Quantum computing has created a new kind of security urgency.
For years, encryption has been the primary safeguard organizations trusted to protect sensitive data in motion, but the rise of post-quantum cryptography has changed the conversation. The concern is no longer just theoretical; attackers can collect data protected by quantum-vulnerable encryption today and hold it until quantum computers can decrypt it in the future.
In response, organizations are beginning to transition to post-quantum cryptography (PQC). But preparing for this shift introduces a new operational challenge: security teams are being asked to manage future cryptographic risk without the cryptographic observability needed to understand the cryptography being used across their environments.
That is where PQC readiness must begin. Not with assumptions. Not with static inventories. Not with a list of standards that may or may not reflect what is happening on the network.
It must begin with cryptographic observability.
The PQC problem is bigger than cryptography
Most organizations know they will eventually need to move toward quantum-safe cryptography. The harder part is understanding where to start.
Modern hybrid cloud environments are too dynamic for manual cryptographic inventory alone. Applications change. Services move. New workloads appear. Legacy systems keep running. TLS connections and SSH communications happen continuously across users, hosts, applications, and infrastructure. That makes continuous cryptographic asset discovery essential for understanding which cryptographic methods and dependencies are active.
Without live visibility into those communications, teams are left trying to answer important questions with incomplete information:
- Where are quantum-vulnerable encryption still in use?
- Which systems are involved?
- Which communications are already using hybrid or PQC-ready encryption?
- Which assets should be migrated first?
- How much progress has been made?
These are not theoretical questions. They determine whether an organization can turn PQC readiness into an actionable program.
The Vectra AI Platform has ingrained cryptographic observability into its approach to modern security. Using dashboards and continuous visibility, teams can identify cryptographic protocols and algorithms in use, highlight potential exposure to quantum-vulnerable encryption, and prioritize cryptographic modernization efforts.
Cryptographic observability changes PQC readiness
A PQC migration without visibility quickly becomes an exercise in guesswork.
Security teams may know they need to move toward quantum-safe cryptography, but they often lack the operational insight required to act with confidence. They cannot easily determine which systems still rely on quantum-vulnerable encryption, which communications already support hybrid or post-quantum cryptography, or where migration efforts should begin.
That visibility gap creates risk. Organizations can spend months planning PQC initiatives while still lacking a clear understanding of their real cryptographic exposure across the network.
Vectra AI is working to solve that problem by expanding cryptographic observability across TLS and SSH communications. The goal is to give security and infrastructure teams continuous visibility into how cryptography is being negotiated and used across users, hosts, applications, and services.
This approach moves beyond static inventory and point-in-time assessments. By applying encrypted traffic analysis to live cryptographic telemetry from encrypted network communications—without decrypting payloads— organizations can identify where quantum-vulnerable algorithms remain active, where hybrid cryptography is already deployed, and where post-quantum readiness is progressing.
That visibility matters because modern environments are constantly changing. Applications evolve, cloud workloads move, new services appear, and legacy systems remain active longer than expected. TLS and SSH traffic continuously connects critical systems across hybrid environments, making cryptographic posture difficult to understand without network-level observability.
Vectra AI’s observability is designed to help organizations operationalize PQC readiness and support migration programs aligned with internal policy and the NIST PQC standards. This includes visibility into negotiated key exchange methods, supported cryptographic groups, hybrid-PQC usage, and post-quantum cryptographic support across clients, servers, and active connections.
The value for customers is not simply knowing which algorithms exist in the environment. It is understanding where the greatest cryptographic exposure exists and where action should be prioritized first.
With this level of observability, teams will be able to:
- Identify systems still using quantum-vulnerable cryptography.
- Detect where hybrid or PQC-ready encryption is already deployed.
- Understand which clients, hosts, and communications support post-quantum cryptography.
- Measure migration progress over time.
- Prioritize remediation efforts based on exposure and operational importance.
