Deep Hat

Microsoft [MSFT -1.16%] CEO Satya Nadella warned at the World Economic Forum in Davos that “companies risk “leaking” enterprise value to outside AI developers if they fail to embed proprietary knowledge in models they control, calling firm sovereignty the most underdiscussed topic of the year.” observer.com/2026/01/micros…

Full Guide to the AI-native SOC workflows in this clip: kindo.ai/blog/a-guide-t… See how detection flows directly into automated containment, identity lockdown, network blocking, verification, and a complete remediation trail in one governed terminal.

This is AI-native containment and response. Detection, remediation, and verification, running in the same AI-native workflow. This video shows Kindo’s SOC agent detecting malware in CrowdStrike Falcon, isolating the endpoint, blocking the C2 IP in Cisco Firepower, disabling the compromised user in Microsoft Entra ID, verifying each action, and logging the full containment workflow with an auto-created Jira ticket. Full Guide in the comments. #KindoAI #SOC #SecOps #AgenticAI

This isn’t “AI-assisted” pen testing. Deep Hat produces attacker-grade findings that flow directly into execution inside @KindoAI, where they’re fixed and verified without dilution. #DeepHatAI #RedTeam #PenTesting #OffensiveSecurity

Monitoring tells you what happened. Investigation tells you what’s happening. This post walks through: -Why AI-driven attackers hide where tools can’t see -How long-dwell threats evade anomaly detection -Why runbooks, not dashboards, are the real scaling unit -What changes when agents execute security work end to end Read the full post here: kindo.ai/blog/securitys…

This isn’t a dashboard. It’s the outcome. An AI agent investigated cloud activity, applied runbook logic, classified CRITICAL risk, and delivered actions in minutes. No alerts to triage, queries to write, or waiting required. Monitoring can’t see everything. Agents can investigate. Read more ↓

This is what a real pen test looks like in 2026. Red team findings don’t stop at a report. They flow straight into execution. Vulnerabilities are validated, traced to impact, and fixed inside the same AI-native terminal. No handoffs. No context loss. Real security work, end to end. This is AI-native technical operations. #PenetrationTesting #RedTeamOps #SecOps #AISecurity

Most IAM programs fail for one reason: They stop at visibility. AI-driven attacks abuse identity at machine speed. Governance that lives in reviews, tickets, and CSVs can’t keep up. This is why we built AI-native IAM workflows in Kindo. 👇🧵

In a swarm-based attack model, no single surface defines the perimeter. Modern attacks don’t show up as a single alert or a clean sequence anymore. They show up as coordinated pressure across identity, cloud, SaaS, and infrastructure at the same time. Human-only defense breaks down when attackers operate at machine speed. AI-native execution changes what defense can actually do in real environments. AI-native security has to defend the way attackers operate: as a swarm, not a campaign. Today’s blog breaks down real-world examples of how these attacks unfold and what actually changes when defense runs at machine speed. Link in the comments 👇 #CyberSecurity #CISO #AISecurity #AgenticAI #SecurityOperations #CloudSecurity #EnterpriseSecurity #KindoAI

Modern attacks apply coordinated pressure across identity, cloud, SaaS, and infrastructure at the same time. This piece breaks down what AI-enabled attack swarms actually look like in practice, why human-only defense can’t keep up, and how AI-native execution changes the defensive equation. Read it here 👇 kindo.ai/blog/why-cisos…

Full blog: Modern attacks don’t follow campaigns. They operate as coordinated AI swarms across identity, cloud, SaaS, and infrastructure. This piece breaks down what that actually looks like. Read it here 👇 kindo.ai/blog/why-cisos…

Offense sets the rules. Modern attacks operate as AI swarms, not campaigns. Deep Hat simulates how real attackers move today. Full breakdown in the comments 👇

