Practical insights from the field — for financial services risk and compliance professionals.
Most BIAs skip IT dependency mapping entirely — or treat it as an afterthought. Here's how to build the technology layer that makes your BIA actually useful for recovery planning.
A practical BIA scoring methodology for financial services. Score impact across 4 dimensions, assign criticality tiers, and set defensible RTO targets.
A contingency funding plan that sits in a drawer fails the moment you need it. Here are the components OCC, Fed, and FDIC examiners actually check — and how to build a CFP that survives both a liquidity event and a regulatory exam.
CFP and BCP sound similar but serve completely different functions. Here's how to tell them apart, who owns each, and when both trigger at the same time.
Navigate AI risks and regulatory demands with a robust AI Impact Assessment (AIIA) guide and template. Essential for financial services.
Understand the differences and synergies between ISO 22301 (Business Continuity) and ISO 27001 (Information Security) for robust financial services resilience.
Vincent Camarda of A.G. Morgan Financial Advisors pleaded guilty to $160M investment fraud. Here's what went wrong and the compliance red flags every firm should watch for.
How state and federal regulators define consequential AI decisions — and what compliance teams must do before June 2026 to avoid enforcement.
How consumer data rights like deletion, opt-out, and access apply when businesses use AI for automated decisions — mapped across CCPA, Colorado, Virginia, and 17 other state laws.
A practitioner's guide to ai model validation techniques that satisfy OCC SR 11-7, FFIEC, and CFPB requirements for ML and LLM models in financial services.
Business impact analysis vs risk assessment — learn the key differences, when to use each, and how to integrate both into your BCM program.
Contingency funding plan requirements vary by regulator, but most banks and larger credit unions need a CFP now. Here’s what OCC, Fed, FDIC, NCUA, and FINRA expect.
How to build an AI training data governance program that covers data quality, consent, provenance tracking, and regulatory compliance for financial services.
Advanced Urology and Dr. Jitesh Patel will pay $14M to settle DOJ allegations of fraudulent billing and unnecessary procedures. Key compliance takeaways inside.
Complete compliance guide to the Illinois AI Video Interview Act (820 ILCS 42) — consent requirements, BIPA intersection, HB 3773 updates, and practical steps for employers using AI hiring tools.
NYC Local Law 144 requires annual bias audits for AI hiring tools. Learn AEDT requirements, penalties, audit process, and what the Comptroller's enforcement review means for 2026.
Practical guide to detecting, protecting, and managing PII in LLM systems — covering GLBA, CCPA, de-identification, and vendor contract requirements.
Vincent Camarda of A.G. Morgan Financial Advisors pleads guilty to defrauding 400+ clients of $160M. What compliance professionals need to know about this investment adviser fraud case.
Complete tracker of US state AI laws in 2026, including Colorado AI Act, Texas TRAIGA, NYC LL 144, Illinois BIPA, and California ADMT regulations.
A contingency funding plan (CFP) maps how your institution survives a liquidity crisis. Learn what a CFP is, who needs one, key components, and regulatory requirements.
How to build AI kill switch controls for production models — decision criteria, technical implementation, fallback operations, and regulatory requirements from the EU AI Act.
Practical guide to AI model monitoring and drift detection — types of drift, statistical tests, alert thresholds, and regulatory expectations for production ML systems.
How to build AI operational resilience for financial services — dependency mapping, vendor concentration risk, BCP planning, and tabletop exercises for AI failures.
How financial institutions can detect and defend against deepfake fraud — from voice cloning scams to KYC bypass attacks. Practical controls, FinCEN red flags, and detection tech.
The SEC settled with Chicago-based P/E Capital and CEO Eliseo Prisno for charging 200+ clients $2.4M in undisclosed fees — including hijacking client login credentials to approve charges.
Step-by-step guide to algorithmic fairness audits covering NYC LL 144, Colorado SB 205, and EU AI Act requirements with audit lifecycle, testing methods, and remediation.
How to conduct disparate impact testing on AI lending models — methodologies, adverse action requirements, and enforcement examples for CFPB-ready compliance.
OCC Bulletin 2011-12 now applies to AI and ML models. Here's what national bank examiners expect, common MRA findings, and how to build a defensible program.
Prompt injection is the #1 LLM vulnerability. Learn how it threatens financial services compliance and what controls to implement today.
The SEC filed fraud charges against Jon Fullenkamp and Scott Sand for misappropriating millions through sham agreements and fraudulent preferred share issuances at two penny stock companies.
AI agents can now initiate payments autonomously. Your existing fraud controls were built for humans. Here's the threat model and control framework fintechs need now.
Step-by-step ai impact assessment guide template covering NIST AI RMF, EU AI Act, CFPB explainability, and SR 11-7. Risk tiers, timelines, owner assignments.
