Our AI strategy for preemptive security
Scanners flag patterns and create noise. Pentests can be hard to scale across your entire attack surface. You don’t have to choose between the two.
Savant Pathseeker is an agentic pentester for your external web apps and APIs. AI agents plan, probe, and prove real attack paths so you get evidence-based coverage across everything you want tested, at a cadence no human team could reach.
Most teams aren’t choosing between deep and broad coverage. They’re doing both and getting the worst of each. Cloud, SaaS, and API sprawl means most organizations have assets that have never been touched by a penetration test.
Defenders who rely on periodic testing are permanently behind.
There are four uncomfortable truths in the AI era.
Savant Pathseeker is built to address all four at once.
Define a scope and let orchestrated AI agents do the rest.
Savant Pathseeker delivers safer, evidence-based agentic pentesting across your attack surface, not just the assets that are critical. Findings come with reproducible proof of exploitability and audit-ready reporting that gives teams, regulators, and auditors the confidence to act.
Discover, chain, and validate attack paths in hours, not weeks
Scale coverage across all your external web apps and APIs without scaling headcount
Test pre-production on demand, so flaws are found and prioritized before release, not weeks later
Audit trails and a testing cadence that DORA, NIS2, and SEC actually expect
Autonomous baseline coverage lets your team and Bugcrowd’s researchers focus on complex logic flaws and high-value validation
Discovery, agentic testing, and human-led testing come together so findings are risk-ranked and chained by exploitability as one risk surface
There’s a less-discussed reason organizations need to rethink pen testing: most assets never get tested at all. This isn’t because security teams don’t want to test them. It’s because there aren’t enough humans, hours, or budget to do it. A handful of crown-jewel applications get intensive, if infrequent, manual attention. Everything else is left to vulnerability scanning, or nothing at all. The result is a security program that looks complete on paper but leaves most of the real attack surface unvalidated in practice.
With agentic pen testing, companies can continuously test all their assets around the clock, multiple times a year. As a result, organizations can have baseline assurance across the entire attack surface, not just the crown jewels, at a cost and speed that doesn't force a choice between depth and breadth. This allows organizations to shift from reactive to pre-emptive security, catching vulnerabilities before attackers can exploit them.
Where a vulnerability scanner tells you something might be wrong, agentic testing confirms whether it’s actually exploitable—at machine speed and a fraction of the cost of manual testing. It complements human testing by examining all assets for common issues, allowing human testers to apply their skills to more complex and high-stakes targets.
Agentic pen testing uses orchestrated AI agents to autonomously test internet-accessible web applications and APIs for common, exploitable vulnerabilities. Rather than simply flagging known issues, agentic testing actually attempts exploitation (reconnaissance, vulnerability mapping, exploitation, and reporting) and provides evidence of whether an attack succeeded. It's a fundamentally different category from scanning: a scanner tells you something might be wrong; agentic testing tells you whether it actually is.
There is a time and place for both.
Although agentic pen testing helpfully automates certain repetitive tasks, it’s not a complete replacement for human pen testers. Complex business logic flaws, novel exploit chains, zero-days, and post-exploitation attack paths still require human adversarial creativity and judgment to uncover, and regulators and auditors still expect the kind of nuanced, defensible reporting that comes from a skilled human tester reasoning through findings in context. Agentic testing covers the assets and time windows humans can't reach. The goal is to make sure human expertise is spent on the problems that actually need it.
The best way to understand the difference between scanning, agentic, and human pen testing is to think of them as answering different questions. Here’s how to think of the difference, using a comparison from healthcare:
The strongest preemptive security programs layer all three approaches rather than picking one:
None of these replaces the others. They each answer a different question, at a different depth, for a different part of the attack surface.
Savant Pathseeker is Bugcrowd’s new agentic pen testing offering. It operates autonomously to find common vulnerabilities in internet-accessible web applications and APIs along with evidence of exploitability at machine speed and scale. It’s purpose-built to complement and inform the human-led pentesting, bug bounty, and red team engagements already available on the same platform, handling continuous baseline testing so humans can focus on the complex, high-value logic flaws and novel attack chains that require their expertise.
There are a lot of agentic pen testing providers entering the market. Most of them only offer agentic options. Many of these vendors rely on commoditized capabilities. Bugcrowd is built on a platform ecosystem that pairs agent speed with human offensive validation to prioritize complex vulnerabilities in dynamic application based on actual weaponization risks.
Another way Bugcrowd is different from these providers is its ability to find the “unscannable.” Autonomous-only tools excel at coverage, but they can miss complex business logic, zero-days, and exploit chains in dynamic applications. Bugcrowd pairs AI with human adversarial creativity, which delivers more coverage and depth.
PTaaS and agentic pen testing are complementary, not competing. PTaaS is human-led testing delivered as an agile, SaaS-style service, and agentic testing can run on its own or alongside PTaaS. The strongest preemptive security programs use both: agentic pen testing for validated, evidence-backed coverage at scale, and human-led PTaaS to quickly spin up a team of researchers to triangulate data points and go deeper into more complex, high-stakes assets.
Unlike “raw” frontier model labs, Bugcrowd provides operational infrastructure to manage scope, safety controls, dependencies, lifecycle/workflows, transparency, reporting, and other enterprise features out of the box for testing dynamic apps.
Frontier models deliver narrow outcomes. Bugcrowd has a platform ecosystem behind it: Bugcrowd pairs agentic speed/scale with human offensive validation (PTaaS, bug bounty/VDP, RTaaS) to prioritize complex vulnerabilities in dynamic applications based on actual weaponization risks. The result is a comprehensive offensive security testing suite on one platform and under a single pane of glass (one vendor for asset discovery, vulnerability scanning, AI pentest, human pentest, redteam, bug bounty/VDP).
Savant Pathseeker includes proprietary features like autonomous API fuzzing, asset inventory integration, and integration with vulnerability management tools.
Another negative of building this yourself is cost predictability. Most customers radically underestimate the unpredictable costs of using frontier models directly.