Articles, Commentary, & Quick Reads

A quick summary of the most important cybersecurity actions and a look at what organizations must prepare for next.

Shadow AI is the use of AI tools, often public generative apps without an organization’s approval or oversight, typically when employees turn to convenient services to move faster at work. Because these tools operate outside IT’s visibility, they create hidden data flows and governance gaps that can lead to leakage, non-compliance, and reputational harm. Unlike general “shadow IT,” the risk here is uniquely AI-shaped: models ingest and learn from sensitive inputs, generate ou

AI becomes deeply embedded in digital communication, the threat landscape reveals a significant advancement of phishing as a primary...

The 2025 edition of OWASP’s GenAI/LLM Top 10 shifts the focus from “prompt tricks” to day-to-day realities of how teams actually ship...

On May 20, 2025, Kettering Health in Ohio awoke to a disruptive cyberattack. The Interlock ransomware group had infiltrated the...

Emerging technologies demand proactive policies to mitigate cybersecurity risks while fostering innovation and global collaboration.

Emerging technologies demand proactive policies to mitigate cybersecurity risks while fostering innovation and global collaboration.

Quantum computing reshapes cybersecurity, offering both solutions and threats. Policymakers must act on quantum-safe encryption now.

Ethical AI in cybersecurity builds trust and ensures fairness, balancing innovation with oversight for secure, accountable systems.

AI revolutionizes cybersecurity with real-time threat detection, but ethical frameworks and global collaboration are essential.