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The New Threat Landscape: AI-Native Apps and Agentic Workflows
cybersecurity

The New Threat Landscape: AI-Native Apps and Agentic Workflows

As AI-native apps and agentic workflows expand the attack surface, new threats like prompt injection and data poisoning emerge. Learn why traditional AppSec falls short and how to secure your AI systems in this new threat landscape.

Blog RSS Feed | Snyk ·
Why ANZ Technology Leaders Are Rethinking How AI, Speed, and Security Intersect
cybersecurity

Why ANZ Technology Leaders Are Rethinking How AI, Speed, and Security Intersect

The pace of technological change is always fast, but with AI everywhere, things have gone into overdrive. In Australia and New Zealand, businesses plan to spend heavily on generative AI—about $15 million on average, more than the global average. This puts immense pressure on technology, security, and engineering leaders.

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Mitigating prompt injection attacks with a layered defense strategy
cybersecurity

Mitigating prompt injection attacks with a layered defense strategy

With the rise of generative AI, new threats, such as indirect prompt injections, are emerging. These attacks use external data sources to covertly manipulate AI systems. Google’s GenAI Security Team is addressing this risk with a comprehensive security strategy for its Gemini tool, which includes techniques like content classifiers, security thought reinforcement, and a user confirmation framework. These measures enhance defense against prompt injections and offer robust protection by requiring user interactions for certain actions while notifying them of potential threats. The ongoing collaboration with security researchers and rigorous testing further strengthens Gemini’s defenses against these evolving threats.

Google Online Security Blog ·
Finding Software Flaws Early in the Development Process Provides Clear ROI
cybersecurity

Finding Software Flaws Early in the Development Process Provides Clear ROI

The Consortium for Information and Software Quality estimated that the cost of poor software quality in the United States reached $2.41 trillion in 2022. As we will show, it makes sense that the cost of poor software quality is so high. It’s also completely avoidable, and software flaws must be avoided with the world’s increased dependency on software.

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