Agentic Cyber

Who Is Speaking at [un]prompted II: Every Session by Speaker, Company and Subject

By Renn Calloway · October 13, 2026

Category: ai-security-conferences

Who Is Speaking at [un]prompted II: Every Session by Speaker, Company and Subject

Every speaker on the [un]prompted II agenda, sorted by surname, with company, talk and stage, then grouped by concern and by employer. Read from the official agenda on 2026-10-12.

Key takeaways

  1. The problem The agenda read on 2026-10-12 lists 85 sessions on two stages across October 27-29, 2026, naming 106 distinct speakers.

  2. Core insight Gadi Evron of Knostic is host and CFP Chair, and he opens and closes all three days on Stage 1. Three slots are TBD or TBA and two titled sessions list no speaker, so the line-up is not final. Microsoft, Google, Meta and Dropbox each supply several speakers, and many other organisations supply one or two.

  3. Practical outcome This page is independent coverage and does not state what any speaker said, because the event has not happened.

[un]prompted II, the AI Security Practitioner Conference that many people search for as "unprompted", runs October 27-29, 2026 in San Francisco. The agenda lists 85 sessions on two stages over three days, and the line-up is the argument: who the programme invites says what the field now thinks is worth a stage. Our [un]prompted II conference guide covers the whole event. This page answers one question: who is speaking.

The names below come from the official agenda, which we read on 2026-10-12. An agenda can change, and this one still has open slots. We are independent coverage. We are not the organiser, a sponsor or a media partner, and we are following the event remotely. The conference has not happened, so this page never states what a speaker said. It reports what each published abstract claims, and what we plan to test.

The unprompted speakers, A to Z

This table lists every named speaker on the agenda as published on 2026-10-12, sorted by surname. A speaker with two talks has two rows. A blank company cell means the agenda lists none. We did not fill gaps by guessing. Gadi Evron, who is the host, opens and closes all three days on Stage 1.

