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🤖 AI for Security 🛡️
Each week, I share practical advice & lessons learned from applying LLMs, AI agents, & GenAI to cyber security. Here are some of the latest.
⚠️ How we beat alert fatigue with AI – Asana
Sean Cassidy
How Asana leveraged AI to cut through security noise and reduce alert fatigue for their security team.
🔗 https://lnkd.in/dB2S7FmK
🧠 Behind the scenes of Elastic Security’s Generative AI Features
Explore how Elastic’s Security GenAI and Security ML teams develop and refine features like the Elastic AI Assistant, Attack Discovery, and Automatic Import to streamline security workflows and improve threat detection.
🔗 https://lnkd.in/dCEdTJRa
🕵️ The Dawn of Agentic AI in the SOC – Torq
Exploring how security operations centers (SOCs) are integrating agentic AI to streamline security processes and automate threat response.
🔗 https://lnkd.in/dj5Ah4kC
🤖 Considering the security implications of Computer-Using Agents (like OpenAI Operator) – Push Security
Jacques Louw //O
A deep dive into the evolving role of CUA agents in cybersecurity and their implications for security teams.
🔗 https://lnkd.in/diDtK8yG
🔍 Super-Powered Application Discovery & Security Testing with Agentic AI (Series) – Ghost Security
☁️ Brad Geesaman
A three-part series on how agentic AI is transforming application security testing and discovery.
🔗 Part 1: https://lnkd.in/dQzq7qpw
🔗 Part 2: https://lnkd.in/dkh8QMym
🔗 Part 3: https://lnkd.in/dbTAzCgW
🛠️ Better RCAs with Multi-Agent AI Architecture – Elastic
Discover how specialized LLM agents collaborate to tackle complex tasks with unparalleled efficiency, enhancing root cause analysis in observability.
🔗 https://lnkd.in/dS6Wsx45
What Undercode Say
The integration of AI into cybersecurity is revolutionizing how security professionals approach threat detection, response, and analysis. Tools like Elastic’s AI Assistant and Torq’s agentic AI are streamlining workflows, reducing alert fatigue, and enhancing root cause analysis. For those looking to implement AI in their security operations, here are some practical commands and tools to get started:
1. Elastic AI Assistant Setup:
sudo apt-get install elasticsearch sudo systemctl start elasticsearch sudo systemctl enable elasticsearch
2. Automating Threat Response with Torq:
curl -X POST https://api.torq.io/v1/automations -H "Authorization: Bearer YOUR_API_KEY" -d '{"name":"Threat Response","actions":[{"type":"block_ip","target":"192.168.1.1"}]}'
3. AI-Powered Log Analysis:
python3 -m pip install pandas scikit-learn python3 analyze_logs.py --logfile /var/log/syslog --output threats.csv
4. Automating Security Testing with AI:
docker run -it ghostsecurity/agentic-ai-toolkit scan --target https://example.com
5. Root Cause Analysis with Multi-Agent AI:
elastic-agent enroll --url=https://elastic-server:8220 --enrollment-token=YOUR_TOKEN elastic-agent start
These commands and tools are just the beginning. As AI continues to evolve, its role in cybersecurity will only grow, offering more sophisticated ways to protect systems and data. Stay updated with the latest advancements and integrate these tools into your security practices to stay ahead of threats.
For further reading, explore the links provided in the article to dive deeper into each topic.
🔗 https://lnkd.in/dB2S7FmK
🔗 https://lnkd.in/dCEdTJRa
🔗 https://lnkd.in/dj5Ah4kC
🔗 https://lnkd.in/diDtK8yG
🔗 https://lnkd.in/dQzq7qpw
🔗 https://lnkd.in/dkh8QMym
🔗 https://lnkd.in/dbTAzCgW
🔗 https://lnkd.in/dS6Wsx45
References:
initially reported by: https://www.linkedin.com/posts/dylan-williams-a2927599_ai-for-security-each-week-i-share-activity-7301642958217342976-4tLU – Hackers Feeds
Extra Hub:
Undercode AI
