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Kevin Mandia predicts that within two years, all cyberattacks will be AI-driven. The sheer speed of these threats makes human-in-the-loop defense obsolete. The only viable response is a fully autonomous, AI-powered defensive system to counter AI-born threats.
Investor Gilly Shwed predicts an imminent, dangerous gap where AI-driven threat actors operate at a speed and sophistication that human-led security teams cannot match. This transitional phase, before defensive AI can fully take over, poses an unprecedented risk to critical infrastructure.
Asymmetric Security operates on the assumption that AGI is inevitable. This 'AGI-pilled' worldview shapes their strategy to completely rethink cyber defense, preparing for a world with a virtually unlimited supply of intelligent labor, rather than just automating current tasks.
The cybersecurity landscape is now a direct competition between automated AI systems. Attackers use AI to scale personalized attacks, while defenders must deploy their own AI stacks that leverage internal data access to monitor, self-attack, and patch vulnerabilities in real-time.
The current cyber defense model is reactive, using triage for endless alerts. Asymmetric Security's AGI-premised strategy is to shift this paradigm to proactive, continuous digital forensics. AI agents provide the 'infinite intelligent labor' needed to conduct deep investigations constantly, not just after a breach is suspected.
The sophistication of attacks like the Axios NPM compromise necessitates a shift to AI-driven defense. Tools like Cognition's Devin Review are reportedly catching malware before public disclosure, indicating that organizations must adopt AI security tools to counter the rising threat of automated, AI-powered attacks.
AI tools drastically accelerate an attacker's ability to find weaknesses, breach systems, and steal data. The attack window has shrunk from days to as little as 23 minutes, making traditional, human-led response times obsolete and demanding automated, near-instantaneous defense.
The long-term trajectory for AI in cybersecurity might heavily favor defenders. If AI-powered vulnerability scanners become powerful enough to be integrated into coding environments, they could prevent insecure code from ever being deployed, creating a "defense-dominant" world.
The old security adage was to be better than your neighbor. AI attackers, however, will be numerous and automated, meaning companies can't just be slightly more secure than peers; they need robust defenses against a swarm of simultaneous threats.
Adversaries are using AI to create an "asymptotic attack pressure" with novel exploits moving at machine speed. Traditional human-speed defense is insufficient. The solution is an autonomous defensive system that mirrors the attackers, creating a corresponding counter-pressure to analyze threats and respond in real-time.
While AI models excel at identifying security vulnerabilities, the next major innovation lies in automatic remediation. The "holy grail" for cybersecurity startups is developing AI systems that can instantly patch and fix identified threats, moving beyond simple detection to proactive, zero-day defense.