Industry

Financial Services

Compliance and regulatory risk management in tax and finance through Neuro-Symbolic AI ensuring accuracy, auditability, and complete regulatory alignment.

Neuro-Symbolic Architecture & Constraint Systems
Enterprise Finance & Tax Compliance

ChatGPT failed 100% of tax compliance tests. The IRS doesn't accept 'probably.' 🧮

100%
LLMs failed tax tests
Veriprajna Audit 2025
90%
Financial blogs spread misinformation
Typical Rate
View details

The Stochastic Parrot vs. The Statutory Code

Major LLMs hallucinate tax advice, citing non-existent statutes. AI trained on misinformation, not IRC code creates compliance risk.

THE CONSENSUS ERROR

LLMs train on popular misinformation, not statutory truth. Every major model failed OBBBA tests, hallucinating tax deductions and creating enterprise audit liability.

NEURO-SYMBOLIC TAX ENGINE
  • Encode IRC rules in legal DSLs
  • Knowledge Graphs map statutory relationships explicitly
  • LLM queries symbolic logic for answers
  • Full audit trail with IRS-ready documentation
Neuro-Symbolic AIKnowledge GraphsCatala DSL
Read Interactive Whitepaper →Read Technical Whitepaper →
Algorithmic Finance & Neuro-Symbolic Risk Intelligence

$1 trillion evaporated in a single day as herding algorithms turned a rate hike into a global flash crash. 📉

$1T
market cap wiped from top AI/tech firms in a single trading day
Wall Street Analysis (Aug 2024)
65.73
VIX peak -- largest single-day spike in history, up 303%
BIS / CBOE (Aug 5, 2024)
View details

The Deterministic Alternative

The August 2024 flash crash proved that probabilistic trading algorithms create cascading feedback loops, turning a Japanese rate hike into a $1T global wipeout.

ALGORITHMIC CONTAGION

When Japan raised rates 0.25%, triggering a 7.7% Yen appreciation, the multi-trillion dollar carry trade unwound violently. The Nikkei plunged 12.4% -- worst since Black Monday 1987. The VIX spiked 180% pre-market from a quote-based anomaly, feeding flawed volatility data into thousands of automated sell algorithms.

NEURO-SYMBOLIC FINANCE
  • Deploy Graph Neural Networks modeling market topology to identify contagion pathways
  • Enforce symbolic constraint engines encoding margin and liquidity rules in legal DSLs
  • Implement deterministic 'Financial Safety Firewalls' severing AI on threshold breaches
  • Integrate RL margin-aware agents trained on liquidity drought and carry trade scenarios
Neuro-Symbolic ArchitectureGraph Neural NetworksKnowledge GraphsReinforcement LearningDeterministic Constraints
Read Interactive Whitepaper →Read Technical Whitepaper →
Financial AI • Customer Experience • Neuro-Symbolic Systems

Klarna replaced 700 agents with AI, cutting costs to $0.19/transaction. Customer satisfaction dropped 22%. Q1 loss: $99 million. Then they begged humans to come back. 🔄

22%
CSAT score decline after Klarna replaced 700 agents with LLM wrappers
Klarna Performance Analysis, 2025
$890B
Retail returns crisis driven by probabilistic AI virtual try-on tools
Retail Industry Returns Report
View details

Architecting Deterministic Truth

Klarna's AI replacement of 700 agents triggered a 22% satisfaction drop and $99M quarterly loss, proving that probabilistic wrappers without deterministic cores create enterprise value destruction.

WRAPPER TRAP BACKFIRES HARD

Klarna's mid-2025 reversal proved the replacement mindset is fundamentally flawed. Cost savings from automating 80% of tasks were destroyed by failing the critical 20% that drives brand reputation and financial liability for a $14.6B company.

NEURO-SYMBOLIC SANDWICH ARCHITECTURE
  • Intent validation layer checking for policy violations and adversarial prompts before LLM processing
  • Constrained decoding with token masking physically preventing logically or syntactically incorrect outputs
  • Citation-enforced GraphRAG capturing entity relationships for verified fact retrieval over similarity search
  • Output validation via finite state machine enforcing 100% compliance with business rules and schemas
Neuro-Symbolic AIGraphRAGConstrained DecodingDigital TwinsSovereign LLMs
Read Interactive Whitepaper →Read Technical Whitepaper →
Continuous Monitoring & Audit Trails
Enterprise Finance & Tax Compliance

ChatGPT failed 100% of tax compliance tests. The IRS doesn't accept 'probably.' 🧮

100%
LLMs failed tax tests
Veriprajna Audit 2025
90%
Financial blogs spread misinformation
Typical Rate
View details

The Stochastic Parrot vs. The Statutory Code

Major LLMs hallucinate tax advice, citing non-existent statutes. AI trained on misinformation, not IRC code creates compliance risk.

