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graylog

How to Ignore Cybersecurity AI Bubble FOMO

Jan 22, 2026 By The Graylog Product Team In Graylog
Cybersecurity teams are no longer circling an AI bubble. Rather, they are staffing inside it, buying within it, and getting measured by it. This matters because bubbles create a predictable trap: expectations are set higher than teams truly can deliver. Cato Networks CEO Shlomo Kramer recently told Business Insider the market is experiencing an AI bubble driven by heavy investment and AI-driven profit improvements, which he expects to unwind. A correction will not pause attacker activity.
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AI for Influencer Marketing: Smart Ways to Scale Content and Engagement

AI for Influencer Marketing: Smart Ways to Scale Content and Engagement

Jan 22, 2026 By SecuritySenses In SecuritySenses
Influencer marketing continues to dominate the digital landscape, but creating consistent, high-quality content remains one of the biggest challenges for creators and brands alike. The pressure to post regularly while maintaining authenticity and engagement can be overwhelming. This is where artificial intelligence steps in, offering practical solutions that help influencers scale their content production without sacrificing quality or burning out.
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Zenity

Seeing What AI Touches: Introducing Data Lens

Jan 21, 2026 By Greg Zemlin In Zenity
Security teams are entering a new phase of risk driven by the combination of AI agents and broad access to internal and external data. Agents are no longer limited to responding to prompts. They read files, pull documents from shared repositories, query external sources, and move information across systems on behalf of users. This shift brings real business value. Knowledge becomes easier to access, workflows move faster, and information that once required deliberate effort can be surfaced instantly.
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knowbe4

AI-Assisted Social Engineering is a Growing Concern

Jan 21, 2026 By KnowBe4 Team In KnowBe4
A survey by the World Economic Forum (WEF) found that 47% of organizations cite the advancement of adversarial capabilities as their top concern surrounding generative AI. These capabilities include phishing, malware development, and deepfakes, all of which are increasingly accessible due to AI tools. Additionally, 42% of organizations experienced a successful social engineering attack last year, and the researchers expect this number to rise as AI-assisted social engineering grows more advanced.
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2026 SIA Megatrends - AI is Eating Software

Jan 21, 2026 By Brivo In Brivo
Like many in our industry, we wrapped up 2025 by digging into the Security Industry Association’s (SIA) annual megatrends report. Rather than just another predictions list, the 2026 SIA Security Megatrends report offers a strategic roadmap from industry trailblazers who have mapped out the specific shifts in physical security trends we can expect in 2026. As we enter the early days of a fresh year, we sat down with Brivo Founder and President Steve Van Till, who had a hand in shaping this year's topics, to get his insider take on the findings.
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safeaeon

Why AI SOC Is Becoming Standard for MSP Security Operations in 2026

Jan 21, 2026 By SafeAeon Inc. In SafeAeon
Managed service providers (MSPs) manage multiple client environments at the same time. It’s not an easy task, as threats move quickly and alerts never stop. It poses a big challenge for human-only SOC teams to handle such huge volumes of alerts and threats. This is where AI SOC changes how security operations are conducted for MSPs. An AI SOC uses artificial intelligence to monitor activity and identify threats in real-time.
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lookout

Understanding the LLM Mobile Landscape in Enterprise Technology

Jan 21, 2026 By Lookout In Lookout
Mobile security has always been complex, but LLM technology has added a whole new dimension to the field. Behind every popular generative AI (genAI) tool is a comprehensive large language model (LLM) that provides data and parses queries in natural language. When used responsibly, LLMs can be useful tools for ideation and content generation. In the wrong hands, though, LLMs can help threat actors supercharge their social engineering scams.
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