Universal Risk,
Specific Failures.
While the mechanism of AI-cheating is universal, the impact vector is unique to each industry. We tailor our defensive strategies to the specific compliance, security, and technical requirements of your sector.
Software Engineering
The "Co-Pilot Crisis" has rendered traditional algorithmic assessments obsolete. Candidates are not just solving problems; they are injecting IP-leaking code from public LLMs into your private repositories.
- Risk: IP Contamination & License Violation
- Risk: "Copy-Paste" Junior Architecture
Case Study: EquiFlow (FinTech Series B)
The Challenge
EquiFlow was hiring L5/L6 Backend Engineers. Their pipeline showed a 95% pass rate on HackerRank hard-level DP problems, but a 90% failure rate in system design. We audited the gap.
The Discovery
Our telemetry revealed that 85% of "passing" candidates were using a specific browser overlay tool that solved LeetCode problems in real-time. The "System Design" failure was simply the moment they had to think without the tool.
Healthcare & Pharma
In clinical data roles, "Resume Hallucination" is life-critical. We are seeing candidates fabricate entire certifications and project histories using AI to match JD keywords.
- Risk: Fabricated HL7/FHIR Experience
- Risk: Regulatory Non-Compliance
Case Study: MedCore (HealthTech)
The Challenge
MedCore's ATS was flooded with "perfect match" candidates for a niche Informatics role. Interviewers reported that candidates couldn't answer basic questions about their own listed projects.
The Discovery
We utilized AI-text detection on the resumes and found that 30% were 100% synthetic, generated specifically to game the ATS keyword filters. The candidates had never touched the technology they claimed to master.
Strategic Frameworks. Sector-Specific Solutions.
Download our full strategic analysis for Legal, Finance, and Public Sector entities.