THE CONSENSUS ERROR

LLMs train on popular misinformation, not statutory truth. Every major model failed OBBBA tests, hallucinating tax deductions and creating enterprise audit liability.

NEURO-SYMBOLIC TAX ENGINE
  • Encode IRC rules in legal DSLs
  • Knowledge Graphs map statutory relationships explicitly
  • LLM queries symbolic logic for answers
  • Full audit trail with IRS-ready documentation
Neuro-Symbolic AIKnowledge GraphsCatala DSL
Read Interactive Whitepaper →Read Technical Whitepaper →
Solutions Architecture & Reference Implementation
Enterprise Finance & Tax Compliance

ChatGPT failed 100% of tax compliance tests. The IRS doesn't accept 'probably.' 🧮

100%
LLMs failed tax tests
Veriprajna Audit 2025
90%
Financial blogs spread misinformation
Typical Rate
View details

The Stochastic Parrot vs. The Statutory Code

Major LLMs hallucinate tax advice, citing non-existent statutes. AI trained on misinformation, not IRC code creates compliance risk.

THE CONSENSUS ERROR

LLMs train on popular misinformation, not statutory truth. Every major model failed OBBBA tests, hallucinating tax deductions and creating enterprise audit liability.

NEURO-SYMBOLIC TAX ENGINE
  • Encode IRC rules in legal DSLs
  • Knowledge Graphs map statutory relationships explicitly
  • LLM queries symbolic logic for answers
  • Full audit trail with IRS-ready documentation
Neuro-Symbolic AIKnowledge GraphsCatala DSL
Read Interactive Whitepaper →Read Technical Whitepaper →
Enterprise Modernization • AI & Knowledge Graphs • Financial Services

AI translated COBOL perfectly. Syntax was flawless. The code crashed the database. 70-80% modernization failure. 💥

70-80%
Modernization failure rate
Industry Research 2025
2-3x
Productivity increase with graphs
Veriprajna Whitepaper
View details

The Architecture of Understanding

COBOL migration had perfect syntax but crashed databases. LLMs miss context dependencies. Repository-Aware Knowledge Graphs enable deterministic graph reasoning for verifiable modernization.

THE BANK FAILURE

AI migrated COBOL with perfect syntax but missed variable definitions. Type mismatches corrupted database on deployment. Lost in middle syndrome caused production failures.

REPOSITORY-AWARE KNOWLEDGE GRAPHS
  • AST parsing chunks by logical boundaries
  • Transitive Closure calculates deep dependency chains
  • GraphRAG retrieves via structural relationships precisely
  • Agentic Loops compile and self-correct automatically
Knowledge GraphsGraphRAGAST ParsingLegacy ModernizationCOBOL MigrationNeo4jAgentic AITree-sitterTransitive Closure
Read Interactive Whitepaper →Read Technical Whitepaper →
Algorithmic Finance & Neuro-Symbolic Risk Intelligence

$1 trillion evaporated in a single day as herding algorithms turned a rate hike into a global flash crash. 📉

$1T
market cap wiped from top AI/tech firms in a single trading day
Wall Street Analysis (Aug 2024)
65.73
VIX peak -- largest single-day spike in history, up 303%
BIS / CBOE (Aug 5, 2024)
View details

The Deterministic Alternative

The August 2024 flash crash proved that probabilistic trading algorithms create cascading feedback loops, turning a Japanese rate hike into a $1T global wipeout.

ALGORITHMIC CONTAGION

When Japan raised rates 0.25%, triggering a 7.7% Yen appreciation, the multi-trillion dollar carry trade unwound violently. The Nikkei plunged 12.4% -- worst since Black Monday 1987. The VIX spiked 180% pre-market from a quote-based anomaly, feeding flawed volatility data into thousands of automated sell algorithms.

