What we still need to verify : 3 points in this profile are not yet confirmed against vendor documentation.
- Current language and framework support matrix: confirm against vendor docs
- Vendor naming after the Synopsys software integrity divestiture: verify
- Integration list: verify current connectors
Treat these points as unconfirmed. They are open items in the catalog's verification queue, and this note stays until each is checked against the vendor's documentation.
What it does
Seeker instruments the application at runtime, attaching to the JVM, the CLR or the equivalent runtime for other supported stacks, and observes every request as it is processed. It tracks untrusted input from entry point to sink through the call stack, so a finding is not a pattern match but an observed path: this parameter, through these frames, into this query.
Two behaviors distinguish it. The first is active verification. When the agent observes a candidate vulnerability, it constructs and replays a request designed to demonstrate exploitation, and only then marks the issue as verified. That turns a long list of possible problems into a short list of confirmed ones and is the main reason teams adopt it. The second is sensitive data tracking. The agent follows values that look like personal or payment data through the application and reports where they are written to logs, stored without encryption, transmitted over weak channels or handled with outdated cryptographic primitives. That maps to privacy and compliance obligations more directly than a standard vulnerability list.
Where it fits
Seeker runs during testing, typically in a QA or integration environment, driven by whatever traffic already exists there: automated functional suites, Selenium runs, manual exploration or an external scanner. It is normally introduced into the container image or application startup by a platform team and then left in place, with findings streamed continuously rather than produced by a scheduled scan. The prerequisite is exercise. Seeker analyzes what runs, so investment in test coverage converts directly into security coverage.
Strengths
- Active verification produces a genuinely short confirmed list, which changes how developers respond to the tool.
- Sensitive data flow tracking answers questions about where personal data goes that no static or dynamic scanner can answer credibly.
- Continuous operation during normal testing means no separate scan window and no scan duration problem.
- Evidence includes the request, the stack and the data path, so reproduction is usually trivial.
Limitations
- Blind to unexercised code. Thin test suites produce thin results, and the gap is not visible in the report.
- Replaying verification requests mutates state, so it needs a test environment with disposable data, not a shared or production-like one.
- Agent overhead and startup instrumentation cost make it unsuitable for latency sensitive production deployment.
- The product has changed corporate ownership, which is worth factoring into a multi-year commitment.
Who it suits
Well matched to organizations with mature automated testing, regulated data handling requirements, and enough platform capability to standardize an agent across services. A poor choice for teams whose applications are barely covered by automated tests, for very small engineering groups, or for anyone looking for findings at commit time rather than at test time.
Used Seeker IAST? Recommend it under your own name and title.
Recommend this tool