Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Zero Trust for AI Agents: Enforcing Anthropic's Framework

AI has changed how work gets done. Agents can plan tasks, query enterprise repositories, invoke tools, write code, call application programming interfaces (APIs), and take actions across connected systems. As they work, they create, copy, fragment, transform, and share data across workflows. A perimeter and a one-time authorization decision do not provide enough control for this operating model. An agent can chain permissions, tools, integrations, and data sources while completing a task.

Request, Aggregate, Bypass: How Attackers Can Evade LLM Safety Classifiers

Modern frontier AI models deploy safety classifiers. These are second AI models that sit between the user and the frontier model, evaluating every request in real time. If a request is flagged as harmful, the classifier blocks it before the model can respond. Significant investment and safety model expertise have made these classifiers effective. Anticipating how adversaries circumvent these systems is a security problem that requires different expertise.

Strengthening Network Security for Modern Organizations

Organizations today face a common challenge: networks are growing, wireless connectivity is supporting more users and devices, and security threats continue to evolve. At the same time, IT teams are expected to deliver stronger protection, better performance, and greater visibility without increasing operational complexity. To help organizations meet these demands, WatchGuard is introducing three new additions to its Network Security portfolio: Firebox T175, Prime Security Suite, and AP340 Wi‑Fi 7.

The Cyber Risk Number That Goes to Three Different Committees

An exposure figure is produced once and read three times. The audit committee sees it, the risk committee sees it, and the board sees it, and each is answering a different oversight question. ‍ The figure travels well and the reasoning behind it does not. What arrives at the third reading is a number with no assumptions attached, and by then it reads as a fact. ‍

AI Governance Where the Regulator Also Runs the Market

AI governance evidence is usually prepared for a neutral reader. A regulator with no stake in the market, an auditor with no competing product, an examiner who gains nothing from what the documentation contains. ‍ In securities and derivatives markets that assumption does not hold. Exchanges and clearing organizations register as self-regulatory organizations, and most of them operate the market while regulating its participants. The reader of your evidence is also an operator. ‍

ISO 42001 Gap Analysis: What to Check Before Starting Certification

An ISO 42001 gap analysis compares how you govern AI today with what ISO/IEC 42001:2023 requires. Do it before you commit to audit dates. You’ll learn what’s missing, what you can’t yet prove and what to fix first. Quick answer What it is: a structured review of your AI management system (AIMS) against ISO/IEC 42001:2023 clauses 4–10 and the applicable Annex A controls. Is it mandatory? No. The standard requires an internal audit and management review, not a gap analysis.

Understanding Asymmetric Routing Risks in Modern Firewall Deployments

In modern network environments, maintaining both operational efficiency and strong security controls requires careful design and planning. One of the more common challenges Sophos Professional Services encounters, especially during firewall upgrades or redesigns, is asymmetric routing.

The Attribution Trap: What Happens When Threat Actors Manipulate the Story of an Attack?

Imagine waking up Monday morning to discover you’ve been breached. The attacker has stolen sensitive financial data, set up persistent access, and then greets you with a lovely ransom note at 8:00 a.m. demanding money in exchange for the encryption key. Immediately, you reach out to your security operations team, and they quickly begin assessing the damage and reviewing the breadcrumbs left behind.

What Is Cyber Insurance? Why Is It Important?

Cyberattacks can disrupt business operations to the extent that it may take days or even weeks for businesses to restore their operations. Attackers can expose sensitive data, selling it on the dark web or using it to extort ransom payments from organizations. While there are cybersecurity measures that organizations can take, those measures only prevent and respond to these incidents rather than stopping them entirely. This is where cybersecurity insurance becomes important.