PORTFOLIO

Defensively Engineered Audits & Projects

Explore how we've helped startups and global enterprises design robust software systems while meeting strict regulatory standards.

0 EXPLOITS / <1% CPU

Finance

Edge-AI Mobile Shield (RASP) Integration for FinTech

Client: Digital Banking Startup

Duration: 12 months

Staff: 8 engineers

Vulnerability Vector (Problem)

The banking startup required a high-integrity mobile app to block reverse engineering and runtime exploits. Traditional signature-based shields caused more than 5% CPU overhead and lag, leading to poor user retention.

Cryptographic Resolution (Solution)

We integrated our Mobile Shield (RASP) SDK with lightweight on-device Edge-AI threat classifiers. The local model profiles execution patterns, blocking debugger attachments and memory-tampering vectors instantly on-device in under 50ms with negligible resource usage.

SwiftKotlinEdge-AI RASP SDKAES-256 GCMAWS KMSKeychain API

500K+

Protected active client users

Successful debugger attachments

100%

Runtime tampering checks passed

< 1%

Edge-AI client CPU overhead

100% AUTONOMIC SASE

Healthcare

Cognitive Zero Trust & SASE for Regional Healthcare

Client: Regional Healthcare Network

Duration: 10 months

Staff: 5 engineers

Vulnerability Vector (Problem)

The client needed to secure access to patient registries across 15 clinics. Static access perimeters and VPNs were vulnerable to session token theft and credentials hijacking, risking HIPAA compliance violations.

Cryptographic Resolution (Solution)

We engineered a Zero Trust Network Access (ZTNA) model featuring SASE gateways and an AI-powered Continuous Risk Score Evaluator. The system evaluates device safety scores, access contexts, and session tokens continuously, isolating compromised accounts in less than 1 second.

Zero Trust ZTNASASE GatewayAI-XDR Log AuditOAuth2 / OIDCAzure Key VaultHL7 FHIR

60%

Reduction in perimeter access risks

100%

Zero Trust compliance audit score

< 1s

AI Autonomic Threat containment

50K+

Patient identities migrated to IAM

99.9% NOISE SUPPRESSED

Retail / E-Commerce

AI-Augmented SOC & Defensive Operations Modernization

Client: Leading Retail Brand

Duration: 8 months

Staff: 6 engineers

Vulnerability Vector (Problem)

Legacy log logging tools delayed intrusion alerts and suffered from massive alert fatigue. Security analysts wasted hours filtering false alerts while bot-driven credential stuffing triggered system outages.

Cryptographic Resolution (Solution)

We deployed a Defensive Operations log pipeline linked to our 24/7 Security Operations Center (SOC). We integrated our Cognitive Alert Triage Model to filter 99.9% of alert noise, allowing our security copilots to contain genuine attacks within 3 minutes.

AI Log CollectorsSIEM DashboardsManaged SOCNext.jsRedis CacheCloudflare WAF

99.9%

AI alert noise suppression rate

< 3m

Average threat response & containment

99.99%

Uptime maintained during attack storms

10x

Increase in logging query capability

Non-Disclosure Agreement Vault

Due to strict banking, healthcare, and enterprise NDA constraints, a significant portion of our security audits and defensive code implementations remain confidential. Contact our security nodes to request a secure session to review generalized case studies under NDA.

Request Secure Consultation