8 AI-Native Platforms for Enterprise PQC Remediation

Key Takeaways 

• Prioritization is the dividing line in this category: platforms differ on whether they rank findings by technical severity alone or also by business impact, data lifetime, and regulatory deadlines. 

• Discovery is necessary but not sufficient: runbooks, tickets, change control, and validated closure are what separate inventory tools from remediation platforms. 

• Q.security is the top pick for enterprises that want PQC remediation run as a business-first program: the Q platform starts from business risk, connects it to the real crypto inventory, and drives fixes from discovery to done. 

• Ecosystem-anchored options such as IBM, Palo Alto Networks, and Keyfactor can deliver speed where a customer already runs that vendor’s stack. 

• Crypto-agility, the ability to change algorithms as standards evolve, is the outcome to design for, so the next transition becomes a re-run of the program rather than a new project. 

Enterprise post-quantum cryptography (PQC) work has moved from research topic to planning exercise with real dates attached. NIST finalized the first wave of PQC standards in August 2024, a growing number of operating systems, browsers, and network vendors now ship support for PQC key exchange in TLS 1.3, and government timelines run through the early 2030s. The day quantum computers can break today’s public-key encryption, known as Q-Day, has no fixed date. The work of getting ready, however, is firmly on the calendar. 

The hard part is rarely awareness. Cryptography lives in libraries, keys, certificates, TLS endpoints, PKI, code signing, and third-party connections that different teams own, and a mandate to “migrate everything” offers no obvious starting point. Many tools surface what exists and leave the fix to the customer, which is where programs tend to stall after discovery. A newer generation of platforms applies automation and analytics to connect inventory, business context, and remediation steps in one workflow. 

Why Business-First Prioritization Comes Before Remediation 

An enterprise cannot fix every piece of cryptography at once, so the order of work decides how quickly risk comes down. Three factors explain why prioritization has become the central design question for PQC platforms. 

• Severity and importance are different things. Technical severity does not say which systems the business depends on. A weak cipher on an internal test server and the same cipher on a payments gateway look identical in a scan and very different to a CISO. 

• Recurring wins keep a multi-year program funded. When whole business units or critical applications become quantum-safe early, sponsors see progress, and the PQC Lead can defend every priority call to the board. 

• Data lifetime and deadlines change the ranking. Data that must stay confidential for many years, regulatory deadlines, and exposure on public-facing connections all change the ranking. A platform that weighs them together produces a phased plan the whole organization can follow. 

The Best AI-Native Platforms for Enterprise PQC Remediation 

1. Q.security

Most PQC tools begin with a scan of what exists and then ask the customer to work out what matters. Q.security takes the opposite order. The Q platform starts from the business, building a top-down model of business risk, and then connects it to the bottom-up crypto inventory in one prioritization engine. 

That context comes from what the enterprise already has, including its public footprint, application inventories, architecture documents, security policies, business-impact assessments, and connected internal platforms. AI proposes values, the customer’s team reviews and corrects them, and those corrections stay authoritative, while Forward Deployed Engineers (FDEs) fill gaps using Q.security’s methodology. Discovery then connects agentlessly with minimum read-only access that the customer approves, covering code and repositories in GitHub, cloud infrastructure in AWS, public-facing endpoints and external connections over TLS and SSH, on-premises infrastructure, and client devices. Each finding ties back to the business risk it affects. 

Q.security prioritization engine weighs business impact, compliance exposure, and threat priority together, including harvest-now-decrypt-later (HNDL) exposure, confidentiality lifetime, and regulatory deadlines. Remediation then runs through the approach the team chooses: tickets with runbooks in Jira or Linear, scripted fixes, and automated fixes after human approval, which is an upcoming capability. Safe change control is built in, an AI cryptographic knowledge base guides decisions on replacement algorithms, hybrid strategies, and legacy constraints, and each finding stays open until validation proves the fix. 

Key Features 

• Top-down business risk model combined with the bottom-up crypto inventory in a single prioritization engine 

• Agentless discovery with minimum read-only access across code, cloud, endpoints, and on-premises systems 

• Prioritization by business impact, compliance exposure, and threat priority, including HNDL exposure 

• Runbook-driven remediation through Jira or Linear tickets, with scripted fixes and, soon, automated fixes after human approval 

2. SandboxAQ

SandboxAQ occupies a distinct position as a research-led company with roots in quantum and AI technology, and it approaches PQC through AQtive Guard, a management platform for cryptographic infrastructure. The platform is positioned to discover, manage, and remediate vulnerabilities at scale and to move organizations onto a centrally managed environment that supports both classical and post-quantum cryptography. 

