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Channel veteran Howard M. Cohen explains why written security baselines, repeatable onboarding and ongoing configuration checks can help MSPs protect customers while improving margins.
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A survey of ransomware victims details exploited AI agents, personal intimidation and gaps in identity recovery.
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Risk-based authentication checks sensitive actions as they happen, while narrow permissions limit what AI agents can do on a user's behalf.
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Small businesses can turn agility, close-knit teams and focused security practices into a cybersecurity advantage -- if they take the risks seriously and invest in resilience.
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A global survey finds rising AI security spending, persistent cloud exposure and growing plans to evaluate post-quantum cryptography.
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Joey D'Antoni says AI is making familiar security failures faster and cheaper to exploit, putting new urgency behind old priorities such as least privilege, secrets management, data cleanup and strong verification.
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A new vendor coalition built on an Okta-developed blueprint is proposing a shared architecture for discovering, governing, monitoring and containing enterprise AI agents.
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Consultant Joey D'Antoni says enterprise governance has to change when AI shifts from generating answers to taking actions, with runtime controls and human accountability becoming central.
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Our 1-person SOC from Down Under, Paul Schnackenburg, examines the reality behind AI-powered cyberattacks and Microsoft's Project Perception, a preview of agentic defenses for discovering, detecting, and remediating vulnerabilities.
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The move gives the AI security effort neutral governance as it targets defenses spanning vendors, platforms, infrastructure and cloud environments.
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Rubrik and CrowdStrike are extending their identity-security integration with an agentic workflow designed to connect threat detection, investigation, containment and identity recovery.
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Verkada research finds cloud-managed physical security systems are far more likely to be running AI, while hybrid deployments still dominate the market.
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Cloud Security Alliance's latest Top Threats report ranks identity first while adding two AI-related risks to its list of 11 leading cloud security concerns.
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Brien Posey explains why backups alone don't equal cyber resilience. Enterprises need to prove they can restore critical systems quickly, safely and in the right business order after an attack.
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Survey respondents report outages, deployment delays and slow remediation as hybrid and multi-cloud policy management remains highly manual.
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Carlos Rivas, an AWS-Certified DevOps Professional, cloud consultant, software developer and AWS instructor, outlined a staged approach to DevSecOps that distributes automated security checks throughout software delivery while warning that overly restrictive controls can create noise, bottlenecks and unofficial bypasses.
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Snyk found agentic architectures in one-third of surveyed enterprise accounts as AI systems expanded beyond models.
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New offerings target cloud runtime defense, AI-agent identity, data control, exposure management and autonomous testing.
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Official studies released around Black Hat document faster exploitation, identity abuse, cloud compromise, supply-chain risk and AI-assisted criminal operations.
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The 2026 Threat Hunting Report traces a multiyear shift from conventional intrusions toward attacks that exploit trusted identities, cloud services, AI systems and software dependencies.
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Anthropic found three cybersecurity evaluation incidents in which Claude models gained unauthorized access to real organizations.
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AI is accelerating attackers' ability to change infrastructure, tools and techniques, making durable behavior-based detection and broader visibility increasingly important to cybersecurity defense.
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The July 29 releases expand Azure and identity protection, hypervisor coverage, enterprise application backup and long-term storage options.
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Organizations using AI to compensate for limited IT staffing must treat the technology as a critical operational dependency, cloud and data infrastructure analyst Greg Schulz warned.
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A bipartisan House proposal actually introduced just before the widely popularized Hugging Face breach by an OpenAI AI system would require major AI developers to retain shutdown controls as lawmakers point to recent loss-of-control concerns.