NEURO-SYMBOLIC FINANCE
  • Deploy Graph Neural Networks modeling market topology to identify contagion pathways
  • Enforce symbolic constraint engines encoding margin and liquidity rules in legal DSLs
  • Implement deterministic 'Financial Safety Firewalls' severing AI on threshold breaches
  • Integrate RL margin-aware agents trained on liquidity drought and carry trade scenarios
Neuro-Symbolic ArchitectureGraph Neural NetworksKnowledge GraphsReinforcement LearningDeterministic Constraints
Read Interactive Whitepaper →Read Technical Whitepaper →
Enterprise Finance • Regulatory Compliance • Deep AI

Apple Card's broken code silently ate tens of thousands of consumer disputes. CFPB fine: $89 million. 💸

$89M
CFPB penalties and consumer redress against Apple and Goldman Sachs
CFPB Enforcement (Oct 2024)
$25M
liquidated damages Apple could claim per 90-day delay -- forcing premature go-live
CFPB Consent Order, Apple Inc.
View details

Engineering Absolute Compliance

A broken state machine in the Apple Wallet's dispute flow silently dropped valid billing disputes, exposing how multi-party fintech systems ship without formal verification of compliance workflows.

SILENT FAILURE AT SCALE

Apple's June 2020 update introduced a secondary form that broke the dispute pipeline. Tens of thousands of valid Billing Error Notices under TILA were silently dropped. Neither company investigated, and consumers were held liable for unauthorized charges they had already reported.

PROVABLY CORRECT COMPLIANCE
  • Model dispute workflows as distributed state machines using TLA+ and Imandra to flag dead states
  • Deploy multi-agent orchestration with Sentinel agents detecting stalled disputes autonomously
  • Verify API contracts between partners using SMT solvers for PCI DSS 4.0 compliance
  • Enforce regulatory timing via Performal symbolic latency guaranteeing 60-day resolution windows
Formal VerificationMulti-Agent SystemsNeurosymbolic AITLA+ / ImandraCompliance-by-Design
Read Interactive Whitepaper →Read Technical Whitepaper →
Knowledge Graph & Domain Ontology Engineering
Enterprise Modernization • AI & Knowledge Graphs • Financial Services

AI translated COBOL perfectly. Syntax was flawless. The code crashed the database. 70-80% modernization failure. 💥

70-80%
Modernization failure rate
Industry Research 2025
2-3x
Productivity increase with graphs
Veriprajna Whitepaper
View details

The Architecture of Understanding

COBOL migration had perfect syntax but crashed databases. LLMs miss context dependencies. Repository-Aware Knowledge Graphs enable deterministic graph reasoning for verifiable modernization.

THE BANK FAILURE

AI migrated COBOL with perfect syntax but missed variable definitions. Type mismatches corrupted database on deployment. Lost in middle syndrome caused production failures.

REPOSITORY-AWARE KNOWLEDGE GRAPHS
  • AST parsing chunks by logical boundaries
  • Transitive Closure calculates deep dependency chains
  • GraphRAG retrieves via structural relationships precisely
  • Agentic Loops compile and self-correct automatically
Knowledge GraphsGraphRAGAST ParsingLegacy ModernizationCOBOL MigrationNeo4jAgentic AITree-sitterTransitive Closure
Read Interactive Whitepaper →Read Technical Whitepaper →
Deterministic Workflows & Tooling
Enterprise Finance • Regulatory Compliance • Deep AI

Apple Card's broken code silently ate tens of thousands of consumer disputes. CFPB fine: $89 million. 💸

$89M
CFPB penalties and consumer redress against Apple and Goldman Sachs
CFPB Enforcement (Oct 2024)
$25M
liquidated damages Apple could claim per 90-day delay -- forcing premature go-live
CFPB Consent Order, Apple Inc.
View details

Engineering Absolute Compliance

A broken state machine in the Apple Wallet's dispute flow silently dropped valid billing disputes, exposing how multi-party fintech systems ship without formal verification of compliance workflows.

SILENT FAILURE AT SCALE

Apple's June 2020 update introduced a secondary form that broke the dispute pipeline. Tens of thousands of valid Billing Error Notices under TILA were silently dropped. Neither company investigated, and consumers were held liable for unauthorized charges they had already reported.

