Cybersecurity

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Policymakers and government leaders have rightfully grown alarmed by the rapid rise of generative artificial intelligence (AI) tools such as ChatGPT.

Social engineering attacks are on the rise, and despite increased awareness, human error is still the most successful gateway for most data breaches.

Data backup administrators often find themselves stuck in the crosshairs of cybercriminals looking to turn a profit off ransomware attacks.

Consumer trust in artificial intelligence was analyzed in a recent report by dunhumby. Forty-six percent cite security as a grocery use case for AI.

A recent announcement by the SEC reveals SolarWinds Corporation and its CISO are facing charges for fraud and internal control failures relating to allegedly known cybersecurity risks and vulnerabilities related to a 2020 cyberattack.

The U.S. Department of Health and Human Services (HHS) settled healthcare data breach charges alongside the Office for Civil Rights (OCR).

The National Security Agency (NSA) has partnered with other U.S. agencies to warn against phishing attacks and provide security strategies.

Generative AI can create efficiencies that will increase productivity, improve internal operations and enhance creativity.
Yet, the evolution of large language models and the use of generative AI can open doors for fraudsters.

How can organizational leaders both encourage their cybersecurity staff to stay with them and attract new talent to manage the rising number of breaches and attacks on businesses?

Chief Information Security Officers (CISOs) were surveyed on their security programs and risk management strategies, including attack response times.