Stolen Credentials Fuel Most Cyber Breaches, AI Speeds Attacks

Your Next Breach Will Look Like Business as Usual argues that the modern breach often starts with legitimate access rather than a break‑in, with nearly one in three cyber intrusions now involving valid employee credentials. It notes that attackers are empowered by AI to accelerate credential theft, test logins automatically, and mimic normal user activity once inside, creating intrusions that are hard to detect because they look legitimate.

The piece cites research showing the volume of information-stealing malware has surged 84% over the last year, underscoring why credential-based attacks are rising in scale and speed. To counter this, it advocates shifting detection models to prioritise upstream identity monitoring, integrating Dark Web signals into active response workflows and enforcing automated credential rotation along with multifactor authentication before credentials reach production.

It also urges adopting phish-resistant MFA such as FIDO2 hardware keys, treating authentication as a continuous process rather than a one-off event, and auditing for identity sprawl while enforcing least privilege. In short, the author calls for a holistic, real-time approach to identity security as credentials become the primary attack surface.