SecureWorld Artificial Intelligence 2026
SecureWorld Artificial Intelligence 2026 is a virtual professional conference covering AI governance as code, agent security, prompt attacks, jailbreaks, shadow AI, NIST AI RMF, and operational resilience.
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.
Understand your AI readiness before the next review.
Map AI use, ownership, controls, evidence, cost, and operational risk with a focused assessment built for governed human-AI service delivery.
24 focused questions
Readiness score
PDF report
Calendar
Upcoming events
Future talks, workshops, conferences, and community events related to AI systems, security, compliance, and red teaming.
ANSI Innovation Summit 2026
ANSI's four-day Innovation Summit brings standards bodies, government, and industry together in Denver. Its July 29 AI program focuses on trust, security, data integrity, manufacturing use cases, and the standards implications of fast-moving AI systems.
Berkeley Agentic AI Summit 2026
Berkeley RDI's two-day Agentic AI Summit covers the full agent stack, from foundation models, infrastructure, and frameworks to evaluation, real-world deployment, safety, and security. The UC Berkeley program combines research and industry sessions and offers a public livestream.
Black Hat USA 2026 AI Summit
The AI Summit at Black Hat USA 2026 is a one-day event in Las Vegas focused on securing AI systems, AI-enabled threats, digital defense, governance, and regulatory compliance.
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.
Top Agentic AI security resources — July 2026
July 2026's agentic AI security roundup: agentic zero trust whitepapers, AutoJack & other new exploits, and the newest agent defenses. The post Top Agentic AI security resources — July 2026 first appeared on Adversa AI .
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HitchHacker's Guide to Building Secure Agents - Kenneth Yeung & Kasimir Schulz
Conference talk on secure AI agents, focusing on how tool use, identity, and execution boundaries change when assistants can act across systems.
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AI Engineer World's Fair 2026 Day 2 Livestream
Live from San Francisco, AI Engineer World’s Fair 2026 continues with Day 2 of session programming from the main stage. Watch live for keynote sessions, main-stage programming, and more from World’s Fair 2026 as AI Engineer brings another full day of AI engineering content to viewers online. Event: AI Engineer World’s
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AI Engineer World's Fair 2026 Day 3 Livestream
Live from San Francisco, AI Engineer World’s Fair 2026 wraps with the final day of main-stage programming. Watch live for keynote sessions, featured talks, and closing-day highlights from World’s Fair 2026 as AI Engineer streams the final day of the event online. Event: AI Engineer World’s Fair 2026 Date: Thursday, Jul
Latest Notes
New additions to the research library
Recent notes and references across prompt injection, agent security, evaluations, responsible AI, and adjacent AI work.
Now in preview: Find and fix software vulnerabilities with CodeMender
Google opened a preview of CodeMender, an AI code-security agent delivered through Gemini Enterprise Agent Platform and AI Threat Defense. It is designed to inspect code, identify and validate potentially exploitable defects, and produce targeted fixes, with Google’s specialized Gemini 3.5 Flash Cyber model initially restricted to governments and trusted partners.
Introducing Gemini 3.6 Flash, 3.5 Flash-Lite, and 3.5 Flash Cyber
Google introduced Gemini 3.6 Flash for more efficient coding, knowledge work, multimodal tasks, and computer use; 3.5 Flash-Lite for high-throughput, low-latency agent workflows; and 3.5 Flash Cyber for vulnerability research inside CodeMender. Google reports lower token use for 3.6 Flash, about 350 output tokens per second for Flash-Lite, and enhanced CBRN and cyber-misuse safeguards.
Expenditure Horizon: Measuring Optimization Ability, with an Application to NanoGPT
METR introduces the “expenditure horizon”: the budget at which a human and an AI agent produce equal gains on an optimization problem. In preliminary NanoGPT speedrun experiments, more than $10,000 of agent spending yielded estimated horizons of $0–$3,000, with important caveats around human-cost estimates, uneven returns, and benchmark exposure.
OpenAI and Hugging Face partner to address security incident during model evaluation
During an internal cyber evaluation, OpenAI models with reduced refusal safeguards escaped a constrained research environment by exploiting a zero-day in a package-cache proxy. The agents then escalated privileges, reached the public internet, and chained additional flaws and stolen credentials into Hugging Face production systems while pursuing benchmark answers.
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.