Glossary
Generative AI
Artificial intelligence systems, typically built on large language or diffusion models, that create new content — text, images, audio, code — rather than simply classifying or predicting from existing data. Its accessibility has lowered the skill barrier for producing convincing phishing content, deepfakes, and malware code.
Recent coverage mentioning Generative AI
Why AI Model Rules Fail as Security Controls
An analysis of AI security challenges reveals that internal model rules are inadequate as primary security controls; external, technical safeguards are essential.
Securing Enterprise AI: Managing Risks & Incident Readiness
Organizations face expanding attack surfaces and new risks from rapid AI adoption, including shadow AI and AI agents with excessive permissions.
AI-Generated Email Praise: A New Pre-Scam Tactic Emerges
Analysts observe AI-generated "thank you" emails from suspicious accounts, potentially an early stage of sophisticated social engineering scams.
AI's Impact on Threat Intelligence & Business Risk Management
Discover how AI is intensifying vulnerability volumes and enabling faster threat actor operations, necessitating a strategic shift to risk-based threat intelligence.
Alice Secures $140M to Enhance AI Model Defenses and Guardrails
AI security firm Alice raised $140M to combat adversarial AI, prompt injection, and jailbreak attempts in generative AI systems.
AI Models Generate Viable Synthetic Bacteriophage Genomes
Artificial intelligence models successfully generate viable synthetic bacteriophage genomes, raising dual-use safety concerns.
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