Agentic application security vs. traditional AppSec
Traditional tools surface signals. Agentic AppSec investigates real exposure, helps prepare fixes, and verifies closure after deployment.
From potential issues to completed security work
Traditional AppSec tools detect potential issues and help teams decide what deserves attention. The next question is operational: who will establish whether the issue is exploitable, prepare the change, and check the result?
Enclave agents investigate reachability, identity, exposure, attacker prerequisites, and exploitability across connected code, cloud, and live applications. They carry confirmed findings into remediation and test the outcome after deployment, with engineers approving changes.
Existing scanners remain valuable inputs. Enclave takes in their findings alongside repository and cloud context. The comparison is not tools versus agents: it is signals handed to a team versus agents doing the investigation and follow-through with that team.
Compare the work each approach supports
These are category-level differences, not vendor ratings. Capabilities vary by tool and configuration. A strong program can combine these approaches rather than choose only one.
| Dimension | SAST | DAST | ASPM / vulnerability management | Generic AI code review | Enclave |
|---|---|---|---|---|---|
| Code and pull-request context | Direct: analyzes source and can run on pull requests | Partial: observes behavior, not usually the source diff | Aggregated: links findings to repositories and owners | Direct: reads the diff and available surrounding code | Connected: reviews changes with code and dependency context |
| Runtime and live-application testing | Limited: static analysis does not execute the live app | Direct: probes a running application | Aggregated: consumes runtime and testing signals | Limited: reviewing code is not live testing | Active: agents attempt attack paths as real users |
| Cloud and infrastructure context | Partial: can inspect infrastructure-as-code | Partial: sees externally observable exposure | Aggregated: correlates cloud and application findings | Partial: can review infrastructure changes in a diff | Connected: investigates cloud configuration with code and runtime |
| Reachability analysis | Varies: data-flow analysis can trace code paths | Observed: requests reach tested endpoints | Often: reachability scoring helps prioritize exposure | Inferred: reasons from available code context | Tested: agents assess reachability in the live environment |
| Exploitability validation | Partial: static evidence may need runtime validation | Direct: some tests demonstrate exploitable behavior | Varies: correlates evidence from connected tools | Inferred: suggested issues may need reproduction | Validated: agents test attacker preconditions and exploit paths |
| Remediation preparation | Varies: guidance and sometimes suggested fixes | Varies: reproduction details and remediation guidance | Coordinated: routes work and tracks remediation | Suggested: edits or patches for a pull request | Prepared: batches pull requests or IaC changes by owner |
| Human approval controls | Workflow-based: repository and pipeline policies | Workflow-based: teams authorize tests and changes | Workflow-based: ownership and ticket approvals | Workflow-based: engineers review suggested edits | Required: every merge stays with engineers |
| Post-deploy verification | Rescan: checks source changes, not the live attack | Retest: can repeat tests against the deployed app | Tracked: closure depends on connected evidence | Limited: review normally ends with the code change | Replayed: agents rerun the original attack and log evidence |
Where each approach helps
Agentic AppSec vs SAST
SAST is useful when you want repeatable source analysis early in development, including on pull requests. It can trace data flow and identify risky patterns without waiting for a deployment. Enclave connects those signals to environment context and investigates whether the suspected path is reachable and exploitable.
Agentic AppSec vs DAST
DAST tests running applications and can provide direct evidence of vulnerable behavior. Its results depend on the surfaces and authenticated flows a test reaches. Enclave's agents map applications and attempt attack paths as real users, then preserve evidence and revisit the path after a fix.
Agentic application security vs ASPM
ASPM and vulnerability management help aggregate findings, correlate assets, assign owners, and prioritize work. Many tools include reachability scoring. That coordination is valuable. Enclave adds agents that investigate the exposure, prepare remediation, and verify the deployed result, turning scattered context into completed security work.
AI code review vs application security
AI code review helps engineers understand a change and can suggest fixes before merge. It is a useful checkpoint, but a pull request is not the whole environment. Enclave pairs review with live-application testing, cloud investigation, CVE research, and post-deploy verification.
Enclave compared with specific vendors
How Enclave works
An autonomous application security platform should be judged by the work it completes, not just the findings it produces. Enclave keeps investigation, change preparation, and retesting connected.
Connect the security context
A live security graph brings repository, cloud, scanner, and ownership context together so agents can reason across boundaries.
Investigate changes and threats
Agents examine code and running systems alongside cloud misconfiguration, secrets, dependencies, and emerging CVEs.
Establish which exposure matters
Reachability and exploitability testing separate confirmed risk from unverified signals. KEV status and business impact inform prioritization.
Prepare an owner-ready change
Agents group fixes into a remediation plan and prepare pull requests or infrastructure-as-code changes. Work can go to the coding agents your team already licenses; engineers retain merge approval.
Check the deployed result
Agents replay the attack that established the finding. The exploit path, change, and retest evidence form an audit trail; a path that still works requires more work.
Agentic AppSec comparison FAQ
Does agentic AppSec replace SAST and DAST?
No. SAST and DAST remain useful sources of code and running-application evidence. Enclave works alongside them and uses findings from existing scanners, then investigates the surrounding context, prepares fixes, and checks the deployed outcome.
Is agentic AppSec just AI code review?
No. AI code review focuses on a proposed code change and may suggest edits. Enclave also investigates cloud and live-application exposure, researches new CVEs, and follows confirmed findings through remediation and post-deploy retesting.
How does Enclave validate real exploitability?
Agents investigate the identity, exposure, and prerequisites an attacker would need, then test reachability and exploitability in the live environment. AI pentesting attempts attack paths as real users and records evidence for successful paths.
Can teams retain approval before changes are merged?
Yes. Agents prepare pull requests or infrastructure-as-code changes and route them to the responsible owner. Nothing merges without a human; engineers decide which changes ship.
What happens after remediation is deployed?
Agents re-run the original attack path against the deployed environment. If the attack succeeds, remediation continues. If it fails, the original path, exact change, and retest evidence are logged as an audit trail.