PROVABLY CORRECT COMPLIANCE
  • Model dispute workflows as distributed state machines using TLA+ and Imandra to flag dead states
  • Deploy multi-agent orchestration with Sentinel agents detecting stalled disputes autonomously
  • Verify API contracts between partners using SMT solvers for PCI DSS 4.0 compliance
  • Enforce regulatory timing via Performal symbolic latency guaranteeing 60-day resolution windows
Formal VerificationMulti-Agent SystemsNeurosymbolic AITLA+ / ImandraCompliance-by-Design
Read Interactive Whitepaper →Read Technical Whitepaper →
AI Governance & Compliance Program
Fair Lending • Algorithmic Bias • Credit Underwriting AI

Navy Federal rejected over half its Black mortgage applicants while approving 77% of white ones. The widest gap of any top-50 lender. ⚠️

29pt
gap between white and Black mortgage approval rates at Navy Federal
HMDA Data Analysis (2022)
$2.5M
Earnest Operations settlement for AI lending bias against Black and Hispanic borrowers
Massachusetts AG (Jul 2025)
View details

The Algorithmic Accountability Crisis

AI lending models encode historical discrimination through proxy variables, turning structural racism into automated credit denials that cannot explain or justify their decisions.

PROXY DISCRIMINATION ENGINE

Earnest used Cohort Default Rates -- a school-level metric correlating with race due to HBCU underfunding -- as a weighted subscore. Combined with knockout rules auto-denying non-green-card applicants, the algorithm hard-coded inequity. Even controlling for income and DTI, Black applicants at Navy Federal were 2x more likely to be denied.

FAIRNESS-ENGINEERED INTELLIGENCE
  • Audit all inputs for proxy discrimination using SHAP values and four-fifths rule analysis
  • Implement adversarial debiasing penalizing the model for encoding protected attributes
  • Generate counterfactual explanations in real-time for every adverse action notice
  • Deploy continuous bias drift monitoring with alerts on equalized odds threshold breaches
SHAP / LIMEAdversarial DebiasingSR 11-7 Model RiskNIST AI RMF 2.0Fairness Engineering
Read Interactive Whitepaper →Read Technical Whitepaper →
Infrastructure & Sovereign Deployment
Deepfake Defense • Multi-Modal Authentication • Sovereign AI

Deepfake attackers impersonated a CFO and multiple executives on a live video call. The employee made 15 transfers to 5 accounts. Loss: $25.6 million. No malware was used. 🎬

$25.6M
Stolen via single deepfake video conference impersonating CFO and board members
Arup Deepfake Fraud Investigation, 2024
704%
Increase in face-swap attacks in 2023 as generative fraud tools proliferate
Biometric Threat Intelligence Report
View details

The Architecture of Trust in Synthetic Deception

Arup lost $25.6 million to interactive deepfakes impersonating executives on a live video call — no malware, no breach — exposing the collapse of visual trust in enterprise communications.

VISUAL TRUST HAS COLLAPSED

Attackers manufactured a reality indistinguishable from truth using AI-generated deepfakes of a CFO and boardroom executives on a live video call. No malware or credential theft was needed. When a face and voice can be fabricated for $15 in 45 minutes, traditional trust signals are broken.

SOVEREIGN DEEPFAKE DEFENSE
  • Physiological signal analysis detecting heartbeat-induced facial color micro-changes invisible to human eyes
  • Behavioral biometrics profiling keystroke dynamics and cognitive patterns as unforgeable identity markers
  • C2PA cryptographic provenance embedding tamper-evident metadata at moment of capture for authentication
  • Private enterprise LLMs in client VPC with neuro-symbolic sandwich ensuring deterministic verification
Deepfake DetectionBehavioral BiometricsC2PA ProvenanceSovereign AIComputer Vision
Read Interactive Whitepaper →Read Technical Whitepaper →
AI Strategy, Readiness & Risk Assessment
Fair Lending • Algorithmic Bias • Credit Underwriting AI

Navy Federal rejected over half its Black mortgage applicants while approving 77% of white ones. The widest gap of any top-50 lender. ⚠️

29pt
gap between white and Black mortgage approval rates at Navy Federal
HMDA Data Analysis (2022)
$2.5M
Earnest Operations settlement for AI lending bias against Black and Hispanic borrowers
Massachusetts AG (Jul 2025)
View details

The Algorithmic Accountability Crisis

AI lending models encode historical discrimination through proxy variables, turning structural racism into automated credit denials that cannot explain or justify their decisions.

PROXY DISCRIMINATION ENGINE

Earnest used Cohort Default Rates -- a school-level metric correlating with race due to HBCU underfunding -- as a weighted subscore. Combined with knockout rules auto-denying non-green-card applicants, the algorithm hard-coded inequity. Even controlling for income and DTI, Black applicants at Navy Federal were 2x more likely to be denied.

