AI's Rise Could End Government Hacking Access

Introduction: The New Security Landscape

Earlier this month, cryptography professor Matthew Green sparked a heated debate within the cybersecurity community by suggesting that artificial intelligence might soon make it impossible for governments to legally hack into criminal devices. In his blog post, Green warned that AI is poised to create a future where software becomes so secure that law enforcement and intelligence agencies lose access to the vulnerabilities they need to surveil targets. This isn't just theoretical — it's an issue that could redefine national security strategies and privacy rights in the digital age.

What Is the "Going Dark" Concept?

The idea of “going dark” gained traction in 2014 when then-FBI Director James Comey warned about encryption technologies hampering law enforcement's ability to access data on devices. At that time, apps like Signal, WhatsApp, and Apple's iMessage introduced end-to-end encryption, making traditional wiretapping nearly obsolete. Tech giants began encrypting device data by default, further complicating authorities' efforts to break into iPhones protected by strong PIN codes or passphrases.

This shift was met with resistance from government agencies who argued that such protections made it harder to catch criminals and terrorists. However, rather than building backdoors — which would have compromised security for everyone — governments opted instead to invest in sophisticated hacking tools and spyware that could bypass these defenses.

AI: The Game-Changer

Green's concern is grounded in a growing body of evidence suggesting that AI-powered systems are rapidly becoming better at identifying and exploiting software flaws. As reported by Google, LLMs are now fixing more vulnerabilities in software than ever before, thanks to AI assistance. This efficiency is pushing companies to patch bugs at a rate previously unimaginable.

“I'm concerned that AI is going to make software much too secure,” Green wrote. “Law enforcement have long claimed that encryption made it difficult to catch criminals and terrorists… but now, we're seeing AI disrupt this fragile truce.”

This technological evolution presents a potential paradox: While better security benefits the general public, it also removes the legal tools that governments rely on for surveillance. As Green suggests, this could force policymakers back toward solutions that introduce intentional weaknesses into systems — essentially creating backdoors.

Expert Opinions: Divergent Views

We spoke with several cybersecurity experts to get a fuller picture of how AI might reshape the hacking landscape:

• Luna Tong, a researcher who has worked at prominent bug-finding firms, agreed with Green's analysis. She believes that while there's currently a "gold rush of bugs," these will become increasingly scarce over time.
• Anonymous Security Researcher, who has spent over a decade in offensive cybersecurity, fears AI will make human researchers obsolete. The defender advantage could grow to the point where even the most skilled hackers struggle to find exploitable flaws.
• Paolo Stagno, CTO of Crowdfense, noted that while the current system of buying zero-day exploits is democratic, it may not survive if bugs become too hard to find.
• However, Hamid Kashfi, founder of offensive security firm DarkCell and AI cybersecurity startup Xbow, argues that for every AI-found bug reported, there are likely 20 others that go unreported. Complex vulnerabilities will remain valuable and exploitable.
• Eva Galperin, director of cybersecurity at the Electronic Frontier Foundation, believes that while AI is indeed helping find bugs more quickly, it also introduces new types of flaws — particularly through "vibe-code" development using AI tools — which may not be patched fast enough.
• Katie Moussouris, founder and CEO of Luta Security, noted that even the latest devices will have some vulnerabilities. However, she warns that if patching becomes too slow or inconsistent, pressure to add backdoors could intensify.

What Comes Next?

The conversation around AI and government hacking is far from over. As we move forward, two major themes are emerging:

1. Pressure for Backdoors: Some experts predict that governments will push harder for built-in backdoors if they lose access to zero-day exploits. These efforts could be particularly strong in authoritarian regimes, where surveillance is prioritized over privacy.
2. Increased Investment in Defensive Systems: As AI improves offensive capabilities, it's equally transforming defensive strategies. Companies are investing heavily in AI-assisted vulnerability detection, leading to more secure software overall.

At the heart of this conflict is a fundamental tension between two core values: public safety and individual privacy. The implications of Green's prediction extend beyond tech circles — affecting policy decisions, international relations, and consumer trust in digital services.

Looking Ahead

It's important to note that while AI may reduce the number of exploitable vulnerabilities, it doesn't eliminate them entirely. The race between offensive and defensive cybersecurity continues, with both sides advancing rapidly. What's clear is that we're entering an era where software security must be prioritized from the ground up — not as an afterthought but as a foundational element.

As governments grapple with these new realities, one thing remains certain: the future of cybersecurity will require unprecedented collaboration between industry, academia, and policy makers. The decisions made now about how AI shapes software development and law enforcement access will define digital freedoms for generations to come.