Cybersecurity Threats
Adversarial actions compromising data confidentiality, integrity, and availability across digital ecosystems.
Threat Vectors & Classifications
- Malware, Ransomware, Phishing, Social Engineering, Supply Chain Attacks
- AI-Augmented Attacks: Leveraging generative models to automate exploit generation, craft polymorphic payloads, and enhance social engineering precision.
- LLMjacking: Targeted exploitation of AI-integrated applications and prompts to harvest secrets, credentials, and proprietary data.
- API Key Theft: Exfiltration of authentication tokens for AI services, leading to unauthorized resource consumption and direct financial liability for key owners.
- financial-modeling: Direct costs from stolen [[concept
Emerging Methodologies & Detection
- LLM Vulnerability Discovery Methodology: An IBM Technology initiative (2026) establishing structured approaches for identifying vulnerabilities specific to LLM architectures, moving beyond traditional penetration testing to address model-specific attack surfaces.