Curated cybersecurity insights, opinions, emerging technologies, AI security topics, and notable industry discussions.
1296 articles
Darktrace argues that AI-driven vulnerability discovery may outpace patching and recommends behavioral AI to identify and contain threats by spotting deviations from an organization’s normal activity.
Sophos CISO Ross McKerchar discusses AI’s current and potential cyber risks, cybersecurity team burnout, the Pacific Rim project, and a growing trust problem in the security industry.
NMFTA's sponsored article describes how cybercriminals exploit freight identities, booking-site credentials, and GPS spoofing for cargo theft, and recommends MFA, network segmentation, awareness training, patching, and trucking-specific security guidance.
A lab walkthrough demonstrates SSH local, dynamic, and remote forwarding to reach loopback-bound services and tunnel RDP, including how GatewayPorts can expose a forwarded port across a network. It also recommends controls for limiting and monitoring SSH tunnels.
An explainer on physiological and behavioral biometrics, the trade-off between False Acceptance Rate and False Rejection Rate, and how the Crossover Error Rate compares systems. It also notes privacy, usability, and cost considerations.
CIS describes how its preconfigured Hardened Images apply CIS Benchmark settings to cloud virtual machines, aiming to reduce manual hardening, misconfiguration, and configuration drift.
A security explainer details how GitHub Actions misconfigurations enabled supply-chain attacks, secret theft, and script injection, and recommends safer trigger use, careful handling of untrusted inputs, and pinning third-party actions.
The article explains how pickle-serialized model files can execute code and how fine-tuned models may exhibit trigger-dependent behavior. It cites security research and recommends verified providers, SafeTensors, and hash checks.
A hands-on lab demonstrates six ways to reach an Apache2 service bound to localhost through a compromised host, then outlines defenses including SSH restrictions, monitoring for tunnels and listeners, and network segmentation.
Trend Micro describes identity risks involving people, machine accounts and AI agents, and promotes unified visibility, risk prioritization and automated response as ways to detect and contain identity-based threats.
The article argues that the Alibaba incident highlights the limits of perimeter-based security and the value of Zero Trust, where access is context-based, pathways are constrained, and behavior is continuously validated.
A hands-on lab guide shows how Ligolo-MP coordinates agents, routes and TCP redirectors for single- and double-hop pivoting, localhost-only service access and compile-time agent obfuscation, highlighting risks from weak segmentation and egress controls.
Elastic says its platform supported Defence Cyber Marvel 2026 with a multi-tenant deployment for 40 Blue Teams, testing across 6,000 agents, peak ingestion of 800,000 events per second, and guarded, audited AWS Bedrock AI services.
A practical walkthrough demonstrates how Samba’s net rpc can enumerate and modify Active Directory accounts, groups, privileges and registry settings, and explains the risks of misconfigured ACLs and defenses for domain controllers.
Wiz says Anthropic’s unreleased Claude Mythos can autonomously find zero-days and develop exploits, and urges organizations to accelerate patching, reduce attack surfaces, and build AI-assisted security workflows.
A field guide to RSAC 2026 argues that AI is reshaping security work and creating new risks around agents and non-human identities, while faster attacks make automation urgent and core security fundamentals remain essential.
After an authorized researcher found a vulnerability in Huntress’s staging environment, the company says it fixed the issue within minutes, before the report arrived, with no customer impact. Huntress urges consistent security for non-production systems.
The article examines AI risks including hallucinations, bias, sycophancy and model collapse, and describes emerging defenses such as data provenance, lifecycle guardrails, red teaming and prompt-injection controls.
The author argues that AI is not yet reliable enough for autonomous, sophisticated attacks but could scale low-cost attacks against standardized environments. The article recommends basic security hygiene, hardening, and active monitoring.
The article uses the reported Anthropic source-code exposure and Mercor LiteLLM supply-chain compromise to highlight risks from release errors, dependencies and data flows, and urges stronger DLP, email security and visibility into AI use.
Sponsored analysis uses a reported Figure exposure of nearly 967,200 email records to explain credential stuffing, targeted phishing, help-desk social engineering and real-time phishing relays, then promotes Token’s biometric, hardware-bound authentication.
An Active Directory enumeration walkthrough shows how pywerview queries can reveal privileged accounts, Kerberoastable service accounts, delegation settings, and group memberships that may enable privilege escalation.
A review of Mr. Robot, WarGames, and Blackhat highlights realistic portrayals of social engineering and system access, contrasts them with Hollywood’s instant-hack tropes, and notes how WarGames influenced U.S. computer-security policy.
Pillar Security demonstrated how invisible Unicode instructions in shared AI coding rules files could prompt tools such as Cursor and GitHub Copilot to generate malicious code. The article also says explicit security constraints reduce insecure coding patterns.