Build an AI model risk tiering methodology that accounts for autonomy, explainability, and data sensitivity. Includes a decision-tree framework and tier-specific oversight requirements.
A complete business impact analysis questionnaire template with 50 questions across 10 categories. Based on FFIEC, NIST SP 800-34, and ISO 22301 guidance.
ISO 22301 certification costs $15K-$60K+ depending on org size. Get realistic timelines, a month-by-month implementation roadmap, and tips to avoid common pitfalls.
ISO 22301 vs ISO 27001 compared side-by-side: scope, controls, certification process, and whether you need one, both, or neither.
The SEC secured final judgments against Titanium Capital LLC and founder Henry Abdo for a Ponzi scheme that defrauded 162 investors of $5.3 million. Here's what happened and what compliance teams should learn.
How to meet AI explainability requirements from the OCC, Fed, CFPB, and EU AI Act — with practical techniques for every model type.
AI impact assessments are now required under Colorado SB 205 and the EU AI Act. Learn who needs one, what to include, and how to build the process.
Map SR 11-7 and OCC 2011-12 documentation requirements to AI and ML models. Section-by-section template for model cards, training data provenance, and examiner-ready documentation.
Traditional model validation breaks down with AI. Learn the testing techniques — from adversarial red-teaming to drift detection — that actually work for ML and LLM models in financial services.
The SEC secured a final judgment against Kenneth Welsh, a former Wells Fargo advisor who misappropriated $2.86M+ from clients over five years through 137 fraudulent transactions.
Practical governance framework for agentic AI systems. Covers new risk categories, permission models, audit trails, and the human-on-the-loop debate for financial services.
SEC charged Tulsa college student Krish Kumar with misappropriating nearly $7M from two investment funds. Here's what compliance officers at investment advisers need to know.
Learn the essential AI bias testing methodologies for fair lending compliance—disparate impact analysis, counterfactual fairness, calibration testing, and more—before your next exam.
Learn how to prevent AI data leakage from LLMs in financial services. Covers the 5 leakage vectors, OWASP LLM top risks, NIST controls, and a 90-day implementation roadmap.
Build a generative AI acceptable use policy that actually works. Covers data classification rules, prohibited uses, tool approval workflows, and key regulatory anchors for financial services.
The SEC's final consent judgment against Commonwealth Financial Network for undisclosed revenue-sharing conflicts offers a critical compliance lesson: fiduciary duty means disclosing who pays you, fully.
How to build an AI incident response plan that covers model failures, hallucinations, bias events, and drift — with severity tiers, escalation paths, and containment controls.
Build an AI model inventory that survives regulatory exams. Covers SR 11-7 requirements, required fields, shadow AI discovery, and vendor model tracking.
How to detect, measure, and mitigate LLM hallucination risk in financial services — with real controls, metrics, and a regulatory-ready framework.
The SEC charged four individuals with fabricating documents to defraud investors in a $284 million municipal bond offering for a Mesa, Arizona sports complex. Here's what went wrong and what compliance teams can learn.
How financial institutions should build business continuity programs that satisfy OCC, FDIC, and Fed operational resilience expectations — with real enforcement examples and implementation guidance.
Colorado SB 205 takes effect June 30, 2026. Learn who's covered, what counts as a high-risk AI system, required impact assessments, consumer notices, and your compliance checklist.
ISO 22301 requirements explained clause by clause. Learn what the standard actually requires, how it maps to FFIEC, and whether certification is worth it.
The NIST AI RMF is in active revision as of 2026. Here's what's changing, what's staying stable, and what your AI risk program should do right now.
The SEC obtained a final judgment against Stuart Frost for extracting $14M in undisclosed incubator fees from VC fund investors. Key lessons for investment adviser compliance programs in 2026.
Shadow AI is spreading through financial services whether you know it or not. Here's how to detect it, assess the risk, and build a governance framework that actually works.
SR 11-7 was written for spreadsheet models, not LLMs. Here's how each pillar of the framework must adapt for AI/ML — and where traditional MRM breaks down completely.
Build a crisis communication plan that covers customers, regulators, employees, and partners — with pre-drafted templates, escalation timelines, and real-world lessons.
The SEC's final judgment against Ozy Media executives reveals a textbook investor fraud playbook—revenue inflation, fake business relationships, and impersonation. Here's what compliance teams must take away.
Step-by-step tabletop exercise template with facilitator guide, scenario injects, and 3 ready-to-use scenarios for business continuity testing.
Learn how to assess vendor business continuity plans, monitor third-party resilience, and meet FFIEC requirements for vendor BCP oversight.
Free business continuity plan template with the 8 sections every BCP needs. Step-by-step guide for financial services teams building or rebuilding their BCP.
