Security | Threat Detection | Cyberattacks | DevSecOps | Compliance

Zenity

Artificial Intelligence Security Posture Management (AISPM): An Explainer

Feb 13, 2025 By Andrew Silberman In Zenity
As AI Agents continue to revolutionize everything about how business is done, ensuring the security of these agents has become paramount. While organizations have rushed to adopt DLP processes and whitelist/blacklist policies to block the use of malicious prompts, it’s worth noting that DLP and firewalls have been around for a very long time and have proven limited in mitigating the risks of users copy/pasting sensitive information onto the internet.
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Sensitive Data Leaks from AI Model Use | The 443 Podcast

Feb 13, 2025 By WatchGuard In WatchGuard
How are you using ChatGPT at work? On this week's episode of, Corey Nachreiner and Marc Laliberte dig into a report on sensitive data leakage caused by AI model use. They also cover a recent report that highlights a drop in ransomware payments in 2024, as well as a recent attack targeting ASP.NET web servers.
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a10 networks

The Dangers of Rushing into AI Adoption: Lessons from DeepSeek

Feb 13, 2025 By Jamison Utter In A10 Networks
As organizations race to adopt the latest advancements in artificial intelligence, DeepSeek serves as a cautionary tale about the potential dangers of rushing into the hype cycle without adequate consideration of security and ethical implications. DeepSeek, a Chinese AI startup, has been identified as having several significant security risks and vulnerabilities that could pose threats to both the company and its users.
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CrowdStrike

CrowdStrike Leads Agentic AI Innovation in Cybersecurity with Charlotte AI Detection Triage

Feb 13, 2025 By Elia Zaitsev In CrowdStrike
AI has become both a powerful ally and a formidable weapon in today’s cybersecurity landscape. While AI enables security teams to detect and neutralize threats with unmatched speed and precision, adversaries are equally quick to exploit its potential with increasingly sophisticated and automated attacks. This duality has created an arms race in which organizations must not only adopt AI but continually innovate to stay ahead.
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EP 1 - AI Gone Rogue: FuzzyAI and LLM Threats

Feb 12, 2025 By CyberArk In CyberArk
In the inaugural episode of the Security Matters podcast, host David Puner dives into the world of AI security with CyberArk Labs' Principal Cyber Researcher, Eran Shimony. Discover how FuzzyAI is revolutionizing the protection of large language models (LLMs) by identifying vulnerabilities before attackers can exploit them. Learn about the challenges of securing generative AI and the innovative techniques used to stay ahead of threats. Tune in for an insightful discussion on the future of AI security and the importance of safeguarding LLMs.
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Trustwave

How AI-powered Secure Email Gateways Fight Back vs. AI-armed Bad Actors

Feb 12, 2025 By Trustwave In Trustwave
As bad actors use artificial intelligence to step up their phishing game, mounting an effective defense means using a secure email gateway that likewise employs AI to detect even the most cleverly crafted phishing emails and the fraudulent websites to which the emails attempt to direct recipients. The concern is not just with generative AI (GenAI) tools like ChatGPT, which has some (rather limited) guardrails to prevent nefarious use.
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protecto

Protecting Sensitive Data in Snowflake through Protecto's External Tokenization

Feb 12, 2025 By Vaibhav In Protecto
With the rapid expansion of cloud data storage and analytics, enterprises are increasingly leveraging platforms like Snowflake for their scalability and performance. However, this also introduces new challenges in data security, particularly for industries dealing with sensitive data such as finance, healthcare, and e-commerce.
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bitsight

7 Questions Tech Buyers Should Ask About How Their Vendors Use AI

Feb 12, 2025 By Anders Norremo In BitSight
As AI becomes an increasingly critical component in the digital supply chain, tech buyers are struggling to appropriately measure and manage their AI risk. Keeping tabs on emerging risk from the AI technology they use is hard enough. But often the most crucial AI business functions that organizations depend upon aren’t directly under their control or care, but instead are governed by the tech vendors that embed them into their underlying software.
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