Latest cybersecurity reporting from selected sources.

Artificial intelligence platforms may be just as susceptible to social engineering as human beings, but they are proving remarkably good at finding security vulnerabilities in human-made computer code. That reality is on full display this month with some of the more widely-used software makers -- including Apple, Google, Microsoft, Mozilla and Oracle -- fixing near record volumes of security bugs, and/or quickening the tempo of their patch releases.

Social engineering has long been an effective tactic because of how it focuses on human vulnerabilities. There’s no brute-force ‘spray and pray’ password guessing. No scouring systems for unpatched software. Instead, it simply relies on manipulating emotions such as trust, fear, and respect for authority, usually with the goal of gaining access to sensitive information or protected systems.

Also: Dangers of Malicious Code Embedded in ML Models; Is Ransomware in Decline?AI's influence on social engineering and election security has become a focal point at Black Hat. ISMG editors discuss how advanced technologies are making it easier to manipulate people and compromise security systems and offer key insights on machine learning vulnerabilities.