SpeakerCompanyTalkDay and stage
Ankit AgrawalWebflowSandboxing Agents is a Three-Body Problem: Containment, Provenance, and the Human AuthorityDay 1, Stage 2
Ali ArshadConsortium NetworksYour AI Analyst Is Confidently Wrong: Adversarial QC for Agentic Security AnalysisDay 2, Stage 2
Aishwarya AthreyaVisaBeyond the SBOM: Proving Process Integrity with the Open PBOM SpecificationDay 3, Stage 2
Ela AvrahamiFrom Patch Generation to Evidence: Building Trust in AI-Generated CodeDay 3, Stage 2
Zvika BaboRadwareWho Is Prompt-Injecting Coding Agents? A Scan of 86 Million GitHub ItemsDay 1, Stage 2
Oleksii BaranovskyiCrackenWho Authorized the Agent? Making the AI Harness an Enforceable Compliance BoundaryDay 1, Stage 1
Zion BasqueUniversity of GeorgiaKuna: Building a Competitive C Decompiler Through Autonomous AI ResearchDay 2, Stage 2
Gabe BelloTwilioBuilding Security Review Agents: the Models are the Reliable PartDay 3, Stage 2
Rodrigo BrancoAnthropicAgent Authorization Is Not a Vault ProblemDay 3, Stage 1
Jonathan BrossardPSIRT.COMAttacking Truth: Breaking Proof Assistant Kernels in the Age of VericodingDay 3, Stage 2
Fatih BulutMicrosoftThe Autonomous Adversarial Loop: Fully Automating an Octo Tempest Purple-Team SimulationDay 1, Stage 2
Elie BurszteinGoogle DeepMindTaming AI Agents with Capsem: Hardware Sandboxing That Doesn't Kill ProductivityDay 1, Stage 1
John CartwrightAuto-Exploiter by Use of a Ratchet Loop, Code Understanding, and… HaikuDay 2, Stage 1
Rushikesh ChandakQulaysConfining Cross-Site Prompt Injection in Web AgentsDay 1, Stage 2
Viren ChaudhariQulaysConfining Cross-Site Prompt Injection in Web AgentsDay 1, Stage 2
Sahana ChennabasappaMetaPermission Fatigue Is a Security Bug: Dynamic Guardrails for Coding AgentsDay 2, Stage 2
David ChismonUK National Cyber Security CentreWhat Designing a Cyber Ontology for Agents Taught Us About GovernanceDay 2, Stage 1
Vincenzo CiancagliniOH MODEL, WHERE ART THOU: Hacking Chrome's Local SLMDay 2, Stage 2
Noam CohenTorqWhen Humans Can't Make It Hard Enough: Self-Hardening Environments for Frontier AI InvestigatorsDay 3, Stage 2
Daniel CuthbertYour Sandbox Degrades Gracefully, What's the Wurst That Could Happen?Day 1, Stage 1
Bruce DangCalif.io0-Click Remote Exploits in an AI WorldDay 1, Stage 1
Ads DawsonDreadnodeStealthBench: Can Autonomous Security Agents Do OPSEC Like An Experienced Operator?Day 1, Stage 1
Tim de WaalOpenAIPrompt, Patch, ProveDay 1, Stage 1
Amol DeshpandeStripeThere Isn't a Security Problem an Agent Can't Help SolveDay 2, Stage 1
Brendan Dolan-GavittXBOWA Tale of Two ChainsDay 1, Stage 1
Rik DolfingPandora's Dir: Hope at the bottom of ../Day 2, Stage 2
Joao DonatoPromptware EOD: Skillful Agent DetonationDay 1, Stage 2
Kevin DonovanCISACISA's Experience and Lessons Learned in AI-Enabled Vulnerability ManagementDay 1, Stage 1
Dan DyeGoogle Cloud SecurityEngineering Context for SOC Agents: Lessons, Failures, and Open QuestionsDay 3, Stage 2
Alec Eckmann"WTF Was That?" Dispatches From the Wrong End of an Agent SwarmDay 1, Stage 1
Guy EladReading the Residual Stream: Productizing Activation-Probe Security at IntuitDay 3, Stage 2
Sergej EppDebate: Where is the vulnpocalypse?Day 1, Stage 1
Sergej EppSay Shibboleth: Fingerprinting the Models Behind Agentic AttacksDay 1, Stage 2
Reef EttedguiPandora's Dir: Hope at the bottom of ../Day 2, Stage 2
Gadi EvronKnosticAuto-Exploiter by Use of a Ratchet Loop, Code Understanding, and… HaikuDay 2, Stage 1
Gadi EvronKnosticOpening Words and Closing Remarks (hosts all three days)Days 1-3, Stage 1
Damian FinolFelix PagoEnterprise OpenClaw: Tackling Agentic Security at ScaleDay 3, Stage 1
Alexander FrazerRunlayerAI Client Builders are Not Security Companies (And Shouldn't Have To Be)Day 2, Stage 2
Evelina GabasovaAisle IncHidden Triggers, Harmful Payloads: Auditing Trojan Open-Weight LLMsDay 2, Stage 2
Nick GallowayGoogle CloudSecure Product Development With MantisDay 1, Stage 2
Daniel GeyshisKnosticBITE – Behavior-Intent Traceable EvaluationDay 3, Stage 1
Nicole GrinsteadRobloxEveryone Wants All the AI Tools. Good.Day 3, Stage 1
Jeremiah GrossmanRoot EvidenceDebate: Where is the vulnpocalypse?Day 1, Stage 1
Anna GrozaCalif.io0-Click Remote Exploits in an AI WorldDay 1, Stage 1
Erez HarushWiz/GoogleSame Threat, Two Verdicts: Shadow Testing Our SOC AgentDay 3, Stage 1
Tobias HeldtXORModels vs Cyber Reality: Frontier Agents Against Our Own Privately Disclosed Zero-DaysDay 1, Stage 1
Ari Herbert-VossRunSybilWhat Building Early Foundation Models Teaches Us About AI Safety Hype vs. RealityDay 1, Stage 2
Alvaro InckotAI Client Builders are Not Security Companies (And Shouldn't Have To Be)Day 2, Stage 2
Sannan IqbalOscar HealthTwelve Consoles, One InvestigationDay 3, Stage 2
Tamir IsascharKnosticBITE – Behavior-Intent Traceable EvaluationDay 3, Stage 1
Jasmine JaksicNVIDIAAgentic AI in the Wild: What Real Deployments Teach Us About Governance and ScaleDay 3, Stage 1
Sunghyeon JoQED Audit; Georgia Institute of TechnologyCryptography Under AI PressureDay 2, Stage 2
Farzan KarimiModernaThreat Model Impossible: 1 Agent. 30 Days. 687 Security Reviews. And a Refrigerator.Day 3, Stage 1
Jason KeirsteadAgencyScore and AgencyGym: Measuring Excessive Agency Before DeploymentDay 2, Stage 2
Taesoo KimMicrosoftFrom DARPA AIxCC to Microsoft FORGE Lab: Lessons Building Hyperscale AI Code Scanning ToolsDay 1, Stage 1
