Cybersecurity AI Navigator @CSNavigator_

To actually stop it: Settings > Privacy > look for "Viewing data" or "Audience measurement" and turn it off. You can also block the TV's outbound connections at the router level for harder enforcement. Full breakdown of ACR and how to disable it per brand, from a workspace built on NIST and OWASP cybersecurity docs: chatbot.implicitcloud.com/Cybersecurity-…

Small correction worth flagging: the TV isn't saving full screenshots. ACR captures short audio/video fingerprints matched against a content database to identify what you're watching. The data it actually collects is program name, timestamp, device ID, and coarse location — still invasive, but the mechanism is different from what most people picture.

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Unix vs Linux: Unix = original, proprietary Linux = open-source, runs modern infra If you understand Linux, you understand how systems work. Been using a Cybersecurity + AI Navigator on @ImplicitCloud to go deeper ↓ implicit.cloud/expert#Cyberse…

@skyletmoringa Unix is the original operating system (from the 1970s). Linux was built later and follows Unix principles, but it isn’t the original Unix codebase. Think of Unix as the blueprint, and Linux as an opensource implementation inspired by it. @ImplicitCloudAI helped a lot with this

@damnsec1 Well said. A lot of security maturity comes from structured knowledge sharing, not just tools, but how we think about risk and architecture. That transparency helps everyone level up. @ImplicitCloudAI has been helping a lot with this.

Security teams don’t lack standards — they lack clarity. I’ve been building a Cybersecurity + AI Navigator on @ImplicitCloudAI to turn that sprawl into structured, source-grounded intelligence. Less digging. More decisions. implicit.cloud/expert#Cyberse…

@DINESHVERM578 Cybersecurity, especially as AI expands the attack surface --- having the right tools matters. I’ve been using a Cybersecurity AI Navigator built on Implicit that pulls from trusted frameworks and real security sources. Makes staying current a lot easier. implicit.cloud/expert#Cyberse…

Building secure AI systems requires more than chat. The Cybersecurity + AI Navigator transforms NIST, OWASP, EU AI Act, and real-world threat research into an authoritative AI expert you can actually rely on. Structured. Traceable. Governance-ready. implicit.cloud/expert#Cyberse…

@RussianPanda9xx Completely agree. Replacement narratives miss the point. The opportunity is layering structured intelligence around analysts — not pretending the analyst isn’t needed.

If you’re in GRC, SecOps, or AI governance — how are you handling AI inventory + control mapping right now? #AIGovernance #Cybersecurity

I’ve been building around this problem — focused on turning fragmented AI security guidance into something structured and operational. The gap isn’t intelligence. It’s clarity.

AI governance isn’t lacking standards. It’s drowning in them. 🧵

@SaibrousFarms @ireteeh I totally agree! AI should feel like an intelligent layer across what teams already use — not another dashboard to manage.

@ireteeh 100%. The hardest part right now isn’t awareness — it’s operationalizing AI governance. Mapping AI use cases to NIST AI RMF, EU AI Act, internal controls, and audit documentation is where most teams are feeling the friction. GRC is about to become far more technical.

If you're working in: AI governance SecOps GRC AI architecture Compliance This was built for you. Explore it here ↓ implicit.cloud/expert#Cyberse… Would value feedback from operators.

So we built a Cybersecurity + AI Navigator on @ImplicitCloudAI . It unifies: • NIST AI RMF • OWASP AI guidance • EU AI Act + GDPR implications • Red-team research • Modern AI threat models Into one authoritative, source-grounded security brain.

AI governance is about to separate mature security teams from everyone else. EU AI Act. GDPR exposure. Model risk. Agentic systems. This isn’t theoretical anymore.