AI is eating software engineering but it's also creating massive new attack surfaces in 2026.
Here's what every dev & AppSec pro needs to watch:
1/ Shadow AI: Unauthorized tools leaking company data
2/ Prompt injection & poisoned training data
3/ AI agents with weak IAM (they're the new privileged users)
4/ Supply chain attacks on ML models & dependencies
Quick wins for secure AI dev:
- Scan prompts & outputs
- Use SBOM for AI pipelines
- Zero Trust for agent access
- Monitor for anomalous model behavior
What’s your biggest AI security headache right now?
#Cybersecurity #AppSec #DevSecOps #AISecurity
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Now that Beauty In Black is officially wrapped for good… just know Terrell isn’t going anywhere. He’s just getting started 🚀🎥🍿 #BeautyInBlack #SistasOnBET #ZatimaOnBETPlus
User Datagram Protocol (udp)
udp is the part of networking that doesn't try to be smart. no connection setup, no handshake, no retries. you create a datagram, and it just sends it. that's the whole deal.
you package your data into a datagram, then the os sends it and that's the end of the story. no ack, no retransmission, no "did you get it?".
udp never waits.
it's designed for one purpose: deliver data with the lowest possible overhead.
how jwt verification actually works?
jwt is everywhere; auth systems, apis, microservices, mobile apps, even internal service-to-service communcation. it looks simple on the surface: a token with three parts separated by dots. but the real magic is in how verification works.
clock synchronization in distributed systems
one thing you learn early in distributed systems: machines don't agree on time. they never have. they never will.
every server has its own clock. and every clock drifts, skews, jumps, freezes, or corrects itself at the worst possible moment. yet so may algorithms depends on "time" being trustworthy.
that's the core problem.