Post-Quantum Cryptography (PQC) is a class of cryptographic algorithms engineered to remain secure against cryptanalytic attacks from both classical and future quantum computers. It specifically addresses the threat posed by Shor's algorithm, which can efficiently solve the integer factorization and discrete logarithm problems that underpin current standards like RSA and Elliptic Curve Cryptography (ECC). PQC algorithms are based on mathematical problems believed to be hard even for quantum computers, such as lattice-based, code-based, hash-based, and multivariate cryptography.
Glossary
Post-Quantum Cryptography (PQC)

What is Post-Quantum Cryptography (PQC)?
Post-Quantum Cryptography (PQC) refers to cryptographic algorithms designed to be secure against an attack by a quantum computer, which could break widely used public-key cryptosystems like RSA and ECC.
For multi-agent system orchestration, PQC is a critical component of a preemptive algorithmic cybersecurity posture. It secures the long-term confidentiality and integrity of agent communication protocols and state synchronization channels. Implementing PQC involves transitioning Public Key Infrastructure (PKI), digital certificates, and key exchange mechanisms to quantum-resistant alternatives to protect against harvest-now, decrypt-later attacks, where adversaries collect encrypted data today for decryption once a quantum computer becomes available.
Core Families of PQC Algorithms
Post-Quantum Cryptography (PQC) comprises cryptographic algorithms designed to be secure against attacks by both classical and quantum computers. These algorithms are grouped into distinct mathematical families, each with unique security assumptions and performance characteristics.
Lattice-Based Cryptography
Lattice-based cryptography is built on the computational hardness of problems in high-dimensional lattices, such as the Learning With Errors (LWE) and Shortest Vector Problem (SVP). This is the most versatile and widely studied PQC family.
- Primary Use: General-purpose encryption and digital signatures.
- Key Examples: Kyber (key encapsulation) and Dilithium (signatures), both selected for standardization by NIST.
- Advantages: Strong security proofs, efficient performance, and support for advanced cryptographic primitives like fully homomorphic encryption.
- Considerations: Relatively larger public key and ciphertext sizes compared to classical ECC.
Code-Based Cryptography
Code-based cryptography relies on the difficulty of decoding a general linear code, a problem known to be NP-hard. The McEliece cryptosystem, proposed in 1978, is the foundational example and is one of the oldest PQC candidates.
- Primary Use: Public-key encryption.
- Key Examples: Classic McEliece, a NIST finalist, and its BIKE variant.
- Advantages: Long history of cryptanalysis with no significant quantum speedup known, leading to high confidence in its security.
- Considerations: Very large public keys (often hundreds of kilobytes to megabytes), which can be a bottleneck for certain applications.
Multivariate Cryptography
Multivariate cryptography is based on the hardness of solving systems of multivariate quadratic equations over finite fields. Security stems from the NP-completeness of the Multivariate Quadratic (MQ) problem.
- Primary Use: Primarily digital signatures and, to a lesser extent, encryption.
- Key Examples: Rainbow (a signature scheme that was a NIST finalist) and GeMSS.
- Advantages: Can provide very small signature sizes and fast verification.
- Considerations: Often has large public keys, and the security landscape has seen several specialized attacks, requiring careful parameter selection.
Hash-Based Cryptography
Hash-based cryptography derives its security solely from the collision resistance of cryptographic hash functions. It is used almost exclusively for constructing digital signatures.
- Primary Use: Digital signatures with long-term security requirements.
- Key Examples: SPHINCS+, a stateless hash-based signature scheme selected by NIST for standardization.
- Advantages: Minimal security assumptions (only a secure hash function is needed), providing strong provable security. Resistant to quantum attacks that leverage period-finding.
- Considerations: Signatures are relatively large, and signing/verification can be slower than other families. Often uses a one-time signature concept, requiring state management or a "few-time" signature structure.
Isogeny-Based Cryptography
Isogeny-based cryptography uses the mathematical complexity of computing isogenies (maps) between elliptic curves. Security is based on the presumed hardness of the Supersingular Isogeny Diffie-Hellman (SIDH) problem.
- Primary Use: Key exchange.
- Key Examples: SIKE was a prominent candidate until a key recovery attack in 2022 demonstrated its insecurity, highlighting the evolving nature of PQC cryptanalysis.
- Advantages: Offers the smallest key sizes among all PQC families (competing with classical ECC), which is advantageous for constrained environments.
- Considerations: The family is currently under intense scrutiny after the fall of SIKE. New constructions like CSIDH exist but are less efficient and also subject to ongoing analysis.
