AI Is Ending the Era of Hidden Vulnerabilities — Are Vendors Ready?

A Tidal Wave of Vulnerability Reports Overwhelms Software Vendors, Exposing Secure-by-Design Failures

In a dramatic shift in the cybersecurity landscape, the proliferation of artificial intelligence (AI) models has led to an unprecedented surge in bug reports, exposing secure-by-design failures and creating disclosure bottlenecks for software vendors. This tidal wave of vulnerability reports is overwhelming platforms that facilitate bug bounty programs, forcing companies to reevaluate their approach to security and remediation.

The AI-powered revolution has significantly accelerated the discovery process, making it easier and faster for researchers to identify vulnerabilities in software code. Large language models (LLMs) have automated large portions of the bug discovery pipeline, allowing researchers to focus on more complex issues. However, this increased velocity has created a bottleneck downstream, where organizations struggle to address and remediate discovered vulnerabilities.

Software vendors are caught off guard as they face an unprecedented number of reports. Bug bounty platforms like HackerOne and Bugcrowd have seen dramatic increases in the number of submissions, with some reports suggesting that the volume is doubling year over year. This has led companies to deploy AI-powered triage tools to automate parts of the bug bounty process, but experts warn that this may only exacerbate the problem.

The increased demand for vulnerability discovery and disclosure is putting pressure on software vendors to revisit their secure-by-design practices. Aaron Portnoy, chief product officer at Mindgard, notes that AI has made it impossible for companies to hide vulnerabilities. “Vulnerabilities are losing a place to hide,” he says. “Software vendors used to be able to get away with shipping buggy software with no real accountability, but now they can’t really hide anymore.”

The industry is also seeing a shift in the way bug bounty platforms operate. Some experts argue that these platforms should only be used for vulnerabilities that vendors missed during their internal testing and review process, rather than as a primary method of discovery. However, companies are struggling to adapt to this new reality, with many facing significant backlogs of critical vulnerabilities.

The increased demand for vulnerability disclosure is also creating challenges for researchers and bug bounty participants. Many well-meaning security researchers are finding it difficult to report vulnerabilities through ethical channels due to the sheer volume of submissions. This has led some organizations to implement gateways and restrictions on bug bounty programs, artificially slowing down the pace of vulnerability discovery.

Ultimately, this tidal wave of vulnerability reports serves as a wake-up call for software vendors to revisit their secure-by-design practices and prioritize remediation efforts. Casey Ellis, president and co-founder of Disclose.io, emphasizes that while making vulnerability discovery easier is essential, making vulnerability reporting easier is just as crucial. “We need to make it easier for security researchers to report vulnerabilities through ethical channels,” he says.

For readers, this means being aware of the changing landscape of bug bounty programs and secure-by-design practices. As AI continues to accelerate vulnerability discovery, software vendors must prioritize remediation efforts and ensure that their internal testing and review processes are robust and effective. By doing so, they can mitigate the risks associated with vulnerabilities and create a more secure environment for users.


Source: Dark Reading — 2026-09-04