Threat actors are increasingly leveraging AI hallucinations to plant phishing links and other malicious content in AI output, IEEE Spectrum reports. Large language models (LLMs) sometimes fabricate information, including web domains, when answering users’ questions. Attackers are registering these hallucinated web domains to host phishing pages.
A recent survey from Experian found that 60% of companies report fraud losses that are “somewhat or significantly higher” than in previous years, with a majority of respondents citing AI-generated phishing attacks as their top AI-related fraud concern.
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A new phishing kit is using generative AI to fully automate voice phishing (vishing) attacks, according to researchers at Group-IB.
The phishing platform, called “Balonx,” includes a module dubbed “CallFlow” that the researchers say “represents a fundamental evolution” in the phishing-as-a-service market. This module uses four commercial AI services to conduct the attacks: OpenAI’s GPT-4o-mini, ElevenLabs’s AI voice generator, OpenAI Voice, and OpenAI Whisper.
When an organization has a security breach, it can cause significant financial, reputational and logistical damage. But in healthcare, where patient lives are on the line, the consequences can be much more catastrophic.
KnowBe4’s latest whitepaper on healthcare cybersecurity, “Hacking the Healers: How the Digital Workforce Became Cybersecurity's Frontline,” examines how decentralized clinical operations, remote staff and autonomous AI agents have dissolved traditional network perimeters, leaving healthcare organizations and patient safety vulnerable to targeted cyberattacks.
Google Workspace powers more than 3 billion active users globally. From agile mid-market firms to global enterprise operations, Gmail and Google Workspace serve as the digital backbone for millions of teams.
Criminals are now selling malicious AI tools for use in cyberattacks, according to researchers at Trellix. These tools dramatically lower the barrier for unskilled crooks to launch sophisticated attacks.
A study has found that AI chatbots can be more effective at social engineering than human scammers, WIRED reports. The researchers looked at a form of romance scam commonly known as “pig butchering,” in which scammers spend weeks or months building a relationship with the victim before tricking them into sending money for a phony investment scheme.
AI is making social engineering attacks significantly more effective, according to a new report from cyber insurance firm Resilience. These attacks were behind more than 85% of losses in the first half of 2026, compared to less than 20% during H1 2024.
Americans are now losing an estimated $148 billion each year to online scams, a 22% increase compared to 2024, according to a new report from the Consumer Federation of America (CFA). The FBI’s Internet Crime Complaint Center (IC3) tracked $20.8 billion in losses last year, but the CFA notes that the actual losses are much higher.
As the Asia-Pacific and Japan (APJ) region continues its rapid digital acceleration, Guam stands at a unique strategic intersection. Serving as a critical hub for telecommunications, government services and regional defense, the island’s cybersecurity posture is no longer just a local concern, it is a cornerstone of regional stability.
A new report commissioned by IBM has found that one in four breaches is now AI-enabled, up 56% from last year.
For years, cybersecurity has had a familiar villain: the external attacker. The hacker breaking through the firewall, stealing credentials or exploiting an unpatched vulnerability. It is the scenario we have trained for, built defenses around and spent decades trying to prevent.
Vietnam has emerged as a cornerstone of the global digital economy, but this rapid digitization has come with a significant surge in sophisticated cyber threats. As the country transitions into a more mature technological landscape, the methods used to protect its most critical asset, the workforce, must also evolve. We are witnessing a pivotal move away from traditional, checkbox in-person training toward modern, automated and AI-driven digital resilience.
You cannot protect what you do not know exists.
As a CISO advisor, I am observing a familiar pattern gaining a new, critical dimension. What we historically identified as "Shadow IT", the use of unapproved SaaS and tools, is rapidly evolving into "Shadow AI."
Employees are increasingly leveraging AI bots for drafting, analysis, code generation and strategic decision-making. While the intention is often to drive efficiency, the lack of governance creates a dangerous risk surface: sensitive data leakage, compliance violations and the potential for operational decisions based on unverified, AI-generated content.
The Iran-linked threat actor APT42 is using AI-assisted phishing attacks to target U.S. organizations amidst the Iran-US war, according to researchers at DarkAtlas.
A survey from Trustmi found that most employees believe they’d be able to spot a social engineering attack, but those same employees still rely primarily on outdated guidance to spot red flags. Generative AI has given attackers the ability to craft extremely convincing, error-free phishing emails.
Attackers are getting smarter. AI is making social engineering more convincing, more personalized, and harder to spot than ever before. Training the digital workforce, employees and agents, to recognize threats is necessary, but even the most security-conscious users can still make a mistake at the moment of risk.
This year National Social Engineering Day falls on Aug. 6. This day is designed to give us an opportunity to remind people that cybercriminals do not always need sophisticated malware, an undisclosed vulnerability or a dark room filled with glowing monitors, sometimes, all they need is a good story.
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