The most effective way to prevent the growth of shadow AI in companies is to combine clear policies, employee education and easy access to approved ⟶

Shadow AI tools are used without organizational approval. As they spread into a wider shadow AI economy, compliance exposure grows. The biggest shadow AI compliance ⟶

The most popular shadow AI tools are general-purpose chatbots such as ChatGPT, Claude, Gemini and Perplexity. Close behind are workplace assistants like Microsoft Copilot, AI ⟶

To log and track shadow AI prompts companywide, organizations need one central record of every AI interaction. For each prompt, that record shows which AI ⟶

Shadow AI lifecycle management is a structured way to handle unapproved AI tools through five connected stages. Organizations first discover which tools are in use, then ⟶

Enforcing shadow AI rules with minimal friction means targeting the risky action, which is sensitive data leaving the organization, rather than blocking AI use altogether. Low-friction ⟶

Intrusion detection has traditionally relied heavily on known indicators of compromise, predefined rules and signatures. These remain valuable, but today's security environments generate a volume ⟶

AI is changing what cybersecurity teams have to defend against. Attackers can use AI to accelerate familiar activities such as reconnaissance and phishing, while the ⟶

Governments are beginning to set clearer expectations around how AI can be developed and used securely, although the rules differ significantly between jurisdictions. Two approaches ⟶

AI can be highly effective at preventing cyberattacks. Its greatest strength is spotting threats that carry no known signature, which often slip past traditional tools. ⟶

Generative AI is changing how security teams work in several ways. Its impact is particularly being felt in the security operations center (SOC), where it ⟶

Generative AI brings clear productivity gains, but it also introduces new security risks. The three most significant are data leakage through everyday use, flawed decisions ⟶