#ai-security

#ai-security

An attacker who can inject arbitrary SQL statements into an application might be able to cause an integer overflow resulting in read off the end of an array.

Meta has addressed a security vulnerability that allowed users to access private prompts and AI-generated responses of others, revealing major concerns with data authorization.

"Think of AI as an exceptionally confident intern. It's helpful and full of suggestions, but requires oversight and verification," he says.

By framing the interaction as a guessing game, the researcher exploited the AI's logic flow to produce sensitive data.

If AI suggests unregistered or inactive domains, threat actors can register those domains and set up phishing sites. As long as users trust AI-provided links, attackers gain a powerful vector to harvest credentials or distribute malware at scale.

OpenAI is implementing enhanced security measures to safeguard its intellectual property from corporate espionage, largely prompted by the release of a competing model by Chinese startup DeepSeek.

OWASP's AITG is a true game-changer for AI security. As CISOs, we've wrestled with AI's non-deterministic nature and silent data drift. This guide offers a structured path to secure, auditable AI, from prompt injection to continuous monitoring.

According to Marc Fischer, CEO of Invariant Labs, this approach is necessary because agentic AI systems are a new category of software.

Anthropic's decision to leave the SQL injection vulnerability unpatched perpetuates a significant security threat to AI agents that depend on their SQLite Model Context Protocol.

"Today's service enhancements reflect our continued commitment to the European market, facilitating businesses in the region with AI-powered tools and solutions to stay competitive in the evolving AI era."

The legislation mandates the NSA to draft an AI security playbook to safeguard sensitive technologies from foreign threats, notably those posed by China.

Meta's LlamaCon showcases tools for developers, including the new Llama API and security-focused Llama protection tools, aiming to empower AI application development.

When traditional security approaches fall short in protecting non-human identities, organizations must rethink strategies for securing AI agents and other digital identities.

It's funny how, having been in both seats, the product engineer thinks about making the intended thing work, and the security engineer thinks about all the ways that you can game that system.

MCP's framework connects LLMs with external data, enhancing AI's utility, but introduces security risks including prompt injection and tool poisoning attacks.

Jade Leung, CTO at the UK AI Security Institute, emphasized that many AI companies are making substantial investments to evaluate risks, but more efforts are required.

Modern enterprises are adopting AI applications rapidly, introducing new cybersecurity risks that few are prepared to handle effectively, as highlighted by a recent McKinsey study.

As artificial intelligence continues to evolve, organizations must adopt robust AI infrastructure to harness its full potential. With this latest version of Kong AI Gateway, we're equipping our customers with the tools necessary to implement Agentic AI securely and effectively, ensuring seamless integration without compromising user experience.