The problem: Cyber security has a complex landscape that is not easy to handle or even assess all the risks.
The solution, of course, is not some kind of magic wand or silver bullet in the form of software or something like that, but the practice of constantly accumulating up-to-date knowledge and the best industry solutions, tools and practices. But latest AI advances can help, dramatically..
Following, some snapshot of what’s going on in cybersecurity when new age of AI come in.
At its core, Microsoft Security Copilot serves as an intelligent assistant that can address a wide range of security-related concerns, from basic inquiries to intricate technical questions. By integrating various Microsoft technologies into one user-friendly platform, Security Copilot not only empowers defenders in the cybersecurity realm but also has the potential to become a game-changing resource in combatting modern cyber threats. Whether it’s providing insights on vulnerability management or offering guidance on incident response strategies, Microsoft Security Copilot enhances both efficiency and effectiveness for security professionals in today’s rapidly evolving digital landscape.
By harnessing cutting-edge GPT-4 technology and Microsoft’s extensive threat intelligence database, this essential chatbot becomes a reliable assistant in the battle against cybercrime. Join us as we explore what Microsoft Security Copilot is, the importance of Microsoft Security Copilot in Cyber Security, and How Microsoft Security Copilot is useful for security professionals in this blog post. [link]
What cybersecurity copilot can do?
- Cybersecurity threats analysis in natural languages // thanks to LLMs/NLP
- Multimodal analysis // data, code, docs, texts, images, videos, etc..
- Educate and support // keep up-to-date knowledge base
- SIEM and SoC integration // integration to other security tools and services
Use-cases
- Docs and contracts analysis // legal, license, copyright, etc.
- Code analysis // vulnerabilities in code, smart-contracts, protocols, configs, etc.
- Texts, images, video, etc. // content analysis, sentiment, abuse, adult, etc.
- Complex risks analysis and simulations // future scenarios, attack surface, etc.
- Education and knowledge tests // security training, cybersec prompt-engineering
Looking Ahead
Overall, AI will provide benefits to defenders and in addition to providing solutions so customers can safely use Generative AI systems today, we are tuning models for use… [link]
Microsoft and Google using LLMs for Cybersecurity
Google is launching a new service called “Google Cloud Security AI Workbench” built on top of a fine tuned version of PaLM.
Microsoft “Security Copilot delivers critical step-by-step guidance and context through a natural language-based investigation experience that accelerates incident investigation and response.”
AI has great potential in smart contract audits, despite certain limitations. GPT-4 has demonstrated some ability to detect simple vulnerabilities and provide clear explanations.
“investigate, identify, report, research” is practically useless, just “know, act” instead.
