May 2026 Summaries

The narrative in cybersecurity suggesting that "AI slop" is the biggest emerging threat is misleading, as the real issue lies in the unstable foundations on which critical systems are built. While AI does elevate the speed and efficiency of cyber threats, it primarily exposes pre-existing vulnerabilities, such as unpatched systems and weak identity controls, that have been neglected for years. The Secure by Design initiative aims to shift the burden of security from end users to technology developers, but its execution remains insufficient as many organizations prioritize compliance over actual resilience. The rise of AI-assisted offensive security emphasizes the need for continuous, adaptive defenses and the involvement of the global hacker community to creatively identify and address vulnerabilities. Public sector organizations must adopt a proactive, adversarial approach to security, treating it as an ongoing process rather than an occasional event, and effectively utilizing external security talent to manage risks at the speed demanded by current threats.

As AI begins to tackle central problems in vulnerability discovery, the focus of security research is shifting from finding individual bugs to addressing broader, more systemic issues. The current landscape, reminiscent of the historical shifts in physics post-Newton and Einstein, requires researchers to identify emerging problems and adapt accordingly. Richard Hamming's insights are instrumental in guiding this transformation, emphasizing the importance of focusing on problems that matter and have plausible solutions. AI is automating many aspects of bug discovery, necessitating a reevaluation of what constitutes valuable research. This shift involves moving away from singular bug findings toward developing frameworks and systems that enhance understanding and security practices. AI's role as a research assistant provides new opportunities but also demands a deeper inquiry into its limitations and the boundaries of its capabilities. The evolving nature of security research underscores the need for human expertise in setting new standards, curating evidence, and ensuring that AI-driven solutions are robust and meaningful.

A Vulnerability Disclosure Program (VDP) is most effective when supported by a structured process that includes intake, triage, and integration into existing workflows, preventing it from becoming mere noise rather than adding security value. Bugcrowd's VDP platform exemplifies this by offering a dedicated submission channel for hackers, expert triage to filter out redundant or low-quality reports, and seamless integrations with tools like Jira and Slack, ensuring that findings are swiftly addressed within current developer workflows. The platform's structured intake process replaces the ambiguity of ad-hoc submissions, providing clarity for both hackers and security teams. Bugcrowd's triage team validates each submission, reducing remediation time and improving security outcomes, while also motivating hackers to provide more valuable reports. Additionally, Bugcrowd helps organizations evolve their VDPs into more comprehensive Managed Bug Bounty programs by collaborating closely with customers to refine and expand their security strategies. This structured approach ensures that security teams receive actionable insights, fostering a reliable VDP that enhances overall security posture.

AI has significantly impacted offensive security by enhancing the capabilities of tools like large language models (LLMs) to write code, find bugs, and test systems, ultimately accelerating security work. However, businesses still require operational context and judgment to translate vulnerability reports into actionable business risk assessments. Bugcrowd plays a crucial role in adapting to these changes by providing responsible disclosure at scale and independent testing to ensure a credible outside view, which is essential as AI reshapes the landscape. The company manages operational tasks such as triage, researcher communication, and severity calibration, ensuring that security findings are turned into validated, prioritized actions. While AI enables faster vulnerability discovery, Bugcrowd emphasizes the need for human expertise to bring creativity, context, and accountability to security processes, helping customers transition from reactive to preemptive security strategies. The integration of AI and human expertise ensures that security remains a robust system that can withstand scrutiny from various stakeholders, reinforcing trust and credibility in the evolving landscape of offensive security.

ExploitBench, introduced by security researchers Seunghyun Lee and Bugcrowd, is the first benchmark designed to evaluate how effectively AI models can progress from identifying vulnerabilities to achieving full exploitation control. It addresses the need for a nuanced understanding of AI capabilities in cybersecurity, beyond the simple pass/fail assessments of existing benchmarks. Focusing on the V8 JavaScript/WebAssembly interpreter, ExploitBench categorizes AI model performance into capability tiers, ranging from crash discovery to full code execution. The benchmark reveals that private AI models like Mythos have surpassed human experts in certain vulnerability exploits, while public models, such as GPT-5.5, have achieved significant strides, including bypassing sandbox defenses and executing code in some cases. Bugcrowd plays a key role by developing reinforcement learning environments to enhance AI models' security skills, providing a comprehensive curriculum that spans detection, exploitation, hijacking, patching, and auditing vulnerabilities, all aimed at advancing AI's potential in cybersecurity.

