Burp Suite alternatives expose the limits of tool-centric AppSec

At a glance

What this is: Aikido’s comparison says Burp Suite is still effective for manual web testing, but it leaves a gap for teams that need continuous DAST, deeper discovery, and AI-driven reasoning across the full application stack.

Why it matters: AppSec teams running fast release cycles need governance that covers runtime testing, hidden APIs, and root-cause tracing across code and cloud, not just a strong manual proxy workflow.

Context

Burp Suite remains a useful intercepting proxy and manual testing platform, but the article’s core point is that the control model around application security has changed faster than the tool itself. Teams shipping continuously now need coverage that extends beyond a single testing session and beyond the running application.

That shift creates an identity and governance angle wherever test tooling has to understand APIs, authenticated workflows, and access boundaries inside production-like environments. The problem is not that manual testing is obsolete, but that tool-centric AppSec no longer matches how modern delivery pipelines, runtime assets, and attack surfaces evolve.

Key questions

Q: How should teams balance DAST with other AppSec testing methods?

A: Use DAST to prove exploitability in running applications, then correlate it with code analysis, dependency scanning, and secrets detection to understand why the issue exists and how broadly it matters. The tools are complementary, but runtime validation should drive the final priority because it shows what can actually be reached.

Q: Why do shadow APIs and undocumented endpoints create AppSec blind spots?

A: Because tools that only test documented specs or manually chosen targets cannot see exposed services that were never formalised. Those blind spots matter when internal microservices or stale endpoints remain reachable in production. The risk is not just missed inventory, but missed attack paths that bypass the coverage assumptions of the testing programme.

Q: What are the signs that DAST coverage is too narrow for modern apps?

A: If findings only appear during scheduled scans, if authenticated flows are hard to test, or if the tool cannot follow release changes without manual tuning, coverage is probably too narrow. Another warning sign is when runtime findings cannot be traced back to the code or deployment layer that created them.

Q: What should teams do when runtime findings cannot be tied to root cause?

A: Treat the issue as a workflow gap, not just a scanner gap. Teams need a path from runtime detection back to the relevant code, dependency, container, or cloud control so remediation lands on the real source of risk. Without that correlation, repeated findings will continue to surface without being eliminated.

Technical breakdown

Why manual proxy testing reaches its limit

Burp Suite is built around an intercepting proxy, repeatable request manipulation, and a human tester steering the workflow. That model is powerful for finding logic flaws, parameter tampering, and auth bypasses when a skilled operator knows where to look. Its weakness is scale and continuity: the tool sees what the tester exposes during a session, not the whole changing application estate. As applications move into CI/CD and expose more services, a session-based method cannot by itself provide persistent coverage across every release, route, and role.

Practical implication: Treat manual proxy testing as one input to AppSec coverage, not the operating model for continuous assurance.

How CI/CD-native DAST changes the control surface

Dynamic application security testing sends payloads to a live app, analyzes the response, and reports likely vulnerabilities without a human in every loop. In CI/CD-native tooling, that scanning is designed to run automatically on pull requests, in containers, and across repeated releases. The architectural difference is governance timing: findings are generated where change happens, not after a quarterly engagement. That matters because authenticated flows, APIs, and new endpoints can be checked continuously rather than sampled occasionally. It also shifts the control conversation from tool usage to pipeline enforcement and coverage consistency.

Practical implication: Move DAST policy into the delivery pipeline so security checks fire on each material application change.

Why discovery and runtime context need to go beyond the target app

Modern application risk is rarely confined to the URL under test. Shadow APIs, internal microservices, dependencies, containers, and cloud posture can all shape whether a finding is exploitable or urgent. The article’s deeper argument is that runtime-only testing leaves the cause of the issue outside the scanner’s field of view. A mature workflow needs discovery from live traffic or source context, then correlation back to the application’s build and deployment layers. That gives practitioners a better path from symptom to root cause instead of a long manual stitch-up across multiple point tools.

Practical implication: Correlate runtime findings with build, dependency, container, and cloud data so remediation targets the actual root cause.

Threat narrative

Attacker objective: The objective is to find or exploit gaps in web application controls before defenders do, especially where business logic, authorization, or undiscovered endpoints create hidden exposure.

1. Entry begins when an application exposes authenticated workflows, APIs, or hidden endpoints that a scanner or tester can reach during normal interaction.
2. Credentialed access or session context then lets the attacker or tester move through roles, parameters, and state changes to probe business logic and authorization boundaries.
3. Impact occurs when the testing method misses shadow APIs, undocumented services, or root causes outside the runtime view, leaving exploitable issues unaddressed in production.