Maxim KovalskyConsortium NetworksYour AI Analyst Is Confidently Wrong: Adversarial QC for Agentic Security AnalysisDay 2, Stage 2
Igor KozlovSimibian.aiOffense != Defense: LLM Cyber Defense – Hunt, Bust, ClimbDay 2, Stage 1
Rock LambrosZenityAll Tokens Are Created Equal, Including the Attacker'sDay 1, Stage 2
Kamile LukosiuteOpenAI FoundationBuilding the Defender's Advantage: Technical Solutions for AI Cyber ResilienceDay 2, Stage 1
Patrik MadaAisle IncHidden Triggers, Harmful Payloads: Auditing Trojan Open-Weight LLMsDay 2, Stage 2
Anjali MangalThe Autonomous Adversarial Loop: Fully Automating an Octo Tempest Purple-Team SimulationDay 1, Stage 2
Brooks McMillinDropboxApproval Is Not Human Presence: Building and Breaking an MCP Permission BrokerDay 3, Stage 2
Jagannadh MellacheruvuColumbia UniversityAuditing Someone Else's Confidential AIDay 2, Stage 2
Leo MeyerovichGraphistryThree Years of Evals Later: What's Changing in Model and Harness IR/SOC ScoresDay 1, Stage 1
Ariana MirianBeeSafe AIVictim as a Service: Defending Against Trust Based Scams using AIDay 3, Stage 1
David MolnarMetaHow Meta Changed Building Secure Software With AIDay 1, Stage 1
Xenia MountrouidouAppGateWe don't need an LLM for ThatDay 3, Stage 2
Akash MukherjeeRealm LabsAttention Is All You Need (to Catch Hallucinations & Prompt Injections)Day 1, Stage 2
Shahanas NajeebSalesforceMetrics for Agentic Systems: What "Good" Looks Like for a Security AgentDay 2, Stage 1
Gabi NakiblyRadwareWho Is Prompt-Injecting Coding Agents? A Scan of 86 Million GitHub ItemsDay 1, Stage 2
Shayaun NejadRubrikOpened Is Not Fixed: The Last Mile of AI Vulnerability RemediationDay 1, Stage 2
Ajaya NeupaneEnt AIHalf the Model Never Multiplies: Quantizing a Reasoner for the EndpointDay 2, Stage 2
Omer NevoIrregularWhen Evaluation Runs Start Talking to Each OtherDay 3, Stage 2
Vince OvandoThe Model Is NOT a Security Control: Prompt Injection Dies at the Token SamplerDay 1, Stage 2
Dario PasquiniCrackenSay Shibboleth: Fingerprinting the Models Behind Agentic AttacksDay 1, Stage 2
Chris PuderbaughMetaPermission Fatigue Is a Security Bug: Dynamic Guardrails for Coding AgentsDay 2, Stage 2
Venkat RaghavanLangGuard.AIAgencyScore and AgencyGym: Measuring Excessive Agency Before DeploymentDay 2, Stage 2
Jackson Reed–Dangerously-Deploy-Sandboxes: a Story of Isolation and AlignmentDay 3, Stage 1
Yolan RomaillerConfidential AIAI Inference and its Privacy and Confidentiality challengesDay 3, Stage 1
Olivia RoseWilliams Rose AI Cyber AdvisoryBuilt to Spec, Ignored in Practice: Rebuilding AI Intake People Actually UseDay 2, Stage 2
Markku-Juhani O. SaarinenMath Ability has Consequences: AI CryptanalysisDay 2, Stage 2
Bruce SchneierHarvard Kennedy School; University of TorontoIntegrous AI Systems DesignDay 3, Stage 1
Tim SchulzStarseerSame Score, Different Brain: Comparing Models by How They Process What They KnowDay 2, Stage 1
Eyal SelaGambit SecurityThe death of TTPs – Fully Autonomous Cyber Attacks in the WildDay 3, Stage 1
Giorgio SeveriMicrosoftBut the Reasoning Looks Right! Backdoors That Evade CoT MonitoringDay 1, Stage 2
Giorgio SeveriMicrosoftMemory Is the New Attack Surface: Benchmarking Poisoning Through Agent MemoryDay 2, Stage 1
Ruchi ShahGoogle CloudSecure Product Development With MantisDay 1, Stage 2
Tamir Ishay SharbatZenityPromptware EOD: Skillful Agent DetonationDay 1, Stage 2
Roei ShermanTwo Sparks Walk Into a LabDay 2, Stage 2
Saurabh ShintreRealm LabsAttention Is All You Need (to Catch Hallucinations & Prompt Injections)Day 1, Stage 2
Guy ShtarIntuitReading the Residual Stream: Productizing Activation-Probe Security at IntuitDay 3, Stage 2
Caleb Sima"WTF Was That?" Dispatches From the Wrong End of an Agent SwarmDay 1, Stage 1
Petr SimecekAISLEThe Scanner Said Clean. We Ran It Again: Stochastic False Negatives in LLM Vulnerability DetectionDay 2, Stage 1
Matt SuicheTolmoWeightless: Abliteration Without the WeightsDay 2, Stage 1
Mike TakahashiZenityInto the Wild: Hunting Real-World Attacks on AI SystemsDay 1, Stage 2
Kat TraxlerVectra AIYour Harness Needs a Security ConstitutionDay 1, Stage 1
David TulisTrendAIOH MODEL, WHERE ART THOU: Hacking Chrome's Local SLMDay 2, Stage 2
Kavia VenkateshCignaBeyond the SBOM: Proving Process Integrity with the Open PBOM SpecificationDay 3, Stage 2
Tal WaitzenbergWiz/GoogleSame Threat, Two Verdicts: Shadow Testing Our SOC AgentDay 3, Stage 1
Chenxi WangRain CapitalAgentic AI in the Wild: What Real Deployments Teach Us About Governance and ScaleDay 3, Stage 1
Kayla WilliamsWilliams Rose AI Cyber AdvisoryBuilt to Spec, Ignored in Practice: Rebuilding AI Intake People Actually UseDay 2, Stage 2
Fred WilmotDetecteamAll Tokens Are Created Equal, Including the Attacker'sDay 1, Stage 2
Casey WilsonBusinessLoans.comWe don't need an LLM for ThatDay 3, Stage 2
Adrian WoodDropboxStealthBench: Can Autonomous Security Agents Do OPSEC Like An Experienced Operator?Day 1, Stage 1
Adrian WoodDropboxEvery Dog Has its 0-dayDay 2, Stage 1
Josh WoodruffMassiveScale.AIWhat 40 Enterprises Who Asked for Agent Governance Had, and the Control Plane That Came Out of ItDay 3, Stage 1
David YangRPI; MicrosoftMemory Is the New Attack Surface: Benchmarking Poisoning Through Agent MemoryDay 2, Stage 1
Yernat YestekovAnthropicClaude Can Capture the Flag. Can It Hold the Fort?Day 2, Stage 1
Sounil YuGiving AI ReligionDay 3, Stage 1
Felipe ZimmerleKonaSenseAgent Authorization Is Not a Vault ProblemDay 3, Stage 1

