🎙️ CISOs, CIOs, Heads of Risk/Compliance, Data & AI teams.... If you’re shipping AI agents or LLM features this quarter, you will be asked three questions you must answer with evidence: ❓ Can a prompt or tool call exfiltrate sensitive data at runtime? ❓ Who can do what, how often, and at what cost & and can you stop it instantly? ❓ Where’s the audit trail? How Airia - Enterprise AI Simplified closes the gap (without changing your UI): 🛡️ Runtime policy & governance layer between agents and their tools/models 🔐 Agent Constraints: PII redaction, tool allowlists, rate/budget caps, approved model set 🧰 Least-privilege tool access, kill-switch & instant rollback 🧾 Full audit & replay wired to your SIEM (evidence) 📉 Routing & cost controls so unit economics improve as usage grows #CISO #CIO #Risk #Compliance #GenAI #SecurityEngineering #Governance #DORA #FCA #Fintech #Marketplace #AIOps

Governance in the agentic era looks less like day-to-day supervision and more like a board of directors model. Traditional AI governance relies on task-level approvals and periodic batch reports. Agentic AI demands something entirely different—strategic intent setting, real-time risk controls, and outcome-level stewardship. The challenge? Agents operate autonomously within defined guardrails, making decisions at machine speed. Leaders need continuous telemetry to spot drift before it compounds into systemic exposure. Real-time dashboards and automatic alerting replace those monthly compliance reviews. Risk management evolves from factory floor predictability to trading floor rules. Just as traders have real-time authority within defined parameters while firms maintain oversight, agents need defined risk thresholds they can operate within. Accountability never disappears—it redistributes. Clear ownership of data quality, guardrail configuration, and final business approval ensures root-cause analysis remains possible when outcomes deviate from plan. Context-aware guardrails and runtime data masking help ensure every autonomous decision stays inside regulatory and corporate policy lines. How are you rethinking governance structures to enable autonomous decision-making while maintaining control? #AIGovernance #TechLeadership #AgenticAI #AIRisk

Rethinking Audit Failures in the Age of AI Audit failures rarely happen because of fraud; they happen because of weak internal controls and missed red flags. That’s where AI-driven auditing changes the game. Forward-thinking organizations are enhancing their audit process through: ✔ Real-time anomaly detection ✔ Automated internal checks ✔ AI-powered accuracy and accountability At Tirsol, we empower businesses to strengthen every audit layer with intelligent automation, ensuring transparency, reliability, and confidence in every report. Transform the way you audit, smarter, stronger, and AI-secured. 🌐 www.tirsol.com #AIAudit #Automation #RiskManagement #InternalControls #Tirsol #AuditTransformation #DigitalFinance #AIinBusiness #DataIntegrity #FutureReadyAudits

In delegated authority, data control isn’t optional — it’s everything. Many solutions focus on faster ingestion or slick dashboards. Verodat focuses on something far more important: governance. Because without rules, context, and traceability, “faster” only means faster to risk. Verodat defines how data and AI interact — ensuring every record, validation, and transformation is explainable and auditable. 🧾 Row-level audit trails on every dataset ⚙️ Rule-based validation and contract logic enforcement 📈 Full supply visibility — see when data was last updated and by whom 🔐 SOC 2 & GDPR-aligned security from day one In an environment where governance equals confidence, Verodat makes compliance the backbone of automation. #DataGovernance #InsuranceInnovation #DelegatedAuthority #Bordereaux #InsurTech #Verodat #AuditReadyData #LondonMarket

Onspring AI Launches to Revolutionize GRC Workflows with Embedded Intelligence Onspring, a leading provider of integrated GRC software, today introduced Onspring AI, a new suite of embedded artificial intelligence features designed to help governance, risk, and compliance (GRC) teams manage increasing workloads more efficiently. Read More 👇 : https://shorturl.at/8NRU7 #Onspring #GRCWorkflows #Infotech

When your AI generates a report, your company faces a silent, unquantified liability: The Debt of Delegation. The true risk is not hallucination. It's the moment your C-Suite unconsciously hands over ethical accountability to a machine designed to prioritize speed over truth. We built the Chimera CIAT (Contextual Integrity Assurance Technology) system to make safe failure the only permissible option. The CIAT Difference: Structure Governs Mindset: The architecture is governed by the Architecture of Stillness. When a mandatory data artifact is missing (a TBL Mandate failure), the agent does not guess the future, >it halts the entire process and delivers a codified confession: >CRITICAL-TBL-FIN-001. The leader is then forced to engage with the Human Resolution Contract, making a deliberate, auditable choice: ❌ No More Blind Trust: You cannot simply dismiss the alert. ✅ Mandatory Accountability: You must provide the risk_acceptance_statement: explicitly signing off and repossessing the liability the machine refused to take. ✅ Adaptive Governance: You must then update the system with a future_prohibition_suggestion, instantly hardening the system against future failure. CIAT transforms your leaders into governance architects. We make integrity invisible within the architecture , auditable, and non-negotiable. Do you know which critical liabilities your AI is carrying for you right now? The blueprint for Chimera CIAT structural accountability, is in the file uploaded with the Article: The Debt of Delegation. #CIAT #AIGovernance #WorkflowArchitect #InvisibleIntegrity #ChimeraTeam

