Overview: AI cybersecurity uses machine learning and automation to detect threats in real time.Leading firms in the USA are deploying AI for threat hunting, ano ...

Overview: AI is transforming cybersecurity from reactive defense into predictive, autonomous, and intelligence-driven ...

We often hear that employees are a company’s biggest cyber risk, and new evidence supports this assertion. In fact, a 2023 survey showed that 30% of respondents considered insider threats to be a ...

In today’s hyper-connected world, businesses are becoming increasingly vulnerable to cyber threats. With the rising sophistication of cyberattacks, traditional security ...

Last year, the cost of a data breach rose 10%, from $4.4 million to $4.8 million, as stated by IBM's annual "Cost of a Data Breach Report." According to cybersecurity firm Vectra AI, more than 70% of ...

‘Acquirers of businesses have changed their taste in what they're looking for as things evolve. Strategic buyers who are really driving the consolidation, particularly in areas like cybersecurity, ...

From Reaction to Anticipation: Predictive analytics empower security teams to transition from reactive responses to proactive strategies by leveraging data to anticipate risks before they escalate.

Traditional security measures like firewalls and antivirus software are no longer sufficient to protect organizations from ...

Self-learning AI enhances behavioral analytics for detecting advanced threats and insider risks, but demands careful attention to bias, transparency, and ethical use. Self-learning AI improves threat ...

Almost nine in 10 major companies exposed to actively exploited cyber vulnerabilities remain at risk for six months or more, ...

IBM has announced a new collaboration with several community college systems to offer cybersecurity and data analytics training to prepare students for an array of hi-tech jobs. The two new ...