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LLM Prompt Injection 101

Prompt injection attacks exploit vulnerabilities in natural language processing (NLP) models by manipulating the input to influence the model’s behavior. Common prompt injection attack patterns include: 1. Direct Command Injection: Crafting inputs that directly give the model a command, attempting to hijack the intended instruction. 2. Instruction Reversal: Adding instructions that tell the model to ignore or reverse previous commands. 3.

AI Grant Writing: Revolutionize Your Funding Strategy with AI

Are you facing a problem to get grants for your organization? The evolving maze of grant writing is increasingly getting all uphill with the pressure, rigid requirements, and humongous competition in the mad scramble to get grants. But think of it this way: if the process were streamlined enough to provide more chances for winning and at least a little bit of competitive advantage, then AI-powered grant writing is the game-changing tool assisting you in re-inventing your approach to winning funding.

Governing the Future: Federal Cybersecurity in the Age of Edge and AI

Intel's CTO on Navigating Cybersecurity, AI, and the Edge Governing the Future: Federal Cybersecurity in the Age of Edge and AI In this episode of the "Trusted Tech for Critical Missions" podcast, host Ben Arent interviews Steve Orrin, Chief Technology Officer at Intel Federal, about the evolving landscape of federal cybersecurity in the age of edge computing and artificial intelligence. Key Takeaways.

CrowdStrike + Fortinet: Unifying AI-Native Endpoint and Next-Gen Firewall Protection

In today’s fast-evolving cybersecurity landscape, organizations face an increasing barrage of sophisticated threats targeting endpoints, networks and every layer in between. CrowdStrike and Fortinet have formed a powerful partnership to deliver industry-leading protection from endpoint to firewall.

LLM Guardrails: Secure and Accurate AI Deployment

Deploying large language models (LLMs) securely and accurately is crucial in today’s AI deployment landscape. As generative AI technologies evolve, ensuring their safe use is more important than ever. LLM guardrails are essential mechanisms designed to maintain the safety, accuracy, and ethical integrity of these models. They prevent issues like misinformation, bias, and unintended outputs.