Bugcrowd has implemented four significant changes to its platform to enhance the experience for both customers and hackers by addressing the challenges posed by "sloptimism," a trend of high-volume, low-quality submissions often assisted by AI. These changes include banning accounts engaged in submission farming or submitting numerous invalid reports, requiring mandatory identity verification for participation in Managed Bug Bounty (MBB) programs, throttling submissions from low-performance accounts, and enforcing CAPTCHA validation for all submissions. The goal is to ensure each submission is accountable to an identifiable individual, thereby improving the quality and credibility of the submissions while maintaining access for new hackers through less restrictive programs. These efforts aim to balance accountability with accessibility, focusing on high-impact research and preserving the platform's trust and efficiency. Bugcrowd plans to monitor these changes' impact and adjust its approach based on community feedback.

The Trump administration's Cyber Strategy for America addresses the widening cybersecurity gap in the U.S. government by outlining six pillars focused on modernizing and strengthening security measures, emphasizing preemptive defense and AI adoption. Despite the ambitious strategy, execution faces significant challenges, including outdated legacy systems, fragmented data environments, regulatory obstacles, and a shortage of skilled talent. As AI tools are increasingly adopted, they introduce new attack surfaces that require specialized expertise and resources to secure. Federal agencies struggle with slow modernization timelines, reliance on outdated systems, and fragmented data, which hinder effective AI deployment and expose them to security vulnerabilities. Regulatory friction and talent gaps further complicate rapid AI deployment, leaving agencies vulnerable to exploitation by fast-moving threat actors. The Cyber Strategy for America aims to secure the public sector, with companies like Bugcrowd offering solutions to help federal agencies proactively identify and remediate critical vulnerabilities.

The blog discusses five significant cybersecurity challenges faced by SaaS and digital-first platforms, including large attack surfaces, lengthy compliance requirements, balancing innovation with security, limited access to skilled professionals, and heightened risk of data exposure. These challenges arise from complex technology stacks, regulatory demands, and the need to innovate while maintaining security, compounded by a global shortage of cybersecurity talent. SaaS companies are particularly vulnerable due to their role in the digital economy, where disruptions can have widespread effects. To address these challenges, the blog highlights the benefits of crowdsourced security, which provides elastic testing capacity, continuous coverage, and specialized expertise to identify vulnerabilities. Bugcrowd, a proponent of this approach, offers resources such as the Ultimate Guide to Offensive Security Testing for SaaS Companies to assist organizations in maintaining robust security while fostering innovation.

Bugcrowd's Managed Bug Bounty solution, as highlighted in customer reviews from Bugcrowd's G2 page, offers continuous security coverage that adapts to rapidly changing attack surfaces, addressing gaps that traditional testing methods often miss. Customers emphasize the importance of Bugcrowd's triage team, which effectively filters and validates vulnerability reports, distinguishing the platform from competitors like HackerOne, Intigriti, and YesWeHack. The solution integrates seamlessly into existing security frameworks, enhancing rather than replacing internal teams, and scales according to an organization's security maturity. Bugcrowd's platform connects organizations with a global community of hackers who provide fresh perspectives, uncovering novel vulnerabilities that extend beyond the capabilities of internal and external testing. This integration into everyday tools like JIRA and Slack facilitates timely remediation, while Bugcrowd's guidance and support help organizations optimize their bug bounty programs over time, ensuring security needs are met as they evolve.

Bugcrowd's conversation with Schibsted, a Nordic media company, highlighted the benefits and experiences of launching a bug bounty program with Bugcrowd. Schibsted's Application Security Engineer, Gabriel Berrios, discussed the decision to adopt a bug bounty program to enhance their security posture by leveraging the expertise of security researchers who can identify deeper vulnerabilities beyond what their current tools detect. The program is structured with varying scopes and rewards based on the severity of identified vulnerabilities, emphasizing the importance of building strong relationships with researchers through good communication, bonuses, and appreciation for their efforts. Schibsted shared impactful findings from their program, including valuable DNS insights that led to significant domain cleanups. They choose Bugcrowd over other providers to access a broader pool of researchers, benefiting from new types of submissions and effective management by Bugcrowd's triage team, who excel at filtering and assessing the severity of findings.

Bugcrowd's blog invites skilled red teamers to join its elite group, Crowdforce, emphasizing a unique, crowdsourced approach known as Red Team as a Service (RTaaS). This initiative aims to enhance cybersecurity by simulating real-world attacks, allowing security teams to proactively address vulnerabilities. The application process for Crowdforce involves a rigorous evaluation, consisting of technical tiering and an in-depth simulation to assess candidates' abilities in executing various attack tactics. Successful applicants are categorized into three roles—Specialists, Operators, and Managers—based on their skills and experience. The blog also provides guidance on skill enhancement through resources like LevelUp blogs and Hack The Box labs, encouraging applicants to continuously learn and adapt. Bugcrowd seeks individuals with expertise in areas such as OPSEC, social engineering, and exploit development, offering the freedom to work independently and collaborate with a diverse client base.