Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Secure by Default: Why Snyk and Augment Code are the New Standard for AI Development

AI coding assistants have fundamentally changed development velocity. With tools like Augment Code, developers can now build and iterate at a pace that was unimaginable just a few years ago. However, this explosion in speed has created a new challenge: security teams, often still relying on manual review processes, are becoming the bottleneck.

The Ultimate 101 Guide to MITRE ATLAS

Artificial intelligence is increasingly ingrained in every aspect of healthcare diagnostics, financial systems, autonomous vehicles, and critical infrastructure. Still, the reality has set in: these systems are under threat unlike anything we have seen, and existing cybersecurity frameworks were never designed to handle AI-specific threats.

Best Tax Accountant for Crypto Revealed: Inside Crypto Tax Made Easy's Specialist Approach

Tax preparation for cryptocurrency requires specialized knowledge most traditional accountants lack. Standard CPA training doesn't cover DeFi protocols, NFT transactions, or staking rewards. Generic tax services accept automated reports at face value and miss deductions worth thousands. Finding the best tax accountant for crypto means looking beyond conventional accounting firms toward specialists who live and breathe digital asset taxation.

The Legitimate Bot Traffic Security Teams Can No Longer Overlook

Security teams have spent years refining their ability to detect and stop malicious bots. That work remains critical. Automated traffic now accounts for more than half of all web traffic, according to Imperva's 2025 Bad Bot Report. What has changed is the scale and influence of legitimate bots and the blind spots they introduce into modern security programs.

Exabeam Introduces First Connected System for AI Agent Behavior Analytics and AI Security Posture Insight

Industry leadership expanded with connected capabilities that not only uncover AI agent activity, but centralize investigation, and deliver measurable AI security posture insights.

Automated Red Teaming: Capabilities, Pros/Cons, and Latest Trends

Automated red teaming uses software to simulate cyberattacks and test security defenses, helping organizations find and fix vulnerabilities more efficiently. It automates tasks like credential harvesting, system enumeration, and privilege escalation to test security posture in a continuous, scalable manner. Beyond traditional systems, automated red teaming can also be used for AI systems, where it tests for risks like data poisoning or prompt injection in generative models.

DevOps Pillars - Top 15 DevOps Principles for 2026

DevOps has become an important practice for companies looking to efficiently meet customers’ expectations, accelerate software delivery, and optimize resources. Companies that embrace the DevOps culture can smoothly merge their development and operations teams, resulting in faster releases and better development.

Tame the Vault Sprawl: Bring All Your Secrets Under Control in 60 Seconds

This 60-second video highlights the growing challenge of secret sprawl—developer-created vaults, duplicate credentials, and inconsistent security policies scattered across cloud environments. It shows how this fragmentation increases risk, complicates compliance, and opens the door to breaches. The video introduces CyberArk Secrets Hub as the solution: a centralized, policy-driven platform that unifies visibility, enforces standards, automates rotation, and preserves existing cloud-native and HashiCorp workflows. The result? Simplified oversight, stronger security, and audit-ready operations.

6 Cyber Risk Quantification (CRQ) Trends That Will Define 2026

‍Cyber risk quantification (CRQ), the process of modeling cyber threats and forecasting loss outcomes, is becoming foundational to how organizations govern and respond to cyber exposure. What began as a specialized function is now shaping the priorities of security operations and enterprise risk management as a whole.

Secrets in the Machine: Preventing Sensitive Data Leaks Through LLM APIs

In this webinar, we break down a simple but increasingly common problem: secrets leak wherever text flows, and modern LLM apps and agentic workflows are built to move text fast. We walk through concrete demos showing how API keys and passwords can surface through RAG-based assistants when secrets accidentally live in knowledge bases (tickets, docs, internal wikis). We also show why “just harden the system prompt” isn’t a reliable fix, and how output-only redaction can be bypassed (for example by simple formatting/encoding tricks). Most importantly, we explore real-world agent architectures.