Microsoft Teams phishing is a social engineering attack that arrives as a chat or call instead of an email. Attackers pose as IT support, and email filters never see the message. The fix has four ...
Shadow IT is any app, device, or cloud service that staff use for work without IT’s approval or knowledge. It spreads because approved tools feel slow. The main risks are data exposure, a wider attack ...
AI browser security is the work of controlling a browser that can read pages, click, and act for you. These browsers can fall for hidden instructions on websites, and they can reach every account you ...
Securing AI adoption means giving people a fast, approved way to use AI before they find their own. First, take an inventory. Next, sort tools into three tiers, review each vendor, and pilot with ...
Prompt injection works because a language model reads commands and data through the same channel. Any text an AI agent reads can act as a command. No model update fully fixes this. The real defense is ...
AI has changed cyber risk in two ways: precision and reach. Attacks now match your role, tone, and timing. They also move across email, chat, and video inside one conversation. Spelling errors no ...
Agentic AI could let phishing training adapt to each employee. That matters because a large 2025 study found standard training barely lowered click rates. Still, adaptive training is a hypothesis, not ...
Future-proofing against AI does not mean predicting the next attack. It means building a program that adapts. Cover people and AI agents in one plan, and run it on a 12-month roadmap. First, gain ...
AI agents are easy to exploit because the same properties that make them useful, broad permissions, natural-language instructions, and training that rewards agreement, also make them structurally bad ...
Finding shadow AI already on your network takes four techniques working together, because no single scan catches all of it: TLS fingerprinting to spot AI client traffic even when it is encrypted, ...
Good AI agent governance means an agent’s authority is written down and bounded before it goes live, one named person owns the outcome, autonomy expands only as reliability is proven, and someone with ...
Shadow IT was a data location problem: a file or a conversation sitting somewhere the IT department never approved, largely inert until someone went looking for it. Shadow AI is different in kind, not ...