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CategoryAllData breach 2085Ransomware 1987Vulnerability 1854Phishing & fraud 1781Malware 1469Policy & legal 1357Industry 1139Threat actor 775Exploit / PoC 753AI tools & infra 252AI safety & security 206Research 185Advisory 110Tools 93
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Key Reasons Why Identity Fabric Matters in 2026

Identity sprawl and unowned machine identities leave enterprise access unobserved at runtime; identity fabrics aim to close the gap between policy intent and execution.

This sponsored explainer describes identity fabric as an architectural approach connecting identity providers, governance systems, applications, and infrastructure into one observable layer that compares designed access intent with runtime execution. It argues identity sprawl across SaaS, APIs, and cloud workloads, plus unmanaged non-human identities (service accounts, bots, workloads, API keys), leaves overprivileged, dormant, and unowned machine identities unmonitored. IdP-only monitoring misses application-layer attacks, and the piece advocates behavioral visibility and lifecycle governance for secrets and machine identities.

The Hacker News · 19d agoIndustry

Unmasking Cloud Identities: From Behavioral Clustering to Automated Detection

Unit 42 clusters behavior of 40,000+ AWS identities from 125 cloud environments to map functional roles and enable lightweight SQL-based detection.

Palo Alto Unit 42 built an unsupervised behavioral clustering model using UMAP and HDBSCAN on AWS CloudTrail logs to map cloud identities to functional roles such as administrators, backup services, security tooling and DevOps. The study analyzed over 40,000 identities across 125 cloud environments over two months. The researchers show that heuristics extracted from the clustering map can be implemented in standard SQL, enabling role classification at scale without running a continuous ML pipeline. The methodology extends to audit logs from other cloud providers, SaaS and Kubernetes.

Palo Alto Unit 42 · 2d agoResearch

Top 10 Best Cloud Infrastructure Entitlement Management (CIEM) Tools in 2026

2026 CIEM guide ranks Wiz, Prisma Cloud, Okta, Entra Permissions Management and specialists Sonrai, Britive, Tenable/Ermetic for cloud entitlement right-sizing.

Buyer's guide covers ten CIEM products across three market routes: CNAPP-bundled (Wiz, Prisma Cloud), identity-suite (Okta, CyberArk, SailPoint, Saviynt) and specialists (Sonrai, Britive, Tenable/Ermetic). It cites machine identities outnumbering humans 10:1 plus effective-permissions sprawl as core drivers, with JIT elevation as the fix. Notable consolidation includes Tenable acquiring Ermetic and Zscaler acquiring Canonic.

Cyber Security News · 1d agoTools

The Machine With Many Faces: Post-Exploitation Identity Misuse in SPIFFE/SPIRE

Unit 42 demonstrates that root access on a Kubernetes node lets attackers spoof SPIFFE/SPIRE attestation and harvest co-located workloads' SVIDs.

Palo Alto Networks Unit 42 describes post-exploitation techniques in which an attacker with root on a compromised Kubernetes node spoofs Linux cgroup metadata used by the SPIRE agent during workload attestation, tricking it into issuing a co-located workload's SPIFFE Verifiable Identity Document to an attacker-controlled process. The research shows the core trust assumption of machine-identity systems—that the node is trusted—collapses once root is obtained, exposing all cryptographic identities scoped to that node. Unit 42 released an open-source tool, Spooffe, for defenders to test identity exposure, and notes the technique has not been observed exploited in the wild.

Palo Alto Unit 42 · 6d agoResearch1

SpyCloud 2026 Identity Threat Report Finds Non-Human Identities Are Now the Leading Path into the Enterprise

SpyCloud survey of 750 security leaders finds compromised non-human identities are the top enterprise entry point, yet only 36% monitor them.

The 2026 Identity Threat Report surveyed 750 cybersecurity leaders at organizations with 500+ employees across North America and Europe. Compromised non-human identities (31%) were the most cited primary attacker entry point, nearly double phishing (17%), while only 36% of organizations monitor AI agents, service accounts and API keys. 68% of respondents reported identity-based events, averaging eight each, and 91% use AI tools but only 56% have formal governance over their privileges.

GBHackers · 7d agoResearch 2 sources

SpyCloud 2026 Identity Threat Report Finds Non-Human Identities Are Now the Leading Path into the Enterprise

SpyCloud's 2026 survey of 750 security leaders finds compromised non-human identities are the top enterprise entry point, yet only 36% monitor them.

SpyCloud's Identity Threat Report, based on a survey of 750 cybersecurity leaders at organizations with 500+ employees, found compromised non-human identities (31%) were nearly twice as likely as phishing (17%) to be the primary attacker entry point. 68% of organizations reported identity-based events averaging eight each, while 95% believe they have visibility into AI and NHI exposures but only 36% actually monitor them. The report also found 91% use AI tools with internal access but only 56% have formal governance, and introduces an Identity Threat Protection Maturity Model.

CSO Online · 7d agoIndustry

IAM Compliance Requirements and Best Practices

A guide maps IAM compliance requirements across SOX, PCI DSS, HIPAA, ISO 27001 and NIST 800-53, urging verified enforcement over documented policies.

The guide argues IAM compliance requires demonstrating that access controls are enforced at runtime, not merely documented, highlighting gaps between policy intent and application-layer execution. It maps recurring requirements across SOX ITGCs, PCI DSS v4.0, HIPAA, ISO/IEC 27001:2022, NIST SP 800-53 and GDPR, covering least privilege, separation of duties, access certification and audit trails. It recommends continuous, evidence-backed verification and application-layer telemetry instead of relying on identity provider logs or quarterly access reviews.

