Our AI strategy for preemptive security
Government agencies have historically relied on periodic security assessments, such as an Authority to Operate (ATO) review, to ensure the ongoing safety of their systems. However, these test cycles are measured in months and years, but the average cyberattack takes less than an hour from initial access to data exfiltration.
A major driver of this trend is AI. Cybercriminals are increasingly using AI to automate reconnaissance and exploit development, reducing the time required to execute a cyberattack and the development of new threats. For instance, a rogue OpenAI agent recently hacked the Australian government’s website, catching them completely by surprise. At the same time, many agencies are turning to AI-assisted coding tools to accelerate software development, but these tools lack the right context and best practices, resulting in buggy, vulnerability-ridden code.
Point-in-time assessments can’t and won’t stop automated adversaries. Staying ahead requires continuous validation, pairing machine-speed AI reconnaissance with the critical intuition of human operators. In this blog post, we’ll show how continuous pen testing that combines human expertise with agentic capabilities can help agencies achieve ongoing security validation at scale without sacrificing quality.
Historically, agencies were limited in how frequently they could run pen tests because there was a finite number of skilled professionals available to conduct them. As a result, only a handful of crown-jewel assets receive intense but infrequent testing, leaving the rest untouched.
With AI, the equation has changed. AI tools can also run continuously, automatically identifying and triaging vulnerabilities across thousands of systems at machine speed. It excels at pattern matching, making it effective at identifying known threats, such as SQL injection and other OWASP Top 10 vulnerabilities. With AI agents, agencies can move beyond vulnerability detection to actively validate whether identified weaknesses are exploitable. AI agents can test exploits for identified vulnerabilities, allowing agencies to focus their limited resources on real vulnerabilities. Once they patch the issue, they can also use agents to retest the vulnerability to ensure that the security gap is closed.
However, this doesn’t mean AI is enough to keep agency systems secure. As pattern matchers, they lack the thinking and creativity required to catch emerging threats. Some of the areas where AI falls short include:
To run continuous pen tests without sacrificing quality, agencies need to combine AI pen testing with a skilled human operator. Humans can use their expertise to direct AI tools to the most promising attack paths, while AI can handle the repetitive, time-consuming work of testing and validating those paths. This combination allows agencies to perform security assessments more frequently across all their systems, rather than subjecting only a few systems to intensive, infrequent testing. Here are some other benefits of this approach:
Bugcrowd can help you shift towards this continuous pen testing model. We have a large pool of skilled, vetted human pen testers across a wide range of technologies (e.g., web applications, mobile, networks, APIs, LLMs) that can help you uncover complex vulnerabilities and exploit chains. Bugcrowd’s Savant Pathseeker complements their efforts by using agentic AI to identify vulnerabilities and prove exploitability. Here are other reasons to choose Bugcrowd:
Achieving effective, continuous pen testing at scale requires human-led, AI-powered pen testing. With Bugcrowd’s Savant Pathseeker and pool of vetted, skilled human testers, you can achieve the best of both worlds: the scale and speed of AI with the creativity and ingenuity of human researchers. Ready to get started? Request early access to Savant Pathseeker for pen testing scaled to meet your needs.