Cybersecurity
30 articles
What Are the Core Principles of Quantum Machine Learning?
Quantum-powered intrusion detection systems have already achieved an astonishing 99.
Why Post-Quantum Cryptography Is Essential for Digital Security
Information encrypted today, from financial transactions to personal data, faces a silent, immediate threat: 'Harvest Now Decrypt Later' (HNDL).
Militaries Pursue Predictive AI and Digital Twins
The U.S. Army's Network Command (NETCOM) endures approximately 1.2 million cyber attacks daily, a figure reported by Breaking Defense . This relentless assault strains human-centric defenses, threaten
What is Shift-Left Security in Data Pipelines and Why Does it Matter?
Fixing a single security vulnerability in production can cost up to 100 times more than addressing it during the initial coding phase, according to Wiz .
What is Federated Learning and Why Does It Matter for AI?
Even when patient data never leaves a hospital's servers, advanced AI models can still reveal sensitive information through shared updates, challenging the core promise of privacy in federated learnin
What is Homomorphic Encryption and Its Role in Data Privacy
A novel algorithm now allows encrypted string comparisons, enabling banks to match loan applicants against fraud databases without ever decrypting sensitive personal data.
What is Secure Software Supply Chain Management?
When 20 software components each have just a 2% chance of breach annually, the combined system faces a staggering 33% chance of compromise within a single year, according to Rapidfort .
What is quantum-resistant cryptography and why does it matter for future data security?
Two independent analyses suggest that quantum computers capable of cracking current encryption systems could become available before the end of the decade, according to Nature .
What are DevSecOps Principles for Secure Software Development?
Eighty-seven percent of organizations currently operate with at least one exploitable vulnerability, affecting 40% of all their services, according to Datadog .
AI Cybersecurity Tools: Market Trends and Limitations
The U.S. recorded 471.2 million health data breach victim notices in the first half of 2026, surpassing the total for all of 2025, according to Forbes . This surge exposes millions to identity theft a
How to Create Effective AI Policy for Employees in 2026
Data breaches linked to unsanctioned AI tool use surged by 25% last year, according to Cybersecurity Insights.
Top Tech Hiring Themes Emerge for AI, Big Data, and Cloud
In July, businesses across all sectors cut approximately 26,000 tech jobs, creating uncertainty for many professionals.
What Are Digital Twins and Their Security Risks?
A highly accurate digital twin of a power system could be used to determine which parts of the system to attack to maximize the likelihood of service disruption to a specific facility, according to Pu
AI in Cybersecurity: CTF Performance and Limitations
At BSidesSF 2026, AI agents cleared all 52 challenges in the jeopardy-style CTF within minutes, outperforming nearly all human teams, according to Simulationslabs .
Index Ventures closes $2B for AI, cybersecurity, infrastructure
Index Ventures just closed $2 billion across three new funds, according to Tech Funding News .
What is DoD Cloud Strategy and why does it matter?
On February 4th, the Department of Defense released its new Cloud Strategy, explicitly stating its significance for warfighting efficacy, according to Doncio Navy Mil .
What is the human oversight tax in cybersecurity AI?
A recent industry report indicates that 60% of cybersecurity AI alerts still require human validation, challenging the notion of fully autonomous security, according to Cybersecurity Ventures .
Proactive Cloud Security: Why Europe's Sovereign Cloud Isn't Fully Isolated
In 2026, over 90 organizations reported breaches involving legitimate AI tools used as attack channels, demonstrating a significant shift in the tactics employed by threat actors.
Cribl acquires CardinalOps to boost SecOps capabilities
On July 14, 2026, Cribl, a data stream management company, announced its acquisition of CardinalOps.
Key AI Cybersecurity Solutions for SMBs in 2026
In the first four months of 2026, cyberattacks on small to medium businesses masquerading as popular AI tools surged almost five times compared to the previous year, with over 33,300 incidents detecte
What is Quantum-Resistant Cryptography and Why Does it Matter in 2026?
France's cybersecurity agency, ANSSI, will soon cease certifying security products lacking quantum-resistant encryption.
AI Supply Chain Optimization Strategies for the Future
The global market for AI in logistics is projected to explode from USD 24.
DMCC launches new cybersecurity platform to boost Dubai's tech ecosystem
Dubai's DMCC business district, already home to over 4,000 technology companies, has just launched a dedicated hub for cybersecurity, aiming to house more than 200 specialized firms.
Why Small IT Teams Can Start With Lunar Before Buying a Full Dark Web Intelligence Stack
Small IT teams can leverage Lunar's free Community plan to assess credential and session exposure on the dark web before committing to a full, expensive dark web intelligence stack. This approach helps them understand their specific exposure needs and prioritize security efforts without draining budget or attention.
What is Federated Learning and How to Secure Your Data
Even when raw patient data remains private, model updates shared during federated learning training for COVID-19, Monkeypox, and Breast Cancer diagnoses can inadvertently leak sensitive information, d
DMCC Cyber unites Dubai's cyber firms, strengthens regional security
Dubai's DMCC, already home to over 200 cybersecurity companies, has just launched a dedicated vertical, DMCC Cyber, to consolidate and accelerate the sector's growth.
What Are AI SIEM Solutions for Enterprise Cybersecurity Automation?
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What is Shadow AI and How Can Enterprises Detect It?
In 2023, a Samsung engineer uploaded sensitive internal source code to ChatGPT, prompting the company to ban generative AI tools enterprise-wide.
The State of Long-Horizon AI Agents: Benchmarks & Vulnerabilities
AgentLAB, the first benchmark of its kind, reveals that even advanced LLM agents are highly susceptible to adaptive, long-horizon attacks, exposing a critical vulnerability in their design.
Top 7 AI Cybersecurity Defense Tools for Enterprises in 2026
Cyberattacks leveraging AI increased by 300% last year, making traditional signature-based defenses miss 40% of novel threats.