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Latest coverage for Artificial Intelligence

Explore the intersection of AI and cybersecurity. Stay informed on AI-driven security trends, tools, and threats in the ever-evolving digital landscape.

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Artificial intelligence (AI) describes computer systems that perform tasks such as recognizing patterns, making predictions, understanding language, or generating content. In security reporting, the term commonly includes machine-learning models used for detection and analysis, as well as generative AI applications that produce text, code, images, or other outputs.

AI can help analyze security telemetry, prioritize vulnerabilities, and support investigations, but its outputs can be wrong or manipulated. Important attack surfaces include prompt injection that steers an application into unintended actions, sensitive data being exposed through prompts or model outputs, and excessive permissions granted to AI systems that use external tools. Models can also be degraded by poisoned training data or evaded with carefully crafted inputs. Practitioners should protect training and operational data, limit model access and tool permissions, test for adversarial behavior, and require appropriate human validation before high-impact decisions.

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Bank Info Security 7 months, 2 weeks ago

OpenAI Suspends Mixpanel Use After Analytics Data Breach

ChatGPT Maker Probes Third-Party Data Breach; OpenAI API Users' Information ExposedOpenAI has temporarily ceased use of Mixpanel after the analytics firm disclosed a breach affecting profile data of the artificial intelligence giant's API platform users. The company is notifying impacted organizations and watching for signs of data misuse.

Bank Info Security 7 months, 2 weeks ago

ISMG Editors: India's Data Protection Rules Get More Teeth

Also: Prompt Injection Complicates Digital Forensics, Why AI Seems So DeceptiveIn this week's ISMG Editors' Panel, four editors unpacked India's new data protection rules, the digital forensic implications of prompt injection attacks and the reasons why artificial intelligence tools so often seem to display deceptive behavior.

Bank Info Security 7 months, 3 weeks ago

Platform-Based Security for AI at Scale

Google Cloud and Palo Alto Networks on Scaling AI With Unified ProtectionAs organizations build AI-enabled applications across complex cloud ecosystems, many face challenges in securing those deployments. A platform-based approach can help protect the full life cycle of AI, from data ingestion to model runtime, while reducing fragmentation and complexity.

Bank Info Security 7 months, 3 weeks ago

Automating Compliance to Boost Security and ROI

RegScale's Dale Hoak on How Automating Telemetry Data, AI Improves ResilienceCompliance automation is evolving from a checkbox task to a strategic asset. RegScale's Dale Hoak said teams that automate controls and evidence collection not only strengthen security but also cut costs, enhance agility and gain real-time visibility across the risk and compliance landscape.

Bank Info Security 7 months, 3 weeks ago

Unifying Cloud Strategy to Unlock AI Potential

Talcott Financial Group's Dalavi on Oracle to Azure Migration and AI InnovationTalcott Financial Group's move from a dual-cloud setup to a unified Azure environment is reshaping performance, efficiency and AI readiness, says Sudhakar Dalavi, head of software engineering. He explains how data unification and continuous learning drive the next phase of innovation.

The U.S. Federal Bureau of Investigation (FBI) has warned that cybercriminals are impersonating financial institutions with an aim to steal money or sensitive information to facilitate account takeover (ATO) fraud schemes

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