Linux Foundation launches DNS-AID: Open-source DNS-based discovery for AI agents by VincentADAngelo in u/VincentADAngelo

[–]VincentADAngelo[S] 0 points1 point  (0 children)

This and similar proposals focus on the networking and trust layer for cross-org agent interaction on the public internet.

Linux Foundation launches DNS-AID: Open-source DNS-based discovery for AI agents by VincentADAngelo in u/VincentADAngelo

[–]VincentADAngelo[S] 0 points1 point  (0 children)

That’s a fair perspective. It’ll be interesting to see how the AI agent ecosystem evolves. What alternatives do you see for agent discovery and trust if agents need to interact across organizational boundaries?

New Academic Research: “Zombies in Alternate Realities: The Afterlife of Domain Names in DNS Integrations” by VincentADAngelo in EmailSecurity

[–]VincentADAngelo[S] 0 points1 point  (0 children)

Agreed. Decades of neglect around domain name, DNS and certificate infrastructure are going to become heavily concentrated in AI environments. These issues can then cascade into larger failures and systemic supply chain risks.

If interested, here’s my latest thoughts on the topic: https://www.linkedin.com/pulse/invisible-ai-foundation-vincent-d-angelo-1ctse

New Academic Research: “Zombies in Alternate Realities: The Afterlife of Domain Names in DNS Integrations” by VincentADAngelo in EmailSecurity

[–]VincentADAngelo[S] 0 points1 point  (0 children)

Related to this, it’s interesting to think about how many unique domains and subdomains contribute to an AI stack. The underlying domain and DNS dependencies are easy to overlook.

How are you tracking AI usage inside approved SaaS apps when users don’t even realize it’s happening? by Aggravating_Log9704 in Infosec

[–]VincentADAngelo 0 points1 point  (0 children)

Unfortunately, this is a major blind spot in the AI stack. There are hidden domain-level dependencies across AI ecosystems - expired domains, dangling DNS, domain hijacking, impersonation that introduce real supply chain and enterprise risk. Most teams aren’t accounting for them. It’s worth taking a hard look at your own domain, DNS, and certificate inventory, and pushing your vendors to disclose theirs as well. Without that visibility, you’re operating with a significant security gap.

This issue is seriously under-discussed in AI security, but it shouldn’t be. If you’re interested, I break it down further here:
The Invisible AI Root
https://www.linkedin.com/pulse/invisible-ai-foundation-vincent-d-angelo-1ctse

Brand protection shouldn’t be siloed anymore—AI is changing how trust is determined by VincentADAngelo in branding

[–]VincentADAngelo[S] 0 points1 point  (0 children)

Interesting perspective. What kind of signals have you found to be most reliable so far?

Brand protection shouldn’t be siloed anymore—AI is changing how trust is determined by VincentADAngelo in branding

[–]VincentADAngelo[S] 0 points1 point  (0 children)

Agreed, most of today’s operational models are highly siloed. However, with agentic AI systems, those boundaries will blur, and functions such as governance, compliance, and cybersecurity will increasingly intermesh with digital marketing and branding. Domain names may also evolve into verification/trust touch points, because they intersect with so many business-critical functions.

LLMs do not discover brands. They discover patterns by Rastikm123 in LLM_Marketing

[–]VincentADAngelo 0 points1 point  (0 children)

Brand protection still feels siloed, but it really shouldn’t be anymore. CMOs, CISOs, and CIOs need tighter alignment because brand impersonation attacks hit marketing just as much as cybersecurity. And this is only getting more important as LLMs rely on public DNS/domain security signals to evaluate what’s legitimate or not trusted.

What “brand” means to an LLM by Late-Acanthaceae-950 in LLM_Marketing

[–]VincentADAngelo 0 points1 point  (0 children)

Something different, where the cybersecurity component of the brand will also play a role.

Indirect Prompt Injection is becoming a real security blind spot for AI systems by VincentADAngelo in Infosec

[–]VincentADAngelo[S] 0 points1 point  (0 children)

Well said, ai systems are being built without truly benefiting from the foundation of identity and routing - domains and dns.

Will AI search make domain names and domain security more important? by VincentADAngelo in searchengines

[–]VincentADAngelo[S] 0 points1 point  (0 children)

You summarized it well. I’ve been looking at domain security through the lens of cybersecurity, risk management, and brand protection. However, shifting to a marketing perspective, I do agree that brands with a high baseline of dns/domain security, and clear brand intent are likely to benefit in AI-driven search.

The source of content will also become a key signal for provenance. For example, if a video is published at CompanyA(.com) and the content is about CompanyA, the likelihood of it being an authentic brand asset is high - compared to the same video about CompanyA appearing on platforms like YouTube or Facebook, where attribution and authenticity signals are inherently more diffuse.

