49 research domains across defense, governance, identity and cognition. Navigate the business landscape of the AI-agent era. Curated by humans, assisted by machines.
Curated pathways through the index, tailored to your mission-critical priorities.
AI threat landscape, vendor evaluation, board-ready insights
Agent architecture, runtime security, infrastructure decisions
Identity systems, human verification, UX of trust
Market sizing, startup landscape, opportunity mapping
Regulatory frameworks, standards, compliance requirements
Business opportunities, white spaces, go-to-market intelligence
We protect customer identities. Reach out to discuss enterprise licensing.
Person-centered protection layer across communication, web, voice, video, AI chats and agent interactions.
Detection of compromised, drifting or abused AI agents through tool usage, behavior patterns and execution traces.
Defense against jailbreaks, prompt injection, policy bypass, model abuse and unwanted model behavior.
Securing models, datasets, plugins, agent tools, dependencies, weights and integrations against manipulation and provenance risks.
Central control and policy layer for agents with roles, boundaries, approvals, logging and escalation.
Permission, delegation and access systems for agents acting on behalf of humans or organizations.
Marketplace and brokerage layers through which agents find tasks, services, data, counterparties and prices.
Insurance and risk models for damages, wrong decisions, data loss and liability caused by autonomous agents.
Auditable accountability for agent actions, including execution traces, decision logs, attribution and explainability.
Technical and social systems proving that an interaction, identity or action originates from a human.
Digital spaces, communities and transaction systems that only allow verified humans.
Digital credentials of personhood that must be portable, revocable, privacy-preserving and interoperable.
Long-term secure identity and signature systems against future quantum attacks.
Non-transferable identity and belonging markers for reputation, roles, membership and ethical self-binding.
Registration and trust systems for AI agents, models and synthetic entities.
AI systems that continue personal biographies, knowledge, values and voices after death or handover.
Infrastructure making reputation traceable across platforms, human identities, agents and organizations.
Systems checking whether content, identities, events and claims are real, synthetic, manipulated or unclear.
Institutional, technical and social infrastructure for evaluating and tracing truth claims.
Court-ready analysis, evidence preservation and attribution of synthetic or manipulated media.
Standards and technical signatures that make origin, edits and ownership of digital content traceable.
Autonomous or semi-autonomous defense agents for detection, analysis, containment and response.
SOC automation through agents that triage alerts, collect evidence, trigger playbooks and support incident response.
Services and platforms for systematic red-teaming of AI apps, agents, models and workflows.
Simulation environments where AI agents test attack chains, social engineering, exfiltration and defense scenarios.
Defense against manipulation, persuasion attacks, attention capture, cognitive overload and algorithmic steering.
Training systems that make humans more resilient against manipulation, deepfakes, scam patterns and AI persuasion.
Measurement system for persuasive, manipulative, emotional or coercive patterns in AI-assisted communication.
Standards, interfaces and protection mechanisms that treat human attention as a protected resource.
Agents that search, compare and purchase products, services, offers and contracts on behalf of humans or companies.
AI agents for acquisition, advice, offer creation, negotiation, follow-up and customer success.
Transaction spaces where agents directly trade, negotiate, buy data or book services with other agents.
Rules, audits and evaluation logic for AI-assisted procurement, vendor selection and automated contract preparation.
Security of brain-computer interfaces, neural data streams, implants, wearables and neural signal processing.
Technologies extending human memory, perception, analysis and decision-making capacity.
Ownership, consent, deletion, use and protection of brain and cognitive signal data.
Consent, boundary and security logic for direct or indirect neurotechnological interfaces.
Protection systems against unwanted AI training, profiling, data harvesting and inference-based re-identification.
Deception, honeypot, decoy and data-obfuscation systems against AI-based attackers and scrapers.
Granular consent and usage logic for AI training, data use, agent access and personalized models.
Personal or organizational data vaults through which people control, license and release data.
Services where human presence, responsibility, empathy or craft is an explicit part of the value.
Physical or digital spaces where AI use is excluded, restricted or made visible.
Certification and labeling of human labor, creativity, craftsmanship and authorship.
Protection of children and families against manipulative, addictive or identity-distorting AI systems.
Operating-system-like platforms for agents, workflows, tool use, memory, policies and execution.
Infrastructure for running, scaling, isolating, monitoring and cost-controlling autonomous agents.
Standards, protocols and interfaces through which agents communicate, delegate and transact across platforms.
Verifiable, tamper-resistant execution layer with immutable history, boundary enforcement and audit logic.
Structured intelligence for decision-makers navigating the convergence of AI security, autonomous agents, and human sovereignty.
Business opportunities evaluated with De Bono Six Hats and Business Model Canvas.
View opportunities →“The skeptic does not mean him who doubts, but him who investigates or researches — as opposed to him who asserts and thinks that he has found.”Miguel de Unamuno · The Tragic Sense of Life