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Ai SecurityFinancial ServicesArtificial IntelligenceRegulatory ComplianceLlm SecurityProduct SecuritySoftware Supply ChainCyber SecurityCybersecevalMachine Learning
Cover for What Is Product Security? A UK Guide to ProdSec
Product SecuritySoftware Supply ChainRegulatory Compliance

16 Sept 2026

What Is Product Security? A UK Guide to ProdSec

Product security (ProdSec) protects a product across its whole lifecycle, design, build, supply chain and support. A practical UK guide.

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Cover for AI Cybersecurity for Fintechs: How AI Is Used and How to Secure It
Ai SecurityFinancial ServicesArtificial Intelligence

16 Sept 2026

AI Cybersecurity for Fintechs: How AI Is Used and How to Secure It

Fintechs use AI for fraud detection, alert triage and automation and attackers use it against them. What the FCA expects and the controls that actually reduce risk.

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Cover for NIS2 vs NIST vs CIS vs DORA: A Guide for Financial Services
Financial ServicesRegulatory ComplianceCyber Security

16 Sept 2026

NIS2 vs NIST vs CIS vs DORA: A Guide for Financial Services

NIS2, DORA, NIST CSF 2.0 and CIS Controls v8.1 are often treated as rivals. In practice they answer different questions. A mapping guide for UK financial services firms.

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Cover for What Is AI Security? A Practical Guide to Securing AI Systems
Ai SecurityLlm SecurityArtificial Intelligence

16 Sept 2026

What Is AI Security? A Practical Guide to Securing AI Systems

AI security protects the AI systems you run and defends against attackers using AI against you. Risks, controls, and the UK standards that apply in 2026.

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Cover for CyberSecEval 2 Explained: Meta's LLM Security Benchmark
CybersecevalLlm SecurityAi Security

31 May 2024

CyberSecEval 2 Explained: Meta's LLM Security Benchmark

How CyberSecEval 2 scores LLM security risk, GPT-4, Llama 3, the arXiv 2404.13161 benchmarks explained, and what the results mean for your AI stack.

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Cover for Cyber Security for Machine Learning in Financial Services
Machine LearningArtificial IntelligenceFinancial Services

13 Dec 2023

Cyber Security for Machine Learning in Financial Services

How financial services firms can secure machine learning: data privacy, model attacks, explainability and monitoring controls.

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