Symmetric Key Cryptography & Hash Functions
While not a "public-key" family, symmetric algorithms are a critical component of the PQC migration. Grover's algorithm provides a quadratic speedup for brute-force searches, effectively halving the security level of symmetric keys.
- Primary Use: Encryption, authentication, and hashing in hybrid cryptographic systems.
- Impact: A 128-bit symmetric key, secure against classical computers, provides only ~64 bits of security against a quantum attacker using Grover's. The standard mitigation is to double the key size (e.g., move from AES-128 to AES-256).
- Status: Well-understood and considered quantum-resistant with increased parameters. SHA-3 and AES-256 are the recommended standards for hashing and encryption, respectively, in a post-quantum context.
The Quantum Threat and Cryptographic Transition
This section defines Post-Quantum Cryptography (PQC), the field of cryptographic algorithms designed to withstand attacks from future quantum computers, which pose an existential threat to current public-key standards.
Post-Quantum Cryptography (PQC) refers to cryptographic algorithms designed to be secure against cryptanalytic attacks by both classical and quantum computers. This field is a direct response to Shor's algorithm, a quantum algorithm that can efficiently solve the integer factorization and discrete logarithm problems, thereby breaking widely deployed public-key cryptosystems like RSA, Diffie-Hellman, and Elliptic Curve Cryptography (ECC). The goal of PQC is to develop and standardize new algorithms based on mathematical problems believed to be hard for quantum computers to solve, ensuring long-term security for digital communications and data.
The transition to PQC is a critical, long-term engineering challenge for multi-agent system orchestration, as it impacts all layers of communication security. Agent-to-agent authentication, secure channel establishment via TLS/mTLS, and the integrity of audit logs all depend on cryptographic primitives that must be quantum-resistant. For orchestrated systems with extended operational lifecycles, implementing PQC algorithms—such as those based on lattice problems, hash-based signatures, or multivariate equations—is essential to maintain confidentiality and authentication in a post-quantum future, ensuring agent communications remain secure against future adversaries.
Frequently Asked Questions
Post-Quantum Cryptography (PQC) comprises cryptographic algorithms designed to be secure against attacks by both classical and quantum computers, ensuring the long-term confidentiality and integrity of data in multi-agent systems and other critical infrastructure.
Post-Quantum Cryptography (PQC) is a class of cryptographic algorithms designed to be secure against cryptanalytic attacks by quantum computers, which threaten to break widely used public-key systems like RSA and Elliptic Curve Cryptography (ECC). The urgency stems from the harvest now, decrypt later threat model, where adversaries can collect encrypted data today and decrypt it in the future once a sufficiently powerful quantum computer exists. This jeopardizes the long-term secrecy of any data protected by current public-key cryptography, necessitating a proactive migration to quantum-resistant algorithms before cryptographically-relevant quantum computers (CRQCs) are realized.
Enabling Efficiency, Speed & Accuracy
Intelligent Analysis, Decision & Execution
We build AI systems for teams that need search across company data, workflow automation across tools, or AI features inside products and internal software.
Talk to Us
Search across company data
Give teams answers from docs, tickets, runbooks, and product data with sources and permissions.
Useful when people spend too long searching or get different answers from different systems.

Automate internal workflows
Use AI to route work, draft outputs, trigger actions, and keep approvals and logs in place.
Useful when repetitive work moves across multiple tools and teams.

Add AI to products and internal tools
Build assistants, guided actions, or decision support into the software your team or customers already use.
Useful when AI needs to be part of the product, not a separate tool.
Related Terms
Post-Quantum Cryptography (PQC) is one component of a comprehensive security architecture for multi-agent systems. These related concepts form the cryptographic and access control foundation for secure orchestration.
Public Key Infrastructure (PKI)
Public Key Infrastructure (PKI) is the framework of roles, policies, hardware, software, and procedures needed to create, manage, distribute, use, store, and revoke digital certificates and manage public-key encryption. In a multi-agent system, PKI provides the trusted root for agent identity. PQC algorithms are designed to be integrated into future PKI systems to replace vulnerable algorithms like RSA and ECC.
- Core Function: Establishes trust between unknown parties via a chain of certificates from a trusted Certificate Authority (CA).
- Orchestration Relevance: Enables mutual TLS (mTLS) for authenticated, encrypted inter-agent communication.
- PQC Migration: The transition to PQC is a massive PKI overhaul, requiring new certificate formats and CA software.