FAIRNESS-ENGINEERED INTELLIGENCE
  • Audit all inputs for proxy discrimination using SHAP values and four-fifths rule analysis
  • Implement adversarial debiasing penalizing the model for encoding protected attributes
  • Generate counterfactual explanations in real-time for every adverse action notice
  • Deploy continuous bias drift monitoring with alerts on equalized odds threshold breaches
SHAP / LIMEAdversarial DebiasingSR 11-7 Model RiskNIST AI RMF 2.0Fairness Engineering
Read Interactive Whitepaper →Read Technical Whitepaper →
Financial AI • Customer Experience • Neuro-Symbolic Systems

Klarna replaced 700 agents with AI, cutting costs to $0.19/transaction. Customer satisfaction dropped 22%. Q1 loss: $99 million. Then they begged humans to come back. 🔄

22%
CSAT score decline after Klarna replaced 700 agents with LLM wrappers
Klarna Performance Analysis, 2025
$890B
Retail returns crisis driven by probabilistic AI virtual try-on tools
Retail Industry Returns Report
View details

Architecting Deterministic Truth

Klarna's AI replacement of 700 agents triggered a 22% satisfaction drop and $99M quarterly loss, proving that probabilistic wrappers without deterministic cores create enterprise value destruction.

WRAPPER TRAP BACKFIRES HARD

Klarna's mid-2025 reversal proved the replacement mindset is fundamentally flawed. Cost savings from automating 80% of tasks were destroyed by failing the critical 20% that drives brand reputation and financial liability for a $14.6B company.

NEURO-SYMBOLIC SANDWICH ARCHITECTURE
  • Intent validation layer checking for policy violations and adversarial prompts before LLM processing
  • Constrained decoding with token masking physically preventing logically or syntactically incorrect outputs
  • Citation-enforced GraphRAG capturing entity relationships for verified fact retrieval over similarity search
  • Output validation via finite state machine enforcing 100% compliance with business rules and schemas
Neuro-Symbolic AIGraphRAGConstrained DecodingDigital TwinsSovereign LLMs
Read Interactive Whitepaper →Read Technical Whitepaper →
Grounding, Citation & Verification
Enterprise Modernization • AI & Knowledge Graphs • Financial Services

AI translated COBOL perfectly. Syntax was flawless. The code crashed the database. 70-80% modernization failure. 💥

70-80%
Modernization failure rate
Industry Research 2025
2-3x
Productivity increase with graphs
Veriprajna Whitepaper
View details

The Architecture of Understanding

COBOL migration had perfect syntax but crashed databases. LLMs miss context dependencies. Repository-Aware Knowledge Graphs enable deterministic graph reasoning for verifiable modernization.

THE BANK FAILURE

AI migrated COBOL with perfect syntax but missed variable definitions. Type mismatches corrupted database on deployment. Lost in middle syndrome caused production failures.

REPOSITORY-AWARE KNOWLEDGE GRAPHS
  • AST parsing chunks by logical boundaries
  • Transitive Closure calculates deep dependency chains
  • GraphRAG retrieves via structural relationships precisely
  • Agentic Loops compile and self-correct automatically
Knowledge GraphsGraphRAGAST ParsingLegacy ModernizationCOBOL MigrationNeo4jAgentic AITree-sitterTransitive Closure
Read Interactive Whitepaper →Read Technical Whitepaper →
Financial AI • Customer Experience • Neuro-Symbolic Systems

Klarna replaced 700 agents with AI, cutting costs to $0.19/transaction. Customer satisfaction dropped 22%. Q1 loss: $99 million. Then they begged humans to come back. 🔄

22%
CSAT score decline after Klarna replaced 700 agents with LLM wrappers
Klarna Performance Analysis, 2025
$890B
Retail returns crisis driven by probabilistic AI virtual try-on tools
Retail Industry Returns Report
View details

Architecting Deterministic Truth

Klarna's AI replacement of 700 agents triggered a 22% satisfaction drop and $99M quarterly loss, proving that probabilistic wrappers without deterministic cores create enterprise value destruction.

WRAPPER TRAP BACKFIRES HARD

Klarna's mid-2025 reversal proved the replacement mindset is fundamentally flawed. Cost savings from automating 80% of tasks were destroyed by failing the critical 20% that drives brand reputation and financial liability for a $14.6B company.

