Defending against adversaries that attack with AI
Frontier Threat Defense is an operating model for a new class of attacker — one that runs as a fleet of autonomous AI agents, moves at machine speed, and exploits ordinary weaknesses no human adversary had the patience to chain together. These two interactive artifacts define the threat and the program that answers it.
Machine-speed adversaries
Attacks now run as fleets of autonomous agents that move faster than human response. Defense has to be designed for that clock.
Know the ground
Map your own estate — identity, secrets, agents, data blast-radius — before an adversary maps it for you.
Test and fix at speed
Find your own attack paths and close them faster than they can be used, with continuous agentic red-teaming.
Measure what matters
A tight set of executive metrics tied to business enablement — readiness treated as risk, with named owners on the clock.
The two artifacts
Both are fully interactive documents — every claim is cited, and the technical detail sits one click away in the margins.
The AI Attack Kill Chain
A stage-by-stage anatomy of a real frontier-AI agent intrusion — roughly 700 autonomous agents, no human operator, two and a half days. Every weakness they used was ordinary.
- Ten stages — and ten places to break the chain
- Six capabilities that cut across the whole attack
- The controls that held, and the ones that did not
- Every claim traced to a cited source
The Program Strategy
A full Frontier Threat Defense program: what belongs in scope, the controls and capabilities behind it, who owns each one, and the small set of metrics that prove it is working.
- A scope test that decides what is in — and what is not
- The strategy architecture, by domain
- An executive metric set — seven measures, not fifteen
- Ownership, readiness, and the board ask
These artifacts are generalized write-ups of client engagement work. All client-specific and confidential material has been removed; what remains is the reusable threat research and program framework.