Key Rotation
Key rotation is the security practice of periodically retiring an encryption key and replacing it with a new one. This limits the amount of data encrypted with any single key and mitigates the impact of a key compromise. For PQC, this practice is critical during the crypto-agile transition period, where systems may run classical and post-quantum algorithms in parallel.
- Purpose: Reduces the cryptographic attack surface and enforces forward secrecy.
- Harvest Now, Decrypt Later: A major quantum threat where data is intercepted today and decrypted later when a quantum computer is available. Frequent key rotation shortens the window of vulnerability.
- Automation in Orchestration: Agent lifecycle management systems must automate the rotation of keys and certificates without disrupting ongoing collaborative tasks.
Hardware Security Module (HSM)
A Hardware Security Module (HSM) is a physical computing device that safeguards and manages digital keys, performs encryption/decryption functions, and provides strong authentication for critical cryptographic operations. HSMs are essential for securing the root of trust in an orchestration platform, especially for storing the private keys used in PQC algorithms, which may have larger key sizes.
- Function: Provides tamper-resistant storage and offloads computationally intensive cryptographic operations.
- PQC Performance: Some PQC algorithms (e.g., lattice-based) are computationally heavier; HSMs with PQC-accelerated hardware will be crucial for performance at scale.
- Use Case: Protecting the CA's root key, securing agent identity keys, and performing secure key generation for the entire multi-agent network.
Zero-Trust Architecture (ZTA)
Zero-Trust Architecture (ZTA) is a security model that assumes no implicit trust is granted to assets or user accounts based solely on their physical or network location. Every access request must be authenticated, authorized, and encrypted. In multi-agent orchestration, each agent is treated as an untrusted entity until verified.
- Core Principle: "Never trust, always verify."
- PQC Integration: ZTA mandates strong encryption for all communications. PQC provides the quantum-resistant cryptographic primitives (digital signatures, key encapsulation) needed to maintain ZTA's security guarantees in the long term.
- Agent Context: Applies the principle to machine identities, requiring continuous validation of agent credentials and posture before allowing collaboration or data access.
Mutual TLS (mTLS)
Mutual TLS (mTLS) is an authentication protocol where both the client and the server in a communication channel present and verify each other's digital certificates, establishing a mutually authenticated and encrypted connection. This is the standard for securing service-to-service communication, directly applicable to inter-agent messaging.
- Process: A two-way handshake using X.509 certificates, unlike standard TLS where only the server is authenticated.
- Orchestration Use: Ensures that an Agent A is truly communicating with Agent B and not an imposter, forming a secure channel for task delegation and state synchronization.
- PQC Dependency: mTLS relies on the underlying PKI's digital signature and key exchange algorithms. Migrating to PQC requires updating the TLS protocol stacks (to TLS 1.3+ with PQC cipher suites) and all agent certificates.
Crypto-Agility
Crypto-agility (or cryptographic agility) is the ability of a security system to rapidly switch between cryptographic algorithms, key sizes, or parameters without requiring significant changes to the system infrastructure. This is a foundational design requirement for preparing orchestration platforms for the transition to PQC.
- Design Principle: Isolate cryptographic decisions into modular, replaceable components (e.g., using abstract
CryptoProviderinterfaces). - PQC Transition: Allows a system to support both classical (RSA/ECC) and post-quantum algorithms during a long migration period, and to future-proof against new cryptographic breaks.
- Implementation: Involves algorithm negotiation protocols, dual certificate support, and runtime selection of cryptographic suites based on policy and peer capability.

About the author
Prasad Kumkar
CEO & MD, Inference Systems
Prasad Kumkar is the CEO & MD of Inference Systems and writes about AI systems architecture, LLM infrastructure, model serving, evaluation, and production deployment. Over 5+ years, he has worked across computer vision models, L5 autonomous vehicle systems, and LLM research, with a focus on taking complex AI ideas into real-world engineering systems.
His work and writing cover AI systems, large language models, AI agents, multimodal systems, autonomous systems, inference optimization, RAG, evaluation, and production AI engineering.
Partnered with leading AI, data, and software stack.
How We Work
Custom AI workflows for your Business
One-fit-all AI don't work for modern businesses. At Inferensys, we aim to understand your business & custom requirements; which we use to define most efficient agentic workflows, the data, and the tools for your business.
01
Review the use case
We understand the task, the users, and where AI can actually help.
Read more02
Pick the right approach
We define what needs search, automation, or product integration.
Read more03
Build the first useful version
We implement the part that proves the value first.
Read more04
Improve from there
We add the checks and visibility needed to keep it useful.
Read moreThe first call is a practical review of your use case and the right next step.
Talk to Us