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Security researchers have released a public proof-of-concept (PoC) for a Windows NT kernel privilege escalation vulnerability.

 

The PoC demonstrates how the vulnerability could allow an attacker who already has local access to elevate privileges to gain higher-level system permissions. While the release is intended to help security researchers understand and validate the issue, it also increases the urgency for organizations and users to ensure their systems are fully patched.

 

Microsoft has already addressed the vulnerability through security updates, and users who have installed the latest Windows patches are protected against known exploitation.

 

Has anyone updated their systems yet, or are you waiting before installing the latest security patches?

Competition in the AI space is always good. More enterprise-grade options mean businesses aren’t locked into a single provider, and that’s healthy for the market.

Banks and insurance companies have been cautious about AI because of compliance requirements. If this partnership delivers better governance and security tools, I can see a lot more enterprises getting on board.

Mistral has been building a strong reputation with its language models. Combining that with Microsoft’s enterprise infrastructure could make for a compelling option, especially for businesses that want alternatives.

This makes a lot of sense. Large organizations want cutting-edge AI, but they also need control over where their data lives and how the models are managed. Partnerships like this address those concerns.

Microsoft and Mistral have announced an expanded strategic partnership aimed at delivering frontier AI solutions for enterprises and regulated industries.

The collaboration focuses on giving organizations more control over how AI is deployed, with an emphasis on security, compliance, data privacy, and flexible deployment options. The companies say the partnership is designed to help sectors such as healthcare, finance, government, and manufacturing adopt advanced AI while meeting strict regulatory requirements.

The goal is to provide businesses with powerful AI models that can be deployed in ways that align with their security and governance policies.

What are your thoughts? Could this make AI adoption easier for regulated industries?

  • This topic was modified 1 month, 2 weeks ago by Will.

Quick update—I tried VLC first with no luck. Then I tested Stellar Repair for Video using another clip from the same camera. It took a while because the file was large, but the repaired version actually played. Lost a few seconds near the end, but the important footage was there.

Thanks, everyone, for pointing me in the right direction.

Definitely. That’s probably the best advice in this thread.

Whatever you decide, don’t overwrite the original file. Keep a backup and work on a copy.

Interesting. I didn’t know using another clip from the same camera could actually help.

I’ve also seen people recommend it for drone footage and GoPro recordings. Not every case is recoverable, but it seems to handle structural corruption better than general media players.

I’ve heard about the sample-file approach before. Makes sense since the software can compare the healthy recording with the damaged one.

I ended up using Stellar Repair for Video because it supported sample-file repair. I had another clip from the same camera recorded with identical settings, and that helped recover most of the damaged footage.

Which one did you use?

I’ve only tried VLC and FFmpeg before.

In that situation I eventually used a dedicated video repair application instead of media players. It analyzed the damaged file instead of just trying to play it.

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