NEURO-SYMBOLIC SANDWICH ARCHITECTURE
  • Intent validation layer checking for policy violations and adversarial prompts before LLM processing
  • Constrained decoding with token masking physically preventing logically or syntactically incorrect outputs
  • Citation-enforced GraphRAG capturing entity relationships for verified fact retrieval over similarity search
  • Output validation via finite state machine enforcing 100% compliance with business rules and schemas
Neuro-Symbolic AIGraphRAGConstrained DecodingDigital TwinsSovereign LLMs
Read Interactive Whitepaper →Read Technical Whitepaper →
Computer Vision & Perception Engineering
Deepfake Defense • Multi-Modal Authentication • Sovereign AI

Deepfake attackers impersonated a CFO and multiple executives on a live video call. The employee made 15 transfers to 5 accounts. Loss: $25.6 million. No malware was used. 🎬

$25.6M
Stolen via single deepfake video conference impersonating CFO and board members
Arup Deepfake Fraud Investigation, 2024
704%
Increase in face-swap attacks in 2023 as generative fraud tools proliferate
Biometric Threat Intelligence Report
View details

The Architecture of Trust in Synthetic Deception

Arup lost $25.6 million to interactive deepfakes impersonating executives on a live video call — no malware, no breach — exposing the collapse of visual trust in enterprise communications.

VISUAL TRUST HAS COLLAPSED

Attackers manufactured a reality indistinguishable from truth using AI-generated deepfakes of a CFO and boardroom executives on a live video call. No malware or credential theft was needed. When a face and voice can be fabricated for $15 in 45 minutes, traditional trust signals are broken.

SOVEREIGN DEEPFAKE DEFENSE
  • Physiological signal analysis detecting heartbeat-induced facial color micro-changes invisible to human eyes
  • Behavioral biometrics profiling keystroke dynamics and cognitive patterns as unforgeable identity markers
  • C2PA cryptographic provenance embedding tamper-evident metadata at moment of capture for authentication
  • Private enterprise LLMs in client VPC with neuro-symbolic sandwich ensuring deterministic verification
Deepfake DetectionBehavioral BiometricsC2PA ProvenanceSovereign AIComputer Vision
Read Interactive Whitepaper →Read Technical Whitepaper →
Formal Verification & Proof Automation
Enterprise Finance • Regulatory Compliance • Deep AI

Apple Card's broken code silently ate tens of thousands of consumer disputes. CFPB fine: $89 million. 💸

$89M
CFPB penalties and consumer redress against Apple and Goldman Sachs
CFPB Enforcement (Oct 2024)
$25M
liquidated damages Apple could claim per 90-day delay -- forcing premature go-live
CFPB Consent Order, Apple Inc.
View details

Engineering Absolute Compliance

A broken state machine in the Apple Wallet's dispute flow silently dropped valid billing disputes, exposing how multi-party fintech systems ship without formal verification of compliance workflows.

SILENT FAILURE AT SCALE

Apple's June 2020 update introduced a secondary form that broke the dispute pipeline. Tens of thousands of valid Billing Error Notices under TILA were silently dropped. Neither company investigated, and consumers were held liable for unauthorized charges they had already reported.

PROVABLY CORRECT COMPLIANCE
  • Model dispute workflows as distributed state machines using TLA+ and Imandra to flag dead states
  • Deploy multi-agent orchestration with Sentinel agents detecting stalled disputes autonomously
  • Verify API contracts between partners using SMT solvers for PCI DSS 4.0 compliance
  • Enforce regulatory timing via Performal symbolic latency guaranteeing 60-day resolution windows
Formal VerificationMulti-Agent SystemsNeurosymbolic AITLA+ / ImandraCompliance-by-Design
Read Interactive Whitepaper →Read Technical Whitepaper →
Security Assessment & Hardening
Deepfake Defense • Multi-Modal Authentication • Sovereign AI

Deepfake attackers impersonated a CFO and multiple executives on a live video call. The employee made 15 transfers to 5 accounts. Loss: $25.6 million. No malware was used. 🎬

$25.6M
Stolen via single deepfake video conference impersonating CFO and board members
Arup Deepfake Fraud Investigation, 2024
704%
Increase in face-swap attacks in 2023 as generative fraud tools proliferate
Biometric Threat Intelligence Report
View details

The Architecture of Trust in Synthetic Deception

Arup lost $25.6 million to interactive deepfakes impersonating executives on a live video call — no malware, no breach — exposing the collapse of visual trust in enterprise communications.

