Generative AI (GenAI) is revolutionizing DevOps by automating manual tasks, enhancing productivity, and reducing errors. By integrating GenAI, teams can streamline workflows and democratize expert knowledge. However, managing risks such as data privacy and AI-generated errors remains critical.
Before You Go Agentic: Top Guardrails to Safely Deploy AI Agents in Observability
Observability platforms are evolving from passive monitors to active participants. Agentic AI promises a self-healing infrastructure that detects anomalies and fixes issues before users notice, reducing resolution time from hours […]
HoundDog.ai Code Scanner Shifts Data Privacy Responsibility Left
HoundDog.ai today made generally available a namesake static code scanner that enables security and privacy teams to enforce guardrails on sensitive data embedded in large language model (LLM) prompts or […]
Android Apps Must Let Users Delete Data ¦ RISC-V in the Data Center
In this week’s #TheLongView: Google forces apps to make deleting users’ data easier, and the RISC-V drumbeat grows louder.
EU Data Privacy: Try Again | SkyPilot: Choose Cheapest Cloud | WFH: Better Meetings
In this week’s The Long View: EU-U.S. Data Privacy Framework reemerges, Berkeley brings cloud selection box, and proof that remote work is good work.
Guide to Privacy Management for Developers
Privacy has taken on an unprecedented level of importance in 2022, primarily online privacy. There are multiple reasons behind this increase. The primary one is that users online are now […]
Corporate Assets
Does Your Organization Need a Data Diet?
The scenario is all-too-familiar: There’s a security breach, and afterward, the affected organization asks what it must do to better protect its data. But what if that organization never collected […]
Managing Data Risk in 2021
You can’t protect your data if you don’t know where it is stored. The first thing to consider when creating a risk-based approach to data protection is the ability to […]
Positioning Compliance as a Differentiator
As the threat landscape has become more perilous and complex, regulators have imposed a wide array of mandates designed to protect sensitive personal information. For most organizations, compliance is seen […]
