Timeline
Thales launches AI Security Fabric
Palantir renews French intelligence contract for three more years
Passkeys and password managers: A practical guide to logging in safely in 2026
Deepfakes and synthetic media: How to spot them, verify claims, and protect yourself
Prompt injection and AI security: how attackers trick chatbots, and how to defend systems
The modern scam playbook: the most common online fraud tactics and how to reduce risk
Google blocks IPIDEA via Play Protect
Russian-linked hackers deploy data-wiping malware in rare attack on Polish energy firm
RapidFort raises $42 million to expand automated vulnerability remediation platform
Microsoft updates Secure Development Lifecycle to tackle AI-specific threats
Meta expands anti-scam drive with fresh campaign featuring Neena Gupta
Microsoft backs FBI cybersecurity drive targeting basic security failures
Microsoft warns enterprises to treat AI agents like employees in new security report
Palo Alto Networks bolsters cyber-sec unit as it completes CyberArk acquisition
Google Cloud warns state-backed hackers are targeting Western defence suppliers
PurpleRidge launches Automated AWS account audit to find cyber-sec weakpoints
Palo Alto Networks launches managed security service with breach response guarantee
Microsoft pushes utilities to move AI from pilot projects to full-scale operations
CrowdStrike adds its security platform to Microsoft Marketplace for Azure customers
CrowdStrike report warns AI is accelerating cyber attacks and shrinking response windows
NVIDIA recruits five cybersecurity firms to protect critical infrastructure using AI run on its own chips
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Google's September 2026 spam update: what it is, who it hits and what Google is trying to fix
The latest Google spam update is the September 2026 spam update, which Google released at 09:15 US Pacific time on 24 September 2026 and which is still rolling out as of 28 September; it adds no new policy and does not target AI content as such, but it strengthens the automated systems that punish content made at scale to manipulate rankings.