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Threats and defenses explained for IT teams.
Integrates real-time AI visibility and runtime guardrails into Varonis' data security platform to control enterprise AI risks.
Why it matters: Security engineers can discover shadow AI and enforce runtime guardrails with the AI gateway, blocking data exfiltration before it occurs.
Behavioral AI provides real-time visibility and control over GenAI tools, agents, and shadow AI across SaaS and cloud environments, helping teams detect risky prompts, anomalous uploads, and policy violations.
Why it matters: SOC analysts can monitor prompts and agent behavior in real time to detect anomalous data uploads (an average of 4,700 pages per account) and behavioral drift immediately after deployment.
Invoke '@Malwarebytes' in ChatGPT to get real-time threat assessments of suspicious links, emails, texts, and phone numbers using Malwarebytes' threat intelligence.
Why it matters: SOC analysts can paste IOCs (suspicious URLs or phone numbers) into ChatGPT for Malwarebytes risk scores, cutting triage time by minutes per alert.
Scales AI-workload threat detection by integrating Securonix's agentic AI Unified Defence SIEM with Acora's managed SOC services.
Why it matters: SOC analysts prioritize high-value alerts with agentic AI triage, increasing throughput without adding headcount as AI workloads expand.
Standardizes data classification across environments with a unified taxonomy of 400+ identifiers and BYOAI support, enabling consistent policy-as-code and data sovereignty; open-source release planned.
Why it matters: Data security engineers can deploy AI classification on-premises or in airgapped sites using BYOAI on private GPUs to preserve data sovereignty and meet location requirements.
Joint research finds 175,108 publicly exposed Ollama hosts with unauthenticated tool-calling and uncensored prompts, raising risk of hijacking for phishing, spam, disinformation, and fraud.
Why it matters: Bind Ollama to localhost (127.0.0.1:11434) and add authentication to prevent public exposure of LLM hosts.
Unifies discovery, protection, and governance of AI use to manage risk across applications, cloud, APIs, and agents.
Why it matters: Discover shadow AI and monitor prompt data flows to prevent data leakage and prompt-injection attacks.
Discovers and governs autonomous AI agents and automates remediation to prevent sensitive data loss across endpoints, SaaS, and custom systems.
Why it matters: Gives security teams visibility into agent activity across environments and enables real-time remediation to reduce data exposure.
AI-driven automation accelerates multi-channel threats — from social engineering to ransomware — forcing organizations to strengthen core defenses.
Why it matters: Deploy AI-based threat detection and alerting to manage the ~1,968 weekly attacks and to flag risky prompts across tools.
ThreatLabz finds AI traffic and data flows growing faster than defenses, exposing universal enterprise vulnerabilities and driving an urgent need for AI-native zero-trust controls.
Why it matters: Inventory AI assets, including embedded models in SaaS and supply chain components, to restore visibility into data flows and reduce shadow AI risk.
Zero-trust, hardware-backed ephemeral identities secure autonomous AI agents across cloud and on-prem infrastructure.
Why it matters: Deploy agents with hardware-backed, ephemeral cryptographic identities to eliminate long-lived secrets and enforce least-privilege access.
Misconfigured gateways in the open-source agent can expose API keys, chat logs, and enable remote code execution via prompt injection.
Why it matters: Scan public-facing infrastructure with Shodan for the 'Clawdbot Control' fingerprint and take exposed panels offline or block access.
Davos leaders and security researchers now prioritize internal GenAI data leaks after reports revealed AI-generated malware frameworks and framework flaws that can expose training data and enable cloud takeover.
Why it matters: Risk reprioritization: Boards and CISOs must treat models and connected data stores as high-risk crown jewels and align budgets and controls accordingly.
Flaws in Anthropic’s MCP Git server show that rapid A2A/MCP adoption increases attack surface — teams must scan MCP tools and enforce least-privilege controls, using tools like Cisco's MCP Scanner, to reduce risk.
Why it matters: Treat MCP servers like package supply chains: scan every third-party MCP tool before deployment and block tools that request filesystem, arbitrary network, or exec access without clear justification.
At Davos, the WEF and industry surveys warn AI-enabled fraud is now the leading cyber risk for banks, driving regulator focus on model safety, explainability, and controls.
Why it matters: Audit and compliance teams should prepare for intensified regulator scrutiny on AI model safety, explainability, and operational controls in fraud detection and transaction systems.
Generative AI enables multi-channel, highly personalized phishing (email, SMS, voice) that bypasses legacy filters and human review, increasing identity and access risk.
Why it matters: AI scales personalized, context-aware lures across email, SMS and voice — static filters and training alone will miss many attacks.
Provides continuous, model‑agnostic runtime protection and automated red‑teaming to enforce zero‑trust AI defenses for enterprise deployments.
Why it matters: Runtime enforcement blocks prompt injection and data leakage at inference without altering models.
Researchers link a newly documented Linux malware framework to AI-assisted development; it targets cloud servers, steals credentials, and self-erases.
Why it matters: Prioritize cloud and identity telemetry: VoidLink targets cloud credentials and attempts to erase traces, so detect anomalous credential use and unusual API activity.
Enterprises scaling AI detection and supply‑chain identity tools must update playbooks and training to reduce dwell time and manage third‑party risk.
Why it matters: Integrate ML detection signals into incident-response playbooks and automate triage to shorten dwell time and speed containment.
A crafted URL can trigger a multistage 'Reprompt' chain that makes Microsoft Copilot Personal disclose session and context data with one click.
Why it matters: A single click can expose Copilot Personal session and context data—treat unsolicited Copilot links like suspicious attachments or phishing URLs.