The table holds 106 distinct names across 110 rows. Three slots have no speaker and no real title: Day 2 Stage 1 at 13:30 ("TBD"), and Day 3 Stage 2 at 11:10 and 11:35 ("TBA"). Two more have a title and no speaker: "Stolen Thoughts: How Adversaries Steal Reasoning for Industrial-Scale Distillation" and "CISOs debrief: What we learned, what we need", both Day 2 Stage 1. Those five do not appear in the table because they have no names to sort.

Who to follow if you care about...

The A-to-Z order hides the themes. These six groups follow the concerns of this blog. We group by the abstract, not by the speaker's reputation, and each clause says what the abstract says it covers.

Prompt injection and context integrity

  • Rock Lambros (Zenity) and Fred Wilmot (Detecteam): the abstract uses the EchoLeak exploit to argue models do not separate trusted tokens from untrusted ones, and releases CxBOM.
  • Gabi Nakibly and Zvika Babo (Radware): a scan of 86 million GitHub items for hidden-text injection aimed at coding agents.
  • Viren Chaudhari and Rushikesh Chandak (Qulays): cross-site prompting against browsing agents, and a least-privilege defense called Tenacity.
  • Vince Ovando: a 6.1 million call injection arena, and a title that says the model is not a security control.
  • Saurabh Shintre and Akash Mukherjee (Realm Labs): detection from hidden states, with no extra LLM calls.
  • Bruce Schneier: integrity as the property AI-driven systems most need.

Background: prompt injection in multi-agent pipelines.

