Data + AI Summit 2026
Data + AI Summit 2026 is Databricks’ global data and AI conference in San Francisco and online, with 800+ sessions across data engineering, analytics, ML, governance, and agent applications.
AI Engineering // Security // Governance
AI systems in practice
Engineering notes and curated references on AI systems, prompt injection, agent behavior, responsible AI, governance, and compliance.
Calendar
Upcoming events
Future talks, workshops, conferences, and community events related to AI systems, security, compliance, and red teaming.
AI Engineer World's Fair - JUNE 29 - JULY 2, 2026 • SAN FRANCISCO, CA
AI Engineer runs the most viewed technical conferences in AI for engineers, with over 10M+ views of our talks online. We are back in SF for the 4th year in a row! This is the one place you can meet with every major frontier lab, leading AI clouds, and AI native/transformed companies — from disruptive AI startups to Fortune 500 AI leaders, and every notable building block in the LLM OS ecosystem.
ICML 2026
ICML 2026 takes place at COEX in Seoul, South Korea, with tutorials, main conference sessions, and workshops covering core machine learning research.
Black Hat USA 2026 AI Summit
Black Hat USA 2026 includes an AI Summit and security briefings in Las Vegas focused on how artificial intelligence is changing digital defense.
Featured Reading
Current material worth reading
Curated research, system cards, and technical write-ups that are useful for understanding how AI systems are being evaluated, attacked, governed, and deployed in practice.
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Attacking AI - Jason Haddix - NDC Security 2026
Attacking AI is a one of a kind session releasing case studies, tactics, and methodology from Arcanum’s AI assessments in 2024 and 2025. While most AI assessment material focuses on academic AI red team content, “Attacking AI” is focused on the task of assessing AI enabled systems.
Assessing Claude Mythos Preview’s cybersecurity capabilities
Claude Mythos Preview is a new general-purpose language model that is strikingly capable at computer security tasks. This post provides technical details for researchers and practitioners who want to understand exactly how we have been testing this model, and what we have found over the past month. We hope this will sh
Detecting and analyzing prompt abuse in AI tools
Microsoft Incident Response explains how to detect prompt abuse using logging, telemetry, and incident response workflows.
Designing AI agents to resist prompt injection
OpenAI frames prompt injection as an agent-security problem that increasingly resembles social engineering rather than simple string matching.
Latest Notes
New additions to the research library
Recent notes and references across prompt injection, agent security, evaluations, responsible AI, and adjacent AI work.
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Claude Fable Blocked - 11 Quiet Details on What’s Next
Claude Fable 5 banned, but what’s the bigger story. We go through 11 under-reported details, so you have the context to see what’s coming next for your use of AI. From whether the ban will last, what the possible motives are, what the model can actually do, and some wild over-extrapolations going on. Check out my fast-
Powering the next era of Confidential AI
We are thrilled to collaborate with Apple on its expanded Private Cloud Compute (PCC) systems announced this week at WWDC 2026.
New Attacks Trick OpenClaw AI Agent Into Running Code and Leaking Secrets
Two security teams have shown, in separate research published this week, that OpenClaw, the popular self-hosted AI agent, can be driven to run attacker-controlled code or hand over sensitive data through ordinary-looking inputs. Imperva buried instructions inside shared contacts, vCards, and location pins that the agen
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The agent-ready web: Simplify user actions with WebMCP — Tara Agyemang, Google
Buying two concert tickets costs an AI agent the entire DOM, the accessibility tree, a screenshot, pixel coordinate math, and then a click that might miss because an ad just loaded and shifted the layout. Tara Agyemang from the Google Chrome team introduces WebMCP, a proposed web standard that replaces that process wit
Topic Coverage
Prompt engineering, AI compliance, agent security, and more
These topic hubs connect current engineering and research with the parts of AI security, governance, evaluation, and system behavior that are most useful in practice.
AI Red Teaming
Methods, case studies, and tooling for red teaming AI systems end to end.
Open topicPrompt Engineering
Prompt design patterns, instruction hierarchy, and defensive prompt construction.
Open topicPrompt Injection
Prompt injection attacks, mitigations, detection, and design patterns for safer AI applications.
Open topicAgent Security
Controls and attack paths for browsing, tool use, memory, identity, and action-taking agents.
Open topicModel Evaluation
Safety evaluations, system cards, preparedness, and security measurement for frontier models.
Open topicAI Compliance
Responsible AI, governance, standards, and regulatory reference material for teams mapping AI systems to policy and operational controls.
Open topicAdversarial ML
Adversarial machine learning attacks, taxonomies, and mitigations across the ML lifecycle.
Open topicAI Engineering
Application architecture, developer workflow, tooling, and production patterns for building AI systems.
Open topic
Profile
Profile and contact
Focused on AI engineering, responsible AI, compliance, model behavior, and operational AI systems. Current work includes founding AI operational software for compliance and financial tracking.