Curated cybersecurity insights, opinions, emerging technologies, AI security topics, and notable industry discussions.
1292 articles
The article argues AI pentesting can enable more frequent testing without larger budgets. It outlines risk-based, change-aware testing and describes Aikido’s product and pricing model; cost and speed comparisons are vendor claims.
The opinion argues that faster vulnerability discovery, including through AI, should not be confused with greater risk. It urges security teams to prioritize remediation by business impact and focus on resilience and outcomes.
An exam-preparation guide explains five ISC2 CC domains through key concepts and common traps, including risk decisions, recovery objectives, access management, network and cloud security, and incident-response order.
An explainer distinguishes code reachability from exploitability, showing how attacker-controlled input, configuration, privileges and deployment affect CVE risk. Lodash examples illustrate different outcomes; Aikido also describes its exploitability-analysis product.
Volexity demonstrates using Volcano’s MCP integration to analyze a VM infected with a UTA0560 exploit chain, annotate artifacts, create IOCs, and schedule endpoint collections for follow-up.
The article warns that managing many job applications can make unsolicited recruiter messages harder to assess, while noting the reports cited do not establish a causal link. It advises verifying recruiters and protecting accounts.
A contributed article argues that AI decision models could make SOC triage faster and more auditable, but reliable verdicts require forensic evidence and up-to-date knowledge of an organization’s normal activity.
Aikido’s guide compares seven Horizon3 NodeZero alternatives by testing scope, agentic and source-code capabilities, deployment, and remediation. It favors Aikido for application testing but says it does not replace NodeZero’s internal-network, Active Directory, orcloud
A vendor-authored guide compares nine Escape alternatives across AI pentesting, code access, validated fixes, deployment location and testing scope, and offers criteria for assessing exploit validation, coverage and processing requirements.
An opinion article links the arrest of a ransomware negotiator charged in connection with ShinyHunters to weaknesses in crisis-vendor oversight, and recommends pre-vetting vendors, checking principals and conflicts, and ongoing review.
A federal agency tested assumed attacker footholds site by site. Reviews found no successful lateral movement, but only about one in ten sites detected simulated activity, and hashes were retrievable on hosts with monitor-only endpoint agents.
The article argues AI-generated development can amplify unsafe or unnecessary dependency choices, citing Sonatype and external research, and recommends live supply-chain intelligence, automated policy guardrails, and tracking remediation costs.
A cybersecurity leader argues that AI accelerates attacks and could challenge established assumptions about cryptography, while urging security teams to prioritize the integrity of systems and AI agents.
A SANS contributor argues that DFIR practitioners should independently validate AI findings, document tools and versions, and retain human control over irreversible forensic and incident-response actions.
Netskope CISO James Robinson recounts his path into security and shares advice on curiosity, mentorship, hiring for mindset, and supporting team culture.
Sekoia’s article explains how integrated security operations centers (ISOCs) combine SOC capabilities in one operating model, outlining potential efficiency gains, buyer considerations and the risk of vendor lock-in.
The guide explains how ITDR monitors identity activity for suspicious logins, account takeover, token persistence and privilege abuse, and can revoke sessions or disable accounts. It also cites Huntress-reported identity and ransomware precursor statistics.
Researchers describe AI-generated phishing and malware from several threat groups as error-prone and noisy, exposing infrastructure and weakening campaigns. They say sophisticated espionage groups remain cautious about adopting AI broadly.
F-Secure says its Scam Encyclopedia covers more than 50 consumer fraud types, explains scams from victims’ perspectives, and will be updated as tactics evolve. The company cites a 52% rate of scam victims losing money.
Experts argue that organizations should prioritize vulnerabilities based on their own assets, exposure and attacker activity—not scores alone—as growing volumes of flaws strain manual processes.
Intruder argues its AI pentester can find complex flaws and provide code-level fixes, while noting limits such as unpredictable coverage, cautious scope handling, and higher-than-warranted risk ratings.
CYFIRMA says deepfake fraud, synthetic-media volume, provenance adoption and regulation are tracking its forecasts, while 2026 fraud losses will test its projection of $5–10B or more annually.
A general guide explains ransomware’s typical entry and encryption process, warning signs, recovery limits, and steps organizations can take to reduce risk, including MFA, tested backups, patching, and employee training.
The guide explains who Texas HB 3834 covers, annual cybersecurity training and certification requirements, and how in-scope organizations can meet the added AI awareness training requirement effective September 1, 2025.
