Cloud Leak: Billions at Risk
In an era where digital transformation drives every industry, cloud storage has…
From prototype to production, gain the clarity to build LLMs that meet real-world developer needs.
At COE Security, our LLM Developer Survey service provides organizations with deep insights into the practices, pain points, and priorities of developers working with large language models. As enterprises increasingly integrate LLMs into their products and workflows, understanding the developer experience becomes critical to ensuring secure, scalable, and efficient implementation.
Our LLM Developer Survey aggregates and analyzes feedback from a broad community of developers across industries, offering a centralized view into real-world challenges, tooling preferences, and security concerns throughout the LLM development lifecycle. From model training to deployment, we uncover patterns that can inform strategy, improve product-market fit, and strengthen governance.
COE Security’s survey-driven intelligence empowers organizations to align LLM initiatives with developer needs-supporting smarter innovation, stronger security postures, and smoother adoption. Whether you’re building foundational models or fine-tuning applications, our insights help you prioritize improvements without slowing down innovation.
COE Security’s LLM Developer Survey is designed to give organizations actionable insights into the evolving landscape of large language model development. Our approach combines deep technical analysis with real-world developer feedback to help you build more secure, effective, and developer-friendly LLM solutions. Our service includes:
AI Security Posture Assessment evaluates the current state of your AI-powered systems – models, data pipelines, and runtime environments – to uncover misconfigurations, gaps, and latent vulnerabilities across the AI lifecycle. Our specialists perform a comprehensive inventory of AI assets (AI BOM), continuously monitor model drift and data integrity, and benchmark against leading AI security frameworks such as NIST AI RMF and EU ALTAI. We then deliver a prioritized roadmap of remediation actions – from enforcing least-privilege AI service permissions to tightening data provenance controls – to harden your AI infrastructure before threats emerge. By combining automated scanning with expert analysis, we ensure that adversarial inputs, pipeline misconfigurations, and regulatory compliance gaps are identified and resolved, giving you full visibility and control over your AI attack surface.
AI Runtime Defense Analysis focuses on protecting models in production against real-time attacks such as adversarial examples, model extraction, and data poisoning. We instrument your inference environments with behavior-monitoring agents that detect anomalous input patterns, unusual resource consumption, or suspicious API queries, correlating these signals with threat-intelligence feeds to flag and quarantine potential attacks instantly. Our team conducts stress-tests using red-teaming techniques – simulating evasion, inversion, and membership inference attacks – to validate detection efficacy and tune alert thresholds. Post-analysis, you receive detailed incident reports and fine-grained recommendations for runtime hardening: from input sanitization and canary deployments to adaptive throttling and encrypted model enclaves. This ensures your AI services remain resilient under adversarial pressure, preserving confidentiality, integrity, and availability.
AI Security Consulting blends cybersecurity best practices with deep AI/ML expertise to build secure AI strategies, governance models, and operational controls. Our consultants advise on secure model development workflows – incorporating secure coding, dependency scanning, and continuous integration of AI-specific SCA tools – to prevent vulnerabilities from code to deployment. We help define AI risk-management policies, map threat models for each use case, and establish “AI blue teams” for ongoing monitoring and incident response drills. Through workshops and hands-on labs, your teams learn to implement privacy-preserving techniques (differential privacy, federated learning), robust IAM for AI services, and compliance checks aligned with GDPR, HIPAA, or PCI DSS. The result is a tailored AI security posture that balances innovation speed with risk mitigation, enabling safe, compliant AI adoption.
AI Adoptability Security Review assesses how readily and securely your organization can integrate AI solutions into existing processes and architectures. We evaluate cloud- and edge-based AI platforms, SDKs (OpenAI, Hugging Face, Vertex AI), and custom ML toolchains for security features, permission models, and data-handling practices. Our review identifies bottlenecks – such as overly broad service roles, unencrypted data stores, or insufficient audit logging – that hinder secure AI rollout, and prescribes configuration hardening, network segmentation, and automated compliance gates. We also benchmark your AI-operational maturity against industry peers, quantifying your adoptability score and highlighting quick-win improvements to accelerate secure AI deployment. This ensures that new AI initiatives can be onboarded rapidly without compromising organizational security.
AI & LLM Penetration Testing probes your large-language-model (LLM)-based applications and supporting infrastructure to uncover exploitable flaws before adversaries do. Our ethical hackers use specialized toolkits (e.g. Microsoft Counterfit) and custom adversarial prompts to test for prompt injection, jailbreaks, unauthorized data exfiltration, and API abuse. We simulate advanced threat scenarios – such as chained prompt attacks, model inversion, and side-channel exploits – to measure the effectiveness of your input validation, rate limiting, and response-sanitization controls. Following the engagement, you receive a red-team report detailing discovered vulnerabilities, exploit demonstrations, and prioritized remediation guidance, including code-level fixes and architectural recommendations. This service closes critical gaps in LLM resilience, ensuring your generative AI remains robust against evolving adversarial techniques.
COE Security empowers your organization with on-demand expertise to uncover vulnerabilities, remediate risks, and strengthen your security posture. Our scalable approach enhances agility, enabling you to address current challenges and adapt to future demands without expanding your workforce.
Your trusted ally in uncovering risks, strengthening defenses, and driving innovation securely.
Certified cybersecurity professionals you can trust.
Testing aligned with OWASP, SANS, and NIST.
Clear reports with practical remediation steps.
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