VISUAL TRUST HAS COLLAPSED

Attackers manufactured a reality indistinguishable from truth using AI-generated deepfakes of a CFO and boardroom executives on a live video call. No malware or credential theft was needed. When a face and voice can be fabricated for $15 in 45 minutes, traditional trust signals are broken.

SOVEREIGN DEEPFAKE DEFENSE
  • Physiological signal analysis detecting heartbeat-induced facial color micro-changes invisible to human eyes
  • Behavioral biometrics profiling keystroke dynamics and cognitive patterns as unforgeable identity markers
  • C2PA cryptographic provenance embedding tamper-evident metadata at moment of capture for authentication
  • Private enterprise LLMs in client VPC with neuro-symbolic sandwich ensuring deterministic verification
Deepfake DetectionBehavioral BiometricsC2PA ProvenanceSovereign AIComputer Vision
Read Interactive Whitepaper →Read Technical Whitepaper →
Explainability & Decision Transparency
Algorithmic Finance & Neuro-Symbolic Risk Intelligence

$1 trillion evaporated in a single day as herding algorithms turned a rate hike into a global flash crash. 📉

$1T
market cap wiped from top AI/tech firms in a single trading day
Wall Street Analysis (Aug 2024)
65.73
VIX peak -- largest single-day spike in history, up 303%
BIS / CBOE (Aug 5, 2024)
View details

The Deterministic Alternative

The August 2024 flash crash proved that probabilistic trading algorithms create cascading feedback loops, turning a Japanese rate hike into a $1T global wipeout.

ALGORITHMIC CONTAGION

When Japan raised rates 0.25%, triggering a 7.7% Yen appreciation, the multi-trillion dollar carry trade unwound violently. The Nikkei plunged 12.4% -- worst since Black Monday 1987. The VIX spiked 180% pre-market from a quote-based anomaly, feeding flawed volatility data into thousands of automated sell algorithms.

NEURO-SYMBOLIC FINANCE
  • Deploy Graph Neural Networks modeling market topology to identify contagion pathways
  • Enforce symbolic constraint engines encoding margin and liquidity rules in legal DSLs
  • Implement deterministic 'Financial Safety Firewalls' severing AI on threshold breaches
  • Integrate RL margin-aware agents trained on liquidity drought and carry trade scenarios
Neuro-Symbolic ArchitectureGraph Neural NetworksKnowledge GraphsReinforcement LearningDeterministic Constraints
Read Interactive Whitepaper →Read Technical Whitepaper →
Fair Lending • Algorithmic Bias • Credit Underwriting AI

Navy Federal rejected over half its Black mortgage applicants while approving 77% of white ones. The widest gap of any top-50 lender. ⚠️

29pt
gap between white and Black mortgage approval rates at Navy Federal
HMDA Data Analysis (2022)
$2.5M
Earnest Operations settlement for AI lending bias against Black and Hispanic borrowers
Massachusetts AG (Jul 2025)
View details

The Algorithmic Accountability Crisis

AI lending models encode historical discrimination through proxy variables, turning structural racism into automated credit denials that cannot explain or justify their decisions.

PROXY DISCRIMINATION ENGINE

Earnest used Cohort Default Rates -- a school-level metric correlating with race due to HBCU underfunding -- as a weighted subscore. Combined with knockout rules auto-denying non-green-card applicants, the algorithm hard-coded inequity. Even controlling for income and DTI, Black applicants at Navy Federal were 2x more likely to be denied.

FAIRNESS-ENGINEERED INTELLIGENCE
  • Audit all inputs for proxy discrimination using SHAP values and four-fifths rule analysis
  • Implement adversarial debiasing penalizing the model for encoding protected attributes
  • Generate counterfactual explanations in real-time for every adverse action notice
  • Deploy continuous bias drift monitoring with alerts on equalized odds threshold breaches
SHAP / LIMEAdversarial DebiasingSR 11-7 Model RiskNIST AI RMF 2.0Fairness Engineering
Read Interactive Whitepaper →Read Technical Whitepaper →

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Veriprajna Deep Tech Consultancy specializes in building safety-critical AI systems for healthcare, finance, and regulatory domains. Our architectures are validated against established protocols with comprehensive compliance documentation.