Client Stories · Real-World Outcomes
Security, intelligence, and systems work
grounded in real-world complexity.
These case studies illustrate how DevPsh engages with complex environments, adversarial risk, and evolving technology systems — focusing on outcomes, not abstractions.
Why we document our work
Security failures, system outages, and architectural breakdowns rarely happen in isolation. They emerge from accumulated decisions, hidden dependencies, and misunderstood risk.
Our case studies are written to expose those dynamics — showing not only what was found, but why it mattered and how organizations changed as a result.
Cloud identity abuse in a multi-account enterprise environment
A large organization experienced repeated security incidents despite passing regular compliance assessments.
DevPsh was engaged to understand how attackers were repeatedly obtaining elevated access across cloud accounts without exploiting traditional vulnerabilities.
Our assessment revealed identity misconfigurations across IAM roles, trust relationships, and CI/CD pipelines that allowed lateral movement between environments.
Rather than a single flaw, the exposure emerged from the interaction between automation, privilege delegation, and incomplete visibility.
We mapped realistic attack paths, demonstrated privilege escalation, and worked with engineering teams to redesign identity boundaries.
The engagement resulted in a re-architecture of identity governance, reduction of blast radius, and improved detection across cloud telemetry.
Business logic exploitation in a high-traffic consumer platform
A mature application stack with extensive security tooling still suffered from silent financial abuse.
DevPsh conducted an adversary-driven penetration test focused on transaction flows, authorization boundaries, and state transitions.
We identified multiple business logic flaws that allowed attackers to manipulate workflows without triggering traditional alerts.
These issues did not appear as vulnerabilities in scanners or code reviews, but emerged only through active abuse scenarios.
Exploitation demonstrated direct revenue impact and reputational risk.
The client implemented redesigned validation logic, monitoring on economic abuse signals, and embedded threat modeling into product design.
Red team assessment exposing detection blind spots
A security program invested heavily in tooling but lacked confidence in real-world response capability.
DevPsh executed a controlled red team engagement simulating a financially motivated adversary.
The assessment chained phishing, credential reuse, privilege escalation, and persistence techniques across endpoints and cloud infrastructure.
While security controls existed, alert fatigue and fragmented ownership delayed response and containment.
The exercise provided concrete evidence of detection gaps and response breakdowns under pressure.
Outcomes included prioritized detection engineering, response playbooks, and executive-level visibility into real risk.
Securing an AI-driven analytics platform before scale
An organization preparing to deploy AI capabilities sought assurance beyond traditional security reviews.
DevPsh assessed the end-to-end AI pipeline including data ingestion, model training, inference services, and access controls.
We identified risks related to data poisoning, model exposure, and unintended information leakage.
These risks were architectural in nature and would have amplified significantly at scale.
Recommendations focused on governance, monitoring, and secure deployment patterns rather than reactive controls.
The client launched with improved confidence and long-term safeguards.