Uptycs - CNAPP for Hybrid Cloud Security @uptycs
Uptycs is the first unified #CNAPP & #XDR Solution. Because attackers don't think in silos & neither should you. #Cybersecurity #CloudSecurity #ThreatResearch uptycs.com Waltham, MA Joined September 2016-
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#Osquery helps teams investigate continuously instead of reacting after the fact. Better endpoint visibility, faster investigations, and stronger change tracking all start with consistent telemetry. hubs.ly/Q04hYM-x0 #CyberSecurity #SecOps
A vulnerability alone doesn’t explain risk. #CNAPP becomes more effective when teams can connect exposure, runtime activity, identity, and attack paths instead of chasing disconnected alerts. hubs.ly/Q04hXtkw0 #CloudSecurity #CyberSecurity
Quantum risk won’t arrive with an alert. Data encrypted today could become readable later as quantum capabilities evolve, which is why #CyberSecurity teams should already be assessing cryptographic exposure and long-term data protection. hubs.ly/Q04h_X4j0 #QuantumSecurity
You can have visibility and still miss what matters. If you can’t trace activity, follow behavior over time, and connect signals across systems, you can’t fully reconstruct what happened. That’s a telemetry problem. hubs.ly/Q04h3JsM0 #CNAPP #CyberSecurity
Security AI doesn’t struggle with data. It struggles with structure. When signals live in separate models, AI can’t connect them or explain how they relate. That’s why a unified model matters. hubs.ly/Q04h3dsl0 #SecurityAI #CNAPP
Most #SecurityAI tools retrieve patterns instead of reasoning. That’s why answers look complete but fall short in real investigations. Security needs queries, evidence, and step-by-step thinking to reach the right conclusion. hubs.ly/Q04h3MGD0 #CNAPP
Endpoint visibility isn’t just about logs. If you can’t trace behavior over time or connect it across cloud & identity, you’re missing context. It’s not just signals. It’s how they come together to explain what happened. hubs.ly/Q04gYRdT0 #EndpointSecurity #CyberSecurity
Dashboards give visibility, not investigation. When something breaks, you’re still clicking through views to connect signals and figure out what happened. Prompt-driven CNAPP changes that, ask a question and follow the investigation. hubs.ly/Q04gYJLT0 #SecurityAI #CNAPP
If I were evaluating CNAPP, I wouldn’t start with features. I’d ask if I can trace activity across cloud, runtime, and identity in one place, with real context and history. That’s what actually matters in an investigation. hubs.ly/Q04gYtHc0 #CNAPP #CloudSecurity
Osquery gives deep visibility. But if you’re not using it to query in real time, track changes, and investigate at scale, you’re missing its value. It’s not just about seeing what’s there. It’s about understanding what changed. hubs.ly/Q04gl1d90 #Osquery #CyberSecurity
Trust is the biggest gap in #SecurityAI. Not because answers are wrong, but because you can’t see how they’re produced. If results aren’t tied to real queries and reasoning, teams still have to validate everything. That’s where time is lost. bit.ly/3PCqP00 #CNAPP
Security AI is limited by the environment underneath it. When cloud, identity, endpoint, and telemetry data stay fragmented, AI can summarize alerts but struggle to explain how events actually connect. That’s the real gap. Read more: bit.ly/3PAR471 #SecurityAI #CNAPP
Not all visibility is equal. Shallow telemetry gives snapshots. Deep telemetry gives a timeline you can investigate and connect across systems. That’s what turns data into understanding. Explore how telemetry changes outcomes: bit.ly/42btG2O #CNAPP #CyberSecurity
A CNAPP platform should simplify investigations, not fragment them. If getting answers isn’t quick, it’s usually because context is scattered across tools. That’s the real problem. See it in practice: bit.ly/4urECp5 #CNAPP #CloudSecurity
Security AI isn’t limited by models. It’s limited by context. Single-pass prompts miss how environments behave, which is why investigations fall short. Agentic security brings context, iteration, and depth back. Understand how: bit.ly/49oShF6 #SecurityAI #CNAPP
AI can’t reason across fragmented security data. Without a unified model connecting cloud, identity, and endpoints, it just summarizes signals. That’s why AI-native security needs an ontology-driven layer. hubs.ly/Q04d-CY30 #SecurityAI #CNAPP
CNAPP isn’t about adding more tools. It connects cloud posture, runtime activity, and identity so you can see risk in context and act faster without switching tools. That’s what makes visibility actually useful. hubs.ly/Q04d8FHB0 #CNAPP #CloudSecurity
Osquery is powerful, but many teams only use it for basic visibility. If you’re not using it for real-time queries, tracking changes, and investigations at scale, you’re missing what makes it valuable. hubs.ly/Q04d8nqS0 #Osquery #CyberSecurity #ThreatDetection
#Quantum risk isn’t about today. Data encrypted now could be exposed years later when quantum capabilities catch up. If you’re not identifying what needs long-term protection and preparing for post-quantum security, you’re already behind. hubs.ly/Q04d8sxY0 #CyberSecurity
Security AI isn’t limited by models. It’s limited by context. Single-pass prompts miss how environments behave, which is why investigations fall short. Agentic security brings context, iteration, and depth back. See how: hubs.ly/Q04dc5Y10 #SecurityAI #CNAPP
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