A defined sequence of steps or rules to solve a problem or perform a computation.
The ability of intelligent systems to remain robust, secure and adaptable.
The capability of machines to learn from data, reason through complex problems, and support automation.
AI systems that can autonomously manage complex tasks and workflows.
A method of authentication that adds a second verification step.
A managed cloud environment.
A cybersecurity model that enforces continuous verification of users and devices.
Autonomous systems that use artificial intelligence
Ransomware is at an all-time high, and it will only get worse in 2025. To help organizations prepare for the new-year onslaught, cloud architect Joey D'Antoni shared his hard-won expertise, starting with the basics.
Five online systems generate surprisingly similar predictions around multimodal, agents and the usual suspects.
Paul Schnackenburg dives deep into how Microsoft Purview has prioritized data governance and security features to address the challenges of oversharing and lax permissions exposed by M365 Copilot.
- By Paul Schnackenburg
- 12/17/2024
Guidance abounds about cloud security -- apparently with little effect judging by the current state of ransomware and other attacks -- but sometimes the best advice from experts straight from the front lines is best presented in easily digestible chunks.
Data security specialist Rubrik is speeding up the threat hunting process in its software by allowing for quicker recoveries in the familiar backup & recovery process.
Since the dawn of advanced generative AI the new tech has been used by both threat actors and security defenders, with a new survey examining that double-edged security sword and finding many execs predict more cybersecurity issues.
"By 2027, AI assistants and AI-enhanced workflows incorporated into data integration tools will reduce manual intervention by 60 percent and enable self-service data management."
To help organizations get ready, our AI expert Brien Posey weighed in with his views on the top AI trends going into 2025, seeing the transformative technology getting a huge boost from multimodal capabilities along with smaller more targeted LLMs and autonomous agents able to do things on their own.
Security is paramount to both proprietary and open-source AI approaches in these days of rampant ransomware and other cybersecurity exploits, and here the open-source movement might be susceptible to some inherent drawbacks, such as use of possibly insecure code from unknown sources.
Follow the money, they say, and the money says vertical AI agents are the future.
Expert guidance abounds for enterprises to protect themselves against ransomware, phishing and other cyberattacks, but sometimes that advice is more effective when dispensed with real-world examples for specific scenarios.