AI is code – and can't be prompted into being smarter
6 hours ago
- #Cybersecurity
- #Technology Trends
- #AI Developments
- Everpure's consumption-based model offers flexibility, efficiency, and predictability in uncertain markets.
- LLMs are enabling more sophisticated API attacks on interconnected, over-permissioned applications.
- Enterprise data services for Kubernetes aim to eliminate silos and standardize cloud-native platforms.
- Behavioral AI security can catch advanced attacks missed by Microsoft 365's native filters.
- A virtual cyber recovery simulation allows IT pros to practice responding to ransomware breaches.
- Zero Trust models need adaptation for non-human identities in the Agentic AI era.
- Scaling AI from pilot to production unlocks real ROI through adoption.
- AI systems like bots can ingest unreliable data, as seen in hallucinations in reports.
- Security threats include phishing via fake Signal support and zero-day attacks on SharePoint.
- DEF CON expands to include critical infrastructure hardening through hacker initiatives.
- Open-source projects like LocalSend provide AirDrop-like functionality without vendor lock-in.
- The history of CentOS shows how community efforts created a default enterprise OS.