Learn 5 types of business continuity testing, from checklist reviews to full-scale exercises, with practical guidance for financial institutions.
Business continuity vs disaster recovery explained — what each covers, where they overlap, and why treating DR as your whole continuity program is a regulatory red flag.
Step-by-step business impact analysis template and guide. Learn how to identify critical processes, map dependencies, and set RTO/RPO targets for your BCP.
Step-by-step disaster recovery plan template with recovery tiers, DR strategies, and testing schedules. Build a DRP aligned to your BIA and RTO/RPO targets.
A practical breakdown of the FFIEC BCM booklet requirements — governance, BIA, risk assessment, testing, and third-party resilience — with what examiners expect and common MRA triggers.
RTO vs RPO explained with practical guidance on setting recovery objectives, tiering critical functions, and avoiding the mistakes that turn outages into disasters.
The SEC's Legacy Cares case is a textbook municipal bond fraud—fabricated contracts, forged signatures, and a near-total investor wipeout. Here's what compliance practitioners need to know.
AI ethics and AI governance are not the same thing. Learn how ethics, governance, and model governance layer together — and why you need all three.
Build an effective AI governance committee with the right roles, a defensible charter, and a meeting cadence that actually works. Practical guide for financial services.
AI risk ownership is broken at most firms. Learn how to apply three lines of defense, assign accountability, and stop the 'everyone owns it' trap.
Scale AI governance across a large organization without killing innovation. Federated vs. centralized models, shadow AI controls, model inventories, and board reporting.
The SEC's Legacy Cares case shows how fabricated revenue documents collapsed a $284M municipal bond deal. Here's what compliance and risk teams need to know.
Build an AI compliance framework that survives regulatory exams. Model inventories, risk assessments, testing evidence, and documentation that proves you're compliant.
Build an AI governance policy that actually works. Covers scope, risk classification, approval workflows, monitoring, and exceptions — with section-by-section guidance.
Navigate the 2026 AI regulatory landscape — EU AI Act deadlines, state laws in Colorado, Illinois, and Texas, SEC enforcement priorities, and what compliance teams should do now.
Map the NIST AI Risk Management Framework against EU AI Act requirements. Build one AI governance program that satisfies both — with a practical crosswalk for financial services teams.
The SEC's enforcement action against Legacy Cares executives exposes how fabricated documents slipped past underwriters. Here's what compliance teams need to know.
Tactical AI governance best practices from financial services, healthcare, and insurance. Model inventories, tiered oversight, cross-functional committees, and documentation that survives exams.
Build an AI risk management framework that identifies, assesses, and mitigates real AI risks. Includes risk taxonomy, tiering model, and 90-day roadmap.
Map the NIST AI RMF's voluntary framework against the EU AI Act's mandatory requirements. Build one AI risk program that satisfies both.
Build a responsible AI framework that turns fairness, transparency, and accountability principles into operational controls. Includes bias testing, impact assessments, and 120-day roadmap.
The SEC obtained a final judgment against Bin Hao and Qidian LLC for a Ponzi scheme that targeted Chinese-American investors. Here's what compliance teams need to know about affinity fraud detection and controls.
Build an AI governance framework that actually works. 8 core components, maturity model, and 90-day implementation roadmap for risk practitioners.
Build a business continuity plan that survives regulatory exams. Step-by-step guide covering FFIEC requirements, BIA, RTO/RPO, testing, and common MRA findings.
A practical guide to implementing the NIST AI RMF across Govern, Map, Measure, and Manage — with actionable steps for financial services teams.
13 state AGs sued OneMain Financial for loan packing and junk fees on March 16, 2026. Here's what the case means for add-on product controls, fee disclosure, and state AG enforcement trends.
A practical guide to building an operational risk management framework — RCSA, KRIs, loss event tracking, and the ORM lifecycle for mid-size banks and fintechs.
The SEC obtained a final consent judgment ordering $106.5M in disgorgement against Ofer Abarbanel for orchestrating a mutual fund fraud scheme. Here's what happened and why it matters for fund compliance.
A new House bill would overhaul GLBA Title V and preempt state privacy laws for financial institutions. What practitioners need to know and do now.
Build a defensible incident response plan template for your fintech. Covers NIST phases, regulatory notification requirements, and what regulators actually check.
The FS AI RMF gives financial institutions 230 AI control objectives. A practical guide to prioritizing what matters and building your implementation roadmap.
New survey data shows most financial institutions can't identify vendor AI use. A practical vendor AI risk assessment guide with due diligence questions and implementation roadmap.
A comprehensive guide to identifying, assessing, and mitigating AI risks in regulated financial institutions—from model governance to third-party AI vendor oversight.