The Hacker News · 19d agoIndustry

Orchid Security targets AI agent risk with drift detection and kill switches

Orchid Security launched identity drift detection and application-level kill switches to govern AI agents that exploit enterprise identity debt.

Orchid Security announced AI readiness controls including agent discovery, continuous drift detection between an agent's intended purpose and observed behavior, and application-level kill switches that revoke credentials, disconnect tools, or suspend agent workflows. The company cites its Identity Gap 2026 finding that 57% of enterprise identity is unseen and unmanaged, which agents can leverage to gain elevated access in seconds to minutes. New integrations include a certified PAM integration for Palo Alto Networks Idira and identity telemetry streaming to Splunk Enterprise Security. The launch follows agentic enhancements to Orchid's Identity Control Plane in May 2026 and cites NIST's draft Cyber AI Profile and DORA as regulatory drivers.

Help Net Security · 7d agoAI safety & security

Top 10 Best SaaS Security Posture Management (SSPM) Tools in 2026

Scorecard ranks 2026 SSPM platforms with AppOmni and Obsidian Security leading after CrowdStrike folded Adaptive Shield into its Falcon platform.

The editorial scorecard rates ten SaaS security posture management tools on app coverage (30%), misconfiguration depth, SaaS identity/OAuth risk, shadow-SaaS discovery, and value. AppOmni scores 9.0 for unmatched app coverage across enterprise SaaS suites, and Obsidian Security scores 8.9 for SaaS identity threat detection and ITDR workflows. CrowdStrike now delivers Adaptive Shield's SSPM natively within Falcon, and Zscaler's Canonic Security acquisition signals continued platform consolidation.

Cyber Security News · 20h agoIndustry

Recorded Future Launches Digital Risk Protection, Unifying Brand and Identity Monitoring

Recorded Future launched Digital Risk Protection, unifying brand and identity monitoring across five external threat surfaces in one workflow.

Recorded Future announced Digital Risk Protection, combining brand threat monitoring and identity exposure monitoring across five use cases: malicious site, impersonation, code repository, dark web brand, and identity exposure monitoring. The platform includes an AI Triage Agent that automates alert evaluation with explicit verdicts and context, expanding social media analysis, OCR, full Telegram coverage, and infostealer log ingestion. Gartner's 2026 Magic Quadrant folded digital risk protection into cyber threat intelligence technologies, and the launch cites $15.9 billion in 2025 US fraud/scam losses, up 28% year over year.

Recorded Future · 8d agoTools

Threat Matrix: Mapping threats across cloud web applications

Microsoft released a Cloud Web Applications Threat Matrix, a MITRE ATT&CK-aligned framework mapping threats to cloud-hosted web apps and serverless platforms.

Microsoft introduced the cloud web applications threat matrix, which organizes attack techniques for cloud-hosted web apps and serverless platforms using MITRE ATT&CK tactics, from resource development through impact. The framework covers attack paths spanning application code, managed runtimes, workload identities, and deployment pipelines, cataloging techniques such as subdomain takeover, code injection in connected repositories, compromised registry images, exposed admin interfaces, and serverless trigger injection. It builds on Microsoft's earlier Kubernetes and storage services matrices to help defenders identify visibility gaps, prioritize hardening, and plan investigations in cloud-native environments.

Microsoft Security Blog · 7d agoTools

AI is making fraud harder to spot and identity harder to prove

Experian's 2026 report finds AI-generated scams, deepfakes and synthetic identities spreading across digital channels, pushing businesses toward adaptive identity verification and 'Know Your Agent' checks.

Experian's 2026 US Identity & Fraud Report, based on consumer and business surveys, found 60% of consumers aware of AI-generated image/video scams, 53% of AI phishing, and 47% of deepfake voice impersonation. 80% of US businesses already use machine learning or generative AI in fraud management, while AI chatbot account openings rose from 16% in 2025 to 27%. The report highlights adaptive authentication, behavioral biometrics, and emerging 'Know Your Agent' controls as AI agents begin acting on behalf of customers.

Help Net Security · 28d agoPhishing & fraud

CISA and NIST Release Technical Checklist for Safeguarding Identity Tokens From Theft and Misuse

CISA and NIST published NIST IR 8587, final guidance for protecting identity tokens from forgery, theft, replay, and signing-key compromise.

NIST Interagency Report 8587 (September 15, 2026) expands the IA-13 'Identity Providers and Authorization Servers' control from NIST SP 800-53 R5.1.1, guiding federal agencies and cloud providers on SSO, identity federation, and machine-to-machine authentication. It requires hardware-backed signing-key storage for moderate-impact systems, 90-day key rotation for high-impact systems, token lifetimes under one hour, and sender-constrained mechanisms such as mutual TLS and DPoP. The report cites incidents including forged SAML assertions that exposed over 60,000 emails from a federal agency. It also extends guidance to agentic AI systems using signed tokens and urges post-quantum cryptography migration planning.

Cyber Security News · 1d agoAdvisory1

AI workflows may be creating a dangerous new authorization blind spot

Noma Labs researchers describe 'workflow identity hijacking,' letting unauthenticated users trigger privileged AI workflows that execute actions with high-privilege service accounts.

Noma Labs lead researcher Sasi Levi detailed 'workflow identity hijacking,' where benign unauthenticated inputs via support inboxes, GitHub issues, or web forms trigger enterprise AI pipelines that execute privileged actions. The workflow runs using high-privilege service accounts or developer API keys, decoupled from the requester's identity, effectively creating a confused-deputy condition. Unlike prompt injection, the model behaves correctly; the failure lies in authorization enforcement at the workflow layer, and activity blends into routine automation. Mitigations include identity-aware access at execution points and user-context propagation between AI outputs and downstream operations.

CSO Onlineupdated · 6d agofirst · 6d agoAI safety & security 2 sources