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Cyberrisk Management Tips for Businesses Amid the Russia-Ukraine War

Risk Management Monitor

Attacks attributed to Russia have been launched against a range of targets in Ukraine, including new destructive malware campaigns , targeted information-gathering against a range of civilian and government targets, and attacks on critical infrastructure. Evaluate and if possible, test your business continuity plans.

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Strategies for Digital Risk Protection

Reciprocity

Hence cybersecurity risk management is crucial to prevent and mitigate cyber threats. Digital risk protection (DRP) refers to cybersecurity measures that aim to prevent data breaches, malware, identity theft, and other forms of cyber crime. Which areas in your systems and networks expose you to attack or malware? Mitigation.

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Phil Venables: AI in Cybersecurity - Threats, Toil, and Talent

FS-ISAC

Threats: Google is using LLMs, AI and GenAI to analyze, monitor and manage threats, like analyzing new malware discovered via Google’s VirusTotal service and using Sec-PaLM 2 LLM to decode and provide threat advice. Key Use Cases of AI in Cybersecurity There are 3 areas – Threats, Toil and Talent.

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Risk Assessment vs Risk Analysis

Reciprocity

A risk analysis is conducted for each identified risk, and security controls are pinpointed to mitigate or avoid these threats. Implement controls and risk response plans to prevent and mitigate risk. You can use mitigations or controls to reduce a risk’s potential impact, velocity, and severity scores.

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Zero-Days Are Here to Stay: Here's How You Can Prepare

FS-ISAC

For financial services organizations, the stakes are even higher because they deal directly with people’s livelihoods and are amongst the most targeted industries– and breaches can have far-reaching financial, reputational, and regulatory implications. That doesn’t mean that nothing can be done or that hope is lost.

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Data Privacy Week 2024: The Definitive Roundup of Expert Quotes

Solutions Review

This is likely to impact industries where transparency matters, such as healthcare, financial services, and insurance. Investing in systems and processes that grant you this visibility and training will help position generative AI as an aid for productivity in the workplace, and help mitigate data privacy concerns.

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Data Privacy Awareness Month 2024: Roundup of Expert Quotes

Solutions Review

This is likely to impact industries where transparency matters, such as healthcare, financial services, and insurance. Investing in systems and processes that grant you this visibility and training will help position generative AI as an aid for productivity in the workplace, and help mitigate data privacy concerns.