Certes has introduced version 7 of its Data Protection and Risk Mitigation platform, expanding its capabilities to include post-quantum cryptography protections across edge, cloud, and on-premises environments. The new release is designed to secure data flows across hybrid infrastructures without requiring application rewrites or changes to existing systems. By applying encryption and segmentation policies directly to data in motion, the platform enables organizations to adopt quantum-resistant security measures while maintaining operational continuity.
The launch comes amid growing concern over “harvest now, decrypt later” attacks, where adversaries collect encrypted data today with the intention of decrypting it using future quantum computing capabilities. Certes v7 aims to address this risk by enabling organizations to implement quantum-safe encryption now, with the flexibility to evolve cryptographic methods as standards mature.
CEO Paul German emphasized a shift in security strategy, noting that traditional approaches focused on infrastructure and identity are no longer sufficient. Instead, the platform adopts a data-centric model that protects sensitive information regardless of where it resides.
At the core of the platform is what Certes describes as “cryptographic segmentation,” which applies encryption and access controls at the level of individual data flows. This approach is designed to limit lateral movement within networks, preventing attackers from exploiting compromised systems to access additional data. The platform also ensures that customer-owned cryptographic keys remain the control of cloud providers or third parties, supporting data sovereignty requirements and giving organizations greater control over who can access sensitive information.
A key enhancement in v7 is its focus on edge environments, where traditional security controls such as firewalls and VPNs are often less effective. By enforcing encryption and segmentation directly at endpoints, the platform aims to prevent attackers from turning unauthorized access into meaningful data exposure. Certes CTO Simon Pamplin noted that even if attackers breach a system, they would be unable to move freely or use stolen data due to the enforced cryptographic controls.
The platform also addresses emerging security challenges related to artificial intelligence, offering protection for data used in AI workflows, including training datasets, prompts, and model interactions. This is particularly relevant as organizations increasingly distribute workloads across multiple cloud and edge environments.
Certes claims that v7 can be deployed within days, as it does not require application refactoring or infrastructure redesign. Security policies can be centrally defined and automatically enforced across IT, operational technology (OT), and cloud systems.
The company positions the solution as a way for organizations to reduce the impact of inevitable breaches by minimizing the “blast radius” of attacks and making compromised data unusable. This approach is aimed at helping security leaders and executives balance the need for stronger protection with the operational challenges of implementing new security technologies With v7, Certes is aligning with a broader industry shift toward data-first security and quantum readiness, offering organizations a path to modernize their defenses while maintaining flexibility in an evolving threat landscape.
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