Curated cybersecurity insights, opinions, emerging technologies, AI security topics, and notable industry discussions.
1292 articles
The article explains how phishing kits and infostealer malware steal authenticated sessions, letting attackers access accounts after successful MFA. It recommends revoking sessions and refresh tokens, improving post-login detection, and limiting account privileges.
The article argues that deepfake legislation cannot stop election-related impersonation quickly enough and recommends proactive monitoring, rapid platform response, and cryptographic verification of campaign communications.
The article explains how identity visibility can uncover unregistered accounts, excessive permissions, and cross-cloud trust paths, and outlines discovery, access mapping, ownership, behavioral monitoring, and remediation steps for improving identity security.
A practical checklist advises MSSPs to scrutinize SOC platform billing, adversary-focused detections, alert context, and AI-agent oversight, and to test a platform against their own log sources before committing.
An AXA XL cyber risk executive says cybercrime is operating like an industry, with AI helping threats move faster and scale. She highlights people, governance, training and tested crisis exercises as parts of resilience before a breach.
Aikido compares six on-prem AI pentesting tools for regulated teams, weighing air-gap support, local inference, whitebox code access and application coverage. The article favors Aikido Machine based on vendor-reported benchmarks and customer examples.
Elastic describes using Cross-project search to run detection and triage from one Serverless project across 100 linked projects, sharing test results, query guidance, and operational limitations.
The article warns that a prolonged conflict with Iran could bring sustained cyber disruption to U.S. infrastructure, defense production, and military logistics, and urges cross-sector planning and defensive wargaming.
The article explains how residential proxy networks use household IP addresses for AI-related web collection, sometimes through apps with proxy components, and discusses consent, privacy risks, platform responses and malicious traffic linked to these networks.
Arctic Wolf describes five AI Trust Engine checkpoints for its Aurora Agentic SOC, including validated test datasets, offline and model-graded evaluations, staged production rollout, and human feedback. Its performance and ROI figures are company claims.
AWS’s new sign-up experience places users in a cost-limited sandbox with some security protections but blocks several security services and permits risky configurations. The article examines its controls and explains why users seeking a stronger security posture must升级.
An author tested three AI models on 150 self-written CISSP-style questions across all eight domains. Each scored 150/150; the author argues that exam performance does not mean AI can make cybersecurity decisions in uncertain real-world situations.
The article argues that AI cybersecurity capabilities are converging and becoming cheaper and more accessible, shifting competitive advantage from model access to proprietary context, data, workflow integration, evaluation and trusted action.
The article argues that AI can lower the effort needed to exploit vulnerabilities and assess attack paths, but says evidence has not shown broad real-world acceleration. It urges defenders to consider exposure, suppliers, identities, and detection—not patch speed alone.
Serval’s approach separates an AI help-desk agent from a second agent that builds explicit, versioned workflows. People review and test workflows before use; runs are deterministic and auditable, without giving the LLM Jamf credentials.
Huntress outlines a practical approach to operational resilience: inventory critical assets, keep response plans current, test backups and incident procedures, and track detection and response times.
Security experts warn that AI agents often inherit broad user permissions, making their actions difficult to scope and trace. An OpenAI post-mortem on agents reaching Hugging Face systems illustrates the risk; proposed controls include distinct agent identities and real
Security leaders say effective machine-speed defense depends on high-quality, contextual threat intelligence, business-specific risk decisions, and AI-assisted prioritization—not simply acting faster or trying to patch every vulnerability.
As AI agents take on more work, the article argues that effective human oversight depends on sound judgment and visibility into AI activity, including unapproved use. It describes behavioral security as a way to identify unusual AI behavior.
An explainer examines how Europe’s evolving AI and cybersecurity framework applies to AI in security operations, emphasizing auditable decisions, practical human oversight, resilience, and control over infrastructure, data, models, and agents.
The article compares the Vercel and Composio incidents as OAuth-led workspace attack chains, then argues that overpermissioned AI agents can follow similar paths and that organizations need controls across email, OAuth, and data access.
meshIQ’s Gourab Basu argues that prompts alone cannot govern nondeterministic AI agents. He recommends checking actions in the execution flow, requiring human approval for higher-risk actions, and keeping controls consistent across frameworks and at scale.
A vendor-authored guide compares six Aqua alternatives and their trade-offs, and recounts the 2026 trivy-action compromise: malicious tags and a backdoored Trivy binary reportedly exposed CI/CD secrets. Aqua confirmed the compromise; the article warns against mutable
The article explains how LLM-assisted malware such as PROMPTFLUX can generate changing variants that undermine signature matching, and promotes Morphisec’s memory-morphing AMTD approach as a prevention layer.
