As AI models get smarter, state-backed hacking will too.

Introduction: The Jaguar Land Rover (JLR) cyber incident stands as a stark monument to a modern security paradox: the most devastating attacks often bypass complex technological defenses entirely. This was not a sophisticated zero-day exploit but a masterclass in social engineering that led to an estimated £1.9 billion in damages, crippling production and supply chains. It serves as a critical case study for every organization, proving that human vulnerability is the most lucrative attack surface and that cybersecurity is fundamentally about business continuity.

Introduction: The concept of predictive security, reminiscent of "Minority Report," has long been a cybersecurity dream. While we are far from precrime units for cyber threats, a new paradigm is emerging where Artificial Intelligence (AI) can be trained to anticipate and defend against attacks not through theoretical models, but through practical, hands-on experience in simulated environments. Tools like the Cybersecurity Learning Environment (CSLE) are turning this concept into a reality by immersing AI agents in the chaotic, unpredictable reality of a live network, allowing them to learn from simulated incidents just as a human Security Operations Center (SOC) analyst would.

The company claimed in a blog post this was the "first reported AI-orchestrated cyber espionage campaign".

Introduction, Why an Ancient Command Still Matters For most people working in cybersecurity, the idea that an old UNIX-era command could ignite a modern attack chain feels almost absurd. Yet this is exactly what is happening with ClickFix-style intrusions, where finger.exe resurfaces as a stealthy tool for remote script retrieval. The command, quietly bundled inside Windows for years, has suddenly become a talking point again for threat hunters and analysts who are watching attackers revive “dead” utilities in order to sidestep today’s security controls.

Introduction: In an era of sophisticated cyber-attacks, technical controls alone are insufficient. The most critical vulnerability in any organization is often a stagnant skillset. Adopting a continuous learning mindset, particularly by engaging with diverse perspectives outside one's immediate field, is not just a career development strategy—it's a fundamental component of a robust cybersecurity posture. Learning Objectives: Understand why cross-disciplinary learning is critical for anticipating novel cyber threats.

Partner Emmanuèle Lutfalla and Associate Louis Fer discuss the surge in cyber attacks in the insurance sector.

Households expected to be told to keep sum of cash in case of power outages or cyber attacks  The Journal‘Keep small stash of cash at home for use

Anthropic reports AI-led cyberattack using Claude tool, targeting 30 firms. Attackers used jailbreaks; AI did 90% of the work with minimal human input.

Anthropic reports AI-led cyberattack using Claude tool, targeting 30 firms. Attackers used jailbreaks; AI did 90% of the work with minimal human input.

Introduction: In today's digital landscape, cyber threats have evolved from obvious malware attacks to subtle, personalized manipulations that exploit trust and familiarity. James W.'s analogy of Miku the dog's Squishmallow theft perfectly illustrates how modern scams operate—blending into normal interactions while systematically extracting valuable data. This shift toward psychologically-aware attacks, powered by AI and targeting our digital exhaust, requires a fundamental rethinking of personal and organizational security postures.

Households expected to be told to keep sum of cash in case of power outages or cyber attacks  The Journal‘Keep small stash of cash at home for use

Households expected to be told to keep sum of cash in case of power outages or cyber attacks  The Journal‘Keep small stash of cash at home for use