Artificial Intelligence
DeepSeek-R1 AI Poses 11x Higher Harmful Content Risk
The launch of DeepSeek’s R1 AI model has sent shockwaves through global markets, reportedly wiping $1 trillion from stock markets. Trump advisor and tech venture capitalist Marc Andreessen described the release as “AI’s Sputnik moment,” underscoring the global national security concerns surrounding the Chinese AI model.
However, new red teaming research by Enkrypt AI, the world’s leading AI security and compliance platform, has uncovered serious ethical and security flaws in DeepSeek’s technology. The analysis found the model to be highly biased and susceptible to generating insecure code, as well as producing harmful and toxic content, including hate speech, threats, self-harm, and explicit or criminal material. Additionally, the model was found to be vulnerable to manipulation, allowing it to assist in the creation of chemical, biological, and cybersecurity weapons, posing significant global security concerns.
Compared with other models, the research found that DeepSeek’s R1 is:
- 3x more biased than Claude-3 Opus
- 4x more vulnerable to generating insecure code than OpenAI’s O1
- 4x more toxic than GPT-4o
- 11x more likely to generate harmful output compared to OpenAI’s O1
- 3.5x more likely to produce Chemical, Biological, Radiological, and Nuclear (CBRN) content than OpenAI’s O1 and Claude-3 Opus
Sahil Agarwal, CEO of Enkrypt AI, said, “DeepSeek-R1 offers significant cost advantages in AI deployment, but these come with serious risks. Our research findings reveal major security and safety gaps that cannot be ignored. While DeepSeek-R1 may be viable for narrowly scoped applications, robust safeguards—including guardrails and continuous monitoring—are essential to prevent harmful misuse. AI safety must evolve alongside innovation, not as an afterthought.”
The model exhibited the following risks during testing:
- BIAS & DISCRIMINATION – 83% of bias tests successfully produced discriminatory output, with severe biases in race, gender, health, and religion. These failures could violate global regulations such as the EU AI Act and U.S. Fair Housing Act, posing risks for businesses integrating AI into finance, hiring, and healthcare.
- HARMFUL CONTENT & EXTREMISM – 45% of harmful content tests successfully bypassed safety protocols, generating criminal planning guides, illegal weapons information, and extremist propaganda. In one instance, DeepSeek-R1 drafted a persuasive recruitment blog for terrorist organizations, exposing its high potential for misuse.
- TOXIC LANGUAGE – The model ranked in the bottom 20th percentile for AI safety, with 6.68% of responses containing profanity, hate speech, or extremist narratives. In contrast, Claude-3 Opus effectively blocked all toxic prompts, highlighting DeepSeek-R1’s weak moderation systems.
- CYBERSECURITY RISKS – 78% of cybersecurity tests successfully tricked DeepSeek-R1 into generating insecure or malicious code, including malware, trojans, and exploits. The model was 4.5x more likely than OpenAI’s O1 to generate functional hacking tools, posing a major risk for cybercriminal exploitation.
- BIOLOGICAL & CHEMICAL THREATS – DeepSeek-R1 was found to explain in detail the biochemical interactions of sulfur mustard (mustard gas) with DNA, a clear biosecurity threat. The report warns that such CBRN-related AI outputs could aid in the development of chemical or biological weapons.
Sahil Agarwal concluded, “As the AI arms race between the U.S. and China intensifies, both nations are pushing the boundaries of next-generation AI for military, economic, and technological supremacy. However, our findings reveal that DeepSeek-R1’s security vulnerabilities could be turned into a dangerous tool—one that cybercriminals, disinformation networks, and even those with biochemical warfare ambitions could exploit. These risks demand immediate attention.”
Artificial Intelligence
CyberKnight Partners with Ridge Security for AI-Powered Security Validation
The automated penetration testing market was valued at roughly $3.1 billion in 2023 and is projected to grow rapidly, with forecasts estimating a compound annual growth rate (CAGR) between 21% and 25%. By 2030, the sector is expected to reach approximately $9 to $10 billion. The broader penetration testing industry is also expanding, with projections indicating it will surpass $5.3 billion by 2027, according to MarketandMarket.
To support enterprises and government entities across the Middle East, Turkey and Africa (META) with identifying and validating vulnerabilities and reducing security gaps in real-time, CyberKnight has partnered with Ridge Security, the World’s First Al-powered Offensive Security Validation Platform. Ridge Security’s products incorporate advanced artificial intelligence to deliver security validation through automated penetration testing and breach and attack simulations.
RidgeBot uses advanced AI to autonomously perform multi-vector iterative attacks, conduct continuous penetration testing, and validate vulnerabilities with zero false positives. RidgeBot has been deployed by customers worldwide as a key element of their journey to evolve from traditional vulnerability management to Continuous Threat Exposure Management (CTEM).
“Ridge Security’s core strength lies in delivering holistic, AI-driven security validation that enables organizations to proactively manage risk and improve operational performance,” said Hom Bahmanyar, Chief Enablement Officer at Ridge Security. “We are delighted to partner with CyberKnight to leverage their network of strategic partners, deep-rooted customer relations, and security expertise to accelerate our expansion plans in the region.”
“Our partnership with Ridge Security is a timely and strategic step, as 69% of organizations are now adopting AI-driven security for threat detection and prevention,” added Wael Jaber, Chief Strategy Officer at CyberKnight. “By joining forces, we enhance our ability to deliver automated, intelligent security validation solutions, reaffirming our commitment to empowering customers with resilient, future-ready cybersecurity across the region.”
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.
Artificial Intelligence
Fortinet Expands FortiAI Across its Security Fabric Platform
Fortinet has announced major upgrades to FortiAI, integrating advanced AI capabilities across its Security Fabric platform to combat evolving threats, automate security tasks, and protect AI systems from cyber risks. As cybercriminals increasingly weaponize AI to launch sophisticated attacks, organizations need smarter defenses. Fortinet—with 500+ AI patents and 15 years of AI innovation—now embeds FortiAI across its platform to:
- Stop AI-powered threats
- Automate security and network operations
- Secure AI tools used by businesses
“Fortinet’s AI advantage stems from the breadth and depth of our AI ecosystem—shaped by over a decade of AI innovation and reinforced by more patents than any other cybersecurity vendor,” said Michael Xie, Founder, President, and Chief Technology Officer at Fortinet. “By embedding FortiAI across the Fortinet Security Fabric platform, including new agentic AI capabilities, we’re empowering our customers to reduce the workload on their security and network analysts while improving the efficiency, speed, and accuracy of their security and networking operations. In parallel, we’ve added coverage across the Fabric ecosystem to enable customers to monitor and control the use of GenAI-enabled services within their organization.”
Key upgrades:
FortiAI-Assist – AI That Works for You
- Automatic Network Fixes: AI configures, validates, and troubleshoots network issues without human help.
- Smarter Security Alerts: Cuts through noise, prioritizing only critical threats.
- AI-Powered Threat Hunting: Scans for hidden risks and traces attack origins.
FortiAI-Protect – Defending Against AI Threats
- Tracks 6,500+ AI apps, blocking risky or unauthorized usage.
- Stops new malware with machine learning.
- Adapts to new attack methods in real time.
FortiAI-SecureAI – Safe AI Adoption
- Protects AI models, data, and cloud workloads.
- Prevents leaks from tools like ChatGPT.
- Enforces zero-trust access for AI systems.
FortiAI processes queries locally, ensuring sensitive data never leaves your network.
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