Protect Content, Accounts, and Privacy
Media platforms run on complex pipelines powered by cloud, AI, and APIs, each adding new security and compliance risks. DevArmor helps teams model and mitigate those risks early, embedding guardrails for content integrity and data protection into developer workflows.
Start threat modeling in minutes.
Secure Your End-to-End Media Workflow
AI-assisted threat modeling surfaces flaws across APIs, encoding, and storage systems, referencing frameworks like TPN (Trusted Partner Network) and CDSA Content Security Standard for best practices in content protection.
Each release runs automated security checks mapped to ISO 27001 and NIST CSF, giving studios and broadcasters verifiable assurance without slowing production.
Align AI Tools with Your Security and Compliance Standards
DevArmor automatically generates custom rule sets for AI and ML tools, aligning them with your data handling, IP protection, and content integrity policies.
Every model output and automation is validated against standards like GDPR, CCPA, and the EU AI Act, as well as emerging provenance frameworks such as C2PA (Content Authenticity Standard). The result: AI that creates securely and transparently, protecting both audiences and your brand.
Automate Evidence for SOC 2, GDPR, and Platform Compliance
DevArmor continuously maps your design reviews and code-level checks to compliance frameworks including SOC 2, ISO 27001, TPN, and GDPR.
It produces real-time coverage metrics, drift detection, and release attestations, proving that every change meets both security and privacy requirements. Security teams gain instant compliance evidence; engineering teams ship faster with confidence.
Petra VukmirovicThe practitioners who consistently produce good threat models are not the ones with the most sophisticated tooling. They are the ones who are obsessive about what goes in. Get that right, and the all the rest (the methodology, the AI assist, the output format ...) will fall into place.
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Amir KavousianEarly-stage security programs often measure success by the number of vulnerabilities closed. Mature programs measure it by how much risk actually goes down. Instead of treating every finding as equal, they weigh attacker intent, system exposure, and business impact, balancing technical severity (CVSS, EPSS) with architectural and operational context.
Reza Khosravi
Reza Khosravi
Amir KavousianThe future of AppSec isn't about chasing bugs or triaging alerts. It's about capturing intent, governing design, and enabling every contributor (human or AI) to build securely by default.
Amir Kavousian
Amir Kavousian
Amir Kavousian