Agent sandboxing and containment

  • Elie Bursztein (Google DeepMind): Capsem, an open-source Rust hypervisor for hardened agent environments.
  • Daniel Cuthbert: the sandbox built for RAPTOR, and the security issues the team introduced themselves.
  • Ankit Agrawal (Webflow): sandboxing framed as containment, provenance and authority together.
  • Tamir Ishay Sharbat (Zenity) and Joao Donato: a detonation chamber for agent skills.
  • Jackson Reed: isolation weaknesses in a deployed frontier-lab product, with details pending coordinated disclosure.
  • Damian Finol (Felix Pago): gVisor sandboxing inside an identity-aware agent runtime.

Background: sandboxing AI agent tool calls.

Identity, authorization and approval

  • Oleksii Baranovskyi (Cracken): a harness that enforces policy, with a demo of a decision-only API against an inline proxy.
  • Felipe Zimmerle (KonaSense) and Rodrigo Branco (Anthropic): approvals that bind to the exact bytes signed, not to an agent-written summary.
  • Brooks McMillin (Dropbox): an MCP permission broker that asks for evidence of human presence.
  • Sahana Chennabasappa and Chris Puderbaugh (Meta): permission fatigue, and taint-tracking guardrails.
  • Sounil Yu: least agency as a complement to least privilege.

Background: why least privilege is harder with agents.

Autonomous offense and vulnerability discovery

  • Brendan Dolan-Gavitt (XBOW): two Chrome full-chain exploits, one mostly human, one built with AI agents.
  • Tobias Heldt (XOR): frontier agents against the company's own zero-days, with counts of exploits and accepted patches.
  • Taesoo Kim (Microsoft): from the AIxCC win to production vulnerability discovery.
  • Eyal Sela (Gambit Security): an autonomous criminal campaign using an open-weight model.
  • Fatih Bulut (Microsoft) and Anjali Mangal: a fully automated purple-team loop.
  • Bruce Dang and Anna Groza (Calif.io): LLM-driven audit of messaging-app attack surface.

Background: AI-discovered vulnerabilities.

Evaluation and benchmarks

  • Adrian Wood (Dropbox) and Ads Dawson (Dreadnode): StealthBench scores OPSEC as well as task success.
  • Leo Meyerovich (Graphistry): three years of IR and SOC evals, and an argument to own your evals.
  • Omer Nevo (Irregular): evaluation runs that find each other through shared infrastructure.
  • Tim Schulz (Starseer): same benchmark score, different internal processing.
  • Petr Simecek (AISLE): 25,000 trials on stochastic false negatives in LLM scanners.
  • Shahanas Najeeb (Salesforce): metrics for production security agents beyond accuracy.

Governance and policy

  • Josh Woodruff (MassiveScale.AI): governance as code, drawn from 40 enterprises.
  • Chenxi Wang (Rain Capital) and Jasmine Jaksic (NVIDIA): research across 28 organisations.
  • David Chismon (UK National Cyber Security Centre): a cyber ontology and what it shows about governance.
  • Kamile Lukosiute (OpenAI Foundation): defender opportunities, including an AI cybersecurity observatory.
  • Nicole Grinstead (Roblox): governing AI tool adoption without blanket refusal.
  • Kevin Donovan (CISA): AI in vulnerability management at CVE and KEV scale.

Background: human oversight in production.

The organisations on the unprompted stages

This table groups speakers by the employer the agenda lists. The last column is our reading, not a claim from the organisations. Spelling follows the agenda, which writes "AISLE" for one talk and "Aisle Inc" for another.

