XavSecOps
@XavSecOps
DevOps, SecOps , AI Implementation AI is more than just intel, it's your new SysAdmin. Automating workflows, securing the stack, and redefining Red/Blue teaming
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(The Hook)AI agents can turn 3‑hour investigations into 3‑minute answers. ⏱️📉 With ~500k open cybersecurity jobs and exploding data volumes, static rules can't keep up. Here is how LLM agents are changing threat detection—the wins, the risks, and the guardrails. 🧵👇
Imagine finding a single weird outbound connection from a supposedly isolated system. Then you realize it’s undocumented malware from a suspected state actor. That’s not just an incident, that’s a full stop.
The myth is you can sanitize user input to stop prompt injection. The reality is you must treat the LLM as an already-compromised intern: give it read-only access and never keys to the production environment.
Treating public docs as a trusted RAG source is a huge mistake. It's an open invitation for subtle data poisoning.
Attackers are shifting from hostage-takers to silent landlords living in your network, collecting rent you don't even know you're paying.
We used to worry about external exploits. Now malware is shipping inside AI skills and trusted updates. The blast radius is the entire ecosystem.
Finally, we can scale AI code generation without scaling our security debt. Project CodeGuard gives us the framework: Model-Agnostic Security Ruleset 🛡️ Automated Guardrails for Gen & Review ✅ This isn't an add-on; it's the required foundation for enterprise AI development.…
How are you sandboxing your LLM agent's tool access? Because you'll never perfectly filter prompts, but you ‘can’ limit the blast radius.
Design review question for any new AI bot: what's the single most damaging API call it can make? A clever prompt will find it eventually.
“Serverless” for heavy AI security models is just re-packaged container management with a bigger bill. You end up paying for provisioned concurrency and custom warmup triggers just to keep a 500MB model from timing out on first request.
A reminder that the most damaging intrusions aren't loud. They start in dev workflows and forgotten cloud access paths, looking like normal traffic until it's too late.
First check for me: any CI/CD nodes or dev sandboxes running Docker Desktop that might pull images from public registries. Seeing that combo on a vulnerable version would definitely ruin my afternoon.
Terraform's S3 backend default won't save you from state file collisions on its own. It's a classic footgun. If your team is growing, you'll eventually have two ‘apply’ commands run at the same time and corrupt your state. Go check your `backend` blocks for the `dynamodb_table`…
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