Breaches seen in the wild

• ASP.NET machine key attacks 2025: Developers copied ASP.NET machine keys from public sources; attackers used one to run Godzilla via ViewState. Microsoft found 3,000+ such keys.
• EmeraldWhale Git config credential theft: Tokens in exposed .git/config files let EMERALDWHALE clone private repositories and steal more than 15,000 cloud credentials.

Read and download The State of NHI & AI Agent Breach Report 2026, covering 200+ breaches impacting Non-Human Identities including AI Agents.

NHI Mgmt Group analysis

Tool-centric AppSec is no longer a complete governance model: the article shows that a single manual proxy can still be excellent for targeted testing, but it cannot govern continuously changing application estates. CI/CD has shifted the security problem from a session to a lifecycle. Practitioners should treat runtime testing as one control among several, not the centre of the programme.

Discovery now matters as much as detection: undocumented APIs, internal services, and shadow endpoints are not a side issue, they are where coverage fails first. If a control only sees documented or manually selected targets, it will systematically undercount exposure. The practical conclusion is that application security needs live discovery and source-aware context, not just scan execution.

Application security is becoming a correlation problem: the most useful finding is not merely that a runtime issue exists, but why it exists in code, dependencies, containers, or cloud configuration. That shifts AppSec toward root-cause governance across the delivery chain. Teams should expect their control stack to explain impact, not just list findings.

Continuous testing is now the baseline, not the premium tier: the article reflects a market where CI/CD-native DAST and AI-assisted reasoning are becoming the default expectation for modern teams. Manual tools remain relevant for depth, but not for completeness. Security programmes should re-evaluate whether their current workflow actually matches release velocity.

Coverage gaps are the real risk signal: a tool that needs a skilled operator to discover, test, and correlate every important path will always lag fast-moving development. The governance failure is not lack of scanning, but lack of complete visibility across the application surface. Practitioners should focus on control coverage, not tool familiarity.

What this signals

Continuous application security now depends on control coverage across the delivery chain, not just on a strong interactive testing tool. When scanners cannot follow release cadence or hidden surface area, the programme inherits blind spots that attackers do not need to respect.

Discovery is becoming a governance issue. If a platform cannot surface undocumented APIs, internal services, and authenticated paths from live behaviour, then the organisation is managing only the known part of the attack surface and assuming the rest away.

For practitioners

• Adopt CI/CD-triggered DAST for release gates Run automated application security checks on every meaningful build or pull request so testing follows delivery, not calendar cycles.
• Expand discovery beyond documented APIs Use live traffic and source-aware discovery to surface shadow APIs, internal services, and endpoints that specs and crawlers miss.
• Correlate runtime findings with build context Link scanner output to code, dependency, container, and cloud data so teams can fix the cause rather than only the symptom.
• Reserve manual proxy work for high-value testing Keep human-led testing for business logic, workflow abuse, and edge cases that still need judgment, but do not depend on it for baseline coverage.

Key takeaways

• Burp Suite still works well for manual testing, but its session-based model does not by itself cover continuously changing application estates.
• Modern AppSec programmes need automated discovery, CI/CD-native testing, and root-cause correlation across code and cloud layers.
• The practical shift is from tool proficiency to control coverage, where the question becomes whether the testing workflow matches the way software is actually delivered.

Key terms

• Dynamic Application Security Testing: Dynamic Application Security Testing evaluates a running application from the outside to identify weaknesses that only appear under real execution conditions. It is useful for validating authentication, session handling, and API behaviour, especially where configuration and integrations change how the system actually responds to attack.
• AI pentesting: AI pentesting is the use of autonomous or semi-autonomous systems to identify, validate, and report security weaknesses in software or infrastructure. In practice, the value depends on whether the system can discover real assets, produce reproducible evidence, and support repeatable operational workflows rather than just generating vulnerability labels.
• Shadow API: An API endpoint that exists in production but is not fully known, reviewed, or governed by the security programme. Shadow APIs often emerge through fast delivery, copy-paste development, or overlooked internal routes, and they create untracked exposure because they sit outside inventory, policy, and ownership processes.
• Runtime correlation: Runtime correlation is the practice of joining identity state changes with security activity while an investigation is still active. It lets teams evaluate whether access use matches expected behaviour, which is more useful than reviewing entitlement records after the fact.

Deepen your knowledge

The NHI Foundation Level course, the industry's only accredited NHI security programme, covers NHI governance, IAM, secrets management, and workload identity. It helps practitioners connect identity controls to the broader security programmes they operate.