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

FS-ISAC

Key Use Cases of AI in Cybersecurity There are 3 areas – Threats, Toil and Talent. 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.

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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

So it is for houses and buildings – and the same principle is just as true for cybersecurity. Hence cybersecurity risk management is crucial to prevent and mitigate cyber threats. DRP is the active piece of the cybersecurity puzzle, and is an imperative for every organization. What is Digital Risk Protection?

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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. Security risk assessments are essential not just for cybersecurity but also for regulatory compliance. Implement controls and risk response plans to prevent and mitigate risk. Quality risk.

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

FS-ISAC

More than six months since Log4j made the headlines, the threat of zero-day exploits, or previously unknown vulnerabilities, looms large over the heads of business leaders and cybersecurity teams. In an already strained and competitive cybersecurity hiring landscape, people should be priority number one. Working the Muscle.

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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.