The lab partners with practitioners and organizations on research questions of shared interest, under terms that preserve independence and open publication.
Field notes, research reports, and frameworks delivered when the work is ready. No cadence for cadence's sake.
The Frontier Labs is an independent research practice at the collision of frontier AI and enterprise security — publishing original research, threat analysis, and practical frameworks for the agentic era.
The Frontier Labs investigates the security questions opened by frontier AI: how agents should be identified, scoped, and governed; how AI accelerates both attack and defense; where identity infrastructure strains under machine-speed actors.
Findings are published as research notes, deep-dive reports, and open frameworks — written for the engineers and leaders who have to act on them, not just admire them. No vendor agenda. No hype cycle.
Every research track addresses a gap between what attackers already understand and what defenders have documented. All findings are published openly.
Original analysis of emerging attack patterns: AI-accelerated vulnerability discovery, agent hijacking and prompt-injection chains, supply chain compromises, and the identity-layer techniques attackers reach for first.
Practical governance models for AI agents — identity, least privilege, attribution, kill-switch design — distilled into frameworks teams can adopt without waiting for standards bodies to finish deliberating.
Research into where IAM, PAM, and federation infrastructure strains when the majority of identities are non-human and access decisions happen in milliseconds — before the architecture was designed for that load.
Clear-eyed evaluation of AI used for defense — what genuinely works in detection and response, what is marketing wrapped in capability claims, and how to measure the difference before you buy.
Short, frequent dispatches tracking the frontier as it moves — new techniques, notable incidents, and what they mean for defenders this quarter, not next decade. Signal without ceremony.
All research is published openly. The lab's value is measured by how much defenders can use, not how much is locked behind a paywall or buried in a vendor brief with a product pitch attached.
Rigor over cadence. Findings have to survive contact with practice before they reach practitioners.
Research questions are drawn from real incidents, practitioner pain, and the visible trajectory of frontier models — not from what makes a good conference talk.
Hypotheses are pressure-tested against real systems and realistic adversary behavior. Findings have to survive contact with practice before they get written up.
Results ship as reports, frameworks, and field notes — written in plain language with the technical depth practitioners need to actually act on them.
The lab collaborates with practitioners, vendors, and researchers to refine the work. The frontier moves too fast for any single lab to map alone.
Every piece of research ships openly — reports, frameworks, and field notes. Independence is the product. The lab's credibility depends on findings that aren't for sale.
Deep-dive reports carry full technical depth. Field notes are short and frequent. Frameworks are designed to be adopted without modification.
How prompt injection chains escalate from a single manipulated agent to lateral movement across identity boundaries — with detection indicators.
A practical governance model for scoping AI agent identities, declaring purpose boundaries, and building kill-switch controls that actually work.
What the authentication and access logs look like after an attacker uses LLM-assisted reconnaissance — and what to alert on.
Upcoming — stress test results from federation infrastructure under realistic agentic workloads. Subscribe for publication notice.
Lab outputs are built for immediate use — not to sit in a reading list. These are the most common ways practitioners apply the work.
Lab reports give CISOs and boards a grounded view of agentic AI risk — what is real now, what is coming, and what to fund — without vendor gloss or hype cycle distortion.
Teams deploying AI agents adopt the lab's frameworks for identity, scoping, and attribution as a starting blueprint — instead of inventing governance from scratch under production pressure.
Threat research translates directly into detection ideas: the identity-layer behaviors and agent anomalies worth alerting on before they show up in your environment — not after.
Building for the agentic era without a blueprint. The lab provides the threat intelligence and governance frameworks to design defensible systems from the start.
Who need signal on AI risk, not noise. Lab reports give executives a grounded, vendor-independent view of what is real now and what deserves budget today.
Tracking the AI-security frontier. The lab publishes with full technical depth — findings that contribute to the field, not just to a product pipeline.
Who want security thinking baked in early. Understanding the threat model before deployment is orders of magnitude cheaper than retrofitting controls after an incident.
Frontier AI is producing threats the industry hasn't named yet. The Frontier Labs studies them in the open — original research, honest analysis, and frameworks defenders can use today. Follow the work and stay ahead of the edge.