Drowning in threat data? You’re not alone. Bitsight Pulse turns overwhelming intel into clear, actionable insights — so you can see what matters and skip what doesn’t.
See how Cloudflare One simplifies access controls across both generative AI and agentic AI communication — all from one unified secure access service edge (SASE) dashboard. This demo highlights: Securing human-to-AI connections by as blocking or redirecting from unapproved tools and isolating AI apps to protect data (0:09) Streamlining access to MCP servers for AI-to-resource connections via Cloudflare’s MCP server portals (1:10)
See how Cloudflare One helps restore visibility and controls over unsanctioned use of AI tools. This demo highlights secure access service edge (SASE) capabilities including: Shadow AI reporting: Analyze how AI apps are used across your environment 0:10 Application confidence scores: Evaluate the risks posed by specific AI apps 1:10 Access controls: Allow, block, redirect, isolate, and more based on an app’s approval status 1:45.
See how Cloudflare One helps protect sensitive data when users interact with generative AI apps. This demo highlights secure access service edge (SASE) capabilities including: Data loss prevention (DLP) detections for sensitive content (e.g., PII, source code, financials) 0:22 Detections for data at rest in AI tools like ChatGPT 1:00 Guardrails for user prompts based on intent / topic to block jailbreak attempts, code abuse, PII requests, and other risky behavior 2:12.
See how Cloudflare One helps you manage the security posture of GenAI tools like ChatGPT, Claude, and Gemini. This demo highlights: API integrations: Available for ChatGPT, Gemini, and Claude, and most popular SaaS apps 0:18 Posture findings: Scan for misconfigurations, unauthorized activity, and other security issues 0:50 Shadow AI discovery: Find what third-party AI apps access your SaaS tools 1:15.
The RBI incident (Burger King, Tim Hortons) proves that BLA often results from a cascade of simple flaws, not one complex attack. The key mistake: GraphQL Introspection was enabled. This gave the attacker the full API blueprint - the map needed to find the open registration validation flaw and execute a massive data leak. Action Item: If you have GraphQL, check your production settings now. Disable Introspection. Don't hand the attacker the map to your castle!
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This year, the cybersecurity landscape shifted. Between the rapid adoption of AI-generated code and the increasing complexity of software supply chains, security teams faced unprecedented challenges. According to IBM’s annual Cost of a Data Breach Report, the global average cost of a data breach in 2025 was USD 4.44 million. Organizations needed more than just tools; they needed a partner capable of moving at the speed of modern development.
As we close out 2025, I find myself reflecting on what has been an extraordinary journey for AlgoSec. This year was marked by breakthrough innovations, significant industry recognition, and an unwavering commitment to our vision of secure application connectivity. From launching game-changing solutions to earning accolades on the global stage, 2025 challenged us to push boundaries – and we rose to the occasion with confidence and purpose.
DLP solutions have a challenge in detecting standard document types: financial records, source code, and customer lists. Moreover, what happens when your organization needs to protect business-critical documents that don't fit pre-built categories? Or when you need more granular classification to support specific workflows? Traditional approaches force you to choose between brittle regex patterns that generate false positives.