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There is constant pressure on security leaders to decide which controls deserve the most attention and budget. A new study offers evidence on which measures are most closely linked to lower breach risk and how organizations should think about deploying…
More than 80 percent of large U.S. companies were targeted by socially engineered fraud in the past year, according to Trustmi’s 2025 Socially Engineered Fraud & Risk Report. Nearly half of those organizations reported a direct financial loss, wit…
A new report from Anthropic shows how criminals are using AI to actively run parts of their operations. The findings suggest that AI is now embedded across the full attack cycle, from reconnaissance and malware development to fraud and extortion. The r…
Attackers don’t always need a technical flaw. More often, they just trick your people. Social engineering works, and AI makes it harder to catch.” Only about one in four cybersecurity teams are effective at collaborating with the broader business (Sour…
Cybercriminals are using advanced social engineering and AI-generated content to make malicious URLs difficult for users to identify, according to Proofpoint. Whether through email, text messages, or collaboration apps, URL-based threats now dominate t…
Organizations are increasing investments in cloud, AI, and emerging technologies, but their infrastructure and security strategies often lag behind. A recent Unisys survey of 1,000 senior executives shows that business and IT leaders are not always ali…
Cloud adoption is speeding ahead in the business services sector, but security for remote and edge environments is falling behind. At the same time, generative AI is moving into daily workflows faster than most IT teams are prepared for. Those are the …
Prevention effectiveness is falling, detection gaps remain wide, and attackers are exploiting weaknesses in data protection and credentials. Data theft prevention has dropped to 3 percent, password cracking success rates have nearly doubled, and new th…
While most organizations understand the need for strong AI model governance, many are still struggling to close gaps that could slow adoption and increase risk. The findings of a new Anaconda survey of more than 300 AI practitioners and decision-makers…
The latest Netskope findings show a 50% increase in GenAI platform usage among enterprise end-users, driven by growing employee demand for tools to develop custom AI applications and agents. Top LLM interfaces by percentage in organizations (source: Ne…