Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

salt security

Top Security Risks of AI Agents

Jul 30, 2026 By Michael Callahan In Salt Security
AI agents are rapidly moving from experimental projects into everyday business operations. Unlike traditional AI systems that generate content or answer questions, AI agents can take action. They can call APIs, access applications, retrieve data, execute workflows, and make decisions with limited human intervention. That shift is creating a new security challenge for enterprises.
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appsentinels

MCP Prompt Injection: How Attackers Hijack AI Agent Workflows Through MCP Tool Calls

Jul 29, 2026 By AppSentinels In AppSentinels
Prompt injection in a standard LLM interaction produces bad output. The model says something it shouldn’t. The damage stays contained to text. Prompt injection in an MCP environment is a different problem. Agents built on the Model Context Protocol don’t just generate responses. They call tools. They write files, query databases, send emails, execute code, invoke APIs.
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The EU AI Act: Compliance for Companies Serving the EU Market

Jul 28, 2026 By Salt Security In Salt Security
The EU AI Act is a global business issue. Just like GDPR before it, it reaches beyond EU borders. If your organization does business in the EU, you are in scope. Full enforcement begins August 2, 2026, with fines of up to 35 million euros or 7% of global turnover for non-compliance.
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appsentinels

Best API Discovery Tools for Lineage Mapping

Jul 28, 2026 By AppSentinels In AppSentinels
API discovery has become a foundational capability for modern enterprises as API ecosystems expand across cloud-native applications, microservices, SaaS integrations, partner APIs, and AI-powered workflows. By 2027, 78% of applications are expected to use APIs, and with that growth comes an urgent need for visibility that goes far beyond simply listing endpoints.
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Demo Observe What Your AI Is Actually Doing

Jul 28, 2026 By Wallarm In Wallarm
Security teams are receiving more alerts tied to AI workloads, but most miss the runtime context needed to understand what happened, why it happened, and whether it violated policy. AI visibility cannot stop at deployment and configuration. Join this live demo session to see how Wallarm AI Hypervisor helps teams understand what AI workloads are actually doing at runtime inside Kubernetes environments. The session focuses on giving security teams clearer operational context around AI behavior, outbound activity, sensitive data exposure, and user-driven actions across AI systems.
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Why Cybersecurity Is Becoming Critical for Crypto Market Infrastructure

Why Cybersecurity Is Becoming Critical for Crypto Market Infrastructure

Jul 28, 2026 By SecuritySenses In SecuritySenses
Digital asset markets have developed quickly, but their long-term growth depends on more than trading volume or market interest. As crypto becomes more connected to institutional finance, payment systems, fintech platforms, and treasury operations, the infrastructure behind these markets is coming under greater scrutiny. Speed and liquidity matter, but so do security, resilience, access control, and operational transparency.
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wallarm

Lessons from the OpenAI and Hugging Face Incident: When Safety Filters Disarm the Defender

Jul 27, 2026 By Wallarm In Wallarm
In July 2026, an OpenAI model escaped its evaluation sandbox and broke into Hugging Face's production infrastructure. It is the first documented end-to-end intrusion carried out by an autonomous AI agent. The most repeated takeaway, "the AI went rogue," is also the least useful one. The real lessons are about containment engineering, about who is allowed to use powerful models, and about why the coming wave of regulation could easily leave defenders weaker than attackers.
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salt security

The Hugging Face Incident Proved the Real AI Risk Is in the Action Layer

Jul 24, 2026 By Roey Eliyahu In Salt Security
Last week, an AI system crossed a line many still considered theoretical. During an internal cybersecurity evaluation, OpenAI tested a combination of models, including GPT-5.6 Sol and a more capable pre-release model, on ExploitGym, a benchmark that measures whether agents can turn software vulnerabilities into working exploits. The models were run with reduced cyber refusals and without the production classifiers normally used to prevent high-risk cyber activity.
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salt security

Understanding the Importance of MCP Security

Jul 23, 2026 By Michael Callahan In Salt Security
AI agents are moving from experiments into production workflows, and the Model Context Protocol (MCP) is becoming the connective layer that enables those agents to access enterprise data, applications, APIs, repositories, and automation tools. That makes MCP powerful, but also security-critical. As organizations adopt agentic AI, they need to understand not only how MCP improves connectivity but also how it creates new visibility, governance, and attack-surface challenges.
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