Data & AI Governance Architect | Cybersecurity Practitioner | UAS Engineering. Opinions are solely my own.
#GoERAU #ForeverAnEaglerobertsaghafi.com San Diego, CA 🇺🇲Joined July 2025
New AI Certification exams are now in beta.
Show you’re ready to build, sell and secure AI-powered solutions:
🔗 AI‑200 – Build and run AI solutions on Azure: msft.it/6011v3KRS
🔗 AB-210 – Design Copilot-driven sales solutions: msft.it/6012v3KRs
🔗 SC-730 – Protect data & reduce organizational risk: msft.it/6013v3KRt
Be among the first to get #MicrosoftCertified
Most LLM deployments violate the principle of least privilege.
Not because teams are careless.
Because the controls were never built.
New article → why agentic AI is an access control problem, and what policy-bound execution actually looks like.
rebrand.ly/yhru7ui#LLMSecurity#AgenticAI#ZeroTrust#AIGovernance#CyberSecurity
Agentic AI changes one thing fundamentally
Governance is no longer sufficient
Enforcement has to happen at runtime
My new article on sovereignty-enforced AI systems and what PDP and PEP look like inside agent execution 👇
rebrand.ly/6h99q2b#AgenticAI#AISecurity #DataProtection#CyberSecurity#AI#AIGovernance
Quick IT reality check: AI agents don’t replace infrastructure.
They run on top of it. Identity, Permissions, APIs, and logging monitoring all still matter.
@SecAIPlus@CompTIA I can't agree more. Another benefit of pursuing both, and often in parallel, is that candidates get to learn "why" they should build projects incorporating security by design and showcase it in the implementation.
As enterprises deploy AI copilots and agentic workflows, the security model of AI is changing.
Retrieval pipelines + agents + external models create new risks:
• Prompt injection
• Data leakage during inference
• Agent privilege escalation
• Cross-border data exposure
I published a deep dive on Sovereign AI threat modeling and an open framework on GitHub 👇
Article
🔗 rebrand.ly/nhfco3y
Repo
🔗 github.com/robertsaghafi/…#AISecurity#ThreatModeling#AIGovernance
MLOPs engineers, we have big news to share! The new Microsoft Certified: Machine Learning Operations (MLOps) Engineer Associate Exam AI‑300 is now in beta. What does this mean for you?
For a limited time, the first 300 candidates to take the new test by April 2 will receive an 80% discount*.
Use code: AI300Meridian
*Read the blog for more details 🔗
msft.it/6015QcmRP
We're investigating an issue in which some Teams users in North America may experience poor audio and video quality. More information may be found in the Microsoft 365 admin center under TM1248186.
Many organizations invest heavily in cybersecurity and AI.
But they overlook one foundational control:
Data governance.
That blind spot can quietly undermine everything built on top of it. 🧵
AI security requires a different mindset:
• probabilistic risk modeling
• continuous monitoring
• statistical trust evaluation
• resilience rather than perfect control
For decades, cybersecurity has relied on deterministic logic.
Allow or deny.
Trusted or untrusted.
But AI systems don’t operate deterministically.
They operate probabilistically.
This changes everything for security. 🧵
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For company updates, check out @GoogleCloud.
Watch #GoogleCloudNext on demand ⬇️
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Apply to Blueprint II: https://t.co/nqic6XT3ob
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CTI Platform: #USTA Risk Intel: #BLINDSPOT
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