AGI-Pilled Cyber Defense: Automating Digital Forensics w/ Asymmetric Security Founder Alexis Carlier

Betting on the AGI assumption

Carlier structures Asymmetric Security around the premise that AGI constitutes near-infinite intelligent labor, making costly strategic bets that maximize value only if this assumption holds.

Remote worker threshold for AGI

True AGI requires systems capable of fully substituting for human remote workers across long-horizon tasks, a standard not yet met due to current capabilities remaining at a 'jagged frontier.'

Output over GDP metrics

Economic impact should track actual service output rather than GDP statistics, since AI substitution may destroy monetary value while increasing volume through price reduction.

Volume versus sophistication spectrum

Roughly 80% of attacks are low-sophistication 'spray and prey' financial crimes by amateurs, contrasting with lower-volume but high-stakes nation-state operations conducting patient IP theft.

North Korean remote worker infiltration

North Korean state-backed operatives infiltrate Western tech companies as remote workers to collect salaries and steal IP, directly funding the regime through payroll fraud and corporate access.

Ransomware's coordinated middle tier

Moderately sophisticated criminal organizations occupy the space between amateurs and nation states, conducting coordinated ransomware attacks against critical infrastructure like hospital systems.

Shift to continuous investigation

Asymmetric moves cybersecurity from reactive emergency triage to proactive continuous digital forensics, utilizing AI agents for deep investigative work previously requiring scarce human experts.

Closing the jagged frontier gap

While off-the-shelf models achieve 90% accuracy on investigative tasks, Asymmetric employs a services-first model partnering with insurance companies to build proprietary datasets that close the final reliability gap.

Business email compromise focus

The company initially targets business email compromises to ensure consistent customer delivery while gathering specialized training data needed for broader autonomous investigative capabilities.

Defensive asymmetry in capabilities

Digital forensics represents a rare asymmetric domain where investigative expertise does not correlate with offensive hacking ability, allowing defensive AI to be accelerated without equally empowering attackers.

Intentionally shaping AI frontiers

Carlier advocates deliberately constructing specialized datasets and evaluation methods to differentially advance defensive capabilities before equivalent offensive applications can emerge.