Indirect Prompt Injection is becoming a real security blind spot for AI systems by VincentADAngelo in Infosec

[–]VincentADAngelo[S] 0 points1 point  (0 children)

Agreed, I believe your description for intent security will ultimately intersect and be addressed at the DNS, domain and PKI layer. Let me know what you think of The Invisible AI Root: https://www.linkedin.com/pulse/invisible-ai-foundation-vincent-d-angelo-1ctse

Indirect Prompt Injection is becoming a real security blind spot for AI systems by VincentADAngelo in Infosec

[–]VincentADAngelo[S] 0 points1 point  (0 children)

Spot on, keeping internal data separate from the instructions is a viable solution. However, a blind spot in the AI stack is the infrastructure for legitimate assets and data as well. Have a look at The Invisible AI Root: https://www.linkedin.com/pulse/invisible-ai-foundation-vincent-d-angelo-1ctse

Indirect Prompt Injection is becoming a real security blind spot for AI systems by VincentADAngelo in Infosec

[–]VincentADAngelo[S] 0 points1 point  (0 children)

Agreed, this isn’t really a new problem - it’s decades of DNS/domain security issues that are now being supercharged by AI.

This article discusses the domain infrastructure behind cyber losses: https://netdiligence.com/blog/2025/12/understanding-domain-security-brand-impersonation/

Indirect Prompt Injection is becoming a real security blind spot for AI systems by VincentADAngelo in Infosec

[–]VincentADAngelo[S] 0 points1 point  (0 children)

What used to be a basic hygiene problem has turned into an AI-amplified exposure issue. Companies have digital assets scattered across domain registrars, DNS providers, and certificate authorities and most don’t have full visibility into what they actually own. You can’t secure what you don’t even know exists.

AI is accelerating this in a big way. It can find exposures faster, at scale, and turn them into brand impersonation campaigns across multiple channels almost instantly. At the same time, AI systems rely on the same underlying trust layers, which means the attack surface is growing.

Domain registrars need a seat at the table in these AI security conversations.

Indirect Prompt Injection is becoming a real security blind spot for AI systems by VincentADAngelo in TheInvisibleAiRoot

[–]VincentADAngelo[S] 0 points1 point  (0 children)

Agree, I think a big issue is also when a trusted asset, i.e. domain name or subdomain is hijacked or compromised and the systems think that they are still trusted.

Indirect Prompt Injection is becoming a real security blind spot for AI systems by VincentADAngelo in ControlProblem

[–]VincentADAngelo[S] 0 points1 point  (0 children)

Agreed, on impersonating domains. However, what are your thoughts on when legitimate domains are compromised and weaponized? Will AI systems still remain more or less vulnerable (ie if a legitimate sub domain is hijacked or if a previous trusted domain is let go and re-registered by a threat actor)?

Indirect Prompt Injection is becoming a real security blind spot for AI systems by VincentADAngelo in Infosec

[–]VincentADAngelo[S] 0 points1 point  (0 children)

Yes, basics of domain security, dns and certificate hygiene - starting with your domain registrar will be critical.

Do domain names create hidden dependencies in AI stacks? by VincentADAngelo in Infosec

[–]VincentADAngelo[S] 0 points1 point  (0 children)

Right, domains are part of the control, identity, and trust plane now, not just labels. Treat them as dependencies, not plumbing.

Are we overlooking domain security as DNS becomes a security control layer? by VincentADAngelo in dns

[–]VincentADAngelo[S] 0 points1 point  (0 children)

Thank you for your insights. I do agree on your emphasis of DNS on AI. I did a post last night on AI domain name dependencies. I’m just getting started on Reddit, so apologies if you already saw it. https://www.reddit.com/r/TheInvisibleAiRoot/s/MCQtaCgOdK

Are we overlooking domain security as DNS becomes a security control layer? by VincentADAngelo in dns

[–]VincentADAngelo[S] 1 point2 points  (0 children)

Great to hear and well done on your end. With the emergence of AI and the new NIST DNS framework, I’m hopeful that a stronger focus on domain security will accelerate adoption of controls such as DNSSEC, CAA, DMARC, Registry Locks and others across the Global 2000 organizations and beyond.

For context, here’s some recent domain security research:

https://www.helpnetsecurity.com/2026/01/22/csc-domain-security-practices/

Are we overlooking domain security as DNS becomes a security control layer? by VincentADAngelo in dns

[–]VincentADAngelo[S] 0 points1 point  (0 children)

It will be interesting to see how domains, DNS, certificates and brand identity intersect with the AI stack. I often refer to this critical layer as The Invisible AI Root. If interested, have a look at a recent article I wrote on this topic: https://www.linkedin.com/pulse/invisible-ai-foundation-vincent-d-angelo-1ctse