See It, Classify It, Secure It: A Practical Guide to Cloud Data Discovery

Data security has a sequencing problem. Most organizations invest heavily in encryption, access controls, and data loss prevention—before they know where their sensitive data actually lives. Those controls are not wrong. However, they are blind. They protect what is already mapped, not what is hidden. The result is a data visibility gap that grows with every cloud migration, SaaS adoption, and employee AI prompt. Data you cannot see cannot be protected. In 2026, that...

Data security has a sequencing problem. Most organizations invest heavily in encryption, access controls, and data loss prevention—before they know where their sensitive data...

Key Takeaways • Data exfiltration spikes 720% in the 24 hours before a layoff — but suspicious activity often starts up to six months earlier. • 59% of departing employees take confidential data with them, with personal cloud storage now the #1 exfiltration channel. • Traditional DLP tools cannot protect files after they leave the corporate network — once a document reaches a personal device, DLP has no visibility. • Persistent document-level encryption renders...

Key Takeaways • Data exfiltration spikes 720% in the 24 hours before a layoff — but suspicious activity often starts up to six months...

Key Takeaways • In May 2026, attackers stole 275 million records from an education platform — the largest education data breach on record. • Platform-level encryption did not protect the content. Once attackers reach the application layer, data is fully readable. • Paying the ransom for “data destruction” is unverifiable — and not a security strategy. • The fix is data-centric security: encrypt the content itself, not just the container. A criminal group...

Key Takeaways • In May 2026, attackers stole 275 million records from an education platform — the largest education data breach on record. • ...

May 14, 2026
Blog, PQC

The Mythos Shock: When AI Becomes the Threat In April 2026, Anthropic revealed that its next-generation model, Claude Mythos Preview, had autonomously discovered thousands of high-risk vulnerabilities across major operating systems and web browsers. Due to its potential risks, access to the model was not made public but instead restricted to select partners under Project Glasswing. Somewhere in a government data center, a server rack is quietly archiving petabytes of encrypted network traffic—financial records,...

The Mythos Shock: When AI Becomes the Threat In April 2026, Anthropic revealed that its next-generation model, Claude Mythos Preview, had autonomously discovered thousands...

The moment a company enters a merger or acquisition process, it opens a document repository containing almost everything an adversary could want: unreported financials, IP portfolios, regulatory filings, strategic plans, and personnel records. For weeks or months, those documents are deliberately shared with counterparties and advisors outside the organization’s normal security perimeter. That window of deliberate openness is one of the most dangerous periods in any organization’s security calendar. And attackers know exactly when...

The moment a company enters a merger or acquisition process, it opens a document repository containing almost everything an adversary could want: unreported financials,...

The Stakes Have Changed for Defense Contractors For years, cybersecurity compliance in the defense industrial base (DIB) was largely a matter of self-attestation. Companies certified their own security posture, and enforcement was inconsistent. That era is ending. The Cybersecurity Maturity Model Certification (CMMC) 2.0 framework, now entering full enforcement as part of the U.S. Department of Defense (DOD)’s acquisition process, fundamentally changes the equation. Third-party assessments, stricter requirements for handling Controlled Unclassified Information (CUI),...

The Stakes Have Changed for Defense Contractors For years, cybersecurity compliance in the defense industrial base (DIB) was largely a matter of self-attestation. Companies...

Employees no longer wait for IT to provision the tools they want or need. When a faster, smarter alternative exists outside the corporate firewall, they find it, use it, and rarely report it. This is the reality of Bring Your Own AI, or BYOAI, a trend that has quietly become one of the most significant data security challenges facing enterprises today. Unlike traditional shadow IT, BYOAI carries a unique risk: it doesn’t just create...

Employees no longer wait for IT to provision the tools they want or need. When a faster, smarter alternative exists outside the corporate firewall,...

Artificial intelligence is already a reality, driving hiring decisions, credit scoring, medical diagnostics, and industrial systems across Europe and beyond. Recognizing the scale of this transformation, the European Union has enacted the world’s first comprehensive legal framework governing AI: the EU AI Act. Fully applicable from August 2026, the Act introduces binding obligations for organizations that develop, deploy, or use AI systems — and the compliance clock is running. For CISOs, compliance officers, and...

Artificial intelligence is already a reality, driving hiring decisions, credit scoring, medical diagnostics, and industrial systems across Europe and beyond. Recognizing the scale of...

Most enterprise security programs are designed to stop threats that come from the outside — hackers probing network perimeters, phishing emails harvesting credentials, or ransomware spreading through endpoints. But some of the most costly data leaks never involve a single line of malicious code. They happen in plain sight, in your own offices and facilities, during a routine vendor visit or a factory inspection. For organizations in consumer goods, luxury retail, fashion, and manufacturing,...

Most enterprise security programs are designed to stop threats that come from the outside — hackers probing network perimeters, phishing emails harvesting credentials, or...

Personal AI Assistants Are Becoming Autonomous Personal AI assistants are no longer defined by their ability to answer questions; instead, they are increasingly defined by their ability to perform tasks.. Increasingly, they are expected to manage tasks, coordinate systems, retain long-term context, and operate continuously in the background. What once felt experimental—AI acting on behalf of users—is quickly becoming a baseline expectation. This shift marks a turning point. As assistants transition from responding to...

Personal AI Assistants Are Becoming Autonomous Personal AI assistants are no longer defined by their ability to answer questions; instead, they are increasingly defined...

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See It, Classify It, Secure It: A Practical Guide to Cloud Data Discovery

720% Spike: Why the Day Before a Layoff Is Your Highest Data-Loss Risk

275 Million Records, One Compromised Platform: What the 2026 Education Sector Breach Tells Us About Data Security

Harvest Now, Decrypt Later: Why the Quantum Threat to Your Document Archives Is Already in Progress

The M&A Data Room: Why Virtual Due Diligence Has Become a Prime Espionage Target

CMMC 2.0 Compliance: How Defense Contractors Can Protect CUI

BYOAI Security Risks: How to Manage Bring Your Own AI in Your Organization

The EU AI Act Explained: What Enterprises Need to Know — and How to Prepare

Photographed in Plain Spot: On-Site Screen Leakage In Retail, Fashion, and Manufacturing

OpenClaw (Moltbot, Clawbot): What This AI Agent Reveals About the New Wave of Personal AI Assistants and Cyber Risk