As AI keeps evolving and impacting the claims landscape for carriers, it’s becoming increasingly clear that not all AI-based solutions are delivering.   Check out this insightful thought piece by Bill Brower, MBA, SVP of Global Industry Relations and Claims Performance at Solera, where he highlights the important questions insurance leaders should be asking when evaluating AI-driven technologies. Drawing from his extensive industry experience, Bill outlines a concise summary of what can disrupt claims operations, risk compliance, and erode customer trust.   Read here: https://lnkd.in/gXSm_RYF   #ClaimsInnovation #ThoughtLeadership #AIpowered #Insurtech

We just shipped major enhancements to Oreno’s AI Governance module — Version 2.0 Key wins: production approval gating (Model Risk Assessments), stronger PII masking & retention, KMS/HSM-backed encryption, improved provenance for third-party models (vendor / license / SBOM), and CI/CD gating for fairness & robustness checks. These updates close critical audit gaps and make it practical to govern high-risk models at scale. If you’re building or governing AI in regulated environments, this release is built for real-world assurance — faster evidence collection, stricter promotion controls, and clearer audit trails. Interested in a demo or the one-page audit checklist? Reach out: info@oreno.tech #AIGovernance #GRC #AICompliance #MLOps #DataPrivacy

Proud to share a major milestone: Oreno AI Governance v2.0 is live. We focused on turning policy into enforceable controls—not just paperwork. Highlights: • Production approval gating via Model Risk Assessments (blocks promotion until approved) • Mandatory third-party provenance (vendor / license / SBOM) for external models • KMS/HSM-first encryption + key rotation guidance (no plaintext keys) • Stronger PII masking & retention rules for audit readiness • CI/CD gates to stop promotion when fairness/robustness thresholds fail If you manage models in production and want practical controls you can plug into existing pipelines, I can share the migration snippets and a one-page audit checklist. Ping me. — info@oreno.tech #RiskManagement #MLOps #AICompliance #Django #AIGovernance #GRC #AICompliance #MLOps #DataPrivacy

𝐍𝐚𝐫𝐜𝐨𝐭𝐢𝐜𝐬 𝐈𝐧𝐯𝐞𝐬𝐭𝐢𝐠𝐚𝐭𝐢𝐨𝐧 𝐒𝐮𝐩𝐩𝐨𝐫𝐭 𝐀𝐠𝐞𝐧𝐭: 𝐒𝐦𝐚𝐫𝐭𝐞𝐫 𝐍𝐃𝐏𝐒 𝐂𝐚𝐬𝐞𝐰𝐨𝐫𝐤 𝐰𝐢𝐭𝐡 𝐀𝐈 At Quadrant Technologies, we have developed an AI-powered intelligence agent designed specifically for narcotics investigations under the NDPS Act. It streamlines complex, manual case preparation into an accurate and efficient process. NDPS enforcement teams often face challenges like procedural complexity, documentation accuracy, and compliance with stringent legal requirements. Our AI assistant automates access to NDPS laws, workflows, and protocols—delivering real-time, context-aware guidance to officers. 𝐀𝐠𝐞𝐧𝐭 𝐂𝐚𝐩𝐚𝐛𝐢𝐥𝐢𝐭𝐢𝐞𝐬: 𝐀𝐮𝐭𝐨𝐦𝐚𝐭𝐞𝐝 𝐃𝐨𝐜𝐮𝐦𝐞𝐧𝐭 𝐏𝐫𝐨𝐜𝐞𝐬𝐬𝐢𝐧𝐠: Analyzes NDPS provisions, legal content, and case documents. ▪️ 𝐈𝐧𝐬𝐢𝐠𝐡𝐭 𝐄𝐱𝐭𝐫𝐚𝐜𝐭𝐢𝐨𝐧: Identifies key procedural and legal requirements for compliant case preparation. ▪️ 𝐂𝐨𝐧𝐭𝐞𝐱𝐭-𝐀𝐰𝐚𝐫𝐞 𝐑𝐞𝐬𝐩𝐨𝐧𝐬𝐞𝐬: Delivers accurate, real-time answers to officer queries. ▪️ 𝐖𝐨𝐫𝐤𝐟𝐥𝐨𝐰 𝐆𝐮𝐢𝐝𝐚𝐧𝐜𝐞: Provides step-by-step investigative support and best practices. ▪️ 𝐒𝐞𝐜𝐮𝐫𝐞 𝐌𝐮𝐥𝐭𝐢-𝐃𝐞𝐯𝐢𝐜𝐞 𝐀𝐜𝐜𝐞𝐬𝐬: Enables safe, compliant use anytime, anywhere. 𝐁𝐞𝐧𝐞𝐟𝐢𝐭𝐬: ▪️ Quick access to NDPS procedures, legal provisions, and templates. ▪️ Improves decision-making accuracy by up to 60%. ▪️ Increases FIR and documentation accuracy by 30% . Enhances speed, accuracy, and compliance through intelligent automation. Know More: https://lnkd.in/dX5f6w4h Vamshi Reddy | Bhaskar Gangipamula | Ram Paluri, MBA, | Kaivalya Hanswadkar | Siva Prasad Polepally | Balaji Raju Digala | Srikanth Oddiraju| Ravi Rajuladevi | Manikyam Thukkapuram | Prasanth Venkata Satya Tammiraju| Sunil Gundrathi | Balu Kuncham | Ravi Sankar | Siva Krishna Varma Gajarla | Pradipta Sadhukhan | Sreeraj Venkitaramanan | Stuti Singh | Venu Gopal | Amarendher Accha #QuadrantTechnologies #LawEnforcementAI #DigitalTransformation #IntelligentAutomation #AIinJustice #SmartGovernance #ComplianceAutomation