Analyze network device configurations in GitHub using the AI Agent action in Tines
This 5 minute flow, walks through how to analyze network device configurations in GitHub using the Tines AI Agent action.
Security | Threat Detection | Cyberattacks | DevSecOps | Compliance
The Latest Cybersecurity News & Insights From Around The World
Black Hat Europe 2025: Threat Hunting With Agentic AI
Working at the Black Hat Network Operations Center (NOC) as a data scientist makes me a bit of an outlier (pun intended) among network engineers and hard-core threat hunters.
Agentic AI Security: From Threat Intelligence to Live Detections in Minutes
LimaCharlie's SecOps Cloud Platform is built around a simple idea: everything connects via API. That includes AI. Rather than locking you into a proprietary and limited AI SOC, LimaCharlie lets you bring your own LLM and put it to work directly inside your security environment. With LimaCharlie, AI can execute operations across your detections, sensors, and integrations. Because LimaCharlie operates entirely via API, every AI action is transparent and auditable.
I Don't Treat AI Video as a Toy Anymore - Not After Testing It Through a Security Lens
I used to look at consumer AI media tools as a novelty. Fun, impressive, occasionally useful - but still something I'd keep in a separate mental bucket from the things I take seriously. That changed when I started testing them the way I test anything else that touches trust, identity, and digital hygiene.
Agentic AI Security: MITRE ATT&CK Coverage Analysis in Minutes
LimaCharlie's Agentic SecOps Workspace (ASW) enables true agentic security operations. With us, AI doesn't just advise but actively operates within your security environment. We do this by integrating everything, including AI, on our cloud platform via API. Our approach delivers superior AI security automation capabilities at a fraction of the cost, allowing security teams to scale operations without growing headcount.
What are AI skill-gaps new defenders can leverage? #cybersecurity #ai #podcast
AI skill gaps are a real conversation right now, and Chris Cochran, Field CISO and VP of AI Security at SANS Institute, breaks it down into three practical buckets for defenders who want to stay ahead. Start by figuring out what you can offload to AI: summarization, enrichment, repetitive tasks. Save the deterministic decisions for humans. Then learn how to secure AI itself: Finally, understand governance. Not just the technical side, but what your company is actually trying to do with AI. Security practitioners who can enable the business, not just protect it, become irreplaceable.
VCF 9, Infrastructure, and the AI Revolution
Artificial intelligence is changing the IT landscape in radical, unprecedented ways. It’s rewriting the rules of code generation, automating complex customer service interactions, and providing data insights that used to be impossible to extract, even in recent decades. However, for IT managers and those responsible for keeping the lights on, AI represents a massive shift in infrastructure requirements.
AI Risk Management: Process, Frameworks, and 5 Mitigation Methods
AI risk management is the process of identifying, assessing, and mitigating risks associated with artificial intelligence systems to ensure they are developed and used responsibly. It involves using frameworks like the NIST AI Risk Management Framework to address technical, ethical, and social challenges, including data bias, privacy violations, and security vulnerabilities.
Why Finding Vulnerabilities Isn't Enough | NTX ISSA Lunch & Learn w/ Reach Security
Garrett Hamilton, CEO & Co-Founder of Reach, joined Bryce Carter, CISO for the City of Arlington, at the NTX ISSA Lunch & Learn in Plano, TX — a practical, operator-focused discussion with the local security community.
Prompt Injection Attacks: Why AI Security Starts with IAM
AI agents are rewriting the rules of efficiency, but one hidden flaw could turn them against you. Prompt injection attacks let hackers hijack your AI, steal data, and break safeguards straight through everyday inputs. No code exploit is required, only a clever manipulation. Identity and Access Management (IAM) plays a massive role in AI security to protect at first hand.