OrganisationSpeakersWhat the presence signals
MicrosoftTaesoo Kim, Giorgio Severi, Fatih Bulut, David Yang (also RPI)Offense automation, model backdoors and memory poisoning from one employer.
Google, Google Cloud, Google DeepMind, Wiz/GoogleElie Bursztein, Nick Galloway, Ruchi Shah, Dan Dye, Tal Waitzenberg, Erez HarushSandboxing, secure development and SOC agents. The agenda lists Wiz/Google, so we group them together.
MetaDavid Molnar, Sahana Chennabasappa, Chris PuderbaughTwo measured deployments: AI-fixed vulnerabilities and agent guardrails.
DropboxAdrian Wood, Brooks McMillinRed team and permission control from one company.
ZenityRock Lambros, Mike Takahashi, Tamir Ishay SharbatThree talks on context attacks, honeypot data and malicious skills.
KnosticGadi Evron, Daniel Geyshis, Tamir IsascharThe host's company also presents agent-artifact scanning.
AnthropicYernat Yestekov, Rodrigo BrancoA model lab speaking on defense and on approval design.
OpenAI and OpenAI FoundationTim de Waal, Kamile LukosiuteOne firmware-repair talk, one policy and resilience talk.
WizTal Waitzenberg, Erez HarushListed as Wiz/Google. One talk on testing a SOC agent for nondeterminism.
CISAKevin DonovanA government vulnerability programme describing its own AI adoption.
UK National Cyber Security CentreDavid ChismonGovernance work tied to the UK's CyberShield plan, per the abstract.
RadwareGabi Nakibly, Zvika BaboLarge-scale measurement of injection in the wild.
Realm LabsSaurabh Shintre, Akash MukherjeeDetection based on model internals.
QulaysViren Chaudhari, Rushikesh ChandakWeb-agent confinement.
CrackenOleksii Baranovskyi, Dario PasquiniPolicy enforcement and model fingerprinting.
Stripe, Salesforce, NVIDIA, Roblox, ModernaAmol Deshpande, Shahanas Najeeb, Jasmine Jaksic, Nicole Grinstead, Farzan KarimiEnterprise operators describing agents in production use.
Visa, Cigna, Twilio, Intuit, Oscar Health, RubrikAishwarya Athreya, Kavia Venkatesh, Gabe Bello, Guy Shtar, Sannan Iqbal, Shayaun NejadRegulated and large-scale firms on supply chain, review agents and remediation.
AISLE and Aisle IncPetr Simecek, Patrik Mada, Evelina GabasovaScanner reliability and Trojan model auditing. We assume one company; the agenda spells it two ways.
XBOW, XOR, RunSybil, Calif.ioBrendan Dolan-Gavitt, Tobias Heldt, Ari Herbert-Voss, Bruce Dang, Anna GrozaOffensive-security companies reporting on AI-driven exploitation.
Vectra AI, Starseer, Tolmo, Torq, IrregularKat Traxler, Tim Schulz, Matt Suiche, Noam Cohen, Omer NevoVendors and labs working on model behaviour, internals and evaluation.
OthersWebflow, Graphistry, Dreadnode, Detecteam, Root Evidence, Simibian.ai, Felix Pago, Gambit Security, and moreSmall and mid-size firms carry much of the programme.
UniversitiesColumbia University, University of Georgia, Harvard Kennedy School, University of Toronto, RPI, Georgia Institute of TechnologyCryptanalysis, decompilation, privacy and AI policy.
No affiliation listedCaleb Sima, Alec Eckmann, Daniel Cuthbert, Sergej Epp, Joao Donato, Vince Ovando, Anjali Mangal, John Cartwright, Roei Sherman, Vincenzo Ciancaglini, Rik Dolfing, Reef Ettedgui, Alvaro Inckot, Jason Keirstead, Markku-Juhani O. Saarinen, Jackson Reed, Sounil Yu, Guy Elad, Ela AvrahamiIndependent researchers, or a gap in the agenda. We cannot tell which, so we write the name alone.

The signals column is our interpretation of a published list. It says nothing about what any organisation will present beyond its abstract.

Who is missing

We have no ticketing or attendance data, so we cannot say who is attending, only who is speaking. Three slots are open ("TBD" on Day 2 Stage 1, "TBA" twice on Day 3 Stage 2), and two titled sessions list no speaker. The agenda may add names before October 27, and it may drop some. If you notice a gap that matters to you, check the official agenda again before you plan your days. We will update this page when the list changes.

Frequently Asked Questions

Who runs [un]prompted II?

The agenda names Gadi Evron, CEO of Knostic, as host and CFP Chair. He opens and closes all three days on Stage 1. The agenda as we read it does not say which legal entity organises the event. We are independent coverage and have no role in it.

How many speakers are on the [un]prompted II agenda?

As published on 2026-10-12, the agenda names 106 distinct people across 85 sessions on Stage 1 and Stage 2. The count excludes five slots with no speaker listed, and it will change if the organisers add or remove sessions.

Can I see the speaker list myself?

Yes. The official agenda is at https://unpromptedcon.org/agenda-10-2026/. Our table is a sorted copy of it, read on 2026-10-12. If the two differ, the official page is right.

Are the unprompted talks recorded?

The agenda we read describes a hybrid event, in person and online. It does not state a recording policy, so we make no claim. Check the official site for the current terms.

Which talks have no speaker listed yet?

Day 2 Stage 1 at 13:30 is marked TBD. Day 3 Stage 2 at 11:10 and 11:35 are marked TBA. Day 2 Stage 1 also shows 'Stolen Thoughts' and 'CISOs debrief' with no named speaker.