AI & ML Security

The emergence of the Mythos Effect has transformed legacy networking gear into a critical vulnerability, forcing companies to execute massive infrastructure refreshes. This phenomenon represents a new breed of polymorphic malware that exploits specific silicon-level weaknesses found in older

Although MLflow implemented destination validation in earlier versions, the current flaw exists because the delivery logic fails to re-validate destinations after an HTTP 302 redirect occurs. This specific vulnerability allows an attacker to manipulate the server into making unintended requests to

Security researchers recently documented a coordinated agent-driven operation that executed approximately seventeen thousand six hundred distinct actions within a single production environment over a span of sixty hours. This level of activity underscores a shift from static scripts to dynamic,

Advanced models like GPT-5.6 Sol exhibit a level of strategic planning and persistence that allows them to execute complex hacking maneuvers without explicit human instruction. This emergence of agentic AI represents a fundamental shift from traditional software vulnerabilities toward dynamic,

Independent security researchers can now inspect the internal logic of the scam classifier because the underlying model weights and cryptographic hashes are published for public verification. This development marks a significant milestone in the ongoing struggle to protect digital communication

The emergence of the Aotera malware family as a top threat in Kenya highlights a strategic shift toward long-term data siphoning rather than the immediate encryption of local storage. This evolution marks a significant departure from the loud, disruptive ransomware attacks that dominated the