Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

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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How AI is boosting Automation Processes

How AI is boosting Automation Processes

Jan 21, 2026 By SecuritySenses In SecuritySenses
Artificial intelligence seemingly came out of nowhere a couple of years ago, and now most of us use it in some capacity, especially if we are business owners, but the fact is, AI did not really come out of nowhere - it was years in the development and the next natural step to technology and automation processes that were already in place.
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The term "AI Agent" is failing us. #cybersecurity #ai #technews

Jan 20, 2026 By Teleport In Teleport
The term "AI Agent" is failing us. In Prediction, Ev warns that our vocabulary is lagging behind the technology. Calling everything an "AI Agent" is like calling everything "software." It’s too broad to be useful. A browser plugin has a completely different architecture than a microservice or a factory robot. They have different identities, different risks, and different security needs. You can't secure what you can't specifically identify.
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LimaCharlie

LimaCharlie Announces Agentic SecOps Workspace, Redefining AI in Security Operations

Jan 20, 2026 By LimaCharlie In LimaCharlie
Sr. Technical Content Strategist LimaCharlie is announcing their Agentic SecOps Workspace, a security platform that elevates AI from an advisory role to an operational one. This is a key development for security teams who recognize that AI must offer more than chat interfaces, simple alert triage or next-step recommendations. To keep pace with modern threats and business needs, AI must be allowed to operate and scale.
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mend

Introducing Mend.io's AI Security Maturity Survey + Compliance Checklist available today

Jan 20, 2026 By Tiffany Jennings In Mend
Today, we’re excited to launch two practical tools to help teams quickly understand their AI maturity, quantify AI risk, and gather the evidence executives will ask for in 2026: an interactive AI Security Maturity Survey (with a personalized score and mapped recommendations) and a companion AI Security Compliance Checklist. Both are aligned to industry standards and built to be immediately useful in discovery, audits, and planning.
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protecto

Why Protecto Uses Tokens Instead of Synthetic Data

Jan 20, 2026 By Anwita In Protecto
On the surface, synthetic data looks like the safer option. It’s not real. It doesn’t point to an actual person. It can be reversed if needed. And it keeps systems running without exposing sensitive values. That logic makes sense. Until you look at how systems actually behave. Protecto supports both reversible synthetic data and tokenization. Referential integrity can be preserved either way. Mapping back is not the hard part. The difference is not whether you can recover the original value.
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