Technology

AI Phishing Attack Prevention Strategies: How AI Identifies and Limits Human Risk

Apr 9, 2026 By KnowBe4 Team In KnowBe4

AI is making phishing attacks easier to create and scale. Tasks that once required manual effort can now be automated, allowing attackers to generate realistic messages, launch campaigns, and adapt tactics quickly to evade security controls. In fact, KnowBe4’s 2025 Phishing Threat Trends Report found that more than 73% of phishing emails analyzed in 2024 showed signs of AI involvement. As a result, phishing threats are becoming harder to detect using traditional methods alone.

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LiteLLM Was Compromised. Your AI Stack Could Be Next

Apr 9, 2026 By Chris Martinez In Nightfall

On March 24, 2026, thousands of development pipelines ran a routine vulnerability scan. What they actually executed was a credential stealer.

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Your AI SOC still needs a SIEM. Here's why that won't change.

Apr 9, 2026 By Michelle Beastall In Sumo Logic

Everyone is building sophisticated intelligence layers with improved models and smarter agents to automate threat detection, investigation, and response. It’s what is needed in order to mature into an AI SOC. However, the organizations seeing the most value from AI in their SOC are not focusing solely on the intelligence layer. They’re focusing on the data foundation first.

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New Seemplicity Report: 88% of Enterprises Use AI for Security, but Only 31% Trust It

Apr 8, 2026 By Seemplicity In Seemplicity

88% of Enterprises Use AI for Security, but Only 31% Trust It; Seemplicty's State of Exposure Management report reveals gap between AI investment and operational confidence.

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Enterprise AI Security Use Cases: What Security Teams Are Solving For

Apr 8, 2026 By Cyberhaven In Cyberhaven

Enterprise AI adoption is no longer a future problem. The average organization uses 54 generative AI (genAI) applications, and endpoint AI agent adoption is accelerating, with Cyberhaven research tracking 276% growth in 2025. Security programs have struggled to keep pace with either trend. The AI security gap is technical, not philosophical. Most organizations have AI acceptable use policies.

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Secret Scanning For AI Coding Tools With ggshield

Apr 8, 2026 By GitGuardian In GitGuardian

Introducing ggshield AI hooks from GitGuardian to help stop AI coding assistants from leaking secrets. See how ggshield can scan prompts, tool calls, file reads, MCP calls, and tool output inside AI coding tools like Cursor, Claude Code, and VS Code with GitHub Copilot. When a secret is detected, ggshield can block the action before sensitive data is sent or exposed. You will also see how simple the setup is, with flexible install options for local or global use. This adds practical guardrails to AI-assisted development and helps teams move fast without increasing secret sprawl.

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How Hackers Socially Engineer AI Agents

Apr 8, 2026 By Razorthorn Security In Razorthorn

AI agents with browser access can be manipulated into downloading and running malware disguised as a harmless support tool. It is social engineering for machines, where prompt injection turns an innocent browsing task into a full system compromise without any classic CVE in sight.

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How to Back Up Microsoft 365 to AWS: A Comprehensive Guide

Apr 8, 2026 By NAKIVO Team In NAKIVO

Microsoft 365 services are productive and reliable, but data loss can occur for various reasons. For example, a user may accidentally delete data or a ransomware infection may spread from local computers whose folders are synchronized with the cloud storage. Thus, Microsoft 365 backup is important for data protection and business continuity. With backups, you can recover the needed data and ensure uninterrupted workflows.

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How to Handle AI Policy Enforcement in the Era of Shadow AI

Apr 8, 2026 By Teramind In Teramind

Here’s the reality most security teams are already living: over 80% of employees are using unapproved AI tools at work, and nearly half are actively hiding it from IT. The question facing every organization is no longer whether to adopt artificial intelligence — it’s how to secure the sensitive data flowing into it every single day. This is the governance gap.

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The Era of Agentic Security is Here: Key Findings from the 1H 2026 State of AI and API Security Report

Apr 8, 2026 By Eric Schwake In Salt Security

The era of human-centric API consumption is officially ending. Over the past year, enterprises have rapidly transitioned from simply experimenting with Generative AI to deploying autonomous AI agents that drive core business operations. These agents act as digital employees. They utilize Large Language Models (LLMs) for reasoning, Model Context Protocol (MCP) servers for connectivity, and internal APIs for execution. This evolution has fundamentally altered the enterprise attack surface.

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