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Beyond the Hype: Navigating the Security Risks and Safeguards of Generative AI Video

Beyond the Hype: Navigating the Security Risks and Safeguards of Generative AI Video

Mar 9, 2026 By SecuritySenses In SecuritySenses
The rapid evolution of generative AI video models, such as Seedance 2.0, Kling 3.0 and OpenAI's Sora, has unlocked unprecedented creative potential. However, for cybersecurity professionals, these advancements represent a significant expansion of the corporate attack surface. In an era where "seeing is no longer believing," the integration of synthetic media into the enterprise workflow demands a rigorous security framework. This article explores the dual nature of AI video: the sophisticated threats it enables and how modern, enterprise-grade platforms are architecting defenses to mitigate these risks.
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AI red teaming with John V.

Feb 25, 2026 By LimaCharlie In LimaCharlie
Join us for this session of Defender Fridays as we explore AI red teaming with John V., AI risk, safety, and security specialist at the Institute for Security and Technology (IST). At Defender Fridays, we delve into the dynamic world of information security, exploring its defensive side with seasoned professionals from across the industry. Our aim is simple yet ambitious: to foster a collaborative space where ideas flow freely, experiences are shared, and knowledge expands.
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breachlock

BreachLock Expands Adversarial Exposure Validation (AEV) to Web Applications

Jan 15, 2026 By BreachLock
BreachLock, a global leader in offensive security, today announced that its Adversarial Exposure Validation (AEV) solution now supports autonomous red teaming at the application layer, expanding beyond its initial network-layer capabilities introduced in early 2025.
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mend

LLM Red Teaming: Threats, Testing Process & Best Practices

Jan 13, 2026 By Tiffany Jennings In Mend
LLM red teaming is a proactive security practice that involves systematically testing large language models (LLMs) with adversarial inputs to find vulnerabilities before deployment. By using manual or automated methods to probe for weaknesses, red teamers can identify issues like harmful content generation, bias, or security exploits, which are then addressed through a continuous “break-fix” loop to improve the model’s safety and reliability.
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mend

Automated Red Teaming: Capabilities, Pros/Cons, and Latest Trends

Jan 6, 2026 By Tiffany Jennings In Mend
Automated red teaming uses software to simulate cyberattacks and test security defenses, helping organizations find and fix vulnerabilities more efficiently. It automates tasks like credential harvesting, system enumeration, and privilege escalation to test security posture in a continuous, scalable manner. Beyond traditional systems, automated red teaming can also be used for AI systems, where it tests for risks like data poisoning or prompt injection in generative models.
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safeaeon

How the Social Engineering Toolkit Helps Red Teams

Dec 16, 2025 By SafeAeon Inc. In SafeAeon
The Social Engineering Toolkit, or SET, is a tool that security teams use to copy the tricks that attackers use. It helps them see how well a company reacts when a message or link does not look legitimate. It can also test how people respond when they land on a copied website. Most guides cover only basic SET features. This blog explains how experts use SET in real tests and how defenders notice SET activity before harm occurs.
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safebreach

Beyond the Sprint: The Power of Continuous Automated Red Teaming (CART)

Nov 18, 2025 By Adrian Culley In SafeBreach
Malicious threat actors don’t work a 9-to-5 schedule, and they definitely don’t take a break when your organization’s annual security assessments are complete. Instead, they constantly put your security posture to the test—day after day, month after month, all year long. That’s why annual penetration tests and periodic validation campaigns are insufficient in today’s threat landscape.
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