Cybersecurity in the Era of AI

Cybersecurity is rapidly evolving, shaped by artificial intelligence (AI) and the emergent potential of Quantum Computing.AI enhances security through automated detection and analysis, swiftly processing vast amounts of data to spot and predict threats, and Quantum Computing holds the promise to revolutionize various industries by offering unparalleled computational speed and efficiency, enabling it to tackle complex problems far beyond the reach of classical computers.Yet, these benefits also come with risks: AI's capabilities can be exploited for advanced phishing, vulnerability discovery, and creating adaptive malware, complicating the cybersecurity landscape, while Quantum Computing further challenges digital security by threatening to undermine traditional encryption, making existing protections potentially obsolete.This session will explore the mixed impact of AI and Quantum Computing on Cybersecurity, highlighting both the advancements and vulnerabilities they introduce. We'll discuss current threats like supply chain attacks and ransomware, alongside the integration of Privacy Enhancing Technologies (PETs) with AI and quantum defenses, offering a strategic viewpoint on safeguarding against the future of cyber threats.

Ref: https://www.youtube.com/watch?v=C9IgEfYCwFo&list=PL03Lrmd9CiGey6VY_mGu_N8uI10FrTtXZ&index=46

Denne episoden er hentet fra en åpen RSS-feed og er ikke publisert av Podme. Den kan derfor inneholde annonser.

Episoder(151)

AI Model vs Agentic Harness

AI models alone aren’t what makes systems powerful. Martin Keen explains the difference between AI models and agentic harness components like tools, memory, and loops. Learn how generative AI agents w...

28 Sep 20min

Harnesses in AI: A Deep Dive

The agent hit a login page, panicked, reported success anyway, and the upvote never happened. Tejas Kumar's diagnosis: not a prompt problem. A harness problem.The demo builds a browser agent on GPT-3....

21 Sep 21min

How Harness Engineering Creates AI Agents

Most developers have heard of prompt engineering. Many know about context engineering and RAG. But the real frontier in AI today is harness engineering — the structured environment that transforms an ...

14 Sep 20min

Harness Engineering Fixes AI Digital Amnesia

Agent harnessing and harness engineering is a growing topic - and yet the term requires more clarification on what it is and why agentic systems evolved the way it did to where we are today.

8 Sep 23min

Llama.cpp vs vLLM

Choosing a local LLM engine can make or break performance. Cedric Clyburn breaks down Llama.cpp versus vLLM for real‑world local inference. Learn which tool fits personal hardware, production scale, a...

2 Sep 25min

AI in the SDLC

AI promises speed, but where are the real gains? Cedric Clyburn breaks down why productivity stalls across the software development lifecycle despite faster coding. Learn how redesigning SDLC workflow...

25 Aug 21min

What is OpenClaw?

We've all been using AI chatbots, but AI agents can now move from knowing to doing. Cedric Clyburn breaks down how AI agents, LLMs, tools, and the agentic loop enable real autonomous workflows. Learn ...

19 Aug 23min

The 7 Skills You Need to Build AI Agents

As AI agents become more capable, the skills needed for AI jobs are shifting. Bri Kopecki breaks down the 7 skills you need to move from prompt engineering to full agent engineering, including system ...

11 Aug 19min