Japan has launched a cybersecurity task force in response to alarming risks posed by AI models like Anthropic’s Mythos, which have uncovered thousands of vulnerabilities in critical financial systems.
Locked Shields 2026 brought together more than 4,000 participants from 41 nations in a high-stakes cyber defense simulation. Teams faced AI-driven attacks, disinformation campaigns, and the challenge of protecting critical infrastructure, setting new standards for international cyber resilience.
Attackers exploited a critical SSRF flaw in LMDeploy’s vision-language module within 12 hours of public disclosure, targeting cloud metadata and internal databases. This rapid breach signals a new era of AI infrastructure threats.
Anthropic’s Mythos isn’t just another AI breakthrough—it’s a game-changer for cyber risk. With the power to autonomously discover and exploit vulnerabilities, Mythos signals a new era where cyberattacks can unfold at machine speed, forcing businesses and governments to rethink resilience and AI governance.
The NCSC warns that the UK's cyber resilience is falling behind as AI-driven attacks escalate, urging leaders to prioritize preparation and recovery planning over mere prevention.
The CERT-EU Cyber Threat Intelligence Framework arrives as organizations struggle to turn massive cyber data into decisions. With AI amplifying both threats and defenses, this new model promises clarity and action in the age of digital chaos.
#AI Threats | #CERT-EU Framework | #Cybersecurity Governance
Sophos CISO Ross McKerchar reveals the real pressures behind cybersecurity leadership: from the relentless fight against AI-powered attacks and burnout, to walking the legal line in defending against state-sponsored hackers, and confronting a growing crisis of trust in security products themselves.
Threat modeling has become the linchpin of cyber defense in 2026, evolving alongside AI-powered threats, new regulations, and a rapidly changing attack landscape. Here’s how organizations are adapting—and why no one can afford to ignore it.
A sweeping analysis of over one billion vulnerability remediation records reveals why human-led cybersecurity is failing against AI-driven adversaries—and what must change before it’s too late.
Cybercriminals are exploiting vulnerabilities faster than ever in 2025, leaving defenders scrambling. From weaponized flaws and identity attacks to AI-driven threats and geopolitical escalation, the cyber arms race is accelerating—and only the swift will survive.