Andrej Karpathy literally built the neural networks running inside coding assistants. He taught the world deep learning at Stanford. He ran AI at Tesla. If he feels “dramatically behind” as a programmer… that tells you everything about where we are. The confession here is that raw intelligence and deep technical knowledge no longer guarantee mastery. The new stack isn’t about understanding transformers or writing elegant algorithms. It’s about orchestrating a zoo of stochastic systems that nobody fully controls. Karpathy’s list is revealing: agents, subagents, prompts, contexts, memory, modes, permissions, tools, plugins, skills, hooks, MCP, LSP, slash commands, workflows, IDE integrations. That’s 15+ new primitives that didn’t exist 18 months ago. Each one evolving weekly. The mental model problem is real. Traditional engineering gives you deterministic systems. You write code, it does exactly what you wrote. Now you’re managing entities that are “fundamentally stochastic, fallible, unintelligible and changing.” His “alien tool with no manual” framing is exactly right. We’re all reverse-engineering capabilities in real-time. The documentation is always out of date. The best practices from 3 months ago are already wrong. The magnitude 9 earthquake isn’t coming. It already hit. The aftershocks are the new normal.

Just a reminder that none of this existed last year: DeepSeek: R1 Qwen2.5-Max Sonar Reasoning Mistral: Mistral Small 3 o3 Mini Mistral Small 3 Gemini 2.0 Flash-Lite Gemini 2.0 Pro Google: Gemini 2.0 Flash Llama-3.1-70B-Instruct OpenAI: o3 Mini High Grok-3 Saba Claude 3.7 Sonnet (thinking) Claude 3.7 Sonnet Gemini 2.0 Flash Lite GPT-4.5 DeepSeek-V2.5 llama-4 Sonar Reasoning Pro Sonar Pro Sonar Deep Research Phi 4 Multimodal Instruct Qwen2.5-72B-Instruct GPT-4o-mini Search Preview GPT-4o Search Preview Gemma 3 27B Gemma 3 4B Gemma 3 12B Mistral Small 3.1 24B Mixtral-8x22B-v1 o1-pro (api) DeepSeek V3 0324 Gemini 2.5 Pro DeepSeek-V3-0324 Llama-4-Scout Llama-4-Maverick Llama 3.1 Nemotron Ultra 253B v1 Grok 3 Mini Beta Grok 3 Beta GPT-4.1 GPT-4.1 Mini GPT-4.1 Nano o4-mini o4 Mini High o3 o4 Mini Qwen3 Qwen3-32B DeepSeek Prover V2 Phi 4 Reasoning Plus DeepSeek-R1-Distill-70B Mistral Medium 3 Google: Gemini 2.5 Pro Preview 05-06 Phi-4 Codex Mini Gemma 3n 4B Devstral Small 2505 Claude Opus 4 Claude Sonnet 4 DeepSeek-R1-0528 DeepSeek R1 0528 Qwen3 8B Smaug-72B Gemini 2.5 Pro Preview 06-05 o3 Pro Grok 3 Mini Kimi Dev 72B MiniMax M1 Gemini 2.5 Flash Gemini 2.5 Pro Gemma-3-27B Mistral Small 3.2 24B Inception: Mercury Mistral Large 2 Morph V3 Large Morph V3 Fast Grok 4 Gemma 3n 2B Devstral Medium Devstral Small 1.1 Kimi K2 0711 Google: Gemini 2.5 Flash Lite GLM 4 32B GLM 4.5 GLM 4.5 Air (free) GLM 4.5 Air Codestral 2508 Claude Opus 4.1 gpt-oss-120b gpt-oss-20b Claude Opus 4.1 GPT-5 Chat GPT-5 GPT-5 Mini GPT-5 Nano GLM 4.5V Mistral Medium 3.1 GPT-4o Audio DeepSeek V3.1 DeepSeek V3.1 Grok Code Fast 1 Gemini 2.5 Flash Image Preview (Nano Banana) Kimi K2 0905 NVIDIA: Nemotron Nano 9B V2 Qwen3-110B Grok 4 Fast DeepSeek V3.1 Terminus GPT-5 Codex Gemini 2.5 Flash Preview 09-2025 Gemini 2.5 Flash Lite Preview 09-2025 Claude Sonnet 4.5 DeepSeek V3.2 Exp GLM 4.6 GLM 4.6 (exacto) GPT-5 Pro Gemini 2.5 Flash Image (Nano Banana) o3 Deep Research o4 Mini Deep Research Llama 3.3 Nemotron Super 49B V1.5 GPT-5 Image Claude Haiku 4.5 Claude Haiku 4.5 GPT-5 Image Mini MiniMax M2 Nemotron Nano 12B 2 VL (free) Nemotron Nano 12B 2 VL gpt-oss-safeguard-20b Sonar Pro Search Voxtral Small 24B 2507 Nova Premier 1.0 Kimi K2 Thinking KAT-Coder-Pro V1 (free) GPT-5.1 GPT-5.1 Chat GPT-5.1-Codex GPT-5.1-Codex-Mini Gemini 3 Google: Gemini 3 Pro Preview GPT-5.1-Codex-Max Grok 4.1 Fast Nano Banana Pro (Gemini 3 Pro Image Preview) Claude Opus 4.5 DeepSeek-V3.2 Mistral Large 3 2512 DeepSeek V3.2 Speciale DeepSeek V3.2 Nova 2 Lite (free) Nova 2 Lite Ministral 3 14B 2512 Ministral 3 8B 2512 Ministral 3 3B 2512 GPT-5.1-Codex-Max Relace Search GLM 4.6V Devstral 2 2512 (free) Devstral 2 2512 GPT-5.2 Chat GPT-5.2 Pro GPT-5.2 MiMo-V2-Flash (free) Nemotron 3 Nano 30B A3B (free) Mistral Small Creative Gemini 3 lite

