A structured, expert-led review of your AI product, its architecture, data flows, and deployment environment — identifying vulnerabilities before adversaries do, and delivering a clear, actionable plan for what to do about them.
Every engagement produces two concrete outputs — a written document your team can act on, and a working session with your leadership that builds shared understanding and a defensible security position.
A written document structured for both technical and non-technical readers simultaneously. Your CTO reads the same report as your CEO — and both walk away with what they need.
A 90-minute live working session with your leadership team — not a presentation, a conversation. You ask questions, we walk through tradeoffs, and you leave with clarity and confidence.
The assessment is structured around six security domains that together cover the complete attack surface of a modern AI deployment — from model-level vulnerabilities to operational resilience.
Prompt injection vulnerability, jailbreak exposure, output manipulation risk, model supply chain integrity, and adversarial input vectors — the threats that are unique to AI systems and most frequently overlooked.
Training data handling, inference data exposure, PII and PHI in model outputs, vector embedding reconstruction risk, and data exfiltration vectors through AI interfaces.
Authentication and authorization on AI endpoints, rate limiting and abuse prevention, MCP integration security, and third-party connector risk — every surface where your AI interacts with the outside world.
Cloud configuration, access controls, secret management, logging and monitoring posture, and isolation between AI workloads and the broader application environment.
Gap analysis against NIST AI RMF, OWASP LLM Top 10, ISO/IEC 42001, EU AI Act, and sector-specific regulations — HIPAA, GDPR, PCI DSS, or FedRAMP where applicable to your environment.
Incident response readiness for AI-specific events, model versioning and rollback capability, human oversight mechanisms, vendor and third-party risk, and continuous monitoring posture.
The AI Security Posture Assessment is designed for organizations that are building or have built AI-powered products and need to understand their actual security exposure — not a theoretical one.
A structured engagement with a clear beginning and end. You know what you're getting and when before we start.
Dr. Golla brings 35 years of continuous cybersecurity and systems engineering experience to every assessment — from network security research at Alcatel-Lucent Corporate Research Labs, to a sensitive critical internet infrastructure security evaluation for Nokia (2023), to IoT security and systems architecture at Texas Instruments and Amazon Kuiper. He holds a PhD in Computer Engineering from SMU and an MBA from UT Dallas, and is an IEEE Senior Member. His security practice began before AI security was a recognized discipline. For the full work history, see LinkedIn.
Detection without contextualized, defensible action is just noise. Assessment findings — your posture report, ranked vulnerabilities, and 30/60/90 remediation roadmap flow into ARIA, our continuous compliance platform — where ControlMesh, the intelligence decision layer, contextualizes them against your operating frameworks (NIST AI RMF, ISO 42001, HIPAA, FDA CDS, EU AI Act, and HITRUST CSF where applicable) and turns them into documented action your CISO, compliance officer, and auditors can stand behind. About ARIA → · Launch Platform
Start with a free 30-minute AI security posture conversation. No obligation — just a clear-eyed look at where your AI deployment is exposed and what it would take to address it.