Security Boulevard

What Makes Non-Human Identities Critical for Cloud Security? Have you considered how essential Non-Human Identities (NHIs) are when it comes to securing cloud environments? From the financial services industry to healthcare, these machine identities play a pivotal role in bolstering an organization’s cloud security infrastructure. While we delve into their significance, let’s explore the strategic […]

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The data breach disclosed by fintech lender Figure Technology Solutions is moving beyond a contained security incident, as reports that stolen customer information is circulating online coincide with early legal investigations. The developments mark the point where an internal breach begins to create broader consumer risk and potential liability. Latest Developments Data associated with the […]

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Feb 18, 2026 - Lina Romero - What is Agent Goal Hijack?Agent Goal Hijack occurs when an attacker manipulates an agent's objectives or decision pathways. Unlike traditional LLM attacks that focus on altering a single response, ASI01 targets the planning logic of the agent.Agents rely on natural-language instructions, so they often can’t reliably distinguish between a legitimate command from a developer and malicious content embedded in a retrieved document or email.Examples of ASI01:EchoLeak: A "zero-click" attack where a crafted email silently triggers an AI (like Microsoft 365 Copilot) to exfiltrate confidential files and chat logs without any user interaction.Goal-Lock Drift: A malicious calendar invite injects recurring instructions that subtly reweight the agent's objectives every morning, steering it toward unauthorized approvals.Financial Manipulation: A malicious prompt override tricks a financial agent into transferring funds directly to an attacker's account.Mitigation MethodsOWASP recommends a "Least Agency" approach which avoids unnecessary autonomy.Key Strategies:Enforce Human-in-the-Loop: Require human approval for high-impact actionsIntent Validation: Validate both the user's intent and the agent's proposed intent before execution.Sanitize All Inputs: Apply Zero Trust to all your data sources.Behavioral Baselines: Monitor continuously to detect anomalous tool-use patterns.As we continue to adopt AI agents at scale, understanding and mitigating Agent Goal Hijack is absolutely essential for the next generation of secure automation.Want to learn more about managing AI risks, or take control of your AI posture today? Schedule a demo here [LINK].

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An in-depth Suped review covering features, pricing, pros and cons, and real-world use cases. Discover whether Suped is the right email deliverability tool for your business.

The post Suped Review – Features, User Experience, Pros & Cons (2026) appeared first on Security Boulevard.

An attacker’s initial access, whether through phishing, unmanaged devices, exploited vulnerabilities, or a compromised supply chain, marks the beginning of a dangerous chain of events.

The post Master XDR Investigations: A Deep Dive into the GravityZone XDR Demo Incident appeared first on Security Boulevard.

California regulators have issued their largest penalty yet under the California Consumer Privacy Act, announcing a $2.75 million settlement with The Walt Disney Company after investigators found that consumer opt-out requests were not consistently honored across devices and streaming platforms. The case centers on a straightforward expectation that is becoming harder for companies to meet: […]

The post California Fines Disney $2.75 Million in Record CCPA Case appeared first on Centraleyes.

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Learn how to protect your AI infrastructure from quantum-enabled side-channel attacks using post-quantum cryptography and ai-driven threat detection for MCP.

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How Do Non-Human Identities Impact Security in a Cloud Environment? Have you ever pondered how non-human identities (NHIs) play a role? Where organizations migrate to cloud-based systems, security is dramatically shifting. NHIs, essentially machine identities, are rapidly becoming crucial to maintaining robust security protocols. Understanding the Role of Non-Human Identities At the heart of this […]

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How Can Automated Secrets Rotation Empower DevOps Teams? What happens when the seamless flow of DevOps is disrupted by security incidents? With DevOps teams continue to embrace the rapid deployment of applications and services across the cloud, the need for comprehensive secrets management becomes crucial. One modern solution is automated secrets rotation, a powerful tool […]

The post How are DevOps teams empowered by automated secrets rotation? appeared first on Entro.

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What Are Non-Human Identities, and Why Are They Critical for Secure Cloud Environments? Ensuring the security of non-human identities (NHIs) is paramount for organizations operating in cloud environments. NHIs often refer to machine identities crucial for protecting sensitive data and maintaining the integrity of IT systems. With an increasing reliance on cloud computing, managing these […]

The post How secure are Agentic AI-driven compliance audits? appeared first on Entro.

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What Are Non-Human Identities in Cybersecurity? Have you ever wondered what really goes on behind the scenes when machines communicate securely with one another? The answer resides in a concept known as Non-Human Identities (NHIs), which are critical for modern cybersecurity. These machine identities are not unlike human passports, paired with encrypted credentials or “secrets” […]

The post Are the investments in Agentic AI security systems justified? appeared first on Entro.

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Explore User Managed Access (UMA) 2.0. Learn how this protocol enables granular sharing, party-to-party delegation, and secure AI agent authorization.

