Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Quantum computing is an emerging technology that presents significant data security risk to global organizations that rely on quantum vulnerable encryption algorithms, systems, and infrastructure. The threat isn’t theoretical. The risk of quantum-enabled attacks will fundamentally reshape how organizations encrypt their data, design their digital trust infrastructure, and maintain agility in production cryptographic systems.

Beyond hardware failures and cyberattacks, global events and regional instability can halt critical operations without warning. Modern businesses are exposed to forces outside their control, and a single disruption can ripple across systems, teams and customers. You can't predict downtime or what damage it will cause.

A vulnerability assessment is a systematic process for identifying, classifying, and prioritizing security weaknesses across an organization's IT infrastructure, software, and hardware before attackers can exploit them.

As endpoints became more powerful, more mobile, and more exposed, they also became more prone to attacks. Endpoints remain one of the most targeted entry points for attacks. Attacks today are no longer random; they are targeted, deliberate, and increasingly powered by automated AI discovery tools that hunt for unmanaged gaps. Malware, ransomware, and phishing-based intrusions continue to increase, and their first level of interaction often happens on an endpoint.

A polymorphic virus is one of the hardest types of malware to detect because it can change into different forms. Because these advanced threats can modify their code in specific ways, they are very hard for standard signature-based antivirus systems to detect. Polymorphic viruses, on the other hand, use dynamic code encryption and mutation engines to alter their code structure, making them even harder to detect. The need for strong defenses has never been greater as hackers continue to use these methods.

Agentic AI does not just answer, it acts. The moment an agent has a reachable control plane, you have effectively created a “remote hands” interface into your environment. In our recent blog post, “When AI Can Act: Governing OpenClaw,” we explained why this shift breaks old security assumptions and why governance must be continuous, enforced, and context-aware rather than a one-time checklist.

Read the takeaways from ConFoo 2026, including putting guardrails where requests happen, auditing tool calls, treat dependency updates like production access.

AI pentesting has been making waves and rivals the power of human hackers in ways we weren’t expecting. But frequently, companies are looking for pentesting to achieve and support their compliance certifications.

On May 21, 2019, LinkedIn’s URL shortener went down. The certificate had expired. Millions of people cried out in terror when they couldn’t click on AI link bait. The interesting part: LinkedIn had renewed the certificate ten days earlier. The renewal succeeded. The certificate just never made it to the server. The renewed cert existed somewhere, but the server still served the old one. Most certificate automation is built to prevent the “I forgot to renew” problem.

More than 90% of successful cyberattacks start with email, according to the U.S. Cybersecurity and Infrastructure Security Agency (CISA). That’s not because security teams lack tools, but because attackers target human decision-making. For years, organizations treated email security as a filtering problem: block enough malicious messages, and risk goes down. That assumption no longer holds.