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Application Impact Analysis Mandate for Resilience in 2025. Application impact analysis: a risk-based approach to business continuity and disaster recovery has suddenly become a highly relevant reference architecture because the failure pattern has changed. Business Continuity and Disaster Recovery used to fail loudly—a system went down, everyone noticed, and you rallied. However, in 2025, systems can stay online while outcomes go wrong. As AI agents and automation accelerate decisions, silent failures now create the biggest risk: wrong approvals, wrong payments, wrong triage, and wrong compliance calls—often fueled by poor data quality, broken integrations, and unseen dependency chains. Consequently, “restoring systems” is no longer the finish line. Leaders must restore correct outcomes, protect decision integrity, and prove accountability across applications, data pipelines, and AI-driven workflows. High-level AIA process (1–7) Scope the key applications and mission-critical services Define outcomes and assign an Intent Owner Tier criticality (what must recover first) Map dependencies (apps, data, integrations, AI) Quantify impact (downtime cost + wrong-outcome cost) Set targets (RTO/RPO + recovery order) Validate + operationalize (scenarios, controls, runbooks)

Application Impact Analysis Mandate

Application Impact Analysis Mandate (AIA) calls for a resilience framework leaders need in 2025, when AI agents and complex dependencies make “uptime” an incomplete measure of safety. This guide explains AIA, compares it to BIA, and delivers a 30-day executive sprint plan to prevent silent failure

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Agentic AI security revolution is reshaping cybersecurity. With cyberattacks increasing by 67% in the last five years, AI-driven automation is crucial for defending machine identities, data security, and third-party risks. Discover why investors and security leaders must act now.

Agentic AI Security Revolution

Agentic AI security revolution is advancing at an unprecedented pace, fueled by increasing cyber threats and the growing adoption of autonomous AI agents. Cyberattacks surged by 23% in 2024, with healthcare remaining a top target. Meanwhile, the FBI has intensified its cybersecurity efforts, leveraging partnerships and

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