Generative AI

Generative AI is now built into everyday tools, workflows, and business systems. It changes how data is processed, how access is granted, and how decisions get made often without clear visibility into what’s being shared or stored. That shift comes with real security challenges.

To no one’s surprise, that same shift has ushered in a new era of security challenges. Sensitive data can be exposed through prompts or model outputs. AI-generated content is already being used to craft more convincing phishing and social engineering lures. Integrations with other systems can expand access in ways that aren’t fully understood or documented. And as these tools are trusted more by default, AI-generated emails, documents, or code can include false information or embedded instructions that slip through without being reviewed.

Generative AI security focuses on identifying these risks early, understanding how they show up in real environments, and putting controls in place before they escalate into full incidents.

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Explore the Generative AI Guide

1

What Is Generative AI?

Generative AI is one of the most transformative technologies of our time and one of the most misunderstood. For businesses and their employees, it's both a powerful productivity tool and an emerging attack surface that cybercriminals are actively exploiting.

2

What is AI Poisoning?

AI poisoning is when attackers insert false or malicious content into AI systems to corrupt what they learn or tell users. Learn the attack types, real-world examples, and how to protect your people.

3

What is AI Phishing? Evolving Phishing Attacks in 2026

Unlike traditional phishing, which often involves obvious red flags like misspellings or generic greetings, AI phishing attacks are highly personalized, grammatically polished, and difficult to distinguish from legitimate communication.

4

The Problem Isn't AI Autonomy. It's Autonomy Without Accountability.

Not all AI SOCs are built the same. Huntress uses calibrated autonomy. AI acts where it's earned the right, humans own the decisions that carry real risk. See what that means for your security outcomes.

5

AI Cyberattacks: How Cybercriminals Use GenAI to Create Smarter, Harder-to-Detect Threats

Learn how AI is transforming cyberattacks with smarter phishing, automated reconnaissance, and advanced malware evasion. Discover defense strategies to protect against AI-driven threats and secure your organization.

6

How Generative AI is Redefining the Security Landscape

The “AI vs. AI” arms race is no longer a thought experiment; it’s a daily operational reality. But as the initial explosion of GenAI tools has settled, one thing is clear: technology alone is not a silver bullet. This guide walks you through how the security landscape is evolving.

7

How to Defend Against Generative AI Attacks

The cybersecurity landscape has shifted. Generative AI, the same technology powering productivity tools, creative assistants, and business automation is now a weapon in the hands of cybercriminals.

For businesses navigating this new reality, generative AI risk management is no longer optional. It is the defining security challenge of 2026 and beyond.

Explore the Generative AI Security Guide

The same tools helping teams move faster are giving attackers new paths in.

Generative AI security gets complicated because these systems don’t stay in one lane. They pull from data, connect to other tools, and respond to user input in ways that can expose more than intended. A prompt can reveal something sensitive. An integration can grant broader access than expected. Output can be trusted at face value when it shouldn’t be.

We know IT teams, security leaders, and MSPs need a clearer read on generative AI cybersecurity. These resources cover where generative AI security issues are already showing up, how they’re being used in real environments, and what to pay attention to earlier. You’ll also find practical ways to reduce exposure and respond when something doesn’t line up.

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