AIcurity
AI is changing how software is built, operated, being attacked, and secured.
AIcurity explores the intersection of artificial intelligence and cybersecurity from securing LLM applications and autonomous agents to applying AI for threat detection, investigation, and response.
The two pillars
How do we secure AI? And how can AI make security better?
Protect AI applications, LLMs and autonomous agents.
AI systems introduce new attack surfaces and security challenges. From LLM applications and AI agents to models, data, tools, and integrations, AIcurity explores the security principles and emerging threats shaping the AI landscape.
Areas of interest
Use AI to detect, investigate and respond to threats and security weaknesses.
Security generates enormous amounts of data, alerts, vulnerabilities, and signals. AI creates new possibilities for understanding this information, accelerating investigation, identifying weaknesses, and improving security operations.
Areas of interest
Why this matters
AI is becoming part of applications, infrastructure, workflows, and decision-making. At the same time, it is becoming part of the security landscape itself.
AI systems can interpret natural language, interact with external systems, access data, use tools, and increasingly act with varying degrees of autonomy.
What can an AI system access?
Understanding permissions, trust boundaries, data, tools, and autonomy.
What can AI change?
Exploring how intelligent systems can reshape detection, investigation, and response.
AIcurity