For Security Teams

Finding was the old job. Now it’s fixing before it ships.

In a post-Mythos world, a finding that becomes a ticket is already a liability — StackHawk fixes it during the coding session.
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Flowchart showing AI Coding Agent steps: Find (uncover risk), Fix (resolve findings), Verify (retest); results: in minutes, pre-commit, verified secure, under CI/CD pipeline label.

Proven at a national healthcare firm

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More apps under test.

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Backlog reduction.

Time to get there.

The threat model has changed

You can’t answer exponential finding with linear fixing.

Line graph showing monthly CVEs created from 2022 to 2026, with a rising trend. Key model releases from OpenAI, Anthropic, Google, and others are marked with colored dots along the timeline.

Low severity isn’t low risk

Mythos-class models chain low-severity findings into serious attack paths — severity alone can’t drive prioritization anymore.

A diagram shows four security issues: verbose error messages (low), user enumeration (low), missing rate limiting (medium), and weak session controls (medium), all leading to a critical exploit path..

AI catches what humans miss

Research shows multi-step attack chains that traditional reviews miss. StackHawk tests in-session and catches them before they ship.
Diagram with branching lines connecting to a box labeled StackHawk inside the agent, symbolizing interconnected processes or systems on a dark background.

Backlog is risk, not overhead

An unmanaged backlog is risk sitting on the books. The shift: fix everything at commit, not by severity.
A flowchart shows StackHawk inside the agent leading to CLEAN CODE and then to CI/CD PIPELINE on a dark background.

The board and execs need a plan

The testing doesn’t belong to your team anymore. That’s the point.

The exposure is growing

Mythos-class models are surfacing tens of thousands of vulnerabilities companies didn’t know they had. In regulated industries, that means diverting real resources to fix them, fast.

Fix more without hiring more

Most AppSec programs can find. Few can fix without a plan becoming a headcount problem. StackHawk is that plan: it fixes vulnerabilities inside the agent as code ships, so the backlog doesn’t outrun the team.

How it works inside the agent session

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Agent completes a feature

Wingman works inside Claude Code, Cursor, or Copilot—no new tool or context switch.

Wingman boots and tests

Wingman auto-configures, starts the app locally, and tests it with real HTTP requests.

Finds, fixes, and verifies

The agent fixes vulnerabilities and verifies them before code leaves the coding session.

A clean signal, verified

CI gets a clean signal; security gets an attestation for boards, audits, and renewals.

Real results from a single app

Vulnerabilities found, fixed & verified.

Minutes to closed loop.

Token spend.

What Each Side Actually Gets

Security leadership

Velocity

Security stops being the reason a release slips.

Risk exposure

The backlog shrinks instead of growing.

Proof and reporting

An evidence trail that survives being asked twice.

Cost and headcount

Coverage scales with AI-generated code—without growing headcount.

Engineering leadership

Velocity

Ship on schedule with no new gate or context switch.

Risk exposure

Vulnerabilities are fixed in the same session they’re introduced.

Proof and reporting

A clean CI signal your team can trust.

Cost and headcount

No new hires to keep pace with your agents.

StackHawk Scale

Built for the Security Team

Attack surface discovery

Know which apps, APIs, and endpoints exist before rollout — your rollout order becomes a risk decision, not a guess.

Coverage observability

See what’s tested, how often, and what’s fixed, by team — an exportable, board-ready view of the whole program.

Continuous attestation

Every agent-loop commit records testing and issues closed before merge—built-in SOC 2 evidence and a FedRAMP paper trail.

Make Your Program Mythos-Ready.

This works better with your engineering counterpart in the room — security sets the program, developers run the loop. Bring both to a call.
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Let us help you figure out if StackHawk is right for your needs.

For more information about how StackHawk handles your personal data, please see our Privacy Policy.