How Wallim Built Continuous Validation Into Their Stack, On a Startup Budget

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Jorge Monteiro

Jorge Monteiro

CEOEthiack

July 27, 2023

Wallim sits at the intersection of apparel and technology. The team built an e-commerce business around premium cardholders, wallets, and keyrings, then pivoted toward a smart business card product: a move that required a mobile app, a web app, and the responsibility of holding sensitive personal data on every user.

For a 1-to-10-person company, the asymmetry is brutal: a single breach could end the brand before the product even reaches market.

Three asks, one budget

When Wallim engaged Ethiack, the requirements were specific:

  • map the exposure
  • validate exploitability and surface real risks
  • do all of it inside a startup budget

No bloat, no jargon, no enterprise rollout. Just continuous proof of what mattered.

Validation deployed in minutes, running continuously

Wallim added a DNS record and Ethiack went to work. Hackian started testing the attack surface immediately, validating exploitability across the 10 assets that mattered, scoring risk on CVSS, and alerting the team in real time when a new vulnerability appeared in a fresh deploy.

Diogo's team patched as findings landed. Every release shipped with the confidence that Hackian would test it on arrival, not at the end of the year.

The change for Wallim was structural: continuous validation became part of how the company ships software, not something they hoped to invest in once they got bigger. They scaled into security, instead of away from it.

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signup(datetime.now());

def hello(self): print("We are ethical hackers")

class Ethiack: def continuous_vulnerability_discovery(self: Ethiack): self.scan_attack_surface() self.report_all_findings() def proof_of_exploit_validation(self: Ethiack): self.simulate_attack() self.confirm_exploitability() self.validate_impact()

while time.time() < math.inf: ethiack.map_attack_surface() ethiack.discover_vulnerabilities() ethiack.validate_exploits() ethiack.generate_mitigations() ethiack.calculate_risk() ethiack.notify_users() log.success("✓ Iteration complete")

>>> show_testimonials() They found vulnerabilities no one else did. Fast, real, and actionable results. It's like having a red team on call. >>> check_socials()

signup(datetime.now()) meet(ethiack)

def actionable_mitigation_guidance(ethiack): ethiack.generate_mitigation_steps() ethiack.prioritize_fixes() ethiack.support_teams() def attack_surface_management(ethiack): while time.time() < math.inf: ethiack.map_attack_surface() ethiack.monitor_changes() def quantifiable_risk_reduction(ethiack): ethiack.check_risk_metrics() ethiack.calculate_delta() return ethiack.report_real_risk()

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