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Glossary

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.
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ORCHESTRATION SECURITY

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.

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.

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.

POST-QUANTUM CRYPTOGRAPHY

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.

01

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.
02

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.
03

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.
04

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.
05

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.
06

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.
ORCHESTRATION SECURITY

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.

POST-QUANTUM CRYPTOGRAPHY

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.

Prasad Kumkar

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.