Authorized offensive research. Engineered remediation.

Break the path. Fix the failure.

We test software, infrastructure, and AI systems that we own or have written permission to assess. We reproduce exploitable paths under controlled conditions, repair the root cause, and retest the original path and its nearest variants.

The exploit-to-patch loop

A finding closes when evidence shows the attack path is gone.

Our sequence follows the core logic of a technical security assessment: plan the test, conduct it, analyze the evidence, mitigate the weakness, and validate the mitigation. A scanner can start the search; it cannot finish the proof.

01 / DEFINE

Set the rules of engagement

Name the assets, identities, data, techniques, timing, observers, stop conditions, and evidence route before testing begins.

02 / PROVE

Reproduce the attack path

Trace the violated trust boundary and build the smallest controlled proof that establishes impact without expanding the agreed scope.

03 / REPAIR

Remove the root cause

Change the broken invariant in code, configuration, identity, or architecture. Where possible, remove the whole defect class instead of one symptom.

04 / RETEST

Challenge the fix

Replay the exploit, test realistic variants, and save regression evidence. The result states what was tested, what changed, and what remains outside scope.

Research and engineering

Research that ends in a stronger system.

The deliverable is a defensible change: a reproducible trigger, an impact boundary, a root-cause repair, and evidence from the retest.

Vulnerability and zero-day research

Source-assisted and black-box investigation of new failure modes, exploit primitives, trust-boundary mistakes, and assumptions that routine checks do not exercise.

Exploit engineering and impact validation

Bounded proofs with explicit prerequisites, observable effects, blast-radius controls, and evidence that separates a theoretical weakness from a usable attack path.

Remediation and exploit regression

Defensive code, identity and configuration changes, reproduction harnesses, regression tests, and a retest of both the original trigger and practical variants.

AI and agent security testing

Prompt injection, tool and API abuse, excessive agency, memory poisoning, data exfiltration, model and dependency supply-chain risk, and failures in human approval boundaries.

AI as an amplifier

More hypotheses. Accountable decisions.

We use AI to inspect more code, correlate signals, generate test cases, and challenge assumptions. It does not authorize access, expand scope, or declare a system safe. People remain accountable for those decisions and for every action that reaches a real system.

AUTHORIZED_RESEARCH / CONTROLLED_ENVIRONMENT
[scope]    target and stop conditions recorded
[prove]    trust boundary violation reproduced
[repair]   authorization invariant enforced
[retest]   original and adjacent paths replayed
[result]   exploit blocked; evidence preserved

Research boundaries

Capability needs discipline.

Written authorization first.Ownership, assets, allowed techniques, data handling, timing, observers, and stop conditions are agreed before testing.
Minimize real-world impact.Use isolated targets and synthetic data where possible. Collect only the evidence required to prove and repair the flaw.
Disclose for remediation.Coordinate with the owner, protect sensitive details, and give the patch a fair path before public technical discussion.
Evidence over theatre.Separate observed behavior from inference. Preserve the trigger, environment, prerequisites, and limits of every conclusion.
Repair belongs in scope.A report is not the end state. We connect the exploit to code, configuration, identity, monitoring, and a repeatable verification step.
No silent expansion.Finding a new path does not expand permission. Testing pauses at the boundary until the owner explicitly changes the scope.

Public reference points

Methods grounded in open security guidance.

These sources inform our operating model. They are reference points, not certifications or endorsements.

Start with authorization

Name the system, the decision you need to make, and the boundary we must never cross.

We begin with authorization, scope, stop conditions, evidence handling, and the route from a confirmed exploit to a verified repair.

contact@aerolambda.tech