations now face entirely new categories of risk, including AI-targeted attacks, semantic security failures, identity exposure through AI tooling, and cost-exhaustion attacks against reasoning models.

Take Action Now

• Dark Web Monitoring: Detect stolen AI credentials, exposed developer accounts, and underground discussions related to AI abuse
• Identity & Access Protection: Reduce credential exposure risks tied to AI platforms and developer ecosystems
• Phishing & Vishing Detection: Identify AI-generated phishing and voice-based fraud campaigns before they escalate
• Attack Surface Management: Monitor AI-integrated systems, plugins, and exposed services for emerging vulnerabilities
• Threat Intelligence: Track evolving AI-powered attack techniques, adversarial AI tooling, and criminal AI ecosystems