I was inspired by this so I wanted to see if Claude Code can get into my Lutron home automation system. - it found my Lutron controllers on the local wifi network - checked for open ports, connected, got some metadata and identified the devices and their firmware - searched the internet, found the pdf for my system - instructed me on what button to press to pair and get the certificates - it connected to the system and found all the home devices (lights, shades, HVAC temperature control, motion sensors etc.) - it turned on and off my kitchen lights to check that things are working (lol!) I am now vibe coding the home automation master command center, the potential is 🔥.And I'm throwing away the crappy, janky, slow Lutron iOS app I've been using so far. Insanely fun :D :D

I've never felt this much behind as a programmer. The profession is being dramatically refactored as the bits contributed by the programmer are increasingly sparse and between. I have a sense that I could be 10X more powerful if I just properly string together what has become available over the last ~year and a failure to claim the boost feels decidedly like skill issue. There's a new programmable layer of abstraction to master (in addition to the usual layers below) involving agents, subagents, their prompts, contexts, memory, modes, permissions, tools, plugins, skills, hooks, MCP, LSP, slash commands, workflows, IDE integrations, and a need to build an all-encompassing mental model for strengths and pitfalls of fundamentally stochastic, fallible, unintelligible and changing entities suddenly intermingled with what used to be good old fashioned engineering. Clearly some powerful alien tool was handed around except it comes with no manual and everyone has to figure out how to hold it and operate it, while the resulting magnitude 9 earthquake is rocking the profession. Roll up your sleeves to not fall behind.

Open LLMs shape both offense and defense. Ron Williams digs into the practical criteria that matter most for threat modeling in 2026 ➤ kindo.ai/blog/evaluatin… #Infosec #ThreatIntel

Watch the full Deep Hat v2 Live Panel here: go.kindo.ai/webinar/deepha…

⚡ Deep Hat v2 changes the speed equation in security. Defenders finally move as fast as attackers. Peter Clay, CISO at Aireon, describes the moment that became obvious in practice in this clip. #DeepHat #OffensiveAI #RedTeamAI #AINativeTerminal #SecOps #CyberDefense #KindoAI