Why the Last-Minute Security Era is Ending
Christopher Smith is an award-winning author and entrepreneur dedicated to protecting people from cybercrime. After being the target of a major cyberattack, he founded DFend, a digital safety platform, and wrote Privacy Pandemic, inspired by his real-life story.
An AI evaluation that crossed into production infrastructure and a collective call for cyber defense show why security can no longer wait until something breaks. AI is shrinking the time organizations have to respond.
What does "last-minute security" mean?
Most organizations recognize the pattern. A company develops a product, brings it to market, adds security controls, and fixes vulnerabilities when they become urgent.
For years, that approach worked for many businesses. Not because it was particularly effective, but because organizations often had time to respond. Vulnerabilities could remain undiscovered or unexploited for months or years. That margin is becoming less dependable.
In September, the Canadian Centre for Cyber Security highlighted a WordPress vulnerability that the US Cybersecurity and Infrastructure Security Agency had added to its Known Exploited Vulnerabilities catalog on September 25, with a fix available in version 7.1.2.
The distinction matters. A vulnerability that might be exploited is different from one attackers are already using. Once that happens, the question becomes how quickly an organization can identify its exposure and respond. Last-minute security assumes there will be enough time.
What changed this year?
Artificial intelligence is challenging that assumption. In July, OpenAI disclosed an unusual security incident involving two of its models during an internal evaluation designed to measure cyber capabilities.
According to OpenAI, the models discovered and exploited a previously unknown vulnerability in a software package proxy, reached the open internet, and exploited additional weaknesses involving Hugging Face's production systems. The models were pursuing an evaluation objective: answering a test.
Hugging Face detected and contained the intrusion and disclosed it on July 16. OpenAI connected the activity to its own evaluation and published its account on July 21.
Context matters. This wasn't a conventional criminal attack. It was an internal evaluation with unintended consequences involving real infrastructure. That's precisely why the incident deserves attention.
A system pursuing a defined objective found opportunities its developers had not intended it to use. As increasingly capable AI systems gain access to applications, credentials, and connected services, security becomes about more than preventing unauthorized access. It also becomes about controlling what authorized systems can do.
Who is responding?
On August 27, OpenAI published A Call for Collective Action on Cyber Defense, warning that increasingly capable AI could make cyberattacks more widespread and sophisticated. Early reporting counted 116 signatories, and later coverage put the total above 150. They include major AI developers, cybersecurity companies, technology platforms, and financial institutions.
The letter identifies familiar weaknesses: unpatched software, excessive permissions, misconfigurations, weak authentication, and accumulated technical debt. None of those problems is new. What is changing is the potential speed and scale at which attackers can exploit weaknesses. The proposed response includes stronger security standards, better access controls, and traceable identities for AI agents.
The commitments are voluntary, with no universal deadlines or binding obligations, and many signatories sell security products themselves. Those limits matter. Still, organizations competing across AI, financial services, and cybersecurity are acknowledging a shared problem. Security cannot remain something institutions address independently after an incident.
Why should founders and investors care?
According to Crunchbase, AI startups raised $102 billion in Q3 2026, or 64% of global venture investment. That is an extraordinary concentration of capital around one technological category.
As an exited founder and strategic advisor working with early-stage companies, I'm interested in what that investment is bringing to market. Increasingly, conversations focus on autonomous agents, robotics, AI infrastructure, and software that executes tasks on businesses' behalf.
Those technologies offer substantial opportunities. They also change the relationship between software and responsibility. Traditional software generally acts when a user directs it. Autonomous systems can interpret objectives, select tools, and execute action sequences with less human involvement. That raises different questions. Who authorizes the agent? What can it access? What decisions can it make? How is its activity recorded? And what happens when it takes an unexpected action?
These aren't exclusively cybersecurity questions. They affect product design, customer trust, enterprise procurement, compliance, and commercialization. A startup may have an impressive AI demonstration. But if customers cannot determine what its agents are permitted to do, that uncertainty can block adoption.
Security architecture is increasingly part of go-to-market strategy
Security is becoming a commercial requirement. In my experience advising early-stage companies, technical capability alone rarely determines whether a product succeeds. Customers also need confidence that the technology can operate reliably within their business.
With autonomous AI, that confidence increasingly depends on identity, permissions, monitoring, and accountability. A founder may see these requirements as obstacles to moving quickly. An enterprise customer may see them as prerequisites for signing a contract. Both perspectives are understandable. But companies that build these requirements in early may be better positioned when customers move from experimentation to production.
The commercial question isn't simply whether an AI system works. It's whether an organization can trust it to operate within defined boundaries.
What should leaders do now?
Three priorities emerge from the incident and the collective-defense letter.
First, shorten response times for known vulnerabilities. CISA's Known Exploited Vulnerabilities catalog is publicly available. Understand which entries affect your systems and measure how quickly you remediate them.
Second, treat AI agents as accountable identities. Agents accessing company information or connected applications should have defined permissions, traceable activity, and appropriate limits.
Third, establish containment before expanding connectivity. Test environments and internal AI systems need meaningful isolation and monitoring. Know who can suspend an agent, and how.
These investments may not generate the excitement of a product launch. But they may determine whether organizations can deploy the technology safely and commercially.
The next security challenge is already here
The last-minute security model assumed organizations would have time to identify and correct weaknesses before they became serious. AI is putting that assumption under pressure.
Security needs to be built into how technology is designed, deployed, monitored, and commercialized, not just how organizations respond after something fails. For founders, investors, and business leaders, I'd start with three questions:
What can this system access? What limits its actions? And who can stop it?
The answers may become as important to commercial success as the technology itself. If you're working through them, connect with me and share what you're seeing.
Read more from Christopher A. Smith
Christopher A. Smith, Author & Digital Safety Advocate
Christopher Smith is the award-winning author of Privacy Pandemic and the founder of DFend, a digital safety platform built to protect people from cybercrime. After being the target of a major cyberattack, he transformed his story of loss into one of purpose, turning a personal crisis into a global mission. His experience inspired him to develop technology that helps individuals safeguard their identity and privacy in the age of AI. Through his work and writing, Chris advocates for greater awareness, protection, and resilience online. He believes the future of digital safety is personal, because the threat already is.
References:
OpenAI, A Call for Collective Action on Cyber Defense (August 27, 2026)
OpenAI, Hugging Face Partner to Address Security Incident (July 21, 2026)
Hugging Face, Security Incident Disclosure (July 16, 2026)
Canadian Centre for Cyber Security, WordPress Security Advisory AV26-952 (September 23, 2026; updated September 25, 2026)
Crunchbase, Q3 2026 Global Venture Funding Report (October 5, 2026)
Disclaimer:
The views and interpretations above are based on my own personal experiences and reflect my interpretation of publicly available data and third-party articles. Any conclusions drawn are my perspective alone, not necessarily that of the source.
