Skip to content

About us

Machine Learning Meetup (MLMU) is a community of those interested in (not only) machine learning. Visit our regular meeting and get inspired and educated by interesting talks and people. Cutting edge methods, experience, tools, algorithms, applications and much more ... 

More details at www.mlmu.cz .. 
You can also contact as via email brno@mlmu.cz .

Upcoming events

1

See all
  • Cybercamp.ai

    Cybercamp.ai

    JIC, Purkyňova 127, 612 00 Brno-Medlánky, Czechia, Brno-Medlánky, CZ

    What happens when AI gets access to your systems, data and decisions?
    Cybercamp is a new conference in Brno, part of
    Dny AI, focused on the intersection of #Cybersecurity and #AI.

    == Confirmed talks and workshops ==

    ​🔐 You Can't Secure What You Don't Control
    Marek 'marx' Grác (Principal Research Fellow, Red Hat)
    This keynote examines how visibility, asset management, access control, AI gateways, and data anonymization enable verifiable AI security and compliance.
    ​🔎 The Scanner Said Clean. We Ran It Again: Stochastic False Negatives in Vulnerability Detection
    Petr Simecek (AI Researcher, AISLE)
    A 25,000-trial study shows that diverse, inexpensive models outperform single models in detecting vulnerabilities, while stateful C bugs remain difficult to rediscover.

    ​🧪 Poison the Well: Real-world context poisoning attacks against AI agents
    Radek Hendrych (Staff Security Manager, Productboard)
    Explores how context poisoning attacks target AI agents, why they are difficult to detect and defend against, and emerging mitigation strategies.

    ​🕵️ Agentic AI in Threat Intelligence: LLMs and Beyond
    Roman Oravec (Threat Intelligence Specialist, Whalebone)
    A production case study on using agentic AI, deterministic pipelines, and offline evaluation to detect malicious domains and improve threat intelligence outcomes.

    ​🚧 99% Accuracy, Still Hijacked: Lessons from Building a Custom Prompt Injection Gate
    Marina Volkova (AI Researcher, Emplifi)
    This talk examines why prompt injection detectors fail in production and presents better datasets, hard negatives, fine-tuning, calibration, and thresholding strategies.

    ​🐳 YOLO mode, isolated by design. How Docker's sandboxes change what "allow all" means
    Pawel Piwosz (Developer Advocate, UpCloud)
    A live demonstration of an autonomous AI agent running a dangerous task inside Docker Sandboxes with per-agent microVMs and controlled file, network, and secret boundaries.

    ​📊 The Assurance Gap: A Practical Method for Scoring AI Model Trust
    John Waller (Cyber/AI/Risk Advisory Leader, UltraViolet Cyber)
    Summary: A six-domain, evidence-weighted method scores AI model assurance, applies overriding gates, and evaluates specific model artifacts rather than model families.

    ​🪪 When AI Agents Become the Attacker: Identity Hijacking Across Autonomous Workflows
    Samet Can Taşcı (Associate Vice President, ISS STOXX)
    Examines how attackers can hijack enterprise AI agents through prompt injection and untrusted inputs, exploiting delegated permissions and tool integrations, with defensive mitigation strategies.

    ​📡 The Age of Borg: Assimilating your perimeter
    Caleb Crable (Principal AI Red Team Engineer, Ethos)
    A framework uses AI, repurposed phones, and security devices to passively detect, illuminate, and triangulate signal activity around a property at the hardware-address level.

    ​🛡️ Read Everything, Send Nothing: I Gave an AI Agent My Life
    Tin Marković (Independent software consultant)
    A talk about Seneschal, an open-source broker that limits AI agents through revocable permissions, human approvals, append-only actions, and protection against prompt injection.

    ​🧰 AI security survival playbook: a practical guide
    Marek Šottl (CEO of HackiHub)
    The session presents practical defenses for prompt injection in LLM applications, including NLP input validation, prompt tracing, threat modeling, and layered security controls.

    ​🎯 AI Pentesting: Hype or Reality? Lessons from Building an Autonomous Pentesting Solution
    Dávid Bolvanský (Software Engineer, Invicti Security)
    An engineering account of building Invicti’s autonomous AI pentesting solution, examining its capabilities, limitations, architecture, and impact on offensive security.

    Become also a speaker, submit your talk now! 🎤
    ​We’re especially interested in practical experience, real-world case studies, research, and things you’ve learned the hard way, around topics such as:
    ​🔐 Security & Safety of AI
    🤖 AI Agents & AI Deployment
    🛡️ AI for Cybersecurity
    ⚖️ Compliance, Risk & Governance
    🔴 AI Red Teaming & Attacks
    ​If you have something worth sharing with the community, send us your talk or get in touch.

    ​📅 6 November 2026
    📍 JIC STARTUP HUB, Brno
    🇬🇧 English

    🎟️ Get your tickets: luma.com/cybercampai
    🎤 Submit your talk: sessionize.com/cybercampai

    • Photo of the user
    • Photo of the user
    • Photo of the user
    13 attendees

Group links

Organizers

Members

1,536
See all

Find us also at