This changes PQC readiness from a theoretical future initiative into a measurable operational program.
Instead of relying on assumptions or incomplete inventories, organizations gain evidence-based visibility into their cryptographic posture. Security teams can focus remediation efforts where they matter most, track progress toward quantum-safe readiness, and provide leadership with measurable proof that cryptographic risk is being reduced over time.
That is the real value of cryptographic observability: turning PQC readiness from a planning discussion into actionable security operations.
The value of PQC readiness is prioritization, not just inventory
Cryptographic inventory is useful, but it is not enough.
A list of vulnerable algorithms does not tell a team what to fix first. A count of non-PQC connections does not explain which ones matter most. A dashboard without risk context can still leave teams with too many decisions to make manually.
The next step is prioritization.
The Vectra AI Platform inventories cryptographic usage, identifies quantum-vulnerable exposure, prioritizes risk based on user-defined importance, and tracks migration to PQC over time. As a result, teams can move from a broad visibility problem to a focused operational workflow:
- See which cryptographic algorithms are in use.
- Identify the most common vulnerable algorithms.
- Understand which clients, hosts, and connections are non-PQC, hybrid, or PQC-ready.
- Prioritize high-risk assets based on user-defined importance.
- Track the percentage of traffic moving from non-PQC to hybrid and PQC-ready encryption.
That is how PQC readiness becomes manageable. It gives practitioners a way to focus the work, and leaders a way to understand whether risk is decreasing.
Why PQC readiness matters to security leadership
For executives, PQC readiness is not only a technical migration. It is a question of control.
- Can the organization prove it knows where cryptographic exposure exists?
- Can it show that the most important risks are being addressed first?
- Can it demonstrate progress over time?
- Can it explain readiness in a way that supports compliance, resilience, and customer trust?
This is why PQC fits naturally into continuous compliance validation and assurance. Modern compliance requires ongoing proof that assets are accounted for, exposures are reduced, and controls are operating effectively across hybrid environments.
PQC metrics give leaders a way to evaluate which controls are working, where gaps remain, and whether the organization is making measurable progress toward quantum-safe readiness.
The Vectra AI Platform is designed to deliver this value to leaders because we understand that modern network protection depends on knowing who and what is on the network, how it is behaving, where risk exists, and where action is needed.
Why this matters to practitioners
For practitioners across security operations (SecOps), infrastructure security, and network security monitoring, the value is immediately tangible.
PQC readiness can feel like a large, ambiguous mandate. Security and infrastructure teams may understand the direction but still struggle with the first operational step. Vectra AI makes that step clearer by turning security telemetry about cryptographic usage into something teams can observe, measure, and act on.
As visibility expands across SSH and TLS, practitioners will be able to understand which clients and hosts are using PQC, hybrid, or non-compliant connections across encrypted traffic. That gives teams evidence they can use to drive migration conversations with application owners, infrastructure teams, compliance teams, and leadership.
It also helps avoid wasted effort. Instead of treating every cryptographic issue equally, teams can focus on the systems and connections that create the most risk.
The goal: measurable progress toward quantum-safe cryptography
A mature PQC readiness program should not depend on guesswork. A security practitioner should be able to say: we know which cryptographic algorithms are being used, where non-PQC exposure remains, which assets matter most, and how our migration is progressing.
That is the outcome Vectra AI is working toward:
- Continuous, real-time visibility into cryptographic usage.
- Clear identification of quantum-vulnerable communications.
- Risk-based prioritization using entity importance and exposure.
- Tracking that shows movement from non-PQC to hybrid and PQC-ready encryption.
- Executive reporting that turns cryptographic posture into a measurable security and compliance story.
PQC readiness is not just about preparing for a future algorithm change. It is about reducing uncertainty today. The organizations that make the most progress will be those that can clearly see their cryptographic reality, prioritize what matters, and prove improvement over time. The Vectra AI Platform will enable that progress.