Cyber Security
Researcher Finds New Way to Exploit Intel CPU Flaws

PT SWARM expert Mark Ermolov discovered a new exploitation vector for the vulnerabilities CVE-2017-5705, CVE-2017-5706, CVE-2017-5707, CVE-2019-0090, and CVE-2021-0146, which Intel has already fixed. Previously, these issues only enabled partial compromise, but this new method can lead to a complete security breach of affected platforms.
The newly discovered approach to exploitation can be applied to attacks on devices equipped with Intel Pentium, Celeron, and Atom processors from the Denverton, Apollo Lake, Gemini Lake, and Gemini Lake Refresh series. Production of these chips has ended, yet they remain in embedded systems, such as automotive electronics, and in ultra-mobile devices, including e-readers and mini-PCs. Intel was notified in accordance with the responsible disclosure policy but rejected the described problem and refused to take measures to eliminate or reduce the threat level.
The main exploitation vector involves supply chain attacks. Attackers can embed spyware at the assembly or repair stage without altering the hardware. “This approach requires no soldering or any other physical modification,” said Ermolov. “Local access is enough to retrieve the encryption key and inject malicious code into Intel CSME firmware. These implants often slip under the radar of Intel Boot Guard, virtualization-based security (VBS), and antivirus solutions. They can operate unnoticed, capture user data, lock devices, erase or encrypt files, and carry out other destructive actions.”
A secondary risk involves exploiting these formerly patched flaws to bypass DRM safeguards, which can grant unauthorized access to content from various streaming services. The newly identified method also circumvents some Amazon e-reader protections, allowing threat actors to copy data on devices powered by vulnerable Intel Atom processors. Attackers can also use these tactics to access data on encrypted storage devices like hard drives or SSDs. This approach can target laptops or tablets built on the at-risk processors.
Cyber Security
GISEC Global 2025: Phishing, Data Breaches, Ransomware, and Supply Chain Attacks Causing Challenges

Maher Jadallah, the Vice President for Middle East and North Africa at Tenable, says effective exposure management requires a unified view of the entire attack surface (more…)
Cyber Security
GISEC Global 2025: A Place Where Innovation, Partnerships, and Leadership Come Together

Meriam ElOuazzani, the Senior Regional Director for META at SentinelOne, says, the company will showcase its latest developments in AI-powered security solutions, reinforcing its position as a leader in this area (more…)
Artificial Intelligence
Cequence Intros Security Layer to Protect Agentic AI Interactions

Cequence Security has announced significant enhancements to its Unified API Protection (UAP) platform to deliver a comprehensive security solution for agentic AI development, usage, and connectivity. This enhancement empowers organizations to secure every AI agent interaction, regardless of the development framework. By implementing robust guardrails, the solution protects both enterprise-hosted AI applications and external AI APIs, preventing sensitive data exfiltration through business logic abuse and ensuring regulatory compliance.
There is no AI without APIs, and the rapid growth of agentic AI applications has amplified concerns about securing sensitive data during their interactions. These AI-driven exchanges can inadvertently expose internal systems, create significant vulnerabilities, and jeopardize valuable data assets. Recognising this critical challenge, Cequence has expanded its UAP platform, introducing an enhanced security layer to govern interactions between AI agents and backend services specifically. This new layer of security enables customers to detect and prevent AI bots such as ChatGPT from OpenAI and Perplexity from harvesting organizational data.
Internal telemetry across Global 2000 deployments shows that the overwhelming majority of AI-related bot traffic, nearly 88%, originates from large language model infrastructure, with most requests obfuscated behind generic or unidentified user agents. Less than 4% of this traffic is transparently attributed to bots like GPTBot or Gemini. Over 97% of it comes from U.S.-based IP addresses, highlighting the concentration of risk in North American enterprises. Cequence’s ability to detect and govern this traffic in real time, despite the lack of clear identifiers, reinforces the platform’s unmatched readiness for securing agentic AI in the wild.
Key enhancements to Cequence’s UAP platform include:
- Block unauthorized AI data harvesting: Understanding that external AI often seeks to learn by broadly collecting data without obtaining permission, Cequence provides organizations with the critical capability to manage which AI, if any, can interact with their proprietary information.
- Detect and prevent sensitive data exposure: Empowers organizations to effectively detect and prevent sensitive data exposure across all forms of agentic AI. This includes safeguarding against external AI harvesting attempts and securing data within internal AI applications. The platform’s intelligent analysis automatically differentiates between legitimate data access during normal application usage and anomalous activities signaling sensitive data exfiltration, ensuring comprehensive protection against AI-related data loss.
- Discover and manage shadow AI: Automatically discovers and classifies APIs from agentic AI tools like Microsoft Copilot and Salesforce Agentforce, presenting a unified view alongside customers’ internal and third-party APIs. This comprehensive visibility empowers organizations to easily manage these interactions and effectively detect and block sensitive data leaks, whether from external AI harvesting or internal AI usage.
- Seamless integration: Integrates easily into DevOps frameworks for discovering internal AI applications and generates OpenAPI specifications that detail API schemas and security mechanisms, including strong authentication and security policies. Cequence delivers powerful protection without relying on third-party tools, while seamlessly integrating with the customer’s existing cybersecurity ecosystem. This simplifies management and security enforcement.
“Gartner predicts that by 2028, 33% of enterprise software applications will include agentic AI, up from less than 1% in 2024, enabling 15% of day-to-day work decisions to be made autonomously. We’ve taken immediate action to extend our market-leading API security and bot management capabilities,” said Ameya Talwalkar, CEO of Cequence. “Agentic AI introduces a new layer of complexity, where every agent behaves like a bidirectional API. That’s our wheelhouse. Our platform helps organizations embrace innovation at scale without sacrificing governance, compliance, or control.”
These extended capabilities will be generally available in June.
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