Quantum Cryptography and AI Security Shake-Up: Entrust, Suzu Labs Lead Week of May 1st

The cybersecurity landscape shifted noticeably during the week of May 1st, 2026, as vendors across endpoint security and network monitoring announced partnerships, acquisitions, and product launches that collectively point toward two converging trends: quantum-safe cryptography and AI-driven security operations. Entrust and Suzu Labs led the charge with announcements that will reshape how enterprises approach cryptographic governance and adversarial validation.

Entrust announced a formal collaboration with IBM Consulting to help organizations transition toward quantum-safe security. The partnership combines IBM Consulting's quantum-safe transformation services with Entrust's expertise in PKI, cryptographic security, and hardware security modules. The joint solution establishes an enterprise-wide cryptographic operating model using the Entrust Cryptographic Security Platform as a unified control plane. This delivers continuous discovery, policy enforcement, and lifecycle automation across certificates, keys, and secrets. The announcement comes as quantum computing shifts from theoretical concern to board-level priority, with threat actors already harvesting encrypted data for future decryption.

According to the official press release, the collaboration addresses cryptographic sprawl—certificates, keys, and secrets spread across legacy systems, cloud services, and DevOps pipelines under inconsistent policies. One-time assessments and fragmented toolsets cannot address these gaps, underscoring the need for a unified control and remediation plane. Mike Baxter, Chief Technology & Product Officer at Entrust, stated that quantum preparedness starts with regaining control of cryptography across applications, clouds, identities, and infrastructure. The solution enables repeatable cryptographic governance, reduces outages and audit gaps, and systematically reduces cryptographic debt to support crypto-agility.

Entrust's official announcement details the structured, end-to-end program delivery including enterprise-wide cryptography discovery, business-aligned migration roadmaps, and managed execution with ongoing governance. Organizations can engage both firms to deliver enterprise-wide cryptographic posture management and quantum-safe transformation services. Whether enterprises actually execute these transitions before quantum computers mature remains the real question.

Meanwhile, Suzu Labs acquired Emulated Criminals, a boutique cybersecurity company specializing in adversary emulation and continuous red teaming. The acquisition strengthens Suzu Labs' ability to pair AI-driven security with human-led, continuous validation. Terms were not disclosed. The platform is known for its operator-led adversary emulation approach, replicating tactics of active threat actors across cyber, human, and physical domains to expose vulnerabilities that traditional testing misses.

With this acquisition, Suzu Labs established its new Continuous Adversarial Operations (CAO) practice, led by former Emulated Criminals leaders Dahvid Schloss and Ann Rinaldi. Their backgrounds in U.S. Special Operations and offensive cyber operations bring a "train how you fight" methodology to the CAO practice, which will execute named adversary operations against client environments at enterprise scale. The CAO team anchors Suzu Labs' Hacker in the Loop™ operating model.

Mike Bell, Founder and CEO of Suzu Labs, noted that AI is cheapening the discovery side of offensive security, but discovery was never where the real work was. The real work is judgment, campaign design, and detection validation. That is what Adversarial Exposure Validation is actually about, and none of it scales through automation alone. It requires Hacker in the Loop™, the human-led layer that automation cannot replicate. The CAO team delivers ongoing, multi-vector attack simulations including phishing, ransomware scenarios, insider threats, and physical intrusion testing designed to validate not just technology but also the people and processes defending it.

The Business Wire announcement confirms Suzu Labs now offers a full suite of services including penetration testing, adversary emulation, incident response, vCISO leadership, AI risk advisory, and exposure monitoring. As attackers increasingly leverage automation and AI, the need for continuous, realistic testing has never been greater. The acquisition positions Suzu Labs as a next-generation cybersecurity partner capable of helping enterprises proactively defend against evolving threats.

Auvik unveiled Auvik Aurora, a suite of AI-powered IT agents to help IT professionals proactively manage, troubleshoot, and optimize their networks. These agents work out of the box with no complex setup or AI tuning required. The Auvik AI agents leverage real-time network data including topology, device relationships, performance data, lifecycle status, and security vulnerability data to deliver actionable recommendations. They help teams prioritize alerts by impact and guide them to faster issue and ticket resolution.

Other vendors made notable moves during the week. AvePoint introduced new tools and enhancements to its Confidence Platform including cross-tenant license visibility, additional disaster recovery capabilities, support for Microsoft Azure PostgreSQL and Cosmos DB for infrastructure backup, a centralized policy vault, and similarity-based drift detection. BlueCat Networks launched innovations to enable agentic AI in network operations including a tech preview of its MCP Servers and expansion of LiveAssist, its virtual engineer. Cynet revealed new capabilities for its CyAI engine through automated analysis and input from CyOps, its 24/7 team of security experts. Datalink Networks announced a partnership with Arctic Wolf to deliver AI-led, outcome-driven security operations. Fortinet shared findings from the 2026 Global Cybersecurity Skills Gap Report. Intruder debuted its first AI pentesting agents.

Solutions Review's full roundup covers all these announcements in detail. The week's news collectively signals that 2026 is the year quantum-safe cryptography moves from theoretical to practical and AI-driven security operations become standard rather than optional. Organizations that wait until quantum computers mature to address cryptographic debt will find themselves in a position similar to companies that waited until ransomware became sophisticated to implement backups.

The industry is moving faster than most organizations can keep up. The question is whether enterprises will adapt or become the next case studies in security failures. The answer depends on whether they act now or wait until it's too late.

Artūras Malašauskas is an AI Systems Integrator with 20+ years of production-grade web engineering experience. He has designed, shipped, and scaled enterprise Python/PHP systems for logistics, SaaS, and public-sector clients. For the past year, he has focused exclusively on AI integrations: deploying open-source LLMs, building generative media pipelines (image, audio, video), and engineering multi-agent workflows for real production environments. His standard: reproducibility, security, cost-efficient inference—no vaporware. He documents and evaluates emerging AI tooling, separating verified capabilities from marketing noise. Technical editor at: muza-ai.eu, ai-verslas.lt, ai-naujinos.lt Connect on LinkedIn