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Announcing the launch of AI Agent Configuration Scanning.

The post Securing the New Control Plane: Introducing Static Scanning for AI Agent Configurations appeared first on Security Boulevard.

Session 12D: ML Backdoors

Authors, Creators & Presenters: Dazhuang Liu (Delft University of Technology), Yanqi Qiao (Delft University of Technology), Rui Wang (Delft University of Technology), Kaitai Liang (Delft University of Technology), Georgios Smaragdakis (Delft University of Technology)

PAPER
LADDER: Multi-Objective Backdoor Attack via Evolutionary Algorithm
Current black-box backdoor attacks in convolutional neural networks formulate attack objective(s) as single-objective optimization problems in single domain. Designing triggers in single domain harms semantics and trigger robustness as well as introduces visual and spectral anomaly. This work proposes a multi-objective black-box backdoor attack in dual domains via evolutionary algorithm (LADDER), the first instance of achieving multiple attack objectives simultaneously by optimizing triggers without requiring prior knowledge about victim model. In particular, we formulate LADDER as a multi-objective optimization problem (MOP) and solve it via multi-objective evolutionary algorithm (MOEA). MOEA maintains a population of triggers with trade-offs among attack objectives and uses non-dominated sort to drive triggers toward optimal solutions. We further apply preference-based selection to MOEA to exclude impractical triggers. LADDER investigates a new dual-domain perspective for trigger stealthiness by minimizing the anomaly between clean and poisoned samples in the spectral domain. Lastly, the robustness against preprocessing operations is achieved by pushing triggers to low-frequency regions. Extensive experiments comprehensively showcase that LADDER achieves attack effectiveness of at least 99%, attack robustness with 90.23% (50.09% higher than state-of-the-art attacks on average), superior natural stealthiness (1.12 times to 196.74 times improvement) and excellent spectral stealthiness (8.45 times enhancement) as compared to current stealthy attacks by the average l_2 - norm across 5 public datasets.

ABOUT NDSS
The Network and Distributed System Security Symposium (NDSS) fosters information exchange among researchers and practitioners of network and distributed system security. The target audience includes those interested in practical aspects of network and distributed system security, with a focus on actual system design and implementation. A major goal is to encourage and enable the Internet community to apply, deploy, and advance the state of available security technologies.

Our thanks to the Network and Distributed System Security (NDSS) Symposium for publishing their Creators, Authors and Presenter’s superb NDSS Symposium 2025 Conference content on the Organizations' YouTube Channel.

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WASHINGTON, Feb. 17, 2026, CyberNewswire: The Cybersecurity Excellence Awards today published early nomination insights from the 2026 program, highlighting a shift in vendor emphasis from broad AI positioning toward governance frameworks, identity architecture, and measurable accountability. Produced by Cybersecurity Insiders, … (more…)

The post News alert: Award nominations reveal a shift from AI hype to a sharper focus on governing agentic AI first appeared on The Last Watchdog.

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Washington DC, USA, 17th February 2026, CyberNewswire

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The Red Report 2026 on the Top 10 Most Prevalent Att&Ck® Mitre Techniques shows a shift by bad actors from disruption to long-lived access. 

The post 80% of Att&Ck® Mitre Techniques Now Dedicated to Evasion and Persistence  appeared first on Security Boulevard.

Google has released an emergency update to patch an actively exploited zero-day—the first Chrome zero-day of the year.

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How Cloud Monitor provides long-term value and consistent student protection in Google Workspace In Centerville, Tennessee, Hickman County School District serves approximately 2,500 students across nine schools with a small but highly capable technology team. Leading that effort is Brad Gilbert, Director of Technology, a forward-thinking IT leader who has long recognized that student safety ...

The post Ahead of the Curve: Hickman County School District’s Proactive Approach to Student Safety appeared first on ManagedMethods Cybersecurity, Safety & Compliance for K-12.

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Here are three papers describing different side-channel attacks against LLMs.

“Remote Timing Attacks on Efficient Language Model Inference“:

Abstract: Scaling up language models has significantly increased their capabilities. But larger models are slower models, and so there is now an extensive body of work (e.g., speculative sampling or parallel decoding) that improves the (average case) efficiency of language model generation. But these techniques introduce data-dependent timing characteristics. We show it is possible to exploit these timing differences to mount a timing attack. By monitoring the (encrypted) network traffic between a victim user and a remote language model, we can learn information about the content of messages by noting when responses are faster or slower. With complete black-box access, on open source systems we show how it is possible to learn the topic of a user’s conversation (e.g., medical advice vs. coding assistance) with 90%+ precision, and on production systems like OpenAI’s ChatGPT and Anthropic’s Claude we can distinguish between specific messages or infer the user’s language. We further show that an active adversary can leverage a boosting attack to recover PII placed in messages (e.g., phone numbers or credit card numbers) for open source systems. We conclude with potential defenses and directions for future work...

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