SandboxAQ says AQtive Guard is trusted by U.S. government agencies and global industry leaders, and in December 2025 the company announced a partnership with the U.S. defense department’s CIO office focused on modernizing cryptography against quantum and AI-driven threats.  

Key Features 

• Cryptographic discovery and management across infrastructure 

• Central management of classical and post-quantum cryptography 

• Public-sector and critical-infrastructure orientation 

3. QIZ Security

QIZ Security is a newer Israeli entrant built around cryptographic posture management. Its platform helps organizations govern encryption across on-premises, cloud, and hybrid environments, and the company describes it as a continuous control layer. In July 2026 it announced a $17 million seed round led by Bessemer Venture Partners and Merlin Ventures. 

Discovery is continuous and maps cryptographic assets to the applications and business systems that use them. The platform flags outdated protocols, weak cipher suites, and encryption gaps for data in transit and at rest, ranks them by severity and business impact, and generates a prioritized remediation plan. It integrates through APIs rather than agents or network probes.  

Key Features 

• Prioritization by severity and business impact 

• Prioritized remediation plan generation 

• API-based integration without agents or network probes 

• Governance workflows for CISOs, compliance teams, and application owners 

4. Keyfactor

Keyfactor comes to PQC from the identity and PKI side, which shapes its approach. In 2025 the company announced its acquisition of InfoSec Global and CipherInsights, the latter a product from Quantum Xchange, and combined them with its certificate and signing portfolio to address quantum-safe readiness. 

AgileSec Analytics discovers and assesses cryptographic assets, including hidden cryptographic objects and quantum-vulnerable algorithms, by scanning code, binaries, CI/CD pipelines, file systems, cloud workloads, and network traffic. AgileSec Agility lets teams update and manage cryptography inside applications without modifying source code, and CipherInsights passively monitors network traffic for weak protocols, self-signed certificates, and unencrypted traffic.  

Key Features 

• Cryptography updates inside applications without source code changes 

• Passive network monitoring for weak or outdated protocols 

• Automated certificate lifecycle management 

• Quantum-ready PKI and signing infrastructure 

5. IBM

IBM approaches PQC through portfolio breadth, offering software and consulting under its Quantum Safe banner. IBM Guardium Quantum Safe monitors how an enterprise uses cryptography, uncovers vulnerabilities, and prioritizes remediation, and several related products cover specific jobs. 

IBM Guardium Cryptography Manager centralizes discovery, visibility, policy enforcement, lifecycle management, and remediation of cryptographic assets across hybrid environments, with a 90-day free trial. IBM Quantum Safe Explorer finds cryptographic assets in application source code, flags quantum-vulnerable algorithms, and maps dependencies. IBM Quantum Safe Remediator adds crypto-agile protection to applications and network traffic without code changes and supports hybrid classical and post-quantum cryptography.  

Key Features 

• Quantum Safe Explorer for source-code cryptographic discovery 

• Quantum Safe Remediator for crypto-agile protection without code changes 

• Transformation services through IBM Consulting 

6. Palo Alto Networks Quantum-Safe Security

Palo Alto Networks approaches PQC from the network. Its Quantum-Safe Security solution, introduced in January 2026 and generally available on January 30, 2026, is built around four stages: continuous discovery, risk assessment and prioritization, remediation, and governance, using existing network infrastructure as sensors rather than new software. 

Discovery ingests telemetry and logs from PAN-OS firewalls and Prisma Access, enriched with third-party security data, and reports on applications, devices, protocols, key exchange, algorithms, and certificates. The risk engine correlates cryptographic strength with business criticality and data shelf life. Remediation moves assets from current state to quantum ready to quantum-safe, and a Cipher Translation proxy can re-encrypt traffic from legacy and IoT systems into standards such as ML-KEM at the network edge without code changes.  

Key Features 

• Continuous discovery using existing network infrastructure as sensors 

• Automated framework auditing against NIST, FIPS 140-3, and DORA 

• Quantum readiness assessment services 

7. QuSecure

QuSecure is an early PQC specialist. It introduced QuProtect in 2022 as an end-to-end quantum resilient orchestration platform that combines post-quantum algorithms with a quantum-secure channel to protect communications and data. The company sells it as quantum security as a service, cloud-delivered in software to existing devices over existing infrastructure. 

The company describes the platform as securing networks with zero trust, next-generation standardized encryption, active monitoring, and attack remediation, and it serves enterprises and government agencies. The emphasis on orchestrating protection for communications means teams tend to pair it with separate inventory and business-prioritization work, which can run in parallel while protection is put in place. 

Key Features 

• Post-quantum algorithms combined with a quantum-secure channel 

• Cloud-delivered software for existing devices and infrastructure 

• Cryptographic orchestration across networks 

• Zero trust, active monitoring, and attack remediation 

8. SafeLogic

SafeLogic works at the cryptographic library layer, where it has built a reputation around FIPS 140-validated, crypto-agile software modules since its founding in 2012. Its SafePQ product reached general availability on June 10, 2026, with validated implementations of the NIST-standardized ML-KEM, ML-DSA, SLH-DSA, and LMS algorithms. 

SafePQ supports classical and post-quantum cryptography in one platform and hybrid deployments that keep systems interoperable during a phased transition, integrating with existing applications without redesign. Delivery runs through the SafeLogic Customer Portal and its Software Delivery Factory with API-based distribution. A separate product, SafeLogic CPM, covers discovering, prioritizing, remediating, and governing cryptographic risk, and the March 2026 partnership with QIZ extends its discovery options.  

Key Features 

• FIPS 140-validated, crypto-agile cryptographic libraries 

• Validated implementations of ML-KEM, ML-DSA, SLH-DSA, and LMS 

• Hybrid classical and post-quantum deployments 

How to Choose the Right Platform 

The best fit depends less on a feature checklist than on who owns the program and where the cryptography lives. Four common situations point in different directions. 

• A CISO-owned program across a large, scattered estate. Look for business context before discovery, execution through tickets and runbooks, and validated closure, so the CISO can answer where the program stands at any moment. Q.security is one example of a platform designed around that sequence. 

• A single-vendor ecosystem. Native telemetry and existing contracts can shorten onboarding. The trade-off is coverage outside that vendor’s footprint, so confirm how code, cloud, and third-party connections are handled. 

• A PKI-centric team. Certificate lifecycle, code signing, and PKI tooling are the natural starting point, with discovery layered on top. 

• A need for validated modules or fast protection of traffic. Validated libraries and protected communications address the replacement layer and data in motion, and they pair well with an inventory and prioritization platform. 

• A long-term focus on posture and agility. Continuous discovery, policy enforcement, and algorithm swaps without code changes to help you keep cryptography governed as standards evolve and make the next transition a routine change rather than a new project. 

Whichever route fits, run a pilot on a defined set of applications and judge each platform on whether findings turn into verified fixes. 

FAQ 

How is PQC remediation different from cryptographic discovery? 

Discovery builds an inventory, often as a cryptographic bill of materials (CBOM), showing which algorithms and certificates exist and where. Remediation uses that inventory to decide what to fix first, drive the changes through teams and tickets, and validate closure. Programs that stop at discovery tend to stall, which is why execution deserves its own evaluation criteria. 

What does AI-native mean for a PQC platform? 

An AI-native platform uses automation and AI-assisted analysis as core design elements, connecting fragmented data, interpreting findings, and guiding decisions such as algorithm choice. Platforms like Q.security use AI to propose business risk values for the customer’s team to review and to draw on a cryptographic knowledge base, with human review where judgment matters. 

Where should an enterprise start with PQC remediation? 

Start with business context: which applications, data, and business units matter most, and how long their data must stay confidential. Then connect that picture to the cryptographic inventory. Business-first platforms such as Q.security build that top-down view before discovery, so the first fixes land on high value assets and show visible progress. 

What deadlines and standards should teams plan around? 

NIST finalized its first PQC standards in August 2024, and NIST IR 8547 sets a path under which RSA and elliptic-curve cryptography are deprecated by 2030 and disallowed by 2035. NSA’s CNSA 2.0 phases most national security system types to PQC between 2030 and 2033, and the EU’s coordinated roadmap targets high-risk systems by the end of 2030.