PatentBrief

Patent Landscape

Patent Landscape:
Cybersecurity

When RSA's encryption patent expired in 2000, the encrypted internet became possible. The patents behind zero trust, behavioral AI detection, and homomorphic encryption are the security architecture decisions of the next generation.

Cybersecurity is one of the few technology domains where patent expiration can directly enable mass adoption — the RSA patent's expiry in 2000 is arguably what made the modern encrypted internet possible. The cybersecurity patent landscape is shaped by this history: foundational cryptographic methods are often kept as trade secrets or released openly, while architectural security systems and specific detection methods are actively patented by enterprise security vendors.

The current cybersecurity patent landscape divides into network security architecture (zero trust, software-defined perimeter), endpoint detection (behavioral AI, process monitoring), cloud security (CASB, CSPM, workload protection), and cryptographic infrastructure (encryption methods, secure enclaves, post-quantum cryptography). Understanding which companies hold the foundational patents in each layer reveals who will control the economics of enterprise security as attack surfaces expand.

Key Patents

US4,405,8291983

RSA Cryptographic System — Public Key Encryption

MIT (Rivest, Shamir, Adleman)

The RSA patent is the most consequential cryptography patent ever filed. Public-key encryption — the foundation of HTTPS, secure email, and digital signatures — was patented by MIT in 1983 and licensed exclusively through RSA Security. When the patent expired in 2000, it became freely available and enabled the modern encrypted internet. The expiry demonstrates how patents can constrain and then liberate security infrastructure.

US9,560,0142017

Zero Trust Network Architecture with Continuous Authentication

Palo Alto Networks

Zero Trust — the security model that assumes no user or device is trusted by default, requiring continuous verification — is now mandated for US federal agencies by executive order. Palo Alto Networks' zero trust patent covers the continuous authentication and micro-segmentation methods that implement the model in enterprise networks. This architectural IP is now the fastest-growing segment of enterprise security spending.

US10,404,7402019

Machine Learning-Based Behavioral Threat Detection

CrowdStrike

CrowdStrike's Falcon platform uses behavioral AI to detect novel malware without signature databases. This patent covers the method of building process behavior graphs across millions of endpoints and using machine learning to identify anomalous sequences that indicate compromise. Behavioral detection is now the primary method used by next-generation endpoint security platforms.

US10,893,0592021

Software-Defined Perimeter for Cloud-Native Security

Zscaler

Zscaler's software-defined perimeter patent covers the method of routing all enterprise traffic through a cloud-hosted security proxy that applies policy at the application layer — eliminating the traditional VPN perimeter. As enterprise workloads moved to cloud, Zscaler's architecture became the dominant model for secure remote access, and this patent protects the core routing and policy enforcement method.

US11,165,7862021

Homomorphic Encryption for Secure Computation on Encrypted Data

IBM Research

Homomorphic encryption allows computation to be performed on encrypted data without decrypting it — enabling cloud providers to process sensitive data they can never read. IBM's HElib implementation patent covers specific optimization methods that make fully homomorphic encryption practical for healthcare and financial applications. This technology could eliminate the security-versus-utility tradeoff in cloud data processing.

US10,713,3472020

Secure Enclave Computation and Attestation

Intel

Intel SGX (Software Guard Extensions) creates hardware-enforced secure enclaves that protect code and data from the operating system itself. This patent covers the attestation protocol that proves to a remote party that code is running inside a genuine enclave. Secure enclaves are now the foundation of confidential computing — protecting sensitive ML models and financial transactions in cloud environments.

Key Players

Palo Alto Networks

The world's largest pure-play cybersecurity company has built its market position on a series of patent-protected architectural innovations: next-generation firewall, cloud-delivered security, and zero trust architecture. Palo Alto's acquisition strategy (Demisto, Twistlock, Bridgecrew) has brought additional IP portfolios in SOAR, container security, and cloud security posture management.

CrowdStrike

CrowdStrike's Falcon platform is protected by a focused set of behavioral AI and cloud-native endpoint detection patents. The company's threat intelligence network — processing data from 300+ million endpoints — creates a data moat that compounds with every customer added. CrowdStrike's IP strategy centers on protecting the AI methods that make this threat graph uniquely valuable.

Microsoft

Microsoft is the world's largest cybersecurity company by revenue ($20B+) through Azure security services, Defender, and Sentinel. Microsoft's security IP advantage is integration — patents on how security signals from Azure AD, Office 365, Defender, and Sentinel correlate to detect sophisticated attacks. This cross-product correlation IP is difficult for point-solution vendors to compete with.

Qualys / Tenable

Vulnerability management is the foundational layer of enterprise security — you cannot protect what you cannot see. Qualys and Tenable hold the core patents on continuous vulnerability scanning, asset discovery, and risk prioritization methods. As attack surfaces have expanded to cloud, OT, and IoT, these vulnerability management patents have extended to new device categories.

What to Watch

01

AI-Powered Offensive Security Tools and Defensive IP

Generative AI is making sophisticated cyberattacks accessible to low-skill threat actors — automating phishing, vulnerability discovery, and malware development. The defensive security industry is filing patents on AI-based detection of AI-generated attacks: detecting synthetic phishing emails, AI-generated code exploits, and LLM-assisted social engineering. This AI vs. AI dynamic will define the next generation of cybersecurity IP.

02

OT/ICS Security Patents for Critical Infrastructure

Operational technology — industrial control systems for power grids, water treatment, and manufacturing — is increasingly connected to enterprise networks and the internet. The security methods required for OT environments are fundamentally different from IT security, and the patent space for OT-specific threat detection, network monitoring, and incident response is relatively uncrowded and rapidly growing.

03

Secure Multi-Party Computation and Privacy-Preserving Analytics

Secure multi-party computation (MPC) allows multiple parties to jointly compute a function over their inputs while keeping those inputs private. MPC patents are being filed for financial fraud detection (multiple banks collaborating on pattern detection without sharing customer data), healthcare analytics, and regulatory compliance verification — applications where data sensitivity has historically prevented beneficial data sharing.

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