Artificial intelligence is raising the stakes of cyber conflict as attackers use the technology to accelerate reconnaissance, uncover vulnerabilities, and launch attacks faster than many security teams can respond.
AI security is entering a new stage as organizations look beyond protecting models from prompt injection, unauthorized access, and data exposure.
Security researchers at Group-IB have uncovered a Windows malware strain that turns Microsoft 365 calendars into covert channels for receiving commands and stealing files from targeted organizations.
While cybersecurity teams have invested heavily in e-mail protection, endpoint security, and identity controls, new research from Fortra suggests one challenge remains difficult to solve: users.
Threat researchers at cloud security firm Sysdig have disclosed what they describe as the first documented ransomware operation carried out end-to-end by an autonomous AI agent, with no human typing commands or directing individual steps once the attack was underway.
Despite years of investment in cybersecurity technologies, many enterprise breaches still begin with familiar weaknesses, according to a new report from SonicWall.
Microsoft is speeding up its quantum-safe security timeline, saying advances in quantum computing and new federal requirements have pushed post-quantum cryptography from a future planning issue into an immediate engineering priority.
For decades, one of cybersecurity's most difficult challenges has been finding vulnerabilities before attackers do. A growing number of security professionals now say artificial intelligence is changing that equation, shifting the focus from discovering flaws to fixing them quickly enough to prevent exploitation.
Internet2's Research Engagement Team brings CIOs and other campus technology leadership together with research computing and data facilitators, forming a community that enables research cyberinfrastructure at institutions of all types and sizes.
AI agents are already in use or pilot at most organizations, but data visibility, governance and precision recovery capabilities have not kept pace, according to Veeam's new Data & AI Trust Gap report.