Instead of trying to build an impenetrable fortress, early-stage founders should focus security efforts on mitigating the *volume* of potential damage. Simple tactics like rate-limiting all endpoints and creating easy-to-use IP/account banning tools can prevent catastrophic abuse from succeeding at scale.

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Unlike human attackers, AI can ingest a company's entire API surface to find and exploit combinations of access patterns that individual, siloed development teams would never notice. This makes it a powerful tool for discovering hidden security holes that arise from a lack of cross-team coordination.

Vercel is building infrastructure based on a threat model where developers cannot be trusted to handle security correctly. By extracting critical functions like authentication and data access from the application code, the platform can enforce security regardless of the quality or origin (human or AI) of the app's code.

Instead of managing individual external users, host organizations should provide partners with user-friendly tools to manage their own team's access. Partners have better "intimacy" regarding who has joined or left, allowing them to revoke access promptly and reduce risks like orphaned accounts.

An AI agent capable of operating across all SaaS platforms holds the keys to the entire company's data. If this "super agent" is hacked, every piece of data could be leaked. The solution is to merge the agent's permissions with the human user's permissions, creating a limited and secure operational scope.

While sophisticated AI attacks are emerging, the vast majority of breaches will continue to exploit poor security fundamentals. Companies that haven't mastered basics like rotating static credentials are far more vulnerable. Focusing on core identity hygiene is the best way to future-proof against any attack, AI-driven or not.

When OpenSea faced rampant NFT theft, the team shifted focus from mitigating symptoms on their platform (a 'whack-a-mole' problem) to addressing the root cause with external wallet providers. This ecosystem-level thinking led to a far more impactful, lasting solution.

The decision to invest in formal security measures like anti-phishing training should be based on team size and industry risk, not revenue milestones. The attack surface grows with each new employee, making a headcount of 15-20 a practical trigger point to implement such policies.

For a small team, solving customer problems reactively is a trap. It drains irreplaceable time and energy, often in service of non-ideal customers, which unintentionally creates more systemic issues. A proactive, ICP-driven approach is the only sustainable path when you lack the resources to constantly fight fires.

The modern security paradigm must shift from solely protecting the "front door." With billions of credentials already compromised, companies must operate as if identities are breached. The focus should be on maintaining session security over time, not just authenticating at the point of access.

Prioritize Damage Mitigation